Systematic errors in future weak-lensing surveys: requirements and prospects for self-calibration
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We study the impact of systematic errors on planned weak-lensing surveys and compute the requirements on their contributions so that they are not a dominant source of the cosmological parameter error budget. The generic types of error we consider are multiplicative and additive errors in measurements of shear, as well as photometric redshift errors. In general, more powerful surveys have stronger systematic requirements. For example, for a SuperNova/Acceleration Probe (SNAP)-type survey the multiplicative error in shear needs to be smaller than 1 per cent of the mean shear in any given redshift bin, while the centroids of photometric redshift bins need to be known to be better than 0.003. With about a factor of 2 degradation in cosmological parameter errors, future surveys can enter a self-calibration regime, where the mean systematic biases are self-consistently determined from the survey and only higher order moments of the systematics contribute. Interestingly, once the power-spectrum measurements are combined with the bispectrum, the self-calibration regime in the variation of the equation of state of dark energy wa is attained with only a 20-30 per cent error degradation.
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Higher-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 ) .”
From LSST: From Science Drivers to Reference Design and Anticipated Data Products (2019) · cites this paper as Huterer et al. 2006
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Galaxy Alignments: An Overview
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Calibrating Redshift Distributions beyond Spectroscopic Limits with Cross‐Correlations
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DESI and other Dark Energy experiments in the era of neutrino mass measurements
Font-Ribera, A., McDonald, P., Mostek, N. J., Reid, B. A., Seo, H.-J., & Slosar, A. (2014) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2014/05/023 · Cited by 322 · see citing works
Hildebrandt, H., Arnouts, S., Capak, P. L., Moustakas, L. A., Wolf, C., Abdalla, F. B., Assef, R. J., Banerji, M., Benítez, N., Brammer, G. B., et al. (2010) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201014885 · Cited by 270 · see citing works
Practical Weak-lensing Shear Measurement with Metacalibration
Sheldon, E. S., & Huff, E. (2017) · The Astrophysical Journal · doi:10.3847/1538-4357/aa704b · Cited by 268 · see citing works
Searching for modified growth patterns with tomographic surveys
Gong-Bo, Z., Pogosian, L., Silvestri, A., & Zylberberg, J. (2008) · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · doi:10.1103/physrevd.79.083513 · Cited by 199 · see citing works
Ultrahigh precision cosmology from gravitational waves
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CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics
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DESI and other Dark Energy experiments in the era of neutrino mass measurements
Font-Ribera, A., McDonald, P., Mostek, N. J., Reid, B., Seo, H.-J., & Slosar, A. (2014) · UCL Discovery (University College London) · Cited by 249 · see citing works
Constraints on intrinsic alignment contamination of weak lensing surveys using the MegaZ-LRG sample
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Constraints on intrinsic alignment contamination of weak lensing surveys using the MegaZ-LRG sample
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Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies
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Systematic bias in cosmic shear: extending the Fisher matrix
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The impact of non-Gaussian errors on weak lensing surveys
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Self-citationCosmic discordance: are Planck CMB and CFHTLenS weak lensing measurements out of tune?
