LSST: From Science Drivers to Reference Design and Anticipated Data Products
Open accessAbstract
We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way. LSST will be a large, wide-field ground-based system designed to obtain repeated images covering the sky visible from Cerro Pachón in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg 2 field of view, a 3.2-gigapixel camera, and six filters ( ugrizy ) covering the wavelength range 320–1050 nm. The project is in the construction phase and will begin regular survey operations by 2022. About 90% of the observing time will be devoted to a deep-wide-fast survey mode that will uniformly observe a 18,000 deg 2 region about 800 times (summed over all six bands) during the anticipated 10 yr of operations and will yield a co-added map to r ∼ 27.5. These data will result in databases including about 32 trillion observations of 20 billion galaxies and a similar number of stars, and they will serve the majority of the primary science programs. The remaining 10% of the observing time will be allocated to special projects such as Very Deep and Very Fast time domain surveys, whose details are currently under discussion. We illustrate how the LSST science drivers led to these choices of system parameters, and we describe the expected data products and their characteristics.
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TL;DR
This paper describes the Large Synoptic Survey Telescope (LSST) reference design and anticipated data products, driven by four science themes: probing dark energy and dark matter, inventorying the solar system, exploring the transient optical sky, and mapping the Milky Way. It reports a planned 10 yr, 18,000 deg², six-band ugrizy survey with an 8.4 m (6.5 m effective) telescope, 9.6 deg² field of view, 3.2-gigapixel camera, and co-added depth r ∼ 27.5.
Key findings
- LSST is designed with an 8.4 m (6.5 m effective) primary mirror, 9.6 deg² field of view, 3.2-gigapixel camera, six filters (ugrizy) covering 320–1050 nm, and étendue of 319 m² deg². About 90% of observing time is planned for a deep-wide-fast survey over 18,000 deg², with about 800 visits summed over all six bands over 10 yr, yielding a co-added map to r ∼ 27.5 and databases including about 32 trillion observations of 20 billion galaxies and a similar number of stars.
- Table 1 gives single-visit design depths in ugrizy of 23.9, 25.0, 24.7, 24.0, 23.3, 22.1; final co-added depths of 26.1, 27.4, 27.5, 26.8, 26.1, 24.9; and mean numbers of visits of 56, 80, 184, 184, 160, 160.
- For solar system objects, the baseline cadence discovers 66% of potentially hazardous asteroids (PHAs) and 61% of near-Earth objects (NEOs) with H ≤ 22 after 10 yr; combined with current and ongoing surveys, this becomes 81% of PHAs and 73% of NEOs. With a 12 yr survey and a 30-day MOPS linking window, LSST alone could discover 74% of PHAs and 69% of NEOs, and combined with existing resources 86% of PHAs and 77% of NEOs.
- Anticipated data products include alerts within 60 s of observation, several million alerts per night, about 15 TB per night of raw imaging data (about 20 TB with calibration exposures), and about 60 PB collected over the survey lifetime. Forecasts include photometric redshifts with rms σ/(1+z) of 2% over 0.3 < z < 3.0 (degrading to ∼0.05 if training data are insufficient), about 400,000 photometrically classified SNe Ia, neutrino mass sum constraints of 0.04 eV or better, over 30,000 TNOs brighter than r ∼ 24.5, about 20 billion Milky Way stars, and photometric metallicities for about 200 million main-sequence F/G stars.
Methods
- This is a reference-design and data-product overview, not an observational result; it synthesizes science requirements and system design choices for LSST.
- Performance forecasts use simulations: the LSST Operations Simulator, CatSim catalogs, GalSim and PhoSim image simulations, and the Metrics Analysis Framework (MAF), with the baseline2018a cadence. NEO completeness uses PHA orbits from Grav et al. (2007), MOPS linking, and a detection criterion of at least three nights within 15 days with a minimum of two visits per night.
- Astrometric errors are modeled as θ/S/N with θ = 700 mas plus 10 mas systematic errors added in quadrature, solved iteratively; photometric S/N is modeled with equations and parameters in Table 2. Data products are defined as Prompt products and Data Release (DR) products.
Limitations
- Stated in the paper: the baseline universal cadence is not definitive, cadence alternatives are under vigorous discussion, and commissioning will test observing modes; mini-survey details are under discussion. Limiting depth predictions are uncertain by about 0.1–0.2 mag due to solar activity. NEO completeness is uncertain at the ±5% level due to orbital distribution, size distribution, shape/light-curve variations, surface properties, and weather. Photometric redshift quality may degrade to σ/(1+z) ∼ 0.05 if more training data are required than currently exist. Some crowded Galactic plane fits may use only a point-source model, and it is not yet clear to what extent measurements can be made on linear combinations of input images.
- Evident from the text: all performance numbers are forecasts from simulations and design specifications rather than empirical LSST survey measurements, and the survey had not yet begun regular operations at the time of writing.
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- Findingnone given§ 3.2.1. Expected Photometric S / N · p. 22
Detailed determination of the system throughput yields the values of γ listed in Table 2.
“Detailed determination of the system throughput yields the values of γ listed in Table 2.”
Quote in the paperNot a substantial claim - Findingnone given§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20
If a field is visited every 2 days over 4 months, about 600 deg2 can be observed with this cadence over 10 yr.
“If a fi eld is visited every 2 days over 4 months, about 600 deg 2 can be observed with this cadence over 10 yr.”
Quote in the paperNot a substantial claim - Findingcitation§ LSST Baseline · p. 23
The limiting depth predictions are uncertain by about 0.1-0.2 mag, due to unpredictable solar activity (which influences night sky brightness; Patat 2008).
“Note that the limiting depth predictions are uncertain by about 0.1 -0.2 mag, due to unpredictable solar activity ( which in fl uences the night sky brightness; Patat 2008 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Patat 2008 source
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- Findingown data§ Notes. · p. 24
By running the survey for an additional 2 yr, completeness can be boosted by another 4%.
“By running the survey for an additional 2 yr, we can boost completeness by another 4%.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All potentially hazardous asteroids are assumed to be C-type asteroids.
- Premisecitation§ 2.1.4. Mapping the Milky Way · p. 7
Recent results from Gaia Data Release 2 demonstrate that early predictions of the Gaia mission performance were robust.
“Recent results from Gaia Data Release 2 ( DR2 ) demonstrate that these early predictions of the mission performance were robust ( Gaia Collaboration et al. 2018; Lindegren et al. 2018 ) .”
Quote in the paperNot a substantial claim0 of 2 sources checked
- Interpretationcitation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5
These numbers are sufficient to meet Stage IV dark energy goals as defined by the Dark Energy Task Force.
“These numbers are adequate to reach Stage IV goals for dark energy, as de fi ned by the Dark Energy Task Force ( Albrecht et al. 2006 ) .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Albrecht et al. 2006
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- Premisecitation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 4
With CMB fluctuations as normalization, combining these probes can achieve the precision needed to distinguish dark energy models.
“Using the cosmic microwave background ( CMB ) fl uctuations as the normalization, the combination of these probes can yield the needed precision to distinguish among models of dark energy”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zhan 2006 source
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- Premisecitation§ 2. From Science Drivers to Reference Design · p. 4
SDSS has an effective étendue of only 5.9 m2 deg2.
“For example, the SDSS, with its 2.5 m telescope ( Gunn et al. 2006 ) and a camera with 30 imaging CCDs ( Gunn et al. 1998 ) , has an effective étendue of only 5.9 m 2 deg 2 .”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7
Astrometric precision should maintain the systematic limit set by the atmosphere, of about 10 mas per visit at the bright end on scales below 20 arcmin.
“Astrometric precision should maintain the systematic limit set by the atmosphere, of about 10 mas per visit at the bright end ( on scales below 20 arcmin ) .”
Quote in the paperNot a substantial claim - Interpretationnone given§ Abstract · p. 3
LSST data will yield databases containing about 32 trillion observations of 20 billion galaxies and a similar number of stars.
“These data will result in databases including about 32 trillion observations of 20 billion galaxies and a similar number of stars”
Quote in the paperNot a substantial claim- Rests on an assumption: The LSST construction will be completed and the survey will operate for the planned 10 years.
- Rests on an assumption: The LSST system will achieve the specified design parameters (mirror, field of view, camera, filters) in operation.
- Premisecitation§ 2.5. The Calibration Methods · p. 12
SDSS, PS1, and DES data taken in good photometric conditions have approached the LSST requirement of 1% photometric calibration.
“SDSS, PS1, and DES data taken in good photometric conditions have approached the LSST requirement of 1% photometric calibration ( Padmanabhan et al. 2008; Schla fl y et al. 2012; Burke et al. 2018 ) , although measurements with ground-based telescopes typically produce data with errors a factor of two or so larger.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationnone given§ 2.1.4. Mapping the Milky Way · p. 7
To achieve the required proper-motion and parallax accuracy with an assumed astrometric accuracy of 10 mas per observation per coordinate, approximately 1000 separate observations are required.
“To achieve the required proper-motion and parallax accuracy with an assumed astrometric accuracy of 10 mas per observation per coordinate, approximately 1000 separate observations are required.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Astrometric accuracy of 10 mas per observation per coordinate is assumed.
- Interpretationcitation§ 2.4. The Filter Complement · p. 10
The effects of atmospheric dispersion on weak lensing studies are mitigated by modeling the point-spread function as a function of the color of the object.
“The effects of atmospheric dispersion on WL studies are mitigated by modeling the PSF as a function of the color of the object ( for more details, see Meyers & Burchat 2015; Carlsten et al. 2018 ) .”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Meyers & Burchat 2015
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- cites Carlsten et al. 2018 source
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- Interpretationcitation§ 2.1.2. Taking an Inventory of the Solar System · p. 6
Discovering and linking objects in the solar system moving with a wide range of apparent velocities places strong constraints on the cadence of observations, requiring closely spaced pairs of observations two or preferably three times per lunation in order to link detections unambiguously and derive orbits.
“Discovering and linking objects in the solar system moving with a wide range of apparent velocities ( from several degrees per day for NEOs to a few arcseconds per day for the most distant TNOs ) places strong constraints on the cadence of observations, requiring closely spaced pairs of observations ( two or preferably three times per lunation ) in order to link detections unambiguously and derive”
Quote in the paperSubstantial claim0 of 1 sources checked- cites SciBook, Chap. 5
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- Premisecitation§ 2.5. The Calibration Methods · p. 12
Analysis of repeated SDSS scans in varying observing conditions shows that nonphotometric data can be calibrated with sufficient accuracy if high-quality photometric data also exist in the region.
“Analysis of repeated SDSS scans obtained in varying observing conditions demonstrates that data obtained in nonphotometric conditions can also be calibrated with suf fi cient accuracy ( Ivezi ć et al. 2007a ) , as long as high-quality photometric data also exist in the region.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ivezić et al. 2007a
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- Interpretationreasoning§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 8
The distribution of visits on the sky should extend over at least approximately 18,000 square degrees.
“The distribution of visits on the sky should extend over at least ∼ 18,000 deg 2 to obtain the required number of galaxies for WL studies, with attention paid to include ' special ' regions such as the ecliptic and Galactic planes, and the Large and Small Magellanic Clouds ( if in the Southern Hemisphere ) .”
Quote in the paperSubstantial claim - Interpretationreasoning§ 2.2.1. The Aperture Size · p. 8
The LSST field-of-view area is maximized to its practical limit of approximately 10 square degrees, determined by the requirement that the delivered image quality be dominated by atmospheric seeing at the chosen site, Cerro Pachón.
“The LSST fi eld-of-view area is maximized to its practical limit, ∼ 10 deg 2 , determined by the requirement that the delivered image quality be dominated by atmospheric seeing at the chosen site ( Cerro Pachón in northern Chile ) .”
Quote in the paperSubstantial claim - Interpretationreasoning§ 3.2.1. Expected Photometric S / N · p. 22
In the limit tvis → ∞, a correction needs to be added to Cm.
“In the limit t vis ¥ , the following correction needs to be added to Cm :”
Quote in the paperNot a substantial claim - Interpretationnone given§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24
To model astrometric errors, both random and systematic effects must be considered.
“To model the astrometric errors, we need to consider both random and systematic effects.”
Quote in the paperSubstantial claim - Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 27
The sample to i=25.3 will include several billion galaxies.
“The sample to i = 25.3 will include several billion galaxies.”
Quote in the paperSubstantial claim - Interpretationnone given§ 4. Examples of LSST Science Projects · p. 26
LSST's deep sky map will be produced by taking hundreds of shorter exposures.
“A major advantage of LSST is the fact that this deep sky map will be produced by taking hundreds of shorter exposures ( see Table 1 ) .”
Quote in the paperNot a substantial claim - Interpretationnone given§ 3.3. Data Products and Archive Services · p. 25
For extended source model fits, LSST will characterize and store the shape of the likelihood surface and posterior, not only maximum likelihood values and covariances.
“Second, for the extended source model fi ts, the LSST will characterize and store the shape of the associated likelihood surface ( and the posterior ) , and not just the maximum likelihood values and covariances.”
Quote in the paperNot a substantial claim - Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 27
The power and accuracy of LSST dark energy and dark matter probes come from enormous samples, including several billion galaxies and millions of SNe Ia.
“The power and accuracy of LSST dark energy and dark matter probes are a result of the enormous samples that LSST will have, including several billion galaxies and millions of SNe Ia.”
Quote in the paperSubstantial claim - Premisecitation§ 3.3.1. The LSST Science Platform · p. 26
The LSST Science Platform builds on recent trends in remote data analysis and experiences from JHU SciServer, Gaia GAVIP, and NOAO Datalab.
“It builds on recent trends in remote data analysis and practical experiences in the astronomical context gathered by projects such as the JHU SciServer ( Raddick et al. 2017 ) , Gaia GAVIP ( Vagg et al. 2016 ) , or NOAO Datalab ( Fitzpatrick et al. 2016 ) .”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisereasoning§ 4. Examples of LSST Science Projects · p. 26
The LSST design is driven by four science themes.
“organized by the four science themes that drive the LSST design”
Quote in the paperNot a substantial claim - Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 29
LSST photometric BAOs will achieve percent-level precision on angular diameter distance at about 10 redshifts logarithmically spaced between z=0.4 and 3.6.
“LSST photoz BAOs will achieve percent-level precision on the angular diameter distance at ∼ 10 redshifts logarithmically spaced between z = 0.4 and 3.6.”
Quote in the paperSubstantial claim - Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 28
Joint analysis of shear-shear, galaxy-shear, and galaxy-galaxy correlation functions has become standard in analyses of precursor data sets.
“The joint analysis of shear -shear, galaxy -shear, and galaxy -galaxy correlation functions has become standard in analyses of precursor data sets ( e.g., DES Collaboration et al. 2018; Joudaki et al. 2018 ) .”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 27
DES provides a compelling proof of concept for the LSST dark energy program.
“The DES ( see, e.g., DES Collaboration et al. 2018, and references therein ) provides a compelling proof of concept for this program.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites DES Collaboration et al. 2018 source
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- Premisereasoning§ 4.1. Probing Dark Energy and Dark Matter · p. 26
Quantifying the growth rate of structures from early times to the present provides additional tests of the universe's energy contents and their interactions.
“Thus, quantifying the rate of growth of structures from early times until the present provides additional tests of the energy contents of the universe and their interactions.”
Quote in the paperSubstantial claim - Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Similar large-scale power measurements will test phenomenological models of clustering dark energy.
“Similar measurements of the large-scale power will also be used to test phenomenological models of clustering dark energy ( Takada 2006 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Takada 2006 source
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- Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Galaxy cluster abundance as a function of mass and redshift is sensitive to cosmological parameters.
“The abundance of galaxy clusters as a function of mass and redshift is sensitive to cosmological parameters ( SciBook, Chap. 13; von der Linden et al. 2014 ) .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites SciBook, Chap. 13
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- cites von der Linden et al. 2014 source
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- Interpretationnone given§ 4.2. Taking an Inventory of the Solar System · p. 30
LSST will make a significant contribution to the congressional target completeness of 90% for PHAs larger than 140 m.
“LSST will make a signi fi cant contribution to the congressional target completeness of 90% for PHAs larger than 140 m ( Section 3.2.2 ) and will detect over 30,000 TNOs brighter than r ∼ 24.5 using its baseline cadence.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 4.1. Probing Dark Energy and Dark Matter · p. 29
High-redshift BAO data can break the degeneracy between curvature and dark energy, constraining Ωk to within 0.001.
“In particular, high-redshift BAO data can break the degeneracy between curvature and dark energy, constraining Ω k to within 0.001.”
Quote in the paperSubstantial claim - Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 30
The natural timescale of these time delays, many months to years, is well matched to the LSST survey.
“The natural timescale ( many months to years ) is well matched to the LSST survey ( Oguri & Marshall 2010 ) .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Oguri & Marshall 2010
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- Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Measurements of the galaxy power spectrum on very large scales are challenging because of sky systematics and cosmic variance.
“Although measurements of the galaxy power spectrum on very large scales are challenging owing to sky systematics ( Leistedt et al. 2014 ) and cosmic variance, the prospect of using multiple tracers of the same fi eld could signi fi cantly improve the constraining power for this observable ( Seljak 2009 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Leistedt et al. 2014 source
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- Interpretationnone given§ 4.2. Taking an Inventory of the Solar System · p. 30
LSST will detect over 30,000 TNOs brighter than r~24.5 using its baseline cadence.
“LSST will make a signi fi cant contribution to the congressional target completeness of 90% for PHAs larger than 140 m ( Section 3.2.2 ) and will detect over 30,000 TNOs brighter than r ∼ 24.5 using its baseline cadence.”
Quote in the paperSubstantial claim - Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 30
Time delays for quasars multiply lensed by clusters as a function of redshift are an independent test of dark energy.
“Time delays for quasars multiply lensed by clusters as a function of redshift are an independent test of dark energy ( Kundi ć et al. 1997 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kundić et al. 1997 source
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- Premisenone given§ 4.2. Taking an Inventory of the Solar System · p. 30
Small bodies of the solar system provide unique insight into its early stages because they sample original solid materials of the solar nebula.
“The small bodies of the solar system, such as main belt asteroids, the Trojan populations of the giant planets, and the KBOs, offer a unique insight into its early stages because they provide samples of the original solid materials of the solar nebula.”
Quote in the paperSubstantial claim - Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Cosmological analyses can be carried out using SN, WL, and LSS in subsets of LSST data in different sky regions, testing fundamental assumptions of homogeneity and isotropy.
“Cosmological analyses can be carried out using SN, WL, and LSS in subsets of the LSST data in different regions of the sky, testing fundamental cosmological assumptions of homogeneity and isotropy ( e.g., Zhan et al. 2009 ) .”
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- Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Image fluxes in several thousand well-measured strongly lensed quasars will enable constraints on the dark matter mass function on small scales.
“The image fl uxes in several thousand wellmeasured strongly lensed quasars will enable constraints of the dark matter mass function on small scales ( Dalal & Kochanek 2002 ) .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dalal & Kochanek 2002 source
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- Interpretationnone given§ 4.2. Taking an Inventory of the Solar System · p. 30
The LSST sample of asteroids with accurate orbits and multicolor light curves will be 10-100 times larger than the currently available sample.
“The LSST sample of asteroids with accurate orbits and multicolor light curves will be 10 -100 times larger than the currently available sample.”
Quote in the paperSubstantial claim - Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Using multiple tracers of the same field could significantly improve constraining power for primordial non-Gaussianity.
“Although measurements of the galaxy power spectrum on very large scales are challenging owing to sky systematics ( Leistedt et al. 2014 ) and cosmic variance, the prospect of using multiple tracers of the same fi eld could signi fi cantly improve the constraining power for this observable ( Seljak 2009 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Seljak 2009 source
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- Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Combining LSST BAO with CMB and weak lensing shear yields tight constraints on the dynamical behavior of dark energy.
“The combination with CMB and WL shear yields tight constraints on the dynamical behavior of dark energy ( Figure 24 ) .”
Quote in the paperSubstantial claim - Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
Weak lensing magnification tomography offers a complementary probe of cosmic geometry and growth of dark matter structure.
“Similarly, WL magni fi cation tomography ( Morrison et al. 2012 ) offers a complementary probe of a mix of cosmic geometry and growth of dark matter structure.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Morrison et al. 2012 source
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- Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 30
LSST will discover several hundred galaxy clusters that produce multiple-image lenses of background objects.
“LSST will discover several hundred galaxy clusters that produce multiple-image lenses of background objects.”
Quote in the paperSubstantial claim - Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 30
Assuming the gravitational wave network works well, Scolnic et al. (2018) estimate LSST could find of order 70 electromagnetic counterparts to standard sirens.
“Assuming that the gravitational wave network is working well, Scolnic et al. ( 2018 ) estimate that LSST could fi nd of order 70 electromagnetic counterparts to standard sirens.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scolnic et al. ( 2018 ) source
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- The authors state this as an assumption: The gravitational wave detector network will be operating well.
