Cited by 4,357Astronomy and Astrophysical ResearchGalaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

The DOI matches its Crossref record; 353 of the 353 references it cites were found in a registry or an index; none of the 186 sources its claims cite is checked for support yet.

LSST: From Science Drivers to Reference Design and Anticipated Data Products

Open access
Ivezić, Željko, Kahn, Steven M., Tyson, J. Anthony, Abel, Bob, Acosta, Emily, Allsman, Robyn, Alonso, David, AlSayyad, Yusra, Anderson, Scott F., Andrew, John, P. Angel, James Roger, Angeli, George Z., Ansari, Reza, Antilogus, Pierre, Araujo, Constanza, Armstrong, Robert, Arndt, Kirk T., Astier, Pierre, Aubourg, Éric, Auza, Nicole, Axelrod, Tim S., Bard, Deborah J., Barr, Jeff D., Barrau, Aurelian, Bartlett, James G., Bauer, Amanda E., Bauman, Brian J., Baumont, Sylvain, Bechtol, Ellen, Bechtol, Keith, Becker, Andrew C., Becla, Jacek, Beldica, Cristina, Bellavia, Steve, Bianco, Federica B., Biswas, Rahul, Blanc, Guillaume, Blazek, Jonathan, Blandford, Roger D., Bloom, Josh S., Bogart, Joanne, Bond, Tim W., Booth, Michael T., Borgland, Anders W., Borne, Kirk, Bosch, James F., Boutigny, Dominique, Brackett, Craig A., Bradshaw, Andrew, Brandt, William Nielsen, Brown, Michael E., Bullock, James S., Burchat, Patricia, Burke, David L., Cagnoli, Gianpietro, Calabrese, Daniel, Callahan, Shawn, Callen, Alice L., Carlin, Jeffrey L., Carlson, Erin L., Chandrasekharan, Srinivasan, Charles-Emerson, Glenaver, Chesley, Steve, Cheu, Elliott C., Chiang, Hsin-Fang, Chiang, James, Chirino, Carol, Chow, Derek, Ciardi, David R., Claver, Charles F., Cohen-Tanugi, Johann, Cockrum, Joseph J., Coles, Rebecca, Connolly, Andrew J., Cook, Kem H., Cooray, Asantha, Covey, Kevin R., Cribbs, Chris, Cui, Wei, Cutri, Roc, Daly, Philip N., Daniel, Scott F., Daruich, Felipe, Daubard, Guillaume, Daues, Greg, Dawson, William, Delgado, Francisco, Dellapenna, Alfred, Peyster, Robert de, Val-Borro, Miguel de, Digel, Seth W., Doherty, Peter, Dubois, Richard, Dubois-Felsmann, Gregory P., Durech, Josef, Economou, Frossie, Eifler, Tim, Eracleous, Michael, Emmons, Benjamin L., Neto, Angelo Fausti, Ferguson, Henry, Figueroa, Enrique, Fisher-Levine, Merlin, Focke, Warren, Foss, Michael D., Frank, James, Freemon, Michael D., Gangler, Emmanuel, Gawiser, Eric, Geary, John C., Gee, Perry, Geha, Marla, Gessner, Charles J. B., Gibson, Robert R., Gilmore, D. Kirk, Glanzman, Thomas, Glick, William, Goldina, Tatiana, Goldstein, Daniel A., Goodenow, Iain, Graham, Melissa L., Gressler, William J., Gris, Philippe, Guy, Leanne P., Guyonnet, Augustin, Haller, Gunther, Harris, Ron, Hascall, Patrick A., Haupt, Justine, Hernandez, Fabio, Herrmann, Sven, Hileman, Edward, Hoblitt, Joshua, Hodgson, John A., Hogan, Craig, Howard, James D., Huang, Dajun, Huffer, Michael E., Ingraham, Patrick, Innes, Walter R., Jacoby, Suzanne H., Jain, Bhuvnesh, Jammes, Fabrice, Jee, M. James, Jenness, Tim, Jernigan, Garrett, Jevremović, Darko, Johns, Kenneth, Johnson, Anthony S., Johnson, Margaret W. G., Jones, R. Lynne, Juramy-Gilles, Claire, Jurić, Mario, Kalirai, Jason S., Kallivayalil, Nitya J., Kalmbach, Bryce, Kantor, Jeffrey P., Karst, Pierre, Kasliwal, Mansi M., Kelly, Heather, Kessler, Richard, Kinnison, Veronica, Kirkby, David, Knox, Lloyd, Kotov, Ivan V., Krabbendam, Victor L., Krughoff, K. Simon, Kubánek, Petr, Kuczewski, John, Kulkarni, Shri, Ku, John, Kurita, Nadine R., Lage, Craig S., Lambert, Ron, Lange, Travis, Langton, J. Brian, Guillou, Laurent Le, Levine, Deborah, Liang, Ming, Lim, Kian-Tat, Lintott, Chris J., Long, Kevin E., Lopez, Margaux, Lotz, Paul J., Lupton, Robert H., Lust, Nate B., MacArthur, Lauren A., Mahabal, Ashish, Mandelbaum, Rachel, Markiewicz, Thomas W., Marsh, Darren S., Marshall, Philip J., Marshall, Stuart, May, Morgan, McKercher, Robert, McQueen, Michelle, Meyers, Joshua, Migliore, Myriam, Miller, Michelle, Mills, David J., Miraval, Connor, Moeyens, Joachim, Moolekamp, Fred E., Monet, David G., Moniez, Marc, Monkewitz, Serge, Montgomery, Christopher, Morrison, Christopher B., Mueller, Fritz, Muller, Gary P., Arancibia, Freddy Muñoz, Neill, Douglas R., Newbry, Scott P., Nief, Jean-Yves, Nomerotski, Andrei, Nordby, Martin, O’Connor, Paul, Oliver, John, Olivier, Scot S., Olsen, Knut, O’Mullane, William, Ortiz, Sandra, Osier, Shawn, Owen, Russell E., Pain, Reynald, Palecek, Paul E., Parejko, John K., Parsons, James B., Pease, Nathan M., Peterson, J. Matt, Peterson, John R., Petravick, Donald L., Petrick, M. E. Libby, Petry, Cathy E., Pierfederici, Francesco, Pietrowicz, Stephen, Pike, Rob, Pinto, Philip A., Plante, Raymond, Plate, Stephen, Plutchak, Joel P., Price, Paul A., Prouza, Michael, Radeka, Veljko, Rajagopal, Jayadev, Rasmussen, Andrew P., Regnault, Nicolas, Reil, Kevin A., Reiss, David J., Reuter, Michael A., Ridgway, Stephen T., Riot, Vincent J., Ritz, Steve, Robinson, Sean, Roby, William, Roodman, Aaron, Rosing, Wayne, Roucelle, Cecille, Rumore, Matthew R., Russo, Stefano, Saha, Abhijit, Sassolas, Benoit, Schalk, Terry L., Schellart, Pim, Schindler, Rafe H., Schmidt, Samuel, Schneider, Donald P., Schneider, Michael D., Schoening, William, Schumacher, German, Schwamb, Megan E., Sebag, Jacques, Selvy, Brian, Sembroski, Glenn H., Seppala, Lynn G., Serio, Andrew, Serrano, Eduardo, Shaw, Richard A., Shipsey, Ian, Sick, Jonathan, Silvestri, Nicole, Slater, Colin T., Smith, J. Allyn, Smith, R. Chris, Sobhani, Shahram, Soldahl, Christine, Storrie-Lombardi, Lisa, Stover, Edward, Strauss, Michael A., Street, Rachel A., Stubbs, Christopher W., Sullivan, Ian S., Sweeney, Donald, Swinbank, John D., Szalay, Alexander, Takacs, Peter, Tether, Stephen A., Thaler, Jon J., Thayer, John Gregg, Thomas, Sandrine, Thornton, Adam J., Thukral, Vaikunth, Tice, Jeffrey, Trilling, David E., Turri, Max, Berg, Richard Van, Berk, Daniel Vanden, Vetter, Kurt, Virieux, Francoise, Vucina, Tomislav, Wahl, William, Walkowicz, Lucianne, Walsh, Brian, Walter, Christopher W., Wang, Daniel L., Wang, Shin-Yawn, Warner, Michael, Wiecha, Oliver, Willman, Beth, Winters, Scott E., Wittman, David, Wolff, Sidney C., Wood-Vasey, W. Michael, Wu, Xiuqin, Xin, Bo, Yoachim, Peter, Zhan, Hu·2019·The Astrophysical Journal