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Self-citationGalaxy Alignments: Observations and Impact on Cosmology
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CARS: the CFHTLS-Archive-Research Survey
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Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies
Myles, J., Alarcon, A., Amon, A., Sánchez, C., Everett, S., DeRose, J., McCullough, J., Gruen, D., Bernstein, G. M., Troxel, M. A., et al. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab1515 · Cited by 173 · see citing works
Self-citationA halo model for intrinsic alignments of galaxy ellipticities
Schneider, M. D., & Bridle, S. (2010) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2009.15956.x · Cited by 170 · see citing works
Oguri, M., & Takada, M. (2011) · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · doi:10.1103/physrevd.83.023008 · Cited by 168 · see citing works
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KiDS-1000 catalogue: Redshift distributions and their calibration
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The effective number density of galaxies for weak lensing measurements in the LSST project
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Self-citationTHE THIRD GRAVITATIONAL LENSING ACCURACY TESTING (GREAT3) CHALLENGE HANDBOOK
Mandelbaum, R., Rowe, B., Bosch, J., Chang, C.-W. L., Courbin, F., Gill, M., Jarvis, M., Kannawadi, A., Kacprzak, T., Lackner, C., et al. (2013) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/212/1/5 · Cited by 139 · see citing works
Results of the GREAT08 Challenge★: an image analysis competition for cosmological lensing
Bridle, S., Balan, S. T., Bethge, M., Gentile, M., Stefan Harmeling, B., Heymans, C., Hirsch, M., Hosseini, R., Jarvis, M., Kirk, D., et al. (2010) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2010.16598.x · Cited by 154 · see citing works
Self-citationOptimal surveys for weak-lensing tomography
Amara, A., & Refregier, A. R. (2007) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2007.12271.x · Cited by 150 · see citing works
Cunha, C. E., Lima, M., Oyaizu, H., Frieman, J. A., & Lin, H. (2009) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2009.14908.x · Cited by 150 · see citing works
Precision photometric redshift calibration for galaxy–galaxy weak lensing
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Growth of cosmic structure: Probing dark energy beyond expansion
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Means of confusion: how pixel noise affects shear estimates for weak gravitational lensing
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Masters, D. C., Stern, D. K., Cohen, J. G., Capak, P. L., Rhodes, J. D., Castander, F. J., & Paltani, S. (2017) · The Astrophysical Journal · doi:10.3847/1538-4357/aa6f08 · Cited by 135 · see citing works
Galaxy alignments: An overview
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Semboloni, E., Hoekstra, H., & Schaye, J. (2013) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stt1013 · Cited by 134 · see citing works
The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Analysis and Data Release 2
Masters, D. C., Stern, D. K., Cohen, J. G., Capak, P. L., Stanford, S. A., Hernitschek, N., Galametz, A., Davidzon, I., Rhodes, J. D., Sanders, D. B., et al. (2019) · The Astrophysical Journal · doi:10.3847/1538-4357/ab184d · Cited by 127 · see citing works
COMPREHENSIVE TWO-POINT ANALYSES OF WEAK GRAVITATIONAL LENSING SURVEYS
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On using angular cross-correlations to determine source redshift distributions
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Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing
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Self-citationCatastrophic photometric redshift errors: weak-lensing survey requirements
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Self-citationDark Energy Survey year 1 results: Galaxy-galaxy lensing
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Defining a weak lensing experiment in space
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Self-citationCosmological Tests of General Relativity with Future Tomographic Surveys
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Shape measurement biases from underfitting and ellipticity gradients
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Measuring neutrino masses and dark energy with weak lensing tomography
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Spectroscopic needs for imaging dark energy experiments
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The cosmological impact of intrinsic alignment model choice for cosmic shear
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Optimal surveys for weak-lensing tomographyPreprint
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Measuring neutrino masses and dark energy with weak lensing tomography
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Means of confusion: how pixel noise affects shear estimates for weak gravitational lensingPreprint
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Bayesian lensing shear measurement
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THE THIRD GRAVITATIONAL LENSING ACCURACY TESTING (GREAT3) CHALLENGE HANDBOOK
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RECONSTRUCTING REDSHIFT DISTRIBUTIONS WITH CROSS-CORRELATIONS: TESTS AND AN OPTIMIZED RECIPE
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Cosmological tests of general relativity: A principal component analysis
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Self-citationMeasuring dark energy properties with 3D cosmic shear
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- Authors
- Huterer, D., Takada, M., Bernstein, G., & Jain, B.
- Affiliations
- Tohoku University (JP)
- University of Pennsylvania (US)
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-02-11
- Volume
- 366
- Issue
- 1
- Pages
- 101-114
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W2102084015
- Cited by
- 409
- References
- 78
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 14 · 2023: 23 · 2022: 25 · 2021: 17 · 2020: 11 · 2019: 13 · 2018: 21 · 2017: 13 · 2016: 24 · 2015: 26 · 2014: 21 · 2013: 16 · 2012: 34
- FWCI
- 14.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Monthly Notices of the Royal Astronomical Society (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Dark Matter and Cosmic Phenomena
- Keywords
- weak gravitational lensing, systematic errors, photometric redshift errors, self-calibration, dark energy equation of state, power spectrum, bispectrum
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