- Interpretationreasoning§ 4.1. Probing Dark Energy and Dark Matter · p. 29
The two LSST observing programs are complementary in the supernova samples they will provide.
“The two LSST observing programs are complementary in the SN samples they will provide.”
Quote in the paperNot a substantial claim - Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29
The shape of the dark matter fluctuation power spectrum measured by LSST weak lensing will constrain the sum of neutrino masses with accuracy of 0.04 eV or better.
“The shape of the power spectrum of dark matter fl uctuations measured by LSST WL will constrain the sum of neutrino masses with an accuracy of 0.04 eV or better ( Cooray 1999; Song & Knox 2004; Hannestad et al. 2006 ) .”
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- cites Song & Knox 2004
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- cites Hannestad et al. 2006 source
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- Interpretationcitation§ 4.2. Taking an Inventory of the Solar System · p. 31
Sedna would be detectable at 130 au.
“Sedna ( Brown et al. 2004 ) would be detectable at 130 au.”
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- Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 32
LSST is expected to discover 500 to 1000 multiply imaged Type Ia supernovae.
“500 -1000 multiply imaged SNe Ia ( Goldstein & Nugent 2017; Goldstein et al. 2018 )”
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- cites Goldstein et al. 2018 source
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- Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 33
LSST is expected to discover about 7 gravitational-wave associated sources per year.
“with an estimate of ∼ 7 discoveries per year ( Scolnic et al. 2018 )”
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- Interpretationreasoning§ 4.3. Exploring the Transient Optical Sky · p. 32
LSST's regular long-term color observations of a large Galactic source sample will permit identification of cataclysmic variables whose white dwarfs are highly magnetic.
“Regularcadence, long-term color observation on a large sample of galactic sources will enable the identi fi cation of CVs containing highly magnetic white dwarfs”
Quote in the paperSubstantial claim - Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 31
LSST data products will enable gravitational microlensing studies in the Milky Way, the Local Group, and beyond.
“Gravitational microlensing in the Milky Way ( see Han 2008 ) , as well as in the Local Group and beyond ( de Jong et al. 2008 ) .”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationcitation§ 4.2. Taking an Inventory of the Solar System · p. 30
LSST will increase the sample of active asteroids or main belt comets to about 100.
“Only a few such objects are currently known ( Jewitt et al. 2011; Jewitt 2012 ) ; LSST will increase the sample of such objects to ∼ 100.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 32
Time delays between multiple images of strongly lensed core-collapse supernovae can be used to observe the shock breakout phase of their light curves.
“Time delays between the multiple images of strongly lensed core-collapse SNe can be used to observe the elusive shock breakout phase of the light curve”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Suwa 2018 source
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- Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 32
LSST will enable detection and measurement of gamma-ray burst afterglows and transients to high redshift, about 7.5.
“Detection and measurement of gamma-ray burst afterglows and transients ( e.g., Zhang & Mészáros 2004; Zhang et al. 2006; Kann et al. 2010 ) to high redshift ( ∼ 7.5 )”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning§ 4.4. Mapping the Milky Way · p. 33
LSST's census of faint satellites and stellar streams in the halo will offer a unique way to constrain the particle nature of dark matter.
“the LSST census of faint satellites and stellar streams in the halo will offer a unique means to constrain the particle nature of dark matter.”
Quote in the paperSubstantial claim- Rests on an assumption: Different candidate supersymmetric particle dark matter models predict different mass clustering on small scales and different subhalo mass functions for the Milky Way.
- Interpretationnone given§ 4.3. Exploring the Transient Optical Sky · p. 31
Time-domain science will benefit from LSST's ability to simultaneously provide large-area coverage, dense temporal coverage, accurate colors, good image quality, and rapid data reduction and classification.
“Time domain science will greatly bene fi t from LSST ' s unique capability to simultaneously provide large-area coverage, dense temporal coverage, accurate color information, good image quality, and rapid data reduction and classi fi cation.”
Quote in the paperSubstantial claim - Interpretationnone given§ 4.4. Mapping the Milky Way · p. 35
LSST will deliver 10% or better distances for about 2500 stars with 18 < Mr < 19.
“LSST will deliver 10% or better distances for a sample of about 2500 stars with 18 < Mr < 19.”
Quote in the paperNot a substantial claim - Interpretationnone given§ 4.4. Mapping the Milky Way · p. 33
LSST will produce a massive and highly accurate photometric and astrometric data set for about 20 billion Milky Way stars.
“The LSST will produce a massive and exquisitely accurate photometric and astrometric data set for about 20 billion Milky Way stars.”
Quote in the paperSubstantial claim - Interpretationcitation§ 4.5.1. Synergy with Other Projects · p. 35
LSST and Gaia will be highly complementary data sets for studying the Milky Way in three-dimensional positions, proper motions, and metallicity.
“LSST and Gaia will be highly complementary data sets for studying the Milky Way in the multidimensional space of three-dimensional positions, proper motions, and metallicity”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ivezić et al. 2012 source
Not checked in the free run.
- Interpretationreasoning§ 4.4. Mapping the Milky Way · p. 34
LSST's depth will enable construction of luminosity and mass functions for nearby open clusters down to the hydrogen-burning limit and beyond.
“the depth of LSST will enable construction of luminosity and mass functions for nearby open clusters down to the hydrogenburning limit and beyond.”
Quote in the paperSubstantial claim - Interpretationnone given§ 4.5.1. Synergy with Other Projects · p. 36
LSST will aid studies of the electromagnetic signal accompanying gravitational-wave emission by providing an accurate sky position for the system.
“LSST will aid studies of the electromagnetic signal that accompanies the gravitational wave emission, thereby providing an accurate position on the sky for the system”
Quote in the paperNot a substantial claim - Interpretationnone given§ 7. Summary and Conclusions · p. 39
Each position over half the celestial sphere will be observed about a thousand times.
“About a thousand observations of each position across half of the celestial sphere will represent the greatest movie of all time.”
Quote in the paperSubstantial claim- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
- Interpretationcitation§ 4.5. Additional Science Projects · p. 35
Combining LSST, Euclid, and WFIRST data should allow discovery of at least tens of quasars at redshifts greater than 7.5.
“The combination of LSST, Euclid , and WFIRST data should allow discovery of at least tens of quasars at z > 7.5”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites R. Barnett 2017, private communication
Not checked in the free run.
- Not yet classified. 234
- May combine two claims. 38
- Classified as probably not a substantial claim. 29
Not yet classified.
Finding§ 2. From Science Drivers to Reference Design · p. 4LSST's effective étendue will exceed 300 m2 deg2, more than ten times larger than any existing facility.
“The effective étendue for LSST will be greater than 300 m 2 deg 2 , which is more than an order of magnitude larger than that of any existing facility.”
Quote in the paperNot yet classified- Rests on an assumption: The LSST system will achieve the specified design parameters (mirror, field of view, camera, filters) in operation.
Not yet classified.
Finding§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Simulations indicate that imaging about 20,000 deg2 to a 5σ point-source depth of r~27.5 provides enough signal to measure shapes for roughly 2 billion galaxies for WL.
“Detailed simulations of WL techniques show that imaging over ∼ 20,000 deg 2 to a 5 σ pointsource depth of r AB ∼ 27.5 gives adequate signal to measure shapes for of order 2 billion galaxies for WL.”
Quote in the paperNot yet classified- Rests on an assumption: The detailed WL simulations accurately represent future LSST performance.
Not yet classified.
Finding§ 3.2.1. Expected Photometric S / N · p. 22The constants Cm depend on the overall throughput of the instrument and are computed using current best throughput estimates for optical elements and sensors.
“The constants Cm depend on the overall throughput of the instrument and are computed using our current best throughput estimates for optical elements and sensors.”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24Systematic and random astrometric errors become similar at about r = 22, and there are about 100 stars per LSST sensor (0.05 deg2) to this depth even at the Galactic poles.
“Systematic and random errors become similar at about r = 22, and there are about 100 stars per LSST sensor ( 0.05 deg 2 ) to this depth ( and fainter than the LSST saturation limit at r ∼ 16 ) even at the Galactic poles.”
Quote in the paperNot yet classified- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Finding§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 21If these fields were selected at Galactic latitudes of |b| ~ 30°, they would include about 10 million stars with r < 21 observed with S/N above 100 in each visit.
“If these fi elds were selected at Galactic latitudes of b 30 ~ ∣ ∣ ° , they would include about 10 million stars with r < 21 observed with S / N above 100 in each visit.”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20Each 15 s exposure in a sequence would have an equivalent 5σ depth of r ~ 24, and each filter subsequence when co-added would be 2 mag deeper than main survey visits (r ~ 26.5).
“Each 15 s exposure in a sequence would have an equivalent 5 σ depth of r ∼ 24, and each fi lter subsequence when co-added would be 2 mag deeper than the main survey visits ( r ∼ 26.5 ) .”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ LSST Baseline · p. 23The effect of finite readout noise is only substantial in the u band, as demonstrated by Cm(τ=2) values in Table 2.
“Again, this effect is only substantial in the u band, as demonstrated by the values of C 2 m t D = ( ) listed in Table 2.”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24Blue stars fainter than r ~ 23 will have about 50% larger proper-motion and parallax errors than given in Table 3, due to decreased numbers of z- and y-band detections.
“Blue stars ( e.g., F / G stars ) fainter than r ∼ 23 will have about 50% larger proper-motion and parallax errors than given in the table, due to decreased numbers of z - and y -band detections.”
Quote in the paperNot yet classified- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Finding§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The anticipated total number of visits for a 10 yr LSST survey is about 2.45 million (~4.9 million 15 s exposures summing over six filters).
“The anticipated total number of visits for a 10 yr LSST survey is about 2.45 million ( ∼ 4.9 million 15 s long exposures, summing over the six fi lters ) .”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ Notes. · p. 24Considering this extended LSST in the context of existing/ongoing surveys would result in a system-wide cumulative completeness of 86% for PHAs (77% for NEOs), approaching the 90% required by the congressional mandate.
“Considering this ' extended ' LSST in the context of existing / ongoing surveys would result in a system-wide cumulative completeness of 86% for PHAs ( 77% for NEOs ) , approaching the 90% required by the congressional mandate ( see bottom panels of Figure 20 ) .”
Quote in the paperNot yet classified- The authors state this as an assumption: All potentially hazardous asteroids are assumed to be C-type asteroids.
Not yet classified.
Finding§ Notes. · p. 24By improving MOPS and increasing the MOPS linking window from 15 to 30 days, completeness can be boosted by about 3%.
“By improving MOPS and increasing the MOPS linking window from 15 to 30 days, we can boost completeness by about 3%.”
Quote in the paperNot yet classified- The authors state this as an assumption: All potentially hazardous asteroids are assumed to be C-type asteroids.
Not yet classified.
Finding§ 3.2.1. Expected Photometric S / N · p. 22In all six bands, the implied single-visit depths m5 lie between the minimum and design specification values from the SRD listed in Table 1.
“In all six bands they imply single-visit depths m 5 ( also listed in Table 2 ) that lie between the minimum and design speci fi cation values from the SRD listed in Table 1.”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20Taking weather into account, selected fields would each have on average about 40 hr long sequences of 200 exposures each.
“Taking weather into account, the selected fi elds would each have on average about 40 hr long sequences of 200 exposures each.”
Quote in the paperNot yet classifiedMay combine two claims.
Findingreasoning§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24The impact on red stars is smaller, but extremely red objects such as L and T dwarfs will have larger errors, depending on their SEDs.
“The impact on red stars is smaller, due to a relatively small number of observations in the u and g bands, but extremely red objects, such as L and T dwarfs, will de fi nitely have larger errors, depending on details of their SEDs.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Finding§ Notes. · p. 24Realistic MOPS simulations show >99% linking efficiency across all classes of solar system objects and at least 93% efficiency for NEOs.
“Realistic MOPS simulations show > 99% linking ef fi ciency across all classes of solar system objects ( Denneau et al. 2013 ) , and at least 93% ef fi ciency for NEOs ( Vere š & Chesley 2017a, 2017b ) .”
Quote in the paperNot yet classified0 of 2 sources checked- cites Denneau et al. 2013 source
Not checked in the free run.
- cites Vereš & Chesley 2017a, 2017b
Not checked in the free run.
Not yet classified.
Finding§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24After the first 3 yr of the survey, proper-motion errors will be about five times as large, and parallax errors about twice as large, as the values in Table 3; errors scale as t^-3/2 and t^-1/2, respectively.
“After the fi rst 3 yr of the survey, the proper-motion errors will be about fi ve times as large, and parallax errors will be about twice as large, as the values given in Table 3; the errors scale as t -3 / 2 and t -1 / 2 , respectively.”
Quote in the paperNot yet classified- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Finding§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20When all 40 sequences and main survey visits are co-added, they would extend the depth to r ~ 28.
“When all 40 sequences and the main survey visits are co-added, they would extend the depth to r ∼ 28.”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ Notes. · p. 24These completeness figures are likely uncertain at the level of ±5%, due to uncertainties in orbital distribution, size distribution, shape distributions, surface properties, and weather variations.
“These fi gures are likely to be uncertain at the level of ± 5%, due to uncertainties in the orbital distribution of the true population, the size distribution, uncertain distributions of shape ( and thus light-curve variations ) , and surface properties ( thus colors and albedo ) , plus variations in survey cadence due to weather, etc.”
Quote in the paperNot yet classified- The authors state this as an assumption: All potentially hazardous asteroids are assumed to be C-type asteroids.
Not yet classified.
Finding§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20A mini-survey using 1 hr per night on a single pointing could obtain about 50 consecutive 15 s exposures in each of four filters in an hour.
“Accounting for readout time and fi lter changes, it could obtain about 50 consecutive 15 s exposures in each of four fi lters in an hour.”
Quote in the paperNot yet classifiedNot yet classified.
Finding§ Notes. · p. 24This cadence spends 6% of total observing time on NEO-optimized observations north of δ = +5°, and MOPS links objects with windows of 15 days.
“This cadence spends 6% of the total observing time on NEO-optimized observations north of δ = + 5 ° , and MOPS links objects with windows of 15 days.”
Quote in the paperNot yet classified- The authors state this as an assumption: All potentially hazardous asteroids are assumed to be C-type asteroids.
Not yet classified.
Finding§ Notes. · p. 24For the nominal exposure time of 30 s and θ = 0.7, the loss of limiting magnitude is 0.04 mag for v = 0.25° day-1 (typical main asteroid belt) and 0.46 mag for v = 1.0° day-1 (typical PHAs passing near Earth).
“For the nominal exposure time of 30 s and θ = 0 7, the loss of limiting magnitude is 0.04 mag for v = 0 ° . 25 day -1 , typical for objects in the main asteroid belt, and 0.46 mag for v = 1 ° . 0 day -1 , typical of PHAs passing near Earth.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone given§ 5. Community Involvement · p. 36The overwhelming majority of the almost 8000 refereed papers based on SDSS data to date were written by scientists outside the project.
“The overwhelming majority of the almost 8000 refereed papers based on SDSS data to date have been written by scientists from outside the project”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone given§ 7. Summary and Conclusions · p. 39By 2017, 34 institutions from 23 countries had signed Memoranda of Agreement to contribute substantially to LSST operating costs in return for participation in the science collaborations and access to data.
“As of 2017, 34 institutions from 23 countries have signed Memoranda of Agreement to contribute signi fi cantly to the LSST operating costs, in exchange for participation in the science collaborations and data access.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingreasoning§ 5. Community Involvement · p. 37The LSST science collaborations have helped develop the science case and continue to advise on optimizing science.
“The LSST science collaborations in particular have helped develop the LSST science case and continue to provide advice on how to optimize their science”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone given§ 5. Community Involvement · p. 37There are over 800 participants in the LSST science collaborations.
“there are over 800 participants in these collaborations.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ Abstract · p. 3The LSST project is in construction and is projected to start regular survey operations in 2022.
“The project is in the construction phase and will begin regular survey operations by 2022.”
- Also stated in: § 1. Introduction · p. 3
“the 10 yr sky survey is projected to begin in 2022.”
Quote in the paperNot yet classified- Rests on an assumption: The LSST construction will be completed and the survey will operate for the planned 10 years.
- Also stated in: § 1. Introduction · p. 3
Not yet classified.
Interpretation§ Abstract · p. 3The LSST project's design is organized around four primary science goals: dark energy and dark matter, solar system inventory, transient optical sky, and Milky Way mapping.
“The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Science Working Group of the LSST & Strauss 2004
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Not yet classified.
Interpretation§ Abstract · p. 3LSST will be a large, wide-field, ground-based telescope located on Cerro Pachón in northern Chile, designed to repeatedly image a large portion of the sky.
“LSST will be a large, wide- fi eld ground-based system designed to obtain repeated images covering the sky visible from Cerro Pachón in northern Chile.”
- Also stated in: § 1. Introduction · p. 3
“Located on Cerro Pachón in northern Chile, the LSST will be a large, widefi eld, ground-based telescope designed to obtain multiband images over a substantial fraction of the sky every few nights.”
Quote in the paperNot yet classified- Also stated in: § 1. Introduction · p. 3
Not yet classified.
Interpretation§ Abstract · p. 3The LSST telescope will have an 8.4 m primary mirror (6.5 m effective), a 9.6 deg2 field of view, a 3.2-gigapixel camera, and six filters ugrizy spanning 320-1050 nm.
“The telescope will have an 8.4 m ( 6.5 m effective ) primary mirror, a 9.6 deg 2 fi eld of view, a 3.2-gigapixel camera, and six fi lters ( ugrizy ) covering the wavelength range 320 -1050 nm.”
Quote in the paperNot yet classified- Rests on an assumption: The LSST system will achieve the specified design parameters (mirror, field of view, camera, filters) in operation.
Not yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 4Testing competing dark energy models or modified gravity requires percent-level measurements of cosmic expansion and dark matter structure growth versus redshift.
“Distinguishing competing models for the physical nature of dark energy, or alternative explanations involving modi fi cations of the general theory of relativity, will require percent-level measurements of both the cosmic expansion and the growth of dark matter structure as a function of redshift.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ Abstract · p. 3The main survey will produce a co-added map reaching r ~ 27.5.
“and will yield a co-added map to r ∼ 27.5.”
Quote in the paperNot yet classified- Rests on an assumption: The LSST system will achieve the specified design parameters (mirror, field of view, camera, filters) in operation.
Not yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7Photometric repeatability should achieve 5 mmag precision at the bright end, with zero-point stability across the sky of 10 mmag and band-to-band calibration errors not larger than 5 mmag.
“Photometric repeatability should achieve 5 mmag precision at the bright end, with zero-point stability across the sky of 10 mmag and band-to-band calibration errors not larger than 5 mmag.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Type Ia supernovae provided the first strong evidence that cosmic expansion is accelerating.
“SNe Ia provided the fi rst robust evidence that the expansion of the universe is accelerating”
Quote in the paperNot yet classified0 of 2 sources checkedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Even a single supernova provides redshift-distance information, unlike other cosmological probes.
“Unlike other cosmological probes, even a single object gives information on the relationship between redshift and distance.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5A large sample of supernovae across the sky enables a search for directional dependence of dark energy properties, which would signal new physics.
“Thus, a large number of SNe across the sky allows one to search for any dependence of dark energy properties on direction, which would be an indicator of new physics.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ Abstract · p. 3The paper shows how LSST science drivers determined the system design parameters.
“We illustrate how the LSST science drivers led to these choices of system parameters”
- Also stated in: § 1. Introduction · p. 4
“The purpose of this paper is to provide an overall summary of the main LSST science drivers and how they led to the current system design parameters”
Quote in the paperNot yet classified- Also stated in: § 1. Introduction · p. 4
Not yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Weak lensing maps mass distribution versus redshift and traces cosmic expansion and structure growth.
“WL techniques can be used to map the distribution of mass as a function of redshift and thereby trace the history of both the expansion of the universe and the growth of structure”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 4Current cosmological models need both dark matter and dark energy to fit observational constraints.
“Current models of cosmology require the existence of both dark matter and dark energy to match observational constraints”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5SN anisotropy results can be compared with anisotropy measures from combined WL and LSS.
“The results from this method can be compared with similar measures of anisotropy from the combination of WL and LSS ( Zhan et al. 2009 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Zhan et al. 2009 source
Not checked in the free run.
Not yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Given the expected SN flux distribution at dark-energy-relevant redshifts, single-visit depth should be at least r~24.
“Given the expected SN fl ux distribution at the redshifts where dark energy is important, the single-visit depth should be at least r ∼ 24.”
Quote in the paperNot yet classified- Rests on an assumption: The expected supernova flux distribution at dark-energy-relevant redshifts is known.
Not yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7Image quality should maintain the limit set by the atmosphere, with median free-air seeing of 0.65 in the r band at the chosen site, and should not be degraded appreciably by the hardware.
“Image quality should maintain the limit set by the atmosphere ( the median free-air seeing is 0 65 in the r band at the chosen site; see Figure 1 ) and not be degraded appreciably by the hardware.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.3. System Design Trade-offs · p. 10The Pan-STARRS project, which has similar science goals to LSST, envisions a distributed aperture design where total system étendue is the sum of étendue values for an array of small 1.8 m telescopes.