Abstract

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.

Overview

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Written from the paper’s full text.

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.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.3847/1538-4357/ab042c

Cites

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Show all 65 claims

  • Not yet classified. 234
  • It may state two separate claims as one. 38
  • Probably not a substantial claim. 29
293 of 293
  • 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 &gt; 800 again implies that n &lt; 4 and t vis &lt; 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.”
23 of 23

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  • Air-mass limit reverses the stated effect on survey depth

    Minor

    The 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.

1 of 1

Citations

Cites

Items 201–353 of 353

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Research works printed but not linked: 22

  1. Bacci, 2017, MPEC, 2017-U181
  2. Bartelmann, 1998, A&A, 330, 1
  3. Becla, 2017, LSST Data Management Database Design, LSST Document LDM-135
  4. LSST Strong Lensing Science Collaboration, 2007, BAAS, 39, 979
  5. LSST Active Galaxies Science Collaboration, 2007, BAAS, 39, 980
  6. Cooray, 1999, A&A, 348, 31
  7. Fitzpatrick, 2016, Proc. SPIE, 9913, 10.1117/12.2231313 · DOI · Paper page
  8. Garnavich, 2004, BAAS, 36, 1530
  9. Grav, 2007, BAAS, 39, 807
  10. The LSST Science Collaboration, 2011, LSST Science Requirements Document, LSST Document LPM-17
  11. Jedicke, 2005, BAAS, 37, 1363
  12. Jones, 2007, BAAS, 39, 981
  13. Jurić, 2013, Winter 2013 LSST DM Data Challenge Release Notes, DM Tech. Note DMTN-035
  14. Jurić, 2017, LSST Science Platform Vision Document, LSST Document LSE-319
  15. Jurić, 2017b, LSST Data Products Definition Document, LSST Document LSE-163
  16. Lowry, 1999, A&A, 349, 649
  17. Mahabal, 2011, BASI, 39, 387
  18. Pettersen, 1989, A&A, 217, 187
  19. Pinto, 2004, BAAS, 36, 1530
  20. Raddick, 2017, AAS Meeting, 229, 236.15
  21. Science Working Group of the LSST, 2004, Towards a Design Reference Mission for the Large Synoptic Survey Telescope, Document-26952
  22. Stassun, 2013, AAS Meeting, 221, 116.01

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Metadata

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)
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ORCID
Venue
The Astrophysical Journal
Published
2019-03-10
Volume
873
Issue
2
Pages
111
ISSN
  • 0004-637X (ISSN-L)
  • 1538-4357
OpenAlex
W2159714423
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
FWCI
275.52
Type
journal article
Language
en
Open access
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.

A language model drew the claims from the paper on 2026-10-08, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-08 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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