“We note that the Pan-STARRS project ( Kaiser et al. 2002, 2010 ) , with similar science goals to LSST, envisions a distributed aperture design, where the total system étendue is a sum of étendue values for an array of small 1.8 m telescopes.”
Quote in the paperNot yet classified0 of 2 sources checkedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 4Turning precision into accuracy requires modeling and marginalizing over systematic effects.
“The challenge is to turn this available precision into accuracy, by careful modeling and marginalization over a variety of systematic effects”
Quote in the paperNot yet classified0 of 1 sources checked- cites Krause & Eifler 2017
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Not yet classified.
Premise§ 2.1.4. Mapping the Milky Way · p. 6The Milky Way and its environment provide a unique data set for understanding the detailed processes that shape galaxy formation and for testing the small-scale predictions of the standard cosmological model.
“The Milky Way and its environment provide a unique data set for understanding the detailed processes that shape galaxy formation and for testing the smallscale predictions of our standard cosmological model.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.3. Exploring the Transient Optical Sky · p. 6Recent surveys have shown the power of measuring variability of celestial sources for studying gravitational lensing, supernovae, gamma-ray bursts, gravitational wave counterparts, active galactic nuclei, variable stars, exoplanets, and other forefront astrophysics.
“Recent surveys have shown the power of measuring variability of celestial sources for studying gravitational lensing, searching for SNe, determining the physical properties of gamma-ray burst sources, discovering gravitational wave counterparts, probing the structure of active galactic nuclei ( AGNs ) , studying variable star populations, discovering exoplanets, and many other subjects at the fore”
Quote in the paperNot yet classified0 of 3 sources checked- cites SciBook, Chap. 8
Not checked in the free run.
- cites Law et al. 2009 source
Not checked in the free run.
- cites Djorgovski et al. 2012
Not checked in the free run.
Not yet classified.
Interpretation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5This depth and surface brightness limit maximize the number of galaxies with measured shapes in ground-based seeing and allow detection beyond redshift two.
“This depth, as well as the corresponding deep surface brightness limit, optimizes the number of galaxies with measured shapes in ground-based seeing and allows their detection in signi fi cant numbers to beyond a redshift of two.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Exploiting SN science fully requires light curves sampled in multiple bands every few days over several months.
“To fully exploit the SN science potential, light curves sampled in multiple bands every few days over the course of a few months are required.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Cross-correlating the 3D mass distribution traced by neutral hydrogen or galaxies with LSST tomographic shear will complement other dark energy constraints and test gravity.
“The cross-correlation of the three-dimensional mass distribution -as probed by neutral hydrogen in CHIME ( Newburgh et al. 2014 ) , HIRAX ( Newburgh et al. 2016 ) , or SKA, or galaxies in DESI and PFS -with the gravitational growth probed by tomographic shear in LSST will be a complementary way to constrain dark energy properties beyond simply characterizing its equation of state and to test the”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5K-corrections require calibration of relative photometric zero-point offsets between filters and system response functions, especially near band edges, to about 1%.
“Carrying out these K -corrections requires that the calibration of the relative offsets in photometric zero-points between fi lters and the system response functions, especially near the edges of bandpasses, be accurate to about 1% ( Wood-Vasey et al. 2007 )”
Quote in the paperNot yet classified0 of 1 sources checked- cites Wood-Vasey et al. 2007 source
Not checked in the free run.
Not yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Large survey volumes are essential for probing dynamical dark energy models with subhorizon clustering or anisotropic stresses.
“Large survey volumes are key to probing dynamical dark energy models ( with subhorizon dark energy clustering or anisotropic stresses ) .”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 4The most robust cosmological constraints come from combining multiple probes.
“Therefore, the most robust cosmological constraints are the result of using interlocking combinations of probes.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Controlling shear systematic errors requires achieving the desired depth with many short exposures.
“In order to control systematic errors in shear measurement, the desired depth must be achieved with many short exposures”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Deeper data (r>26) over small areas can extend SN discovery to mean redshift 0.7, compared with ~0.5 for the main survey, with some beyond z~1.
“Deeper data ( r > 26 ) for small areas of the sky can extend the discovery of SNe to a mean redshift of 0.7 ( from ∼ 0.5 for the main survey ) , with some objects beyond z ∼ 1 ( Garnavich et al. 2004; Pinto et al. 2004; SciBook, Chap. 11 ) .”
Quote in the paperNot yet classified0 of 3 sources checked- cites Garnavich et al. 2004
Not checked in the free run.
- cites Pinto et al. 2004
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- cites SciBook, Chap. 11
Not checked in the free run.
Not yet classified.
Interpretation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Rather than co-adding all images, individual exposures with their own PSF and noise should be analyzed simultaneously to measure galaxy shapes optimally.
“rather than simply co-adding all images in a given region of sky, the individual exposures, each with their own PSF and noise characteristics, should be analyzed simultaneously to optimally measure the shapes of galaxies”
Quote in the paperNot yet classified0 of 2 sources checked- cites Tyson et al. 2008
Not checked in the free run.
- cites Jee & Tyson 2011
Not checked in the free run.
Not yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7The single-visit depth should reach r ~ 24.5.
“The single-visit depth should reach r ∼ 24.5.”
- Also stated in: § 2.1.2. Taking an Inventory of the Solar System · p. 6
“The images should reach a depth of at least 24.5 ( 5 σ for point sources ) in the r band to reach high completeness down to the 140 m mandate for NEOs.”
- Also stated in: § 2.2.1. The Aperture Size · p. 9
“the depth of a single visit, r ∼ 24.5”
Quote in the paperNot yet classified- Also stated in: § 2.1.2. Taking an Inventory of the Solar System · p. 6
Not yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Weak lensing, large-scale structure, and supernova probes each place unique and independent constraints on LSST system design.
“Three of the primary dark energy probes, WL, LSS, and SN, provide unique and independent constraints on the LSST system design ( SciBook, Chaps. 11 -15 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites SciBook, Chaps. 11-15
Not checked in the free run.
Not yet classified.
Interpretation§ Abstract · p. 3The main survey will cover an 18,000 deg2 area about 800 times summed over all six bands over the anticipated 10 years.
“that will uniformly observe a 18,000 deg 2 region about 800 times ( summed over all six bands ) during the anticipated 10 yr of operations”
Quote in the paperNot yet classified- Rests on an assumption: The LSST construction will be completed and the survey will operate for the planned 10 years.
- Rests on an assumption: The observing time allocation and survey cadence described will be implemented as planned.
Not yet classified.
Interpretation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Analyzing these data will require sophisticated data processing techniques.
“Analyzing these data will require sophisticated data processing techniques.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.4. Mapping the Milky Way · p. 6A major challenge in extragalactic cosmology today concerns the formation of structure on subgalactic scales, where baryon physics becomes important and the nature of dark matter may manifest in observable ways.
“A major challenge in extragalactic cosmology today concerns the formation of structure on subgalactic scales, where baryon physics becomes important, and the nature of dark matter may manifest itself in observable ways ( e.g., Weinberg et al. 2015 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Weinberg et al. 2015 source
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Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5This sampling is needed to search for systematic differences among SN populations and to derive photometric redshifts from the SNe themselves.
“This is essential to search for systematic differences in SN populations ( e.g., due to differing progenitor channels ) , which may masquerade as cosmological effects, as well as to determine photometric redshifts from the SNe themselves.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5The WL program imposes the strongest constraints on LSST image quality.
“The strongest constraints on the LSST image quality arise from this science program.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5At least five photometric bands are needed to measure proper K-corrected light curves over a range of redshifts.
“Observations in at least fi ve photometric bands will allow proper K -corrected light curves to be measured over a range of redshift.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Cosmic shear measurements versus redshift determine angular distances versus cosmic time and give independent dark energy constraints.
“Measurements of cosmic shear as a function of redshift allow determination of angular distances versus cosmic time, providing multiple independent constraints on the nature of dark energy.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ Abstract · p. 3Roughly 90% of LSST observing time will be used for a deep-wide-fast main survey.
“About 90% of the observing time will be devoted to a deep-wide-fast survey mode”
- Also stated in: § 2. From Science Drivers to Reference Design · p. 4
“About 90% of the observing time will be devoted to a deep-wide-fast ( main ) survey mode.”
Quote in the paperNot yet classified- Rests on an assumption: The observing time allocation and survey cadence described will be implemented as planned.
- Also stated in: § 2. From Science Drivers to Reference Design · p. 4
Not yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Good image quality is needed to separate supernovae photometrically from host galaxies.
“Good image quality is required to separate SN photometrically from their host galaxies.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 5Weak lensing investigations require deep wide-area multicolor imaging with tight shear systematics in at least two bands and excellent photometry in at least five bands for photometric redshifts.
“These investigations require deep wide-area multicolor imaging with stringent requirements on shear systematics in at least two bands, and excellent photometry in at least fi ve bands to measure photometric redshifts”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ Abstract · p. 3The remaining 10% of observing time will go to special projects such as Very Deep and Very Fast time-domain surveys, with details still under discussion.
“The remaining 10% of the observing time will be allocated to special projects such as Very Deep and Very Fast time domain surveys, whose details are currently under discussion.”
Quote in the paperNot yet classified- Rests on an assumption: The observing time allocation and survey cadence described will be implemented as planned.
Not yet classified.
Premise§ 2.1.1. Probing Dark Energy and Dark Matter · p. 4The most powerful cosmological probes include weak lensing, galaxy clustering and BAO, cluster mass function and clustering, lensed quasar and SN time delays, and Type Ia SN photometry, all as functions of redshift.
“The most powerful probes include weak gravitational lens cosmic shear ( weak lensing ( WL )) , galaxy clustering and baryon acoustic oscillations ( large-scale structure, LSS ) , the mass function and clustering of clusters of galaxies, time delays in lensed quasar and supernova ( SN ) systems, and photometry of Type Ia SNe -all as functions of redshift.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.4. The Filter Complement · p. 10The LSST filter complement (ugrizy) is modeled after the SDSS system because of its demonstrated success in photometric redshifts of galaxies, separation of stellar populations, and photometric selection of quasars.
“The LSST fi lter complement ( ugrizy ; see Figure 4 ) is modeled after the SDSS system ( Fukugita et al. 1996 ) because of its demonstrated success in a wide variety of applications, including photometric redshifts of galaxies ( Budavári et al. 2003 ) , separation of stellar populations ( Lenz et al. 1998; Helmi et al. 2003 ) , and photometric selection of quasars ( Richards et al. 2002; Ross et”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20In times of good seeing and low air mass, preference is given to r- and i-band observations.
“In times of good seeing and at low air mass, preference is given to r - and i -band observations.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7The single-visit exposure time should be less than about a minute and longer than approximately 20 seconds.
“The single-visit exposure time should be less than about a minute to prevent trailing of fast-moving objects and to aid control of various systematic effects induced by the atmosphere. It should be longer than ∼ 20 s to avoid signi fi cant ef fi ciency losses due to fi nite readout, slew time, and read noise.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7The total number of visits of any given area of sky, when accounting for all filters, should be of the order of 1000.
“The total number of visits of any given area of sky, when accounting for all fi lters, should be of the order of 1000, as mandated by WL science, the search for NEOs, and proper-motion and trigonometric parallax measurements.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 8The distribution of visits per filter should enable accurate photometric redshifts, separation of stellar populations, and sufficient depth to detect faint extremely red sources such as brown dwarfs and high-redshift quasars.
“The distribution of visits per filter should enable accurate photometric redshifts, separation of stellar populations, and suf fi cient depth to enable detection of faint extremely red sources ( e.g., brown dwarfs and high-redshift quasars ) .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1. The Baseline LSST Surveys · p. 20The remaining 10% of observing time will be used for improved coverage of parameter space such as very deep observations, short revisit times, and special regions.
“The remaining 10% of the observing time will be used to obtain improved coverage of parameter space such as very deep ( r ∼ 26 ) observations, observations with very short revisit times ( ∼ 1 minute ) , and observations of ' special ' regions such as the ecliptic plane, Galactic plane, and the Large and Small Magellanic Clouds.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.2.2. The Optimal Exposure Time · p. 9Surveying efficiency considerations place a lower limit on the visit exposure time of greater than 20 seconds.
“To maintain ef fi ciency losses below ∼ 30% ( i.e., at least below the limit set by the weather patterns ) , and to minimize the read noise impact, t vis > 20 s is required.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.2.2. The Optimal Exposure Time · p. 9The reference design has a primary mirror effective diameter of approximately 6.5 m, corresponding to a geometrical diameter of approximately 8 m, adopted as 8.4 m.
“A primary mirror effective diameter of ∼ 6.5 m. With the adopted optical design, described below, this effective diameter corresponds to a geometrical diameter of ∼ 8 m. Motivated by characteristics of the existing equipment at the Steward Mirror Laboratory, which fabricated the primary mirror, the adopted geometrical diameter is set to 8.4 m.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20Additional coverage of a crescent within 10 degrees of the northern ecliptic plane would sample the full azimuthal distribution of KBOs, crucial for understanding dynamical families.
“Additional coverage of a crescent within 10 degrees of the northern ecliptic plane would sample the full azimuthal distribution of KBOs, crucial for understanding the different dynamical families in which they fall.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The ranking criteria ensure visits to each field are widely distributed in position angle and camera rotation to minimize systematic effects in galaxy shape determination.
“The ranking criteria also ensure that the visits to each fi eld are widely distributed in position angle on the sky and rotation angle of the camera in order to minimize systematic effects in galaxy shape determination.”
Quote in the paperNot yet classifiedNot yet classified.
Study design and conduct§ 2.5. The Calibration Methods · p. 11The LSST system will explicitly measure the atmospheric transmission spectrum associated with each image it acquires.
“In addition, the LSST system will explicitly measure the atmospheric transmission spectrum associated with each image acquired.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.5. The Calibration Methods · p. 11Photometric and astrometric accuracy will be limited not by instrumentation or software, but rather by atmospheric effects.
“Extensive precursor data including the SDSS data set and our own data obtained using telescopes close to the LSST site of Cerro Pachón ( e.g., the SOAR and Gemini South telescopes ) , as well as telescopes of similar aperture ( e.g., Subaru ) , indicate that the photometric and astrometric accuracy will be limited not by our instrumentation or software, but rather by atmospheric effects.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.4. Mapping the Milky Way · p. 7In order to measure the tangential velocity of stars at a distance of 10 kpc, where the halo dominates over the disk, to within 10 km/s, the proper-motion accuracy should be 0.2 mas/yr or better.
“In order to measure the tangential velocity of stars at a distance of 10 kpc, where the halo dominates over the disk, to within 10 km s -1 ( comparable to the accuracy of large-scale radial velocity surveys ) , the proper-motion accuracy should be 0.2 mas yr -1 or better.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.2.1. The Aperture Size · p. 9The sky area for the main survey is maximized to its practical limit of 18,000 square degrees, determined by the requirement to avoid air masses less than 1.5.
“For this reason, the sky area for the main survey is maximized to its practical limit, 18,000 deg 2 , determined by the requirement to avoid air masses less than 1.5, which would substantially deteriorate the image quality and the survey depth ( see Equation ( 6 )) .”
Quote in the paperNot yet classifiedNot yet classified.
Study design and conduct§ 2.5. The Calibration Methods · p. 11LSST's photometric calibration approach is to measure the instrumental sensitivity as a function of wavelength at 1 nm resolution using monochromatic light injected into the telescope pupil.
“The overall photometric calibration philosophy ( Stubbs & Tonry 2006 ) is to measure explicitly, at 1 nm resolution, the instrumental sensitivity as a function of wavelength using light from a monochromatic source injected into the telescope pupil.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Stubbs & Tonry 2006
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Study design and conduct§ 2.6.3. Data Management · p. 14The LSST Data Management system will automatically reduce the data collected by LSST into scientifically useful catalogs and images.
“The data collected by the LSST system will be automatically reduced to scienti fi cally useful catalogs and images by the LSST Data Management ( DM; Juri ć et al. 2017a ) system.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Jurić et al. 2017a
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Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 8Data processing, data products, and data access should result in products that approach the statistical uncertainties in the raw data, and processing latency for variable sources should be less than a minute.
“Data processing, data products, and data access should result in data products that approach the statistical uncertainties in the raw data, i.e., the processing must be close to optimal. To enable fast and ef fi cient response to transient sources, the processing latency for variable sources should be less than a minute, with a robust and accurate preliminary characterization of all reported vari”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.4. The Filter Complement · p. 10The chosen filter complement corresponds to a design 'sweet spot'.
“The chosen fi lter complement corresponds to a design ' sweet spot. '”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.2.2. The Optimal Exposure Time · p. 10The reference design has a visit exposure time of 30 seconds, using two 15-second exposures, yielding an efficiency of 77%.
“A visit exposure time of 30 s ( using two 15 s exposures to ef fi ciently reject cosmic rays; the possibility of a single exposure per visit, to improve observing ef fi ciency, will be investigated during the commissioning phase ) , yielding ò = 77%.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The universal cadence will be extended to the northern ecliptic crescent using r and i filters only, with relaxed air mass and seeing limits.
“Thus, we plan to extend the universal cadence to this region using the r and i fi lters only, along with more relaxed limits on air mass and seeing.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1. The Baseline LSST Surveys · p. 19The universal cadence yields the main deep-wide-fast survey and meets the core science goals.
“We present here a speci fi c realization, the so-called ' universal cadence, ' which yields the main deep-wide-fast survey and meets our core science goals.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.2. Taking an Inventory of the Solar System · p. 6Such an instrument would probe the approximately 100 m size range at main belt distances and discover rare distant trans-Neptunian objects such as Sedna and 2012 VP113.
“Such an instrument would probe the ∼ 100 m size range at main belt distances and discover rare distant TNOs such as Sedna ( Brown et al. 2004 ) and 2012 VP113 ( Trujillo & Sheppard 2014 ) .”
Quote in the paperNot yet classified0 of 2 sources checkedNot yet classified.
Interpretation§ 2.3. System Design Trade-offs · p. 10A system with a smaller étendue would require separate specialized surveys to address the science goals, resulting in a loss of surveying efficiency.
“A system with a smaller étendue would require separate specialized surveys to address the science goals, which results in a loss of surveying ef fi ciency.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20Each field will be observed twice as often as possible, with visits separated by 15-60 minutes.
“As often as possible, each fi eld will be observed twice, with visits separated by 15 -60 minutes.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.4. The Filter Complement · p. 10Placing the red edge of the u band blueward of the Balmer break allows optimal separation of stars and quasars, and the telluric water absorption feature at 9500 Angstroms effectively defines the blue edge of the y band.
“Placing the red edge of the u band blueward of the Balmer break allows optimal separation of stars and quasars, and the telluric water absorption feature at 9500 Å effectively de fi nes the blue edge of the y band.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.4. Mapping the Milky Way · p. 7Mapping the Galaxy requires large-area coverage, excellent image quality to maximize photometric and astrometric accuracy, photometric precision of at least 1%, and systematic astrometric errors not exceeding about 10 mas per observation.
“Mapping the Galaxy requires large-area coverage; excellent image quality to maximize photometric and astrometric accuracy, especially in crowded fi elds; photometric precision of at least 1% to separate main-sequence and giant stars ( e.g., Helmi et al. 2003 ) , as well as to identify variable stars such as RR Lyrae ( Sesar et al. 2010; Sharma et al. 2011 ) ; and systematic astrometric errors not”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Interpretation§ 2.2.1. The Aperture Size · p. 8The adopted survey lifetime of 10 years is a compromise between a shorter time, which would require an excessively large and expensive mirror, and a smaller telescope, which would require more time to complete the survey with increased operations cost.
“The adopted survey lifetime of 10 yr is a compromise between a shorter time, which leads to an excessively large and expensive mirror ( 15 m for a 3 yr survey and 12 m for a 5 yr survey ) and not as effective proper-motion measurements, and a smaller telescope, which would require more time to complete the survey, with the associated increase in operations cost.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20This strategy will provide motion vectors to link detections of moving objects and fine-time sampling for short-period variability.
“This strategy will provide motion vectors to link detections of moving objects in the solar system and fi ne-time sampling for measuring short-period variability.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.4. The Filter Complement · p. 10The extension of the SDSS system to longer wavelengths, with the y band at approximately 1 micron, is driven by the increased effective redshift range achievable with LSST, the desire to study substellar objects, high-redshift quasars, and regions of the Galaxy obscured by interstellar dust, and the scientific opportunity enabled by modern CCDs with high near-infrared quantum efficiency.
“The extension of the SDSS system to longer wavelengths ( the y band at ∼ 1 μ m ) is driven by the increased effective redshift range achievable with the LSST, due to deeper imaging; the desire to study substellar objects, high-redshift quasars, and regions of the Galaxy that are obscured by interstellar dust; and the scienti fi c opportunity enabled by modern CCDs with high quantum ef fi ciency in”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ Notes. · p. 8About 90% of the observing time will be devoted to a deep-wide-fast survey mode, with the remaining 10% allocated to special programs that will also address multiple science goals.
“The vast majority ( about 90% ) of the observing time will be devoted to a deepwide-fast survey mode of the sort we have just described, with the remaining 10% allocated to special programs that will also address multiple science goals.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 8Any one of the four main science drivers could be removed, and the remaining three would still yield very similar requirements for most system parameters.
“Indeed, any one of the four main science drivers could be removed, and the remaining three would still yield very similar requirements for most system parameters.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7The co-added survey depth should reach r ~ 27.5, with sufficient signal-to-noise ratio in other bands to address both extragalactic and Galactic science drivers.
“The co-added survey depth should reach r ∼ 27.5, with suf fi cient signal-to-noise ratio ( S / N ) in other bands to address both extragalactic and Galactic science drivers.”
Quote in the paperNot yet classifiedNot yet classified.
Study design and conduct§ 2.5. The Calibration Methods · p. 13Astrometric calibration will be based on Gaia mission results, which will provide numerous high-accuracy astrometric standards in every LSST field.
“Astrometric calibration will be based on the results from the Gaia mission ( Lindegren et al. 2018 ) , which will provide numerous high-accuracy astrometric standards in every LSST fi eld.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Lindegren et al. 2018 source
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Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 8None of the individual science programs are severely overdesigned; despite their scientific diversity, the programs are highly compatible in terms of desired data characteristics.
“Remarkably, even with these joint requirements, none of the individual science programs are severely overdesigned, i.e., despite their signi fi cant scienti fi c diversity, these programs are highly compatible in terms of desired data characteristics.”
Quote in the paperNot yet classifiedClassified as probably not a substantial claim.
Interpretationreasoning§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7The filter complement should include at least six filters in the wavelength range 320-1050 nm, with roughly rectangular filters and no large gaps in coverage.
“The filter complement should include at least six fi lters in the wavelength range limited by atmospheric absorption and silicon detection ef fi ciency ( 320 -1050 nm ) , with roughly rectangular fi lters and no large gaps in the coverage, in order to enable robust and accurate photometric redshifts and stellar typing.”
Quote in the paperSubstantial claimNot yet classified.
Interpretation§ 2.1.2. Taking an Inventory of the Solar System · p. 6The images must be well sampled to enable accurate astrometry, with absolute accuracy of at least 0.1 arcseconds, in order to measure orbital parameters of trans-Neptunian objects with enough precision to constrain theoretical models and enable prediction of occultations.
“The images must be well sampled to enable accurate astrometry, with absolute accuracy of at least 0 1 in order to measure orbital parameters of TNOs with enough precision to constrain theoretical models and enable prediction of occultations.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.3. System Design Trade-offs · p. 10There is a minimum étendue of approximately 300 square degrees square meters that enables the disparate science goals to be addressed with a single data set.
“In summary, given the science requirements as stated here, there is a minimum étendue of ∼ 300 deg 2 m 2 , which enables our seemingly disparate science goals to be addressed with a single data set.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.2. Taking an Inventory of the Solar System · p. 6Individual exposures should be shorter than about 30 seconds to minimize the effects of trailing for the majority of moving objects.
“Individual exposures should be shorter than about 30 s to minimize the effects of trailing for the majority of moving objects.”
Quote in the paperNot yet classifiedNot yet classified.
Study design and conduct§ 2.5. The Calibration Methods · p. 11A dedicated 1.2 m auxiliary calibration telescope will obtain spectra of standard stars in LSST fields to calibrate atmospheric throughput as a function of wavelength.
“A dedicated 1.2 m auxiliary calibration telescope will obtain spectra of standard stars in LSST fi elds, calibrating the atmospheric throughput as a function of wavelength ( Stubbs et al. 2007; see Figures 5 and 6 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Stubbs et al. 2007 source
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Interpretation§ 2.2.2. The Optimal Exposure Time · p. 9The three requirements place a firm upper limit on the optimal visit exposure time of less than 40 seconds.
“These three requirements place a fi rm upper limit on the optimal visit exposure time of t vis < 40 s.”
Quote in the paperNot yet classified- The authors state this as an assumption: Two visits per night are assumed.
- The authors state this as an assumption: Uniform cadence is assumed for the mean revisit time.
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Interpretation§ 2.5. The Calibration Methods · p. 11Precise determination of the point-spread function across each image, accurate photometric and astrometric calibration, and continuous monitoring of system performance and observing conditions are needed to reach the full potential of the LSST mission.
“Precise determination of the PSF across each image, accurate photometric and astrometric calibration, and continuous monitoring of system performance and observing conditions will be needed to reach the full potential of the LSST mission.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.2. Taking an Inventory of the Solar System · p. 6The congressional mandate can be fulfilled with a 10 m class telescope equipped with a multi-gigapixel camera and a sophisticated and robust data processing system.
“The congressional mandate can be ful fi lled with a 10 m class telescope equipped with a multi-gigapixel camera and a sophisticated and robust data processing system ( Ivezi ć et al. 2007b ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Ivezić et al. 2007b
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Interpretation§ 3.1. The Baseline LSST Surveys · p. 20The main deep-wide-fast survey will use about 90% of the observing time.
“The main deep-wide-fast survey will use about 90% of the observing time.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.4. The Filter Complement · p. 10Replacing the ugrizy system with a filter complement that includes only five filters is not satisfactory.
“We have investigated the possibility of replacing the ugrizy system with a fi lter complement that includes only fi ve fi lters. For example, each fi lter width could be increased by 20% over the same wavelength range ( neither a shorter wavelength range nor gaps in the wavelength coverage are desirable options ) , but this option is not satisfactory.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3. Anticipated Data Products and Their Characteristics · p. 19The LSST observing strategy is designed to maximize scientific throughput by minimizing slew and other downtime and by choosing filter bands according to realtime weather conditions.
“The LSST observing strategy is designed to maximize the scienti fi c throughput by minimizing slew and other downtime and by making appropriate choices of the fi lter bands given the realtime weather conditions.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.2.2. The Optimal Exposure Time · p. 10The reference design has a revisit time of 3 days on average for 10,000 square degrees of sky, with two visits per night.
“A revisit time of 3 days on average for 10,000 deg 2 of sky, with two visits per night.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The observing strategy for the main survey will be optimized for homogeneity of depth and number of visits.
“The observing strategy for the main survey will be optimized for the homogeneity of depth and number of visits.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ 2.1.2. Taking an Inventory of the Solar System · p. 6The photometric calibration should be better than 1%-2% to measure asteroids' colors and thus determine their types.
“The photometric calibration should be better than 1% -2% to measure asteroids ' colors and thus determine their types.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 2.2.2. The Optimal Exposure Time · p. 10The chosen primary mirror diameter is the minimum diameter that simultaneously satisfies the depth constraints of r ~ 24.5 for a single visit and r ~ 27.5 for co-added depth, and the cadence constraints of a revisit time of 3-4 days with 30 seconds per visit.
“To summarize, the chosen primary mirror diameter is the minimum diameter that simultaneously satis fi es the depth ( r ∼ 24.5 for single visit and r ∼ 27.5 for co-added depth ) and cadence ( revisit time of 3 -4 days, with 30 s per visit ) constraints described above.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The universal cadence provides most of LSST's power for detecting NEOs and KBOs and incorporates the southern half of the ecliptic within 18,000 square degrees, with a declination cut of about +2°.
“The universal cadence provides most of LSST ' s power for detecting NEOs and Kuiper Belt objects ( KBOs ) and naturally incorporates the southern half of the ecliptic within its 18,000 square degrees, with a decl. cut of about δ = + 2 ° .”
Quote in the paperNot yet classifiedNot yet classified.
Study design and conduct§ 2.5. The Calibration Methods · p. 12The planned LSST calibration process separates the establishment of a stable and uniform internal relative calibration from the assignment of absolute optical flux to celestial objects.
“The planned calibration process decouples the establishment of a stable and uniform internal relative calibration from the task of assigning absolute optical fl ux to celestial objects.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.2.1. The Aperture Size · p. 9The required co-added survey depth provides a direct constraint on the minimum effective primary mirror diameter of 6.4 m.
“The required co-added survey depth provides a direct constraint, independent of the details of survey execution such as the exposure time per visit, on the minimum effective primary mirror diameter of 6.4 m, as illustrated in Figure 2.”
Quote in the paperNot yet classified- The authors state this as an assumption: 22% of the total observing time, corrected for weather and other losses, is allocated for the r band.
- The authors state this as an assumption: The ratio of the surveyed sky area to the field-of-view area is 2000.
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Interpretation§ 2.2.1. The Aperture Size · p. 8A larger field of view would lead to unacceptable deterioration of the image quality.
“A larger fi eld of view would lead to unacceptable deterioration of the image quality.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.1.5. A Summary and Synthesis of Science-driven Constraints on Data Properties · p. 7The revisit time distribution should enable determination of orbits of solar system objects and sample supernova light curves every few days, while accommodating constraints set by proper-motion and trigonometric parallax measurements.
“The revisit time distribution should enable determination of orbits of solar system objects and sample SN light curves every few days, while accommodating constraints set by proper-motion and trigonometric parallax measurements.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 2.4. The Filter Complement · p. 10Redesigning the riz bands as two wider bands is undesirable because the r and i bands are primary for weak lensing studies and star/galaxy separation, and atmospheric dispersion would worsen the point-spread function for a wider bandpass.
“As a last option, the riz bands could be redesigned as two wider bands. However, this option is also undesirable because the r and i bands are the primary bands for WL studies and for star / galaxy separation, and atmospheric dispersion would worsen the PSF for a wider bandpass ( e.g., at air mass of 1.3, the typical dispersion in the u , g , and r bands is 0 55, 0 46, and 0 19, respectively; if”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20These mini-surveys aim to extend the parameter space accessible to the main survey by going deeper or employing different time/filter sampling.
“These surveys aim to extend the parameter space accessible to the main survey by going deeper or by employing different time / fi lter sampling.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24This error behavior is a strong independent argument for a survey lifetime of at least 10 yr.
“This error behavior is a strong independent argument for a survey lifetime of at least 10 yr ( see Section 2 ) .”
Quote in the paperNot yet classified- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 21The SN sample would be extended to redshifts of z ~ 1.2, with more densely sampled light curves than from the universal cadence.
“For example, the SN sample would be extended to redshifts of z ∼ 1.2, with more densely sampled light curves than obtained from the universal cadence.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Prompt products will support discovery and follow-up of solar system objects.
“In addition to transient science, the prompt products will support discovery and follow-up of objects in the solar system.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 3.2.1. Expected Photometric S / N · p. 22Based on SDSS experience (Sesar et al. 2007), the random photometric error for point sources as a function of magnitude is well described by Equation (5).
“Based on SDSS experience ( Sesar et al. 2007 ) , the random photometric error for point sources, as a function of magnitude, is well described 98 by”
Quote in the paperNot yet classified0 of 1 sources checked- cites Sesar et al. 2007 source
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Interpretation§ 3.2.1. Expected Photometric S / N · p. 22The calibration system and procedures are designed to maintain σsys < 0.005 mag.
“The calibration system and procedures are designed to maintain σ sys < 0.005 mag.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20Roughly 10% of the time will be allocated to other strategies that significantly enhance the scientific return.
“Although the uniform treatment of the sky provided by the universal cadence proposal can satisfy the majority of LSST scienti fi c goals, roughly 10% of the time will be allocated to other strategies that signi fi cantly enhance the scienti fi c return.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.2.1. Expected Photometric S / N · p. 22Another meaning of Cm∞ is the loss of depth at the nominal tvis due to finite readout noise.
“Another meaning of Cm D ¥ is the loss of depth at the nominal value of t vis due to fi nite readout noise.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The baseline universal cadence represents a proof of concept that it is possible to design an observing strategy that addresses a wide variety of science goals in a nearly optimal way.
“Rather, it represents a proof of concept that it is indeed possible to design a observing strategy that addresses a wide variety of science goals in a nearly optimal way.”
Quote in the paperNot yet classifiedMay combine two claims.
Interpretationcitation§ 3.3. Data Products and Archive Services · p. 25Alerts to such events will be published within 60 s of observation; several million alerts per night are expected.
“The alerts to such events will be published within 60 s of observation; we expect several million alerts per night ( Ridgway et al. 2014 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ridgway et al. 2014 source
Not checked in the free run.
Not yet classified.
Interpretation§ 3.2.1. Expected Photometric S / N · p. 22When this assumption is not correct (e.g., in the u band), the coefficients Cm do slightly depend on tvis.
“When this assumption is not correct ( e.g., in the u band ) , the coef fi cients Cm do slightly depend on t vis .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 20Three examples of mini-surveys are the northern ecliptic spur, the southern celestial cap, and the Galactic plane survey.
“We have already discussed three examples of such mini-surveys: the northern ecliptic spur to improve completeness of the asteroid and KBO population, the southern celestial cap to extend the survey footprint to the South Pole ( thus providing coverage of the Magellanic Clouds ) , and the Galactic plane survey to include low Galactic latitude fi elds.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ Notes. · p. 24Due to very red V-u colors and the relatively bright limiting magnitude in the y band, the smallest objects are preferentially detected in the griz bands.
“Due to very red V - u colors and the relatively bright limiting magnitude in the y band, the smallest objects are preferentially detected in the griz bands.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 21When subsequences from a given night were co-added, they would provide dense time sampling to a faint limit of r ~ 26.5 and enable deep searches for SNe, TNOs, and other faint transient, moving, and variable sources.
“When subsequences from a given night were co-added, they would provide dense time sampling to a faint limit of r ∼ 26.5 and would enable deep searches for SNe, TNOs, and other faint transient, moving, and variable sources.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24There are close to 1000 galaxies per sensor with r < 22, which will provide exquisite control of systematic astrometric errors and enable absolute proper-motion measurements.
“Furthermore, there are close to 1000 galaxies per sensor with r < 22, which will provide exquisite control of systematic astrometric errors as a function of magnitude, color, and other parameters and thus enable absolute proper-motion measurements.”
Quote in the paperNot yet classified- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Premise§ 3.2.2. The NEO Completeness Analysis · p. 23After accounting for differences in input assumptions and models, each of the independent works (Jones et al. 2018; Vereš & Chesley 2017a, 2017b; Grav et al. 2016) calculates a completeness value that is consistent within a few percent.
“After accounting for differences in their input assumptions and models, each of these independent works calculates a completeness value that is consistent within a few percent.”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Interpretation§ 3.2.1. Expected Photometric S / N · p. 22This decoupling is only correct in the limit that instrumental noise (dominated by readout noise) is negligible compared to background noise.
“However, this decoupling between the system sensitivity expressed via Cm and observing conditions is only correct in the limit that the instrumental noise ( dominated by the readout noise ) is negligible compared to the background noise.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.2.1. Expected Photometric S / N · p. 22The differences in performance between LSST and SDSS follow directly from these relations.
“The differences in performance between LSST and, for example, SDSS follow directly from these relations.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ Notes. · p. 22These four fields are only the first chosen for deep-drilling observations.
“These four fi elds are only the fi rst chosen for deep-drilling observations.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Prompt products will include alerts to objects that were newly discovered or have changed brightness or position at a statistically significant level.
“They will include alerts to objects that were newly discovered or have changed brightness or position at a statistically signi fi cant level.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The Galactic plane proposal provides 30 observations in each of six filters, distributed roughly logarithmically in time.
“Within this region, the Galactic plane proposal provides 30 observations in each of the six fi lters, distributed roughly logarithmically in time ( it may not be necessary to use the u and g fi lters for this heavily extincted region ) .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Prompt products will be generated continuously every observing night by detecting and characterizing sources in images differenced against deep templates.
“These will be generated continuously every observing night, by detecting and characterizing sources in images differenced against deep templates.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.2.1. Expected Photometric S / N · p. 22The structure of Equation (6) illustrates decoupling between system sensitivity absorbed into Cm and observing conditions specified by msky, θ, tvis, km, and X.
“The structure of Equation ( 6 ) nicely illustrates decoupling between the system sensitivity that is fully absorbed into Cm and observing conditions speci fi ed by m sky , θ , t vis , km , and X .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.1. The Main Deep-wide-fast Survey and Its Extensions · p. 20The universal cadence excludes observations at low Galactic latitudes, where high stellar density leads to a confusion limit at brighter magnitudes.
“Finally, the universal cadence proposal excludes observations at low Galactic latitudes, where the high stellar density leads to a confusion limit at much brighter magnitudes than those attained in the rest of the survey.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Data collected by LSST will be automatically processed to data products (catalogs, alerts, reduced images) by the LSST Data Management system.
“Data collected by the LSST telescope and camera will be automatically processed to data products -catalogs, alerts, and reduced images -by the LSST Data Management system ( Section 2.6.3 ) .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 25LSST will smoothly extend Gaia's error versus magnitude curve about 4 mag fainter.
“Hence, LSST will smoothly extend Gaia ' s error versus magnitude curve about 4 mag fainter ( for illustration, see Figure 21 in Ivezi ć et al. 2012 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Ivezić et al. 2012 source
Not checked in the free run.
- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Interpretation§ 3.2.1. Expected Photometric S / N · p. 22The values of Cm listed in Table 2 assume instrumental noise of 9 e- per pixel and per readout.
“The values of Cm listed in Table 2 assume instrumental noise of 9 e -per pixel and per readout ( whose effect on m 5 is signi fi cant only in the u band ) .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 21Such sequences would serve as excellent tests of photometric calibration procedures.
“Such sequences would also serve as excellent tests of our photometric calibration procedures.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 24Even SDSS delivers uncorrelated systematic errors at the level of 20-30 mas; the expected image quality for LSST will be twice as good as for SDSS.
“Even a drift-scanning survey such as SDSS delivers uncorrelated systematic errors ( dominated by seeing effects ) at the level of 20 -30 mas ( measured from repeated scans; Pier et al. 2003 ) ; the expected image quality for LSST will be twice as good as for SDSS.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Pier et al. 2003 source
Not checked in the free run.
- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Prompt products are designed to support discovery, characterization, and rapid follow-up of time-dependent phenomena.
“Prompt products, 101 designed to support the discovery, characterization, and rapid follow-up of time-dependent phenomena ( ' transient science ' ) .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 21The individual sequences would be sensitive to 1% variability on subminute timescales, allowing discovery of planetary eclipses and interstellar scintillation effects.
“The individual sequences would be sensitive to 1% variability on subminute timescales, allowing discovery of planetary eclipses and of interstellar scintillation effects, expected when the light of a background star propagates through a turbulent gas medium ( Moniez 2003; Habibi et al. 2011 ) .”
Quote in the paperNot yet classified0 of 2 sources checkedNot yet classified.
Interpretation§ Notes. · p. 24The MOPS software system and its algorithms are significantly more advanced than anything previously fielded for this purpose to date.
“The MOPS software system and its algorithms are signi fi cantly more advanced than anything previously fi elded for this purpose to date.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.2. Detailed Analysis of Simulated Surveys · p. 22In both examples (NEO completeness and astrometric errors), the conclusions crucially depend on the assumed accuracy of the photometry and astrometry.
“In both examples, the conclusions crucially depend on the assumed accuracy of the photometry and astrometry, as we now describe.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ Notes. · p. 24For a given albedo and spherical asteroids, H depends only on the asteroid diameter.
“For a given albedo and spherical asteroids, H depends only on the asteroid diameter.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 3.1.2. Mini-surveys and Deep Drilling Fields · p. 21LSST has selected four distant extragalactic survey fields (Elias S1, XMM-LSS, Extended Chandra Deep Field-South, and COSMOS) to be observed as Deep Drilling Fields with deeper coverage and more frequent temporal sampling than the standard LSST observing pattern.
“The LSST has already selected four distant extragalactic survey fi elds 97 that the project guarantees to observe as Deep Drilling Fields with deeper coverage and more frequent temporal sampling than provided by the standard LSST observing pattern.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Objects with motions sufficient to cause trailing in a single exposure will be identified and flagged as such when alerts are broadcast.
“Objects with motions suf fi cient to cause trailing in a single exposure will be identi fi ed and fl agged as such when the alerts are broadcast.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25These products are designed to enable a large majority of LSST science cases without working directly with raw pixels.
“These products are designed to enable a large majority of LSST science cases, without the need to work directly with the raw pixels.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 3.2.3. The Expected Accuracy of Trigonometric Parallax and Propermotion Measurements · p. 25SDSS-POSS proper-motion measurements have an accuracy of ~5 mas yr-1 per coordinate at r = 20, and Gaia DR2 has delivered a median uncertainty in parallax of 0.7 mas and in proper motion of 1.2 mas yr-1 at its faint end (r ~ 20).
“For comparison with Table 3, the SDSS-POSS propermotion measurements have an accuracy of ∼ 5 mas yr -1 per coordinate at r = 20 ( Munn et al. 2004 ) , and Gaia DR 2 has delivered a median uncertainty in parallax of 0.7 mas and in proper motion of 1.2 mas yr -1 at its faint end, approximately corresponding to r = 20 ( Gaia Collaboration et al. 2018; Lindegren et al. 2018 ) .”
Quote in the paperNot yet classified0 of 3 sources checked- cites Munn et al. 2004 source
Not checked in the free run.
- cites Gaia Collaboration et al. 2018 source
Not checked in the free run.
- cites Lindegren et al. 2018 source
Not checked in the free run.
- The authors state this as an assumption: Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
Not yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26In the JupyterLab aspect, computation and analysis will occur at the LSST Data Access Center, giving a user experience nearly identical to local Jupyter notebooks.
“The user experience will be nearly identical to working with Jupyter notebooks locally, except that computation and analysis will occur with resources provided at the LSST Data Access Center.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26The JupyterLab aspect will provide a Jupyter Notebook-like interface for next-to-the-data remote analysis, with a large suite of astronomical software including the LSST software stack.
“The JupyterLab aspect, which will provide a Jupyter 106 Notebook-like interface and is geared toward enabling next-to-the-data remote analysis. A large suite of commonly used astronomical software, including the LSST software stack ( Section 2.6.4 ) , will be made available through this interface.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4. Examples of LSST Science Projects · p. 26LSST will produce roughly 30 trillion photometric measurements of celestial sources.
“Each sky position within the main survey area will be observed close to 1000 times, with timescales spanning seven orders of magnitude ( from 30 s to 10 yr ) , and produce roughly 30 trillion photometric measures of celestial sources.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4. Examples of LSST Science Projects · p. 26Each sky position in the main survey area will be observed close to 1000 times, with timescales spanning seven orders of magnitude from 30 s to 10 yr.
“Each sky position within the main survey area will be observed close to 1000 times, with timescales spanning seven orders of magnitude ( from 30 s to 10 yr ) , and produce roughly 30 trillion photometric measures of celestial sources.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4. Examples of LSST Science Projects · p. 26The main LSST product will be a multicolor ugrizy image of about half the sky to r~27.5.
“The main product of the LSST system will be a multicolor ugrizy image of about half the sky to unprecedented depth ( r ∼ 27.5 ) .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25LSST data releases will contain reduced and raw single-epoch images, deep co-adds, catalogs of detected objects, catalogs of sources, and catalogs of forced sources.
“These will include the ( reduced and raw ) singleepoch images, deep co-adds of the observed sky, catalogs of objects detected in LSST data, catalogs of sources ( the detections and measurements of objects on individual visits ) , and catalogs of ' forced sources ' ( measurements of fl ux on individual visits at locations where objects were detected by LSST or other surveys ) .”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 3.3.1. The LSST Science Platform · p. 26The LSST Science Platform is LSST's vision for a large-scale astronomical data archive that enables effective research with data sets of LSST size and complexity.
“The LSST Science Platform ( Juri ć et al. 2017 ) represents LSST ' s vision for a large-scale astronomical data archive that can enable effective research with data sets of LSST size and complexity.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Juri ć et al. 2017
Not checked in the free run.
May combine two claims.
Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 27At i<25.3 (S/N>20 for point sources), LSST galaxy photometry will be high enough for photometric redshifts with rms σ/(1+z) of 2% over 0.3<z<3.0, with only 10% of the sample having errors larger than 6%.
“At i < 25.3 ( S / N > 20 for point sources ) , the photometry of galaxies will be of high enough quality to provide photometric redshifts with an rms accuracy ( σ / ( 1 + z )) of 2% over the range 0.3 < z < 3.0 ( only 10% of the sample will have redshift errors larger than 6% ) .”
Quote in the paperSubstantial claim- Rests on an assumption: Known templates for galaxy spectral energy distributions are available for photometric redshift estimation.
Not yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25In LSST DR processing, co-adds will be used for object detection, while object properties will be measured by simultaneously fitting PSF-convolved models to all single-epoch observations.
“That is, while the co-adds will be used to perform object detection , the measurement of their properties will be performed by simultaneously fi tting ( PSF-convolved ) models to all single-epoch observations.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25User-generated LSST data products can be created or used at the LSST Data Facility through the LSST Science Platform.
“We will make it possible for the end users to create ( or use ) such user-generated 105 products at the LSST Data Facility, using the services offered within the LSST Science Platform ( Section 3.3.1 ) .”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Mini-survey data products will be generated with the same processing system and released on the same timescale as the rest of the survey; specialized processing will be the community's responsibility.
“The data products for these programs will be generated using the same processing system and will be released on the same timescale as the rest of the survey; any specialized processing that these require will be the responsibility of the community.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ 3.3. Data Products and Archive Services · p. 25An extended source model, a constrained linear combination of two Sérsic profiles, and a point-source model with proper motion will generally be fitted to each detected object.
“An extended source model -a constrained linear combination of two Sérsic pro fi les -and a pointsource model with proper motion -will generally be fi tted to each detected object.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26Based on current plans and technology projections, the reserved Science Platform resources equate to about 2400 cores, 4 PB of file storage, and 3 PB of database storage at the start of LSST operations in 2022.
“Based on the current plans and technology projections, these equate to approximately 2400 cores, 4 PB of fi le storage, and 3 PB of database storage at the beginning of LSST operations ( in 2022 ) .”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone given§ 3.3. Data Products and Archive Services · p. 25LSST data releases will also include fully reprocessed prompt products, plus metadata and software needed to reproduce any part of LSST DR processing.
“LSST DRs will also include fully reprocessed prompt products, as well as all metadata and software necessary for the end user to reproduce any aspect of LSST DR processing.”
Quote in the paperNot a substantial claimNot yet classified.
Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 27Euclid's planned 6-year survey should reach a similar galaxy density over 15,000 square degrees, providing a complementary weak lensing survey of comparable constraining power but limited by different systematics.
“The Euclid mission ' s planned 6 yr survey should reach a similar galaxy density over 15,000 square degrees of sky ( Laureijs et al. 2011 ) ; its space-based resolution and broadband optical and NIR fi lters should provide a complementary WL survey of comparable constraining power but limited by different systematics.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Laureijs et al. 2011
Not checked in the free run.
May combine two claims.
Premisenone given§ 4.1. Probing Dark Energy and Dark Matter · p. 28The galaxy-shear correlation function probes growth of dark matter large-scale structure and is a diagnostic of the underlying cosmology.
“The galaxy -shear correlation function probes the growth of dark matter large-scale structure and is a diagnostic of the underlying cosmology.”
Quote in the paperSubstantial claimNot yet classified.
Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 26Combining cosmological probes allows systematics to be calibrated and degeneracies to be broken because individual probes constrain degenerate parameter combinations and are affected by different systematics.
“Any given probe constrains degenerate combinations of cosmological parameters, and each probe is affected by different systematics; thus, the combination of probes allows systematics to be calibrated and for degeneracies to be broken.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 27Photometric redshift calibration can be further improved by cross-correlating the photometric sample with redshift surveys of galaxies and quasars in the same fields.
“It will be possible to further improve photometric redshift calibration by crosscorrelating the photometric sample with redshift surveys of galaxies and quasars in the same fi elds ( Newman 2008; Matthews & Newman 2010; Ménard et al. 2013; Davis et al. 2017 ) .”
Quote in the paperNot yet classified0 of 3 sources checked- cites Newman 2008 source
Not checked in the free run.
- cites Matthews & Newman 2010
Not checked in the free run.
- cites Ménard et al. 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ 3.3. Data Products and Archive Services · p. 25Objects that are not trailed will be identified and linked based on their motion from observation to observation over a few days.
“Those that are not trailed will be identi fi ed and linked based on their motion from observation to observation, over a period of a few days.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26The LSST Science Platform will be a set of web applications and services through which users access LSST data products and, if desired, conduct remote analyses or create user-generated products.
“The LSST Science Platform will be a set of web applications ( portals ) and services through which the users will access the LSST data products and, if desired, conduct remote analyses or create user-generated products.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4. Examples of LSST Science Projects · p. 26LSST design and optimization exploit its ability to scan a large sky area to a faint flux limit in a short time.
“The design and optimization of the LSST system leverage its unique capability to scan a large sky area to a faint fl ux limit in a short amount of time.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26The Web API aspect will expose LSST DAC services to other software tools and services using commonly accepted formats and protocols.
“The Web API aspect will expose the LSST DAC services to other software tools and services using commonly accepted formats and protocols.”
Quote in the paperNot yet classifiedMay combine two claims.
Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 27At a slightly brighter cut, there will be around 30 galaxies per arcmin^2 with shapes measured well enough for weak lensing, with the realized number depending on deblending and shape measurement algorithms.
“At a slightly brighter cut, there will be around 30 galaxies arcmin -2 with shapes measured well enough for WL measurements ( Chang et al. 2013, 2015 ) , with the number realized in practice being dependent on the performance of the deblending and shape measurement algorithms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chang et al. 2013, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ 3.3.1. The LSST Science Platform · p. 26The web Portal is designed to provide essential data access and visualization through a simple website, enabling querying and browsing similar to IRSA, MAST, or the SDSS archive.
“The web Portal, designed to provide the essential data access and visualization services through a simple-to-use website. It will enable querying and browsing of the available data sets in ways the users are accustomed to at archives such as IRSA, MAST, or the SDSS archive.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Approximately 10% of LSST observing time will be devoted to mini-surveys that do not follow the baseline cadence.
“As described in Section 3.1.2, approximately 10% of the observing time will be devoted to mini-surveys that do not follow the LSST baseline cadence.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26The Web API will enable remote access and analysis of LSST data using applications such as TOPCAT or libraries such as Astropy, and will allow federation with other astronomical archives.
“This interface will open the possibility for remote access and analysis of the LSST data set using applications that the users are already comfortable with such as TOPCAT ( Taylor 2005 ) , or libraries such as Astropy ( Astropy Collaboration et al. 2013; Jenness et al. 2016 ) . Furthermore, the offered APIs will allow for federation with other astronomical archives, bringing added value to the LS”
Quote in the paperNot yet classified0 of 2 sources checked- cites Taylor 2005
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Astropy Collaboration et al. 2013; Jenness et al. 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Not yet classified.
Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 26By measuring growth of large-scale structure and luminosity and angular distances as functions of redshift via weak lensing, large-scale structure, supernovae, and cluster counting, LSST data can reveal whether recent cosmic acceleration is due to dark energy or modified gravity.
“By simultaneously measuring the growth of large-scale structure and luminosity and angular distances as functions of redshift ( via WL, LSS, SN, and cluster counting ) , LSST data can reveal whether the recent cosmic acceleration is due to dark energy or modi fi ed gravity”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 26LSST's dark energy and dark matter probing uses multiple cross-checking probes that reach unprecedented precision.
“A unique aspect of LSST as a probe of dark energy and dark matter is the use of multiple cross-checking probes that reach unprecedented precision ( see Figure 23 ) .”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ 4. Examples of LSST Science Projects · p. 26SDSS provides ugriz images of about a quarter of the sky to r~22.5 with twice as large seeing.
“For a comparison, one of the best analogous contemporary data sets is that of SDSS, which provides ugriz images of about a quarter of the sky to r ∼ 22.5, with twice as large seeing ( see Figures 21 and 22 ) .”
Quote in the paperNot a substantial claimNot yet classified.
Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 28BAOs in galaxy angular correlation functions are a strong cosmological probe on their own.
“In addition, the presence of BAOs in the galaxy angular correlation functions is a strong cosmological probe on its own.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 28These measurements consist of two-point auto- and cross-correlations of shear and positions for billions of galaxies across about 10 redshift bins.
“These measurements consist of the two-point auto- and cross-correlations of shear and positions for billions of galaxies across ∼ 10 redshift bins.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25The likelihood surface characterization will be done by sampling, with up to about 200 independent likelihood samples retained per object.
“The characterization will be accomplished by sampling, with up to ∼ 200 ( independent ) likelihood samples retained for each object.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ 3.3. Data Products and Archive Services · p. 25For storage cost reasons, these likelihood samples may be retained only for the bands most important for weak lensing studies.
“For storage cost reasons, these samples may be retained only for those bands of greatest interest for WL studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 27The WFIRST baseline survey is expected to cover about 2000 square degrees and reach a galaxy density of 45 arcmin^-2.
“The WFIRST baseline survey is expected to cover some 2000 square degrees but reach a galaxy density of 45 arcmin -2 ( Spergel et al. 2015 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Spergel et al. 2015
Not checked in the free run.
Not yet classified.
Study design and conduct§ 4.1. Probing Dark Energy and Dark Matter · p. 27This photometric redshift accuracy is a requirement on the accuracy of the photometry given known SED templates.
“This number represents a requirement on the accuracy of the photometry at delivering photometric redshifts given known templates for the SEDs.”
Quote in the paperNot yet classified- Rests on an assumption: Known templates for galaxy spectral energy distributions are available for photometric redshift estimation.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone given§ 4.1. Probing Dark Energy and Dark Matter · p. 28The galaxy-galaxy correlation function is vital to constrain galaxy bias affecting galaxy-shear and is therefore essential in joint LSS and WL analysis.
“The galaxy -galaxy correlation function is vital to constrain the galaxy bias impacting the galaxy -shear correlation and is therefore an essential component in the joint analysis of LSS and WL.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25Their orbits as derived by MOPS will be published within 24 hr of identification.
“Their orbits as derived by MOPS will be published within 24 hr of identi fi cation.”
Quote in the paperNot yet classifiedMay combine two claims.
Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 27Requiring more training data than currently exists to define the template set degrades the expected σ/(1+z) to about 0.05, which is still within the expected range for a Stage IV dark energy experiment.
“The degradation in photometric redshift quality associated with requiring more training data than currently exists to de fi ne the template set increases the expected σ / ( 1 + z ) to ∼ 0.05 ( e.g., Newman et al. 2015; Graham et al. 2018 ) , which is still well within the expected range for a Stage IV dark energy experiment.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ 3.3. Data Products and Archive Services · p. 25The efficiency of linking (and thus completeness of the orbit catalog) will depend on the final observing cadence and the performance of the linking algorithm.
“The ef fi ciency of linking ( and thus the completeness of the resulting orbit catalog ) will depend on the fi nal observing cadence chosen for LSST, as well as the performance of the linking algorithm ( Section 3.2.2 ) .”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone given§ 3.3. Data Products and Archive Services · p. 25LSST data release products are intended to support science limited by systematics and flux, and they will be issued annually.
“2. DR products 102 are designed to enable systematics- and fl ux-limited science and will be made available in annual DRs.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26About 10% of the total LSST Data Facility compute and storage budget is reserved for the LSST Science Platform and shared by all LSST DAC users.
“Approximately 10% of the total budget for the LSST Data Facility compute and storage capacity has been reserved for the LSST Science Platform needs, and to be shared by all LSST DAC users.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 3.3. Data Products and Archive Services · p. 25LSST DR processing will rely largely on multi-epoch model fitting (MultiFit) for near-optimal characterization of object properties.
“A noteworthy aspect of LSST DR processing is that it will largely rely on multi-epoch model fi tting, or MultiFit , to perform near-optimal characterization of object properties.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 28Weak lensing and large-scale structure are highly complementary, and their auto- and cross-correlations will constrain late-time accelerated expansion while providing internal cross-checks for systematic uncertainties.
“WL and LSS are highly complementary probes, and the combination of their autoand cross-correlations will constrain the properties of the late-time accelerated expansion while providing internal cross-checks for marginalizing over systematic uncertainties ( e.g., Mandelbaum 2018 ) .”
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Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 28Combining galaxy-shear with galaxy-velocity correlation from planned spectroscopic surveys could test general relativity and its variants at high redshift.
“The combination with the galaxy -velocity correlation function estimated from currently planned spectroscopic surveys could test general relativity and its variants at high redshift ( Reyes et al. 2010 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Reyes et al. 2010 source
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Interpretation§ 3.3.1. The LSST Science Platform · p. 26The platform implements the 'bringing computation to the data' paradigm, reducing barriers to entry and shortening the path to science for the LSST community.
“This is an implementation of the ' bringing computation to the data ' paradigm: rather than imposing the burden of downloading, storing, and processing ( potentially large ) subsets of LSST data at their home institutions, we make it possible for the users to bring their codes and perform analyses at the LSST DAC. This reduces the barrier to entry and shortens the path to science for the LSST sci”
Quote in the paperNot yet classifiedMay combine two claims.
Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 27The median redshift for this weak lensing sample will be z~1.2, with the third quartile at z~2.
“The median redshift for this sample will be z ∼ 1.2, with the third quartile at z ∼ 2.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ 4.1. Probing Dark Energy and Dark Matter · p. 26Dark energy manifests itself in the redshift-distance relation (Hubble diagram), equivalently the expansion rate as a function of cosmic time, and in the rate at which matter clusters with time.
“Dark energy manifests itself in two ways. The fi rst is the relationship between redshift and distance ( the Hubble diagram ) , or equivalently the expansion rate of the universe as a function of cosmic time. The second is the rate at which matter clusters with time.”
Quote in the paperSubstantial claimNot yet classified.
Interpretation§ 3.3.1. The LSST Science Platform · p. 26The platform has three user-facing aspects: a web Portal, a JupyterLab aspect, and a Web API aspect.
“The platform makes this possible through three user-facing aspects :”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 27Barnard et al. (2008) showed that in a high-dimensional dark energy model space, LSST data could improve precision by a factor of 100 to 1000 over precursor experiments, confirming LSST as a premier Stage IV experiment.
“Barnard et al. ( 2008 ) showed that in a high-dimensional dark energy model space, LSST data could lead to a hundred- to thousand-fold increase in precision over its precursor experiments, thereby con fi rming its status as a premier Stage IV experiment in the sense of Albrecht et al. ( 2006 ) .”
Quote in the paperNot yet classified0 of 2 sources checked- cites Barnard et al. ( 2008 ) source
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- cites Albrecht et al. ( 2006 )
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Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 29Tens of thousands of galaxy-galaxy lenses will provide statistics to probe dark matter halo profiles and substructure.
“Tens of thousands of galaxy -galaxy lenses will provide the needed statistics to probe dark matter halo pro fi les and substructure ( e.g., Mandelbaum et al. 2006; Vegetti et al. 2012 ) .”
Quote in the paperNot yet classified0 of 2 sources checkedMay combine two claims.
Interpretationnone given§ 4.1. Probing Dark Energy and Dark Matter · p. 29SN Ia luminosities will be magnified by lensing from foreground structure, and this correlation can be probed with LSST data.
“In addition to the usual use of SNe Ia to probe the redshift -distance relation to high redshift, the luminosities will be magni fi ed by lensing from foreground structure, a correlation that can be probed with these data.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29This SN sample can be used as a tracer of large-scale structure through peculiar velocities, weak lensing of SN brightnesses, local bulk flow, and low-redshift isotropy constraints.
“This sample of SNe can be used as a tracer of large-scale structure by directly probing the gravitational potential of structure through inferences of their peculiar velocities ( Gordon et al. 2007; Bhattacharya et al. 2011; Howlett et al. 2017 ) , WL of SN brightnesses ( Dodelson & Vallinotto 2006; Quartin et al. 2014; Macaulay et al. 2017; Scovacricchi et al. 2017 ) , and the local bulk fl”
Quote in the paperSubstantial claim0 of 3 sources checkedNot yet classified.
Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 29This neutrino mass constraint is at the level needed to determine whether there is an inverted neutrino mass hierarchy.
“Given the current constraints on neutrino mass mixing, this is at the level to determine whether there is an inverted neutrino mass hierarchy, a fundamental question in particle physics.”
Quote in the paperNot yet classifiedMay combine two claims.
Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 30LSST will discover between 500 and 1000 strongly lensed SNe Ia, providing hundreds of additional high-quality time delays.
“LSST will also discover between 500 and 1000 strongly lensed SNe Ia ( Goldstein & Nugent 2017; Goldstein et al. 2018 ) , which will provide hundreds of additional high-quality time delays.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Goldstein & Nugent 2017
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- cites Goldstein et al. 2018 source
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Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 30Time delays of galaxy-scale lensed quasars will allow measurement of Hubble's constant in hundreds of systems, with subpercent precision in H(z) achievable.
“Time delays of galaxy-scale lensed quasars will allow one to measure Hubble ' s constant ( e.g., Suyu et al. 2010; Bonvin et al. 2017 ) in hundreds of systems; subpercentlevel precision in H ( z ) should be achievable ( Coe & Moustakas 2009; Treu & Marshall 2016 ) , providing a further independent dark energy probe.”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 30The baseline LSST cadence will produce orbital parameters for several million objects, dominated by main belt asteroids, with light curves and multicolor photometry for a substantial fraction.
“The baseline LSST cadence will result in orbital parameters for several million objects; these will be dominated by main belt asteroids, with light curves and multicolor photometry for a substantial fraction of detected objects.”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 30Standard sirens are a new cosmological probe, demonstrated by the binary neutron star merger discovered by LIGO with an electromagnetic counterpart, which constrained the Hubble parameter to roughly 15% precision.
“Standard sirens are a new cosmological probe, demonstrated by the recent discovery of a binary neutron star merger by the Laser Interferometer Gravitational Wave Observatory ( LIGO ) with an electromagnetic counterpart ( Abbott et al. 2017a ) , which was used to constrain the Hubble parameter to roughly 15% precision ( Abbott et al. 2017b ) .”
Quote in the paperNot yet classified0 of 2 sources checked- cites Abbott et al. 2017a
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- cites Abbott et al. 2017b
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Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 29The main LSST survey will obtain light curves in six bands and photometric redshifts of about 400,000 photometrically classified SNe Ia for cosmological distance measurements, with spectroscopic follow-up of a subsample of host galaxies.
“The main survey will obtain light curves in six bands and photometric redshifts of about 400,000 photometrically classi fi ed SNe Ia that can be used for cosmological distance measurements, with further spectroscopic follow-up of a subsample of their host galaxies.”
Quote in the paperNot yet classifiedMay combine two claims.
Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 30LSST will identify optical counterparts and provide deep optical imaging for clusters detected in other wavebands.
“In addition, LSST will identify optical counterparts and provide deep optical imaging for clusters detected in other wavebands ( e.g., Staniszewski et al. 2009 ) .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Staniszewski et al. 2009 source
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Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 29Higher-order shear and galaxy statistics and shear peak counts can improve dark energy constraints and provide self-calibration of various systematics.
“Higher-order shear and galaxy statistics and shear peak counts can improve dark energy constraints and provide self-calibration of various systematics ( Takada & Jain 2004; Dolney et al. 2006; Huterer et al. 2006; Petri et al. 2016 ) .”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Interpretationreasoning§ 4.1. Probing Dark Energy and Dark Matter · p. 29This SN Ia sample will provide larger statistics for Type Ia population studies and be spread across the full 18,000 deg2 LSST main survey footprint, allowing different probes of low-redshift large-scale structure.
“Such a sample will not only provide larger statistics for the study of the Type Ia population in the universe but also be spread across the full 18,000 deg 2 LSST main survey footprint, allowing different probes of the large-scale structure of the low-redshift universe.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationcitation§ 4.1. Probing Dark Energy and Dark Matter · p. 30Clustering properties of these galaxy clusters will be used to constrain cosmological parameters, marginalize over mass-observable relation and photometric redshift uncertainties, and constrain supersample covariance in WL and LSS two-point functions.
“The clustering properties of those same galaxy clusters will also be used to constrain cosmological parameters ( Mo et al. 1996; Mana et al. 2013 ) , to marginalize over uncertainties in the mass -observable relation and photometric redshift uncertainties ( Oguri & Takada 2011 ) , and to constrain the effects of supersample covariance in the two-point functions of WL and LSS ( Hu & Kravts”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Mo et al. 1996
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- cites Mana et al. 2013 source
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- cites Oguri & Takada 2011
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May combine two claims.
Premisecitation§ 4.1. Probing Dark Energy and Dark Matter · p. 30Cluster mass reconstruction from multiple image positions can probe the cluster inner mass profile and provide a separate cosmological test, especially with strongly lensed background objects at different redshifts.
“Cluster mass reconstruction based on the multiple image positions can probe the cluster inner mass pro fi le and can provide a separate test of cosmology, especially in cases with strongly lensed background objects at different redshifts ( Porciani & Madau 2000; Oguri & Kawano 2003 ) .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Porciani & Madau 2000
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- cites Oguri & Kawano 2003
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Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 29These higher-order statistics are also probes of primordial non-Gaussianities and those caused by nonlinear structure.
“They are also probes of both primordial nonGaussianities and those caused by nonlinear structure.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.1. Probing Dark Energy and Dark Matter · p. 29The ultimate promise of LSST SN surveys will depend on the observing strategy employed.
“The ultimate promise of such SN surveys will be linked to the observing strategy employed by the LSST.”
Quote in the paperNot yet classifiedMay combine two claims.
Premisenone given§ 4.1. Probing Dark Energy and Dark Matter · p. 30Constraints from standard sirens are independent of the local distance ladder, with primary uncertainties being the local velocity field and the system's inclination angle.
“Constraints from standard sirens are independent of the local distance ladder, with the primary uncertainties being the local velocity fi eld and the inclination angle of the system.”
Quote in the paperSubstantial claimNot yet classified.
Premise§ 4.1. Probing Dark Energy and Dark Matter · p. 29Primordial non-Gaussianity is probed by the large-scale power of any biased tracer of matter overdensities.
“Primordial non-Gaussianity is also probed by the largescale power of any biased tracer of the matter overdensities ( Dalal et al. 2008 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Dalal et al. 2008 source
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May combine two claims.
Interpretationnone given§ 4.2. Taking an Inventory of the Solar System · p. 30LSST will be capable of detecting objects like Sedna beyond 100 au, enabling in situ exploration far beyond the Kuiper Belt edge at ~50 au.
“LSST will be capable of detecting objects like Sedna to beyond 100 au, thus enabling in situ exploration far beyond the edge of the Kuiper Belt at ∼ 50 au.”
Quote in the paperNot a substantial claimNot yet classified.
Premise§ 4.2. Taking an Inventory of the Solar System · p. 30Understanding small-body populations physically and in their number and size distribution is key to testing theories of solar system formation and evolution.
“Understanding these populations, both physically and in their number and size distribution, is a key element in testing various theories of solar system formation and evolution.”
Quote in the paperNot yet classifiedClassified as probably not a substantial claim. May combine two claims.
Interpretationnone given§ 4.3. Exploring the Transient Optical Sky · p. 32LSST will be able to identify the progenitors of eruptive transients in its deep stacks and search for faint precursor eruptions.
“We will be able to identify the progenitors of eruptive transients in the deep LSST stacks and even look for faint precursor eruptions.”
Quote in the paperSubstantial claimNot yet classified.
Interpretation§ 4.3. Exploring the Transient Optical Sky · p. 32LSST's superb AGN continuum light curves will enable economical piggyback reverberation-mapping using emission-line spectroscopy.
“The superb continuum light curves of AGNs will enable economical ' piggyback ' reverberation-mapping efforts using spectroscopy of emission lines”
Quote in the paperNot yet classified0 of 3 sources checkedMay combine two claims.
Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 32LSST will provide a large, well-characterized sample of superluminous supernovae, including objects at redshift as high as 2.5, large enough to improve cosmological constraints on w and Ωm.
“A large, well-characterized sample of superluminous SNe, including objects at redshift as high as z = 2.5, a sample large enough to be leveraged for cosmology improving constraints on w and Ω m ( Scovacricchi et al. 2016 )”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scovacricchi et al. 2016 source
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Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 30Because most small bodies will be observed several hundred times, accurate orbital elements, colors, and variability information will be available.
“Because most of these objects will be observed several hundred times, accurate orbital elements, colors, and variability information will also be available.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.3. Exploring the Transient Optical Sky · p. 32LSST is expected to discover at least several hundred strongly lensed core-collapse supernovae.
“at least several hundred strongly lensed core-collapse SNe ( Oguri & Marshall 2010 ) are expected to be discovered by LSST.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Oguri & Marshall 2010
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Classified as probably not a substantial claim.
Interpretationnone given§ 4.3. Exploring the Transient Optical Sky · p. 32LSST will enable optical identification of transients and variables detected in other electromagnetic wavebands, from gamma rays to radio.
“Optical identi fi cation of transients and variables detected in other electromagnetic wavebands, from gamma-rays to radio.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationcitation§ 4.2. Taking an Inventory of the Solar System · p. 31Studying the distribution of inner Oort Cloud object orbits, including clustering in argument of perihelion, will test models predicting a planetary-mass object beyond Neptune (Planet 9).
“Studying the distribution of their orbits ( in particular including any clustering in the argument of perihelion ) will test models predicting the existence of a planetary-mass object beyond Neptune, a proposed Planet 9 ( Trujillo & Sheppard 2014; Batygin & Brown 2016; Brown & Batygin 2016; Sheppard & Trujillo 2016; Brown 2017 ) .”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 31LSST will extend the extrasolar planet census to larger distances within the Galaxy, enabling studies of planet frequency as a function of stellar metallicity and parent population.
“LSST will extend the extrasolar planet census to larger distances within the Galaxy, thus enabling detailed studies of planet frequency as a function of stellar metallicity and parent population ( e.g., Hartman et al. 2009; Bayliss & Sackett 2011 ) .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hartman et al. 2009 source
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Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 31LSST will be about 3 mag more sensitive than current NEO surveys like Pan-STARRS1 and will cover more sky more often.
“LSST will be some 3 mag more sensitive than current NEO surveys ( like Pan-STARRS1 ) and will cover more sky more often.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.3. Exploring the Transient Optical Sky · p. 32LSST will enable studies of quasar variability using accurate multicolor light curves for a few million quasars, constraining accretion physics and nuclear environments.
“A study of quasar variability using accurate, multicolor light curves for a few million quasars, leading to constraints on the accretion physics and nuclear environments”
Quote in the paperNot yet classified0 of 3 sources checkedProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationreasoning§ 4.4. Mapping the Milky Way · p. 33LSST will map the Galaxy in unprecedented detail and thereby revolutionize Galactic astronomy and near-field cosmology.
“The LSST will map the Galaxy in unprecedented detail, and by doing so revolutionize the fi elds of Galactic astronomy and near- fi eld cosmology.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 31LSST extends time-volume-color space by 50-100 times over current surveys, facilitating new population and statistical studies and discovery of new classes of objects.
“Since LSST extends time -volume -color space 50 -100 times over current surveys ( e.g., Djorgovski et al. 2013 ) , it will facilitate new population and statistical studies and also the discovery of new classes of objects.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Djorgovski et al. 2013 source
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Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 30LSST will discover an unprecedentedly large number of comets, typically with 50 observations per object spread throughout their orbits during the 10-year survey, helping constrain models of comet origin.
“LSST will discover an unprecedentedly large number of comets, with typically 50 observations per object spread throughout their orbits during the 10 yr survey, and will help us to constrain models of the origin of comets ( Solontoi 2010; Silsbee & Tremaine 2016 ) .”
Quote in the paperNot yet classified0 of 2 sources checked- cites Solontoi 2010
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- cites Silsbee & Tremaine 2016
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Interpretationcitation§ 4.3. Exploring the Transient Optical Sky · p. 32LSST will constrain the rates of individual eruption subclasses by detecting them in galaxies out to tens of megaparsecs.
“We will also constrain the rates of individual eruption subclasses ( Smith 2014 ) by detecting them in galaxies out to tens of megaparsecs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Smith 2014 source
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Interpretationnone given§ 4.3. Exploring the Transient Optical Sky · p. 31LSST data products will enable studies of dwarf novae, including their use as probes of stellar populations and structure in the Local Group.
“Studies of dwarf novae, including their use as probes of stellar populations and structure in the Local Group”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 4.3. Exploring the Transient Optical Sky · p. 31LSST data products will enable discovery and characterization of thousands of hot Jupiters in exoplanetary systems via the transit method.
“Discovery and characterization of thousands of hot Jupiters in exoplanetary systems via the transit method ( Wright et al. 2012 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Wright et al. 2012 source
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May combine two claims.
Interpretationnone given§ 4.3. Exploring the Transient Optical Sky · p. 32LSST will monitor microlensing events in about 4000 gravitationally lensed quasars and use them to measure the spatial structure of quasar accretion disks.
“Microlensing events will also be monitored in the ∼ 4000 gravitationally lensed quasars discovered by LSST and used to measure the spatial structure of quasar accretion disks.”
Quote in the paperSubstantial claimNot yet classified.
Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 31LSST is likely to find more interstellar objects, and more frequently, than current surveys.
“Therefore, LSST is likely to fi nd more interstellar objects, and more frequently.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 31LSST will produce a much larger, well-understood sample of inner Oort Cloud objects like Sedna and 2012 VP113.
“This will result in a much larger, well-understood sample of inner Oort Cloud objects like Sedna and 2012 VP113 ( Trujillo & Sheppard 2014 ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Trujillo & Sheppard 2014 source
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Interpretationnone given§ 4.3. Exploring the Transient Optical Sky · p. 31Out-of-transit variability of exoplanet host stars will provide system characterization via flaring behavior and stellar age via gyrochronology, helping constrain tidal evolution and migration in giant planets.
“The out-of-transit variability of exoplanet host stars will also provide characterization of the system via fl aring behavior and stellar age via gyrochronology, the latter helping constrain theories of tidal evolution and migration in giant planets.”
Quote in the paperNot a substantial claimNot yet classified.
Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 31Depending on Planet 9's on-sky location and brightness, LSST may directly detect it in wide survey images.
“Depending on the proposed Planet 9 ' s on-sky location and brightness, it may be possible for LSST to directly detect it in the wide survey images ( Batygin & Brown 2016; Brown & Batygin 2016; Sheppard & Trujillo 2016; Brown 2017 ) .”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Interpretation§ 4.3. Exploring the Transient Optical Sky · p. 33LSST is expected to generate a sample of about 100 kilonovae, enabling comparative studies of these transients.
“the ∼ 100-kilonova sample that LSST is expected to generate will enable comparative studies of these transients”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.2. Taking an Inventory of the Solar System · p. 31Estimates suggest LSST will increase the number of rare interstellar objects by an order of magnitude, helping constrain planetary system formation frequency and properties in the solar neighborhood.
“Estimates from Cook et al. ( 2016 ) , Engelhardt et al. ( 2017 ) , and Trilling et al. ( 2017 ) suggest that LSST will increase the number of such rare objects by an order of magnitude, which, among other outcomes, will help constrain the frequency and properties of planetary system formation in the solar neighborhood.”
Quote in the paperNot yet classified0 of 3 sources checkedNot yet classified.
Interpretation§ 4.3. Exploring the Transient Optical Sky · p. 32LSST will enable large-scale studies of stellar tidal disruptions by nuclear supermassive black holes.
“Large-scale studies of stellar tidal disruptions by nuclear supermassive black holes ( e.g., Evans & Kochanek 1989; Gezari et al. 2008; Strubbe & Quataert 2009; Bloom et al. 2011; Gezari 2012; Komossa 2015 )”
Quote in the paperNot yet classified0 of 3 sources checked- cites Evans & Kochanek 1989
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- cites Gezari et al. 2008 source
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- cites Strubbe & Quataert 2009
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Premise§ 4.2. Taking an Inventory of the Solar System · p. 30Combining CN production rates from u-band observations with nonvolatile production rates from r, i, and z bands allows determination of the gas-to-dust ratio in comets.
“Combining the CN production rates determined from observations in the u bandpass, as a proxy for overall gas activity, with the nonvolatile production rate calculated from the continuum-sensitive r , i , and z bands allows for the determination of the gas-to-dust ratio.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.4. Mapping the Milky Way · p. 33LSST will obtain direct distance measurements via trigonometric parallax below the hydrogen-burning limit for a representative thin-disk sample.
“LSST will also obtain direct distance measurements via trigonometric parallax below the hydrogen-burning limit for a representative thin-disk sample.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.5. Additional Science Projects · p. 35LSST will enable studies of rest-frame UV emission to redshift about 2 for an unprecedentedly large number of galaxies.
“LSST will enable studies of the rest-frame UV emission, similar to those based on GALEX data for local galaxies, to a redshift of ∼ 2 for an unprecedentedly large number of galaxies.”
Quote in the paperNot yet classifiedMay combine two claims.
Interpretationnone given§ 7. Summary and Conclusions · p. 39The survey will generate raw data at roughly 15 TB per night, comparable to one complete SDSS survey per night.
“The survey will have a raw data rate of about 15 TB per night ( about the same as one complete SDSS per night )”
Quote in the paperNot a substantial claim- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Not yet classified.
Interpretation§ 4.5.1. Synergy with Other Projects · p. 36LSST will add new value to archives of billion-dollar-class space missions because deep optical multicolor data enable massive photometric studies of their sources.
“LSST will also add new value to the archives for billion-dollar-class space missions such as Chandra , XMM-Newton , Spitzer , Herschel , Euclid , and WFIRST , because deep optical multicolor data will enable massive photometric studies of sources from these missions.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.4. Mapping the Milky Way · p. 33Large populations of disk and halo white dwarfs will provide unprecedented constraints on their luminosity function, yielding independent ages for the Galactic disk and halo.
“These large populations of disk and halo white dwarfs will provide unprecedented constraints on the luminosity function of these stars, which will directly yield independent ages for the Galactic disk and halo”
Quote in the paperNot yet classified0 of 1 sources checked- cites Kalirai et al. 2008 source
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- Rests on an assumption: Over 97% of all stars eventually exhaust their fuel and cool to become white dwarfs.
Not yet classified.
Interpretation§ 4.5.1. Synergy with Other Projects · p. 35LSST will extend the Gaia survey by 4 magnitudes.
“LSST will extend the Gaia survey by 4 mag.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone given§ 5. Community Involvement · p. 36LSST's data management system will provide user-friendly tools to access the database, support user queries and data exploration, and carry out scientific analyses.
“The LSST data management system ( Section 3.3 ) will provide user-friendly tools to access this database, support user-initiated queries and data exploration, and carry out scienti fi c analyses on the data”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationnone given§ 7. Summary and Conclusions · p. 39The LSST survey will observe objects whose brightness changes or whose position moves on timescales between 10 seconds and 10 years.
“The LSST survey will open a movie-like window on objects that change brightness, or move, on timescales ranging from 10 s to 10 yr.”
Quote in the paperSubstantial claim- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone given§ 4.4. Mapping the Milky Way · p. 34LSST data will revolutionize studies of the Milky Way and the entire Local Group.
“In summary, the LSST data will revolutionize studies of the Milky Way and the entire Local Group.”
Quote in the paperNot a substantial claimNot yet classified.
Premise§ 7. Summary and Conclusions · p. 38The 2010 US decadal survey report 'New Worlds, New Horizons in Astronomy and Astrophysics' ranked LSST first among large ground-based programmes.
“The 2010 report ' New Worlds, New Horizons in Astronomy and Astrophysics ' by the Committee for a Decadal Survey of Astronomy and Astrophysics ranked LSST as its top priority for large ground-based programs.”
Quote in the paperNot yet classified0 of 1 sources checked- cites New Worlds, New Horizons in Astronomy and Astrophysics
Not checked in the free run.
Not yet classified.
Interpretation§ 4.5. Additional Science Projects · p. 35LSST data alone will yield 20 million AGNs, and up to about 100 million can be identified when multiwavelength data aid selection.
“yielding 20 million objects from LSST data alone, and the ability to identify up to ∼ 100 million objects once multiwavelength data are used to aid AGN selection”
Quote in the paperNot yet classified0 of 1 sources checked- cites Ivezić et al. 2014
Not checked in the free run.
Not yet classified.
Premise§ 5. Community Involvement · p. 36LSST's database and object catalogs will be available with no proprietary period to the US and Chilean scientific communities and to international partners contributing to operations funding.
“the database that it will produce, and the associated object catalogs that are generated from that database, will be made available with no proprietary period to the US and Chilean scienti fi c communities, as well as to those international partners who contribute to operations funding.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 5. Community Involvement · p. 37Many of the highest-priority LSST science investigations will require organized teams of professionals.
“many of the highest-priority LSST science investigations will require organized teams of professionals working together”
Quote in the paperNot yet classifiedMay combine two claims.
Premisecitation§ 4.5.1. Synergy with Other Projects · p. 35ZTF will generate the largest optical transient stream prior to LSST, at about one-tenth of the LSST rate.
“generate the largest optical transient stream prior to LSST ( at about 1 / 10 of the LSST rate )”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Laher et al. 2018 source
Not checked in the free run.
Not yet classified.
Interpretation§ 7. Summary and Conclusions · p. 39The relational database holding 32 trillion measurements of 40 billion objects will be searched for unexpected phenomena and used for precision experiments in astrophysics.
“The vast relational database of 32 trillion observations of 40 billion objects will be mined for the unexpected and used for precision experiments in astrophysics.”
Quote in the paperNot yet classified- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
May combine two claims.
Interpretationreasoning§ 7. Summary and Conclusions · p. 38Because LSST combines a large aperture with a wide field of view and the necessary computing and database capacity, it will image the sky fast, wide and deep at once, meeting the community's needs in both the time domain and the deep universe within a single survey.
“The LSST will be unique: the combination of large aperture and large fi eld of view, coupled with the needed computation power and database technology, will enable simultaneously fast and wide and deep imaging of the sky, addressing in one sky survey the broad scienti fi c community ' s needs in both the time domain and deep universe.”
Quote in the paperSubstantial claim- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Not yet classified.
Interpretation§ 4.4. Mapping the Milky Way · p. 34LSST will provide 2% or better accurate multicolor light curves for at least 50 million variable stars.
“2% or better accurate multicolor light curves will be available for a sample of at least 50 million variable stars”
Quote in the paperNot yet classified0 of 1 sources checked- cites Sesar et al. 2007 source
Not checked in the free run.
Not yet classified.
Interpretation§ 6. Educational and Societal Impacts · p. 38LSST will produce active galactic nuclei sky densities between 1000 and 4000 per square degree.
“The LSST will deliver AGN sky densities of 1000 -4000 deg -2 ( top panel ) .”
Quote in the paperNot yet classified0 of 1 sources checked- cites Brandt & LSST Active Galaxies Science Collaboration (2007)
Not checked in the free run.
- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ 4.5. Additional Science Projects · p. 35LSST will search for strong gravitational lenses to a faint surface brightness limit.
“Search for strong gravitational lenses to a faint surface brightness limit”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Bartelmann et al. 1998
Not checked in the free run.
- cites Tyson et al. 1998 source
Not checked in the free run.
- cites Belokurov et al. 2007a
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ 7. Summary and Conclusions · p. 39The survey will accumulate roughly 60 PB of data over its lifetime.
“will collect about 60 PB of data over its lifetime”
Quote in the paperNot a substantial claim- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Not yet classified.
Interpretation§ 7. Summary and Conclusions · p. 39Alerts about transient, variable and moving objects will be distributed worldwide within 60 seconds of detection.
“Alerts of transient, variable, and moving objects will be issued worldwide within 60 s of detection.”
Quote in the paperNot yet classified- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Not yet classified.
Interpretation§ 4.4. Mapping the Milky Way · p. 34LSST will uncover fainter remnant white dwarfs in open and globular clusters, providing a link to the properties of evolved stars in those systems.
“Fainter remnant white dwarfs will be uncovered in both open and globular clusters ( the nearest of which are all in the south ) , thereby providing a crucial link to the properties of the now evolved stars in each system.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.5. Additional Science Projects · p. 35LSST should discover several thousand AGNs at redshifts about 6 to 7.5.
“LSST should discover several thousand AGNs at z ∼ 6 -7.5”
Quote in the paperNot yet classified0 of 1 sources checked- cites Brandt & LSST Active Galaxies Science Collaboration 2007
Not checked in the free run.
Not yet classified.
Interpretation§ 6. Educational and Societal Impacts · p. 38The total number of active galactic nuclei LSST will yield, selected by colour and variability, should exceed ten million, and be even larger once multiwavelength data are used.
“The total LSST AGN yield, selected using colors and variability, should be well over 10 million objects, especially once multiwavelength data are also utilized.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Brandt & LSST Active Galaxies Science Collaboration (2007)
Not checked in the free run.
- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Not yet classified.
Interpretation§ 7. Summary and Conclusions · p. 39LSST will detect about 20 billion galaxies and a similar number of stars.
“About 20 billion galaxies and a similar number of stars will be detected”
Quote in the paperNot yet classified- Rests on an assumption: The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
Not yet classified.
Interpretation§ 4.4. Mapping the Milky Way · p. 33LSST will uncover the largest sample of stellar remnants to date.
“LSST will uncover the largest sample of stellar remnants to date.”
Quote in the paperNot yet classified- Rests on an assumption: Over 97% of all stars eventually exhaust their fuel and cool to become white dwarfs.
Not yet classified.
Interpretation§ 4.4. Mapping the Milky Way · p. 33No other existing or planned survey will provide as powerful a data set for outer halo studies as LSST, because Gaia is flux limited at r=20 and DES and Pan-STARRS lack u-band observations.
“No other existing or planned survey will provide such a powerful data set to study the outer halo: Gaia is fl ux limited at r = 20, and the DES ( Rossetto et al. 2011 ) and Pan-STARRS both lack observations in the u band”
Quote in the paperNot yet classified0 of 1 sources checked- cites Rossetto et al. 2011 source
Not checked in the free run.
Not yet classified.
Premise§ 4.4. Mapping the Milky Way · p. 34No systematic survey of stellar populations in southern hemisphere clusters has been performed to date.
“To date, no systematic survey of the stellar populations of southern hemisphere clusters has been performed”
Quote in the paperNot yet classified0 of 2 sources checked- cites Mathieu 2000
Not checked in the free run.
- cites Kalirai et al. 2001 source
Not checked in the free run.
Not yet classified.
Interpretation§ 6. Educational and Societal Impacts · p. 37LSST will contribute to national goals of enhancing science literacy and increasing the global competitiveness of the US science and technology workforce.
“LSST will contribute to the national goals of enhancing science literacy and increasing the global competitiveness of the US science and technology workforce.”
Quote in the paperNot yet classifiedProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ 7. Summary and Conclusions · p. 38Advances in telescope construction, detectors and information technology have driven large-scale sky surveys whose impact has been dramatic across astronomy, fundamental physics and society.
“This observational progress, based on a synergy of advances in telescope construction, detectors, and, above all, information technology, has had a dramatic impact on nearly all fi elds of astronomy, many areas of fundamental physics, and society in general.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ 4.5.1. Synergy with Other Projects · p. 36No other project matches the diversity of science enabled by LSST and its potential societal impact.
“While there are other projects that aim to address some of the same science goals, no other project matches this diversity and LSST ' s potential impact on society in general.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ 4.4. Mapping the Milky Way · p. 33LSST will provide photometric metallicity measurements for about 200 million main-sequence F/G stars, sampling the halo to 100 kpc over roughly 20,000 deg2.
“Photometric metallicity measurements ( see Figures 28 and 29 ) will be available for about 200 million main-sequence F / G stars, which will sample the halo to distances of 100 kpc ( Ivezi ć et al. 2008; An et al. 2013 ) over a solid angle of roughly 20,000 deg 2 .”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Ivezić et al. 2008 source
Not checked in the free run.
- cites An et al. 2013
Not checked in the free run.
Not yet classified.
Interpretation§ 5. Community Involvement · p. 37LSST will make substantial computational resources available to the science community for analyses.
“LSST will make available substantial computational resources to the science community to carry out their analyses”
Quote in the paperNot yet classifiedNot yet classified.
Premise§ 7. Summary and Conclusions · p. 38LSST draws on the experience of earlier surveys and serves the broad goals set out in several nationally endorsed US National Academy of Sciences reports.
“The LSST builds on the experience of these surveys and addresses the broad goals stated in several nationally endorsed reports by the US National Academy of Sciences.”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 5. Community Involvement · p. 36Many, perhaps even most, LSST discoveries will come from researchers outside the project, students, and interested amateurs.
“We expect that many, perhaps even the majority, of LSST discoveries will come from research astronomers with no formal af fi liation to the project, from students, and from interested amateurs”
Quote in the paperNot yet classifiedNot yet classified.
Interpretation§ 4.5. Additional Science Projects · p. 35LSST data will provide good constraints on AGN lifetimes or at least on the timescales of distinct accretion-state transitions.
“LSST data will provide good constraints on AGN lifetimes, or at least the timescales over which they make distinct accretion-state transitions”
Quote in the paperNot yet classified0 of 2 sources checked- cites MacLeod et al. 2016 source
Not checked in the free run.
- cites Martini & Schneider 2003
Not checked in the free run.
May combine two claims.
Interpretationnone given§ 4.4. Mapping the Milky Way · p. 33LSST in its standard surveying mode will detect RR Lyrae variables and classical novae at 400 kpc and explore the halo out to half the distance to Andromeda.
“The LSST in its standard surveying mode will be able to detect RR Lyrae variables ( pulsating stars and standard candles ) and classical novae ( exploding stars and standard candles ) at a distance of 400 kpc and hence explore the extent and structure of our halo out to half the distance to the Andromeda galaxy.”
Quote in the paperSubstantial claimNot yet classified.
Interpretation§ 4.5. Additional Science Projects · p. 35LSST will conduct the first wide-field survey of ultra-low-surface-brightness galaxies with photometric redshift information.
“The fi rst wide- fi eld survey of ultra-low-surface-brightness galaxies, with photometric redshift information.”
Quote in the paperNot yet classified0 of 1 sources checked- cites Greco et al. 2018 source
Not checked in the free run.
The paper relies on this without support.
The LSST construction will be completed and the survey will operate for the planned 10 years.
“The project is in the construction phase and will begin regular survey operations by 2022.”
“during the anticipated 10 yr of operations”
The paper relies on this without support.
The LSST system will achieve the specified design parameters (mirror, field of view, camera, filters) in operation.
“The telescope will have an 8.4 m ( 6.5 m effective ) primary mirror, a 9.6 deg 2 fi eld of view, a 3.2-gigapixel camera, and six fi lters ( ugrizy ) covering the wavelength range 320 -1050 nm.”
The paper relies on this without support.
The detailed WL simulations accurately represent future LSST performance.
“Detailed simulations of WL techniques show that imaging over ∼ 20,000 deg 2 to a 5 σ pointsource depth of r AB ∼ 27.5 gives adequate signal to measure shapes for of order 2 billion galaxies for WL.”
The paper relies on this without support.
The expected supernova flux distribution at dark-energy-relevant redshifts is known.
“Given the expected SN fl ux distribution at the redshifts where dark energy is important, the single-visit depth should be at least r ∼ 24.”
The paper relies on this without support.
The observing time allocation and survey cadence described will be implemented as planned.
“About 90% of the observing time will be devoted to a deep-wide-fast survey mode”
The authors state this as an assumption.
22% of the total observing time, corrected for weather and other losses, is allocated for the r band.
“It is assumed that 22% of the total observing time ( corrected for weather and other losses ) is allocated for the r band and that the ratio of the surveyed sky area to the fi eld-of-view area is 2000.”
The authors state this as an assumption.
The ratio of the surveyed sky area to the field-of-view area is 2000.
“It is assumed that 22% of the total observing time ( corrected for weather and other losses ) is allocated for the r band and that the ratio of the surveyed sky area to the fi eld-of-view area is 2000.”
The authors state this as an assumption.
Two visits per night are assumed.
“where two visits per night are assumed ( required for ef fi cient detection of solar system objects; see below ) and the losses for realistic observing conditions have been taken into account ( with the aid of the Operations Simulator described below ) .”
The authors state this as an assumption.
Uniform cadence is assumed for the mean revisit time.
“The mean revisit time ( assuming uniform cadence ) for a given position on the sky, n , scales as”
The authors state this as an assumption.
Astrometric accuracy of 10 mas per observation per coordinate is assumed.
“To achieve the required proper-motion and parallax accuracy with an assumed astrometric accuracy of 10 mas per observation per coordinate, approximately 1000 separate observations are required.”
The authors state this as an assumption.
An air mass of 1.2 is assumed for atmospheric transmission in Figure 4.
“The computation includes the atmospheric transmission ( assuming an air mass of 1.2; dotted line ) , optics, and the detector sensitivity.”
The authors state this as an assumption.
The outer scale parameter of 30 m over an 8.4 m aperture is used for DIMM correction.
“Image quality distribution measured at the Cerro Pachón site using a differential image motion monitor ( DIMM ) at λ = 500 nm, and corrected using an outer scale parameter of 30 m over an 8.4 m aperture.”
The authors state this as an assumption.
The survey lifetime T is about 10 years.
“The requirement N visit > 800 again implies that n < 4 and t vis < 40 s if the survey lifetime, T , is about 10 yr.”
The authors state this as an assumption.
Each galaxy in the quasar/AGN simulation hosts at most one AGN.
“Each galaxy hosts at most one AGN, and no explicit distinction is made between low-luminosity AGNs and quasars that dramatically outshine their host galaxies.”
The authors state this as an assumption.
The simulation does not explicitly distinguish between low-luminosity AGNs and quasars that dramatically outshine their host galaxies.
“Each galaxy hosts at most one AGN, and no explicit distinction is made between low-luminosity AGNs and quasars that dramatically outshine their host galaxies.”
The authors state this as an assumption.
All potentially hazardous asteroids are assumed to be C-type asteroids.
“assuming that all PHAs are C-type asteroids”
The authors state this as an assumption.
Systematic astrometric errors of 10 mas are assumed to be uncorrelated between different observations of a given object.
“Systematic errors of 10 mas are added in quadrature and are assumed to be uncorrelated between different observations of a given object.”
The authors state this as an assumption.
The gravitational wave detector network will be operating well.
“Assuming that the gravitational wave network is working well, Scolnic et al. ( 2018 ) estimate that LSST could fi nd of order 70 electromagnetic counterparts to standard sirens.”
The paper relies on this without support.
Known templates for galaxy spectral energy distributions are available for photometric redshift estimation.
“This number represents a requirement on the accuracy of the photometry at delivering photometric redshifts given known templates for the SEDs.”
The paper relies on this without support.
Over 97% of all stars eventually exhaust their fuel and cool to become white dwarfs.
“Over 97% of all stars eventually exhaust their fuel and cool to become white dwarfs.”
The paper relies on this without support.
Different candidate supersymmetric particle dark matter models predict different mass clustering on small scales and different subhalo mass functions for the Milky Way.
“different candidate supersymmetric particle dark matter models predict different mass clustering on small scales, and thus different mass functions for subhalos of the Milky Way.”
The paper relies on this without support.
Experience with large surveys shows that much of their most interesting science is often unrelated to the main science drivers and is often unanticipated at design time.
“The experience with any large survey ( e.g., SDSS, 2MASS, VISTA, WISE , GALEX , to name but a few ) is that much of their most interesting science is often unrelated to the main science drivers and is often unanticipated at the time the survey is designed.”
The paper relies on this without support.
The LSST project will be constructed and will operate as designed, so that the projected survey properties (data rates, cadence, yields and alert latency) will be realised.
“The telescope will see fi rst light with a commissioning camera in late 2019, and the project is scheduled to begin regular survey operations by 2022.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
LSST is predicted to output over 500 petabytes of imaging data including billions of galaxies.
“with LSST predicted to output over 500 petabytes of imaging data including billions of galaxies (Ivezić et al. 2019).”
From Detecting galaxy tidal features using self-supervised representation learning (2024) · cites this paper as Ivezić et al. 2019
The Summary and Conclusions (p. 39) predicts about 20 billion galaxies, supporting that part of the claim. But it predicts about 60 PB of data over the survey’s lifetime, not over 500 PB of imaging data. (LLM, conf=0.89)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Air-mass limit reverses the stated effect on survey depth
MinorThe text says the survey avoids air masses below 1.5 because they would deteriorate depth, but Table 2's note says depth worsens at larger air mass. These statements give opposite directions for the effect of air mass on depth.
“determined by the requirement to avoid air masses less than 1.5, which would substantially deteriorate the image quality and the survey depth”
“For larger air mass the 5 σ depth is brighter; see the bottom row.”
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Self-citationImproved Cosmological Constraints from New, Old, and Combined Supernova Data Sets
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Self-citationFIRST RESULTS FROM THE CATALINA REAL-TIME TRANSIENT SURVEY
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Self-citationProgenitors of Core-Collapse Supernovae
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“There are many projects that LSST data products will enable: • Detection and measurement of gamma-ray burst afterglows and transients (e.g., Zhang & Mészáros 2004; Zhang et al. 2006; Kann et al. 2010) to high redshift (∼7.5).”
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Tracing Galaxy Formation with Stellar Halos. I. Methods
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Self-citationA Population of Fast Radio Bursts at Cosmological Distances
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Mass Loss: Its Effect on the Evolution and Fate of High-Mass Stars
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Self-citationThe MACHO Project: Microlensing Results from 5.7 Years of Large Magellanic Cloud Observations
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Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Quasar Sample
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Self-citationThe Ensemble Properties of Comets: Results from Narrowband Photometry of 85 Comets, 1976-1992
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An extension of the Bus asteroid taxonomy into the near-infrared
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Self-citationAstrometric Calibration of the Sloan Digital Sky Survey
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Self-citationIMPROVED DARK ENERGY CONSTRAINTS FROM ∼100 NEW CfA SUPERNOVA TYPE Ia LIGHT CURVES
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Self-citationProbing Dark Energy with Baryonic Acoustic Oscillations from Future Large Galaxy Redshift Surveys
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GAMMA-RAY BURSTS: PROGRESS, PROBLEMS & PROSPECTS
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Self-citationGalaxy Zoo 1: data release of morphological classifications for nearly 900 000 galaxies★
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Self-citationExtragalactic science, cosmology, and Galactic archaeology with the Subaru Prime Focus Spectrograph
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Self-citationMODELING THE TIME VARIABILITY OF SDSS STRIPE 82 QUASARS AS A DAMPED RANDOM WALK
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Self-citationPan-STARRS: A Large Synoptic Survey Telescope Array
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An Infrared Spectroscopic Sequence of M, L, and T Dwarfs
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The James Webb Space Telescope
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Self-citationTwo stellar components in the halo of the Milky Way
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Direct Detection of Cold Dark Matter Substructure
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Cosmology with cosmic shear observations: a review
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Self-citationGalactic stellar haloes in the CDM model
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An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
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Self-citationThe tidal disruption of a star by a massive black hole
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The Milky Way Tomography with SDSS. II. Stellar Metallicity
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Self-citationHyper Suprime-Cam: System design and verification of image quality
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Self-citationThe Hyper Suprime-Cam software pipeline
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Self-citationThe SkyMapper Telescope and The Southern Sky Survey
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Probing Dark Energy Using Baryonic Oscillations in the Galaxy Power Spectrum as a Cosmological Ruler
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Optical flares from the tidal disruption of stars by massive black holes
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WHAT IS THE MOST PROMISING ELECTROMAGNETIC COUNTERPART OF A NEUTRON STAR BINARY MERGER?
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Self-citationThe Pan-STARRS wide-field optical/NIR imaging survey
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Extending the MACHO search to about 10 exp 6 solar masses
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Cold dark matter: Controversies on small scales
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Self-citationThe Ensemble Photometric Variability of ∼25,000 Quasars in the Sloan Digital Sky Survey
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Self-citationDeep Extragalactic X-Ray Surveys
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Self-citationA Population of Comets in the Main Asteroid Belt
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An ultraviolet–optical flare from the tidal disruption of a helium-rich stellar core
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Self-citationSample Variance Considerations for Cluster Surveys
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Solar System Objects Observed in the Sloan Digital Sky Survey Commissioning Data
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Self-citationPhotometric Calibration of Hydrogen- and Helium-Rich White Dwarf Models
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“• Time delays of galaxy-scale lensed quasars will allow one to measure Hubble’s constant (e.g. Suyu et al. 2010) in hundreds or thousands of systems; subpercent level precision in H(z) should be achievable (Coe & Moustakas 2009), providing a further independent dark energy probe.”
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Self-citationReverberation Mapping of High‐Luminosity Quasars: First Results
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Hungary rewards highly cited scientists with bonus grants
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Gravitationally lensed quasars and supernovae in future wide-field optical imaging surveys
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Self-citationGalSim: The modular galaxy image simulation toolkit
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Self-citationEvidence for a Distant Giant Planet in the Solar System
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Self-citationPreparing Red‐Green‐Blue Images from CCD Data
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Fast and Slow Rotation of Asteroids
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Self-citationThe Size Distribution of Trans-Neptunian Bodies
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Self-citationSystematic errors in future weak-lensing surveys: requirements and prospects for self-calibration
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Self-citationWeak Lensing for Precision Cosmology
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THE INVISIBLES: A DETECTION ALGORITHM TO TRACE THE FAINTEST MILKY WAY SATELLITES
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Multi-color Optical and NIR Light Curves of 64 Stripped-Envelope Core-Collapse SupernovaePreprint
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Marvin: A Tool Kit for Streamlined Access and Visualization of the SDSS-IV MaNGA Data Set
Cherinka, B., Andrews, B. H., Sánchez-Gallego, J. R., Brownstein, J. R., Argudo–Fernández, M., Blanton, M., Bundy, K., Jones, A., Masters, K. L., Law, D. R., et al. (2019) · The Astronomical Journal · doi:10.3847/1538-3881/ab2634 · Cited by 203 · see citing works
Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology
Sevilla-Noarbe, I., Bechtol, K., Kind, M. C., Rosell, A. C., Becker, M. R., Drlica-Wagner, A., Gruendl, R. A., Rykoff, E. S., Sheldon, E. S., Yanny, B., et al. (2021) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/abeb66 · Cited by 203 · see citing works
Self-citationNadler, E. O., Wechsler, R. H., Bechtol, K., Mao, Y.-Y., Green, G. M., Drlica-Wagner, A., McNanna, M., Mau, S., Pace, A. B., Simon, J. D., et al. (2020) · The Astrophysical Journal · doi:10.3847/1538-4357/ab846a · Cited by 197 · see citing works
Self-citationKiDS-450: The tomographic weak lensing power spectrum and constraints on cosmological parameters
Köhlinger, F., Viola, M., Joachimi, B., Hoekstra, H., van Uitert, E., Hildebrandt, H., Choi, A., Erben, T., Heymans, C., Joudaki, S., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx1820 · Cited by 189 · see citing works
Harikane, Y., Ono, Y., Ouchi, M., Liu, C., Sawicki, M., Shibuya, T., Behroozi, P., He, W., Shimasaku, K., Arnouts, S., et al. (2022) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/ac3dfc · Cited by 200 · see citing works
Fitting AGN/Galaxy X-Ray-to-radio SEDs with CIGALE and Improvement of the Code
Yang, G., Boquien, M., Brandt, W. N., Buat, V., Burgarella, D., Ciesla, L., Lehmer, B. D., Małek, K., Mountrichas, G., Papovich, C., et al. (2022) · The Astrophysical Journal · doi:10.3847/1538-4357/ac4971 · Cited by 200 · see citing works
Self-citationChanging-look active galactic nuclei
Ricci, C., & Trakhtenbrot, B. (2023) · Nature Astronomy · doi:10.1038/s41550-023-02108-4 · Cited by 200 · see citing works
Woods, T. E., Agarwal, B., Bromm, V., Bunker, A. J., Chen, K.-J., Chon, S., Ferrara, A., Glover, S. C. O., Haemmerlé, L., Haiman, Z., et al. (2019) · Publications of the Astronomical Society of Australia · doi:10.1017/pasa.2019.14 · Cited by 196 · see citing works
Inflation physics from the cosmic microwave background and large scale structure
Abazajian, K. N., Arnold, K., Austermann, J. E., Benson, B. A., Bischoff, C. A., Bock, J. J., Bond, J. R., Borrill, J., Buder, I., Burke, D. L., et al. (2014) · Astroparticle Physics · doi:10.1016/j.astropartphys.2014.05.013 · Cited by 192 · see citing works
Self-citationSimulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints
Hounsell, R., Scolnic, D. M., Foley, R. J., Kessler, R., Miranda, V., Avelino, A., Bohlin, R. C., Filippenko, A. V., Frieman, J. A., Jha, S. W., et al. (2018) · The Astrophysical Journal · doi:10.3847/1538-4357/aac08b · Cited by 190 · see citing works
Self-citationlenstronomy II: A gravitational lensing software ecosystem
Birrer, S., Shajib, A. J., Gilman, D., Galan, A., Aalbers, J., Millon, M., Morgan, R., Pagano, G., Park, J. W., Teodori, L., et al. (2021) · The Journal of Open Source Software · doi:10.21105/joss.03283 · Cited by 191 · see citing works
Neutrino Mass Ordering from Oscillations and Beyond: 2018 Status and Future Prospects
de Salas, P. F., Gariazzo, S., Mena, O., Ternes, C. A., & Tórtola, M. (2018) · Frontiers in Astronomy and Space Sciences · doi:10.3389/fspas.2018.00036 · Cited by 188 · see citing works
Bulla, M. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2495 · Cited by 188 · see citing works
Target Selection and Validation of DESI Emission Line Galaxies
Raichoor, A., Moustakas, J., Newman, J. A., Karim, T., Ahlen, S. P., Alam, S., Bailey, S., Brooks, D., Dawson, K., de la Macorra, A., et al. (2023) · The Astronomical Journal · doi:10.3847/1538-3881/acb213 · Cited by 187 · see citing works
Self-citationChisari, N. E., Richardson, M. L. A., Devriendt, J., Dubois, Y., Schneider, A., Brun, A. M. C. L., Beckmann, R. S., Peirani, S., Slyz, A. D., & Pichon, C. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty2093 · Cited by 186 · see citing works
Brout, D., & Scolnic, D. M. (2021) · The Astrophysical Journal · doi:10.3847/1538-4357/abd69b · Cited by 186 · see citing works
Constraints on the ejecta of the GW170817 neutron star merger from its electromagnetic emission
Eli Waxman, B., Ofek, E. O., Kushnir, D., & Gal‐Yam, A. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/sty2441 · Cited by 184 · see citing works
Perley, D. A., Fremling, C., Sollerman, J., Miller, A. A., Dahiwale, A., Sharma, Y., Bellm, E. C., Biswas, R., Brink, T. G., Bruch, R., et al. (2020) · Liverpool John Moores University · Cited by 181 · see citing works
Self-citationCOSMOS2015 photometric redshifts probe the impact of filaments on galaxy properties
Laigle, C., Pichon, C., Arnouts, S., McCracken, H. J., Dubois, Y., Devriendt, J., Slyz, A. D., Borgne, D. L., Benoit-Lévy, A., Hwang, H. S., et al. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx3055 · Cited by 180 · see citing works
Arbitrating the S 8 discrepancy with growth rate measurements from redshift-space distortions
Nunes, R. C., & Vagnozzi, S. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab1613 · Cited by 179 · see citing works
Weisz, D. R., Dolphin, A. E., Skillman, E. D., Holtzman, J. A., Gilbert, K. M., Dalcanton, J. J., & Williams, B. F. (2014) · The Astrophysical Journal · doi:10.1088/0004-637x/789/2/148 · Cited by 181 · see citing works
Coughlin, J. L., Mullally, F. R., Thompson, S. E., Rowe, J. F., Burke, C. J., Latham, D. W., Batalha, N. M., Ofir, A., Quarles, B., Henze, C. E., et al. (2016) · Civil War Book Review · Cited by 178 · see citing works
Self-citationPredicting the LISA white dwarf binary population in the Milky Way with cosmological simulations
Lamberts, A., Blunt, S. C., Littenberg, T. B., Garrison-Kimmel, S., Kupfer, T., & Sanderson, R. E. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2834 · Cited by 177 · see citing works
Large-scale dark matter simulations
Angulo, R., & Hahn, O. (2021) · Living Reviews in Computational Astrophysics · doi:10.1007/s41115-021-00013-z · Cited by 119 · see citing works
Mancini, A. S., Piras, D., Alsing, J., Joachimi, B., & Hobson, M. (2022) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stac064 · Cited by 176 · see citing works
Optical discovery of probable stellar tidal disruption flares
van Velzen, S., Farrar, G. R., Gezari, S., Morrell, N., Zaritsky, D., Östman, L., Smith, M., Gelfand, J., & Drake, A. J. (2010) · Open University of Cape Town (University of Cape Town) · doi:10.48550/arxiv.1009.1627 · Cited by 175 · see citing works
THE DIFFERENCE IMAGING PIPELINE FOR THE TRANSIENT SEARCH IN THE DARK ENERGY SURVEY
Kessler, R., Marriner, J. P., Childress, M. J., Covarrubias, R., D’Andrea, C. B., Finley, D. A., Fischer, J., Foley, R. J., Goldstein, D. A., Gupta, R. R., et al. (2015) · The Astronomical Journal · doi:10.1088/0004-6256/150/6/172 · Cited by 173 · see citing works
Self-citationSesar, B., Jurić, M., & Ivezić, Ž. (2011) · The Astrophysical Journal · doi:10.1088/0004-637x/731/1/4 · Cited by 171 · see citing works
Self-citationMachine-learned Identification of RR Lyrae Stars from Sparse, Multi-band Data: The PS1 Sample
Sesar, B., Hernitschek, N., Mitrović, S., Ivezić, Ž., Rix, H.-W., Cohen, J. G., Bernard, E. J., Grebel, E. K., Martin, N. F., Schlafly, E. F., et al. (2017) · The Astronomical Journal · doi:10.3847/1538-3881/aa661b · Cited by 168 · see citing works
Self-citationvan Daalen, M. P., McCarthy, I. G., & Schaye, J. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz3199 · Cited by 168 · see citing works
- Authors
- Ivezić, Ž., Kahn, S. M., Tyson, J. A., Abel, B., Acosta, E., Allsman, R., Alonso, D., AlSayyad, Y., Anderson, S. F., Andrew, J., P. Angel, J. R., Angeli, G. Z., Ansari, R., Antilogus, P., Araujo, C., Armstrong, R., Arndt, K. T., Astier, P., Aubourg, É., Auza, N., Axelrod, T. S., Bard, D. J., Barr, J. D., Barrau, A., Bartlett, J. G., Bauer, A. E., Bauman, B. J., Baumont, S., Bechtol, E., Bechtol, K., Becker, A. C., Becla, J., Beldica, C., Bellavia, S., Bianco, F. B., Biswas, R., Blanc, G., Blazek, J., Blandford, R. D., Bloom, J. S., Bogart, J., Bond, T. W., Booth, M. T., Borgland, A. W., Borne, K., Bosch, J. F., Boutigny, D., Brackett, C. A., Bradshaw, A., Brandt, W. N., Brown, M. E., Bullock, J. S., Burchat, P., Burke, D. L., Cagnoli, G., Calabrese, D., Callahan, S., Callen, A. L., Carlin, J. L., Carlson, E. L., Chandrasekharan, S., Charles-Emerson, G., Chesley, S., Cheu, E. C., Chiang, H.-F., Chiang, J., Chirino, C., Chow, D., Ciardi, D. R., Claver, C. F., Cohen-Tanugi, J., Cockrum, J. J., Coles, R., Connolly, A. J., Cook, K. H., Cooray, A., Covey, K. R., Cribbs, C., Cui, W., Cutri, R., Daly, P. N., Daniel, S. F., Daruich, F., Daubard, G., Daues, G., Dawson, W., Delgado, F., Dellapenna, A., Peyster, R. D., Val-Borro, M. D., Digel, S. W., Doherty, P., Dubois, R., Dubois-Felsmann, G. P., Durech, J., Economou, F., Eifler, T., Eracleous, M., Emmons, B. L., Neto, A. F., Ferguson, H., Figueroa, E., Fisher-Levine, M., Focke, W., Foss, M. D., Frank, J., Freemon, M. D., Gangler, E., Gawiser, E., Geary, J. C., Gee, P., Geha, M., Gessner, C. J. B., Gibson, R. R., Gilmore, D. K., Glanzman, T., Glick, W., Goldina, T., Goldstein, D. A., Goodenow, I., Graham, M. L., Gressler, W. J., Gris, P., Guy, L. P., Guyonnet, A., Haller, G., Harris, R., Hascall, P. A., Haupt, J., Hernandez, F., Herrmann, S., Hileman, E., Hoblitt, J., Hodgson, J. A., Hogan, C., Howard, J. D., Huang, D., Huffer, M. E., Ingraham, P., Innes, W. R., Jacoby, S. H., Jain, B., Jammes, F., Jee, M. J., Jenness, T., Jernigan, G., Jevremović, D., Johns, K., Johnson, A. S., Johnson, M. W. G., Jones, R. L., Juramy-Gilles, C., Jurić, M., Kalirai, J. S., Kallivayalil, N. J., Kalmbach, B., Kantor, J. P., Karst, P., Kasliwal, M. M., Kelly, H., Kessler, R., Kinnison, V., Kirkby, D., Knox, L., Kotov, I. V., Krabbendam, V. L., Krughoff, K. S., Kubánek, P., Kuczewski, J., Kulkarni, S., Ku, J., Kurita, N. R., Lage, C. S., Lambert, R., Lange, T., Langton, J. B., Guillou, L. L., Levine, D., Liang, M., Lim, K.-T., Lintott, C. J., Long, K. E., Lopez, M., Lotz, P. J., Lupton, R. H., Lust, N. B., MacArthur, L. A., Mahabal, A., Mandelbaum, R., Markiewicz, T. W., Marsh, D. S., Marshall, P. J., Marshall, S., May, M., McKercher, R., McQueen, M., Meyers, J., Migliore, M., Miller, M., Mills, D. J., Miraval, C., Moeyens, J., Moolekamp, F. E., Monet, D. G., Moniez, M., Monkewitz, S., Montgomery, C., Morrison, C. B., Mueller, F., Muller, G. P., Arancibia, F. M., Neill, D. R., Newbry, S. P., Nief, J.-Y., Nomerotski, A., Nordby, M., O’Connor, P., Oliver, J., Olivier, S. S., Olsen, K., O’Mullane, W., Ortiz, S., Osier, S., Owen, R. E., Pain, R., Palecek, P. E., Parejko, J. K., Parsons, J. B., Pease, N. M., Peterson, J. M., Peterson, J. R., Petravick, D. L., Petrick, M. E. L., Petry, C. E., Pierfederici, F., Pietrowicz, S., Pike, R., Pinto, P. A., Plante, R., Plate, S., Plutchak, J. P., Price, P. A., Prouza, M., Radeka, V., Rajagopal, J., Rasmussen, A. P., Regnault, N., Reil, K. A., Reiss, D. J., Reuter, M. A., Ridgway, S. T., Riot, V. J., Ritz, S., Robinson, S., Roby, W., Roodman, A., Rosing, W., Roucelle, C., Rumore, M. R., Russo, S., Saha, A., Sassolas, B., Schalk, T. L., Schellart, P., Schindler, R. H., Schmidt, S., Schneider, D. P., Schneider, M. D., Schoening, W., Schumacher, G., Schwamb, M. E., Sebag, J., Selvy, B., Sembroski, G. H., Seppala, L. G., Serio, A., Serrano, E., Shaw, R. A., Shipsey, I., Sick, J., Silvestri, N., Slater, C. T., Smith, J. A., Smith, R. C., Sobhani, S., Soldahl, C., Storrie-Lombardi, L., Stover, E., Strauss, M. A., Street, R. A., Stubbs, C. W., Sullivan, I. S., Sweeney, D., Swinbank, J. D., Szalay, A., Takacs, P., Tether, S. A., Thaler, J. J., Thayer, J. G., Thomas, S., Thornton, A. J., Thukral, V., Tice, J., Trilling, D. E., Turri, M., Berg, R. V., Berk, D. V., Vetter, K., Virieux, F., Vucina, T., Wahl, W., Walkowicz, L., Walsh, B., Walter, C. W., Wang, D. L., Wang, S.-Y., Warner, M., Wiecha, O., Willman, B., Winters, S. E., Wittman, D., Wolff, S. C., Wood-Vasey, W. M., Wu, X., Xin, B., Yoachim, P., & Zhan, H.
- Affiliations
- University of Washington (US)
- SLAC National Accelerator Laboratory (US)
- University of California, Davis (US)
- Olympic College (US)
- Large Synoptic Survey Telescope Corporation (US)
- University of Oxford (GB)
- Princeton University (US)
- Université Paris-Sud (FR)
- Centre National de la Recherche Scientifique (FR)
- University of Arizona (US)
- Lawrence Livermore National Laboratory (US)
- University of Wisconsin–Madison (US)
- University of Illinois Urbana-Champaign (US)
- Brookhaven National Laboratory (US)
- New York University (US)
- Stockholm University (SE)
- École Polytechnique Fédérale de Lausanne (CH)
- University of California, Berkeley (US)
- George Mason University (US)
- Pennsylvania State University (US)
- California Institute of Technology (US)
- University of California, Irvine (US)
- The Ohio State University (US)
- Western Washington University (US)
- Purdue University West Lafayette (US)
- Harvard University (US)
- Space Telescope Science Institute (US)
- Rutgers, The State University of New Jersey (US)
- Smithsonian Astrophysical Observatory (US)
- Yale University (US)
- Lawrence Berkeley National Laboratory (US)
- University of Chicago (US)
- University of Pennsylvania (US)
- Yonsei University (KR)
- Astronomical Observatory (RS)
- University of Virginia (US)
- Czech Academy of Sciences (CZ)
- Institut Photovoltaïque d’Île-de-France (FR)
- Carnegie Mellon University (US)
- Rider University (US)
- U.S. Naval Observatory Flagstaff Station (US)
- Instituto de Radioastronomía Milimétrica (ES)
- Google (United States) (US)
- University of California, Santa Cruz (US)
- Las Cumbres Observatory Global Telescope Network (US)
- Radboud University Nijmegen (NL)
- International Gemini Observatory (US)
- Austin Peay State University (US)
- Cerro Tololo Inter-American Observatory (CL)
- Bellingham Technical College (US)
- Johns Hopkins University (US)
- Northern Arizona University (US)
- Saint Vincent College (US)
- Library of Congress (US)
- Duke University (US)
- University of Pittsburgh (US)
- Chinese Academy of Sciences (CN)
- ORCID
- Ivezić, Željko
- Kahn, Steven M.
- Tyson, J. Anthony
- AlSayyad, Yusra
- Ansari, Reza
- Antilogus, Pierre
- Armstrong, Robert
- Arndt, Kirk T.
- Aubourg, Éric
- Axelrod, Tim S.
- Bard, Deborah J.
- Bauer, Amanda E.
- Bechtol, Keith
- Becker, Andrew C.
- Bianco, Federica B.
- Blanc, Guillaume
- Blazek, Jonathan
- Blandford, Roger D.
- Bogart, Joanne
- Bosch, James F.
- Boutigny, Dominique
- Bradshaw, Andrew
- Brandt, William Nielsen
- Brown, Michael E.
- Bullock, James S.
- Burchat, Patricia
- Burke, David L.
- Carlin, Jeffrey L.
- Chesley, Steve
- Chiang, Hsin-Fang
- Chiang, James
- Ciardi, David R.
- Cohen-Tanugi, Johann
- Coles, Rebecca
- Connolly, Andrew J.
- Cook, Kem H.
- Cooray, Asantha
- Covey, Kevin R.
- Cui, Wei
- Cutri, Roc
- Daruich, Felipe
- Daubard, Guillaume
- Dawson, William
- Val-Borro, Miguel de
- Digel, Seth W.
- Dubois-Felsmann, Gregory P.
- Economou, Frossie
- Eracleous, Michael
- Neto, Angelo Fausti
- Ferguson, Henry
- Fisher-Levine, Merlin
- Gangler, Emmanuel
- Gawiser, Eric
- Geha, Marla
- Glanzman, Thomas
- Goldstein, Daniel A.
- Graham, Melissa L.
- Guy, Leanne P.
- Guyonnet, Augustin
- Haller, Gunther
- Hernandez, Fabio
- Hoblitt, Joshua
- Ingraham, Patrick
- Innes, Walter R.
- Jenness, Tim
- Johns, Kenneth
- Johnson, Anthony S.
- Jones, R. Lynne
- Jurić, Mario
- Kallivayalil, Nitya J.
- Kalmbach, Bryce
- Kasliwal, Mansi M.
- Kelly, Heather
- Kessler, Richard
- Kirkby, David
- Krughoff, K. Simon
- Kubánek, Petr
- Kulkarni, Shri
- Kurita, Nadine R.
- Lage, Craig S.
- Lange, Travis
- Guillou, Laurent Le
- Lim, Kian-Tat
- Lintott, Chris J.
- Lopez, Margaux
- Lupton, Robert H.
- Lust, Nate B.
- Mandelbaum, Rachel
- Markiewicz, Thomas W.
- Marshall, Philip J.
- Marshall, Stuart
- Meyers, Joshua
- Moeyens, Joachim
- Moolekamp, Fred E.
- Moniez, Marc
- Mueller, Fritz
- Nomerotski, Andrei
- Olsen, Knut
- O’Mullane, William
- Pain, Reynald
- Parejko, John K.
- Pease, Nathan M.
- Peterson, J. Matt
- Peterson, John R.
- Petravick, Donald L.
- Plutchak, Joel P.
- Radeka, Veljko
- Rasmussen, Andrew P.
- Regnault, Nicolas
- Reil, Kevin A.
- Reuter, Michael A.
- Ridgway, Stephen T.
- Riot, Vincent J.
- Roodman, Aaron
- Saha, Abhijit
- Sassolas, Benoit
- Schellart, Pim
- Schindler, Rafe H.
- Schmidt, Samuel
- Schneider, Michael D.
- Schwamb, Megan E.
- Sebag, Jacques
- Serio, Andrew
- Sick, Jonathan
- Slater, Colin T.
- Strauss, Michael A.
- Street, Rachel A.
- Stubbs, Christopher W.
- Sullivan, Ian S.
- Swinbank, John D.
- Szalay, Alexander
- Takacs, Peter
- Thaler, Jon J.
- Thayer, John Gregg
- Thomas, Sandrine
- Thornton, Adam J.
- Trilling, David E.
- Turri, Max
- Vetter, Kurt
- Walkowicz, Lucianne
- Walsh, Brian
- Walter, Christopher W.
- Willman, Beth
- Wittman, David
- Wood-Vasey, W. Michael
- Xin, Bo
- Yoachim, Peter
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2019-03-10
- Volume
- 873
- Issue
- 2
- Pages
- 111
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2159714423
- Semantic Scholar
- 8e981ddb4877615f7d5f944a8d64789d1388ee87
- Cited by
- 4,357
- References
- 353
- Citations by year
- 2026: 566 · 2025: 730 · 2024: 681 · 2023: 487 · 2022: 466 · 2021: 405 · 2020: 289 · 2019: 204 · 2018: 114 · 2017: 76 · 2016: 78 · 2015: 58 · 2014: 56 · 2013: 30 · 2012: 40
- FWCI
- 275.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Astrophysical Journal (publishedVersion)
- UA Campus Repository (The University of Arizona) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- HAL (submittedVersion, cc-by)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Radboud Repository (Radboud University) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- National Science Foundation (1258333)
- Department of Energy (DE-AC02-76SF00515)
- Topics
- Physical Sciences › Physics and Astronomy › Instrumentation › Astronomy and Astrophysical Research
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Stellar, planetary, and galactic studies
- Keywords
- LSST, wide-field optical survey, dark energy, dark matter, time-domain surveys, Cerro Pachón
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-08.
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