The effective number density of galaxies for weak lensing measurements in the LSST project
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Future weak lensing surveys potentially hold the highest statistical power for constraining cosmological parameters compared to other cosmological probes. The statistical power of a weak lensing survey is determined by the sky coverage, the inverse of the noise in shear measurements and the galaxy number density. The combination of the latter two factors is often expressed in terms of neff – the ‘effective number density of galaxies used for weak lensing measurements’. In this work, we estimate neff for the Large Synoptic Survey Telescope (LSST) project, the most powerful ground-based lensing survey planned for the next two decades. We investigate how the following factors affect the resulting neff of the survey with detailed simulations: (1) survey time, (2) shear measurement algorithm, (3) algorithm for combining multiple exposures, (4) inclusion of data from multiple filter bands, (5) redshift distribution of the galaxies and (6) masking and blending. For the first time, we quantify in a general weak lensing analysis pipeline the sensitivity of neff to the above factors. We find that with current weak lensing algorithms, expected distributions of observing parameters, and all lensing data (r and i band, covering 18 000 degree2 of sky) for LSST, neff ≈ 37 arcmin−2 before considering blending and masking, neff ≈ 31 arcmin−2 when rejecting seriously blended galaxies and neff ≈ 26 arcmin−2 when considering an additional 15 per cent loss of galaxies due to masking. With future improvements in weak lensing algorithms, these values could be expected to increase by up to 20 per cent. Throughout the paper, we also stress the ways in which neff depends on our ability to understand and control systematic effects in the measurements.
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The stellar-to-halo mass relation of GAMA galaxies from 100 deg 2 of KiDS weak lensing data
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Deblending and classifying astronomical sources with Mask R-CNN deep learning
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Self-citationRCSLenS: The Red Cluster Sequence Lensing Survey
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Intrinsic alignments of galaxies in the MassiveBlack-II simulation: analysis of two-point statistics
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Cosmological constraints from noisy convergence maps through deep learning
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The three-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey
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An improved cosmological parameter inference scheme motivated by deep learning
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Cosmological simulations for combined-probe analyses: covariance and neighbour-exclusion bias
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On the road to per cent accuracy IV: ReACT – computing the non-linear power spectrum beyond ΛCDM
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Accurate cosmic shear errors: do we need ensembles of simulations?
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An accurate and practical method for inference of weak gravitational lensing from galaxy images
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Multitracing anisotropic non-Gaussianity with galaxy shapes
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On the probability distributions of ellipticity
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THE ELLIPTICITY DISTRIBUTION OF AMBIGUOUSLY BLENDED OBJECTS
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Neutrino masses and beyond- ΛCDM cosmology with LSST and future CMB experiments
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The masses of satellites in GAMA galaxy groups from 100 square degrees of KiDS weak lensing data
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Primordial gravitational waves from galaxy intrinsic alignments
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Deblending galaxy superpositions with branched generative adversarial networks
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Imprint of inflation on galaxy shape correlations
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Towards precision constraints on gravity with the Effective Field Theory of Large-Scale Structure
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Galaxy imaging surveys as spin-sensitive detector for cosmological colliders
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KiDS-1000: Cosmology with improved cosmic shear measurements
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Neutrino mass without cosmic variance
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The one-loop matter bispectrum as a probe of gravity and dark energy
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Cosmology from weak lensing peaks and minima with Subaru Hyper Suprime-Cam Survey first-year data
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IMPACT OF ATMOSPHERIC CHROMATIC EFFECTS ON WEAK LENSING MEASUREMENTS
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Machine learning for observational cosmology
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Strongly lensed gravitational waves and electromagnetic signals as powerful cosmic rulers
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KiDS-i-800: comparing weak gravitational lensing measurements from same-sky surveys
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Intrinsic galaxy alignment from angular dependent primordial non-Gaussianity
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A COMPARISON OF COSMOLOGICAL MODELS USING TIME DELAY LENSES
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The challenge of blending in large sky surveys
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Intrinsic galaxy alignment from angular dependent primordial non-Gaussianity
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The Signatures of Self-interacting Dark Matter and Subhalo Disruption on Cluster Substructure
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Contamination of early-type galaxy alignments to galaxy lensing–CMB lensing cross-correlation
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Galaxy bias in the era of LSST: perturbative bias expansions
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Self-citationGalaxy shape statistics in the effective field theory
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Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data
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Self-citationConsistency of cosmic shear analyses in harmonic and real space
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Self-citationThe impact of baryonic physics and massive neutrinos on weak lensing peak statistics
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How to Obtain the Redshift Distribution from Probabilistic Redshift Estimates
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Three-point galaxy-galaxy lensing as a probe of dark matter halo shapes
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Self-citationTowards a full wCDM map-based analysis for weak lensing surveys
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Cross-correlating 21 cm and galaxy surveys: implications for cosmology and astrophysics
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Modelling the matter bispectrum at small scales in modified gravity
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Bayesian photometric redshifts of blended sources
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Galaxy shape measurement with convolutional neural networks
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Avoiding baryonic feedback effects on neutrino mass measurements from CMB lensing
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Measuring the scale dependence of intrinsic alignments using multiple shear estimates
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The Scales of Gravitational Lensing
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Weak-lensing study in VOICE survey – I. Shear measurement
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Weak lensing shear estimation beyond the shape-noise limit: a machine learning approach
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Galaxy blending effects in deep imaging cosmic shear probes of cosmology
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- Authors
- Chang, C., Jarvis, M., Jain, B., Kahn, S. M., Kirkby, D., Connolly, A., Krughoff, S., Peng, E. H., & Peterson, J. R.
- Affiliations
- Kavli Institute for Particle Astrophysics and Cosmology (US)
- University of Pennsylvania (US)
- University of California, Irvine (US)
- University of Washington (US)
- Purdue University West Lafayette (US)
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-07-19
- Volume
- 434
- Issue
- 3
- Pages
- 2121-2135
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W2023217969
- Cited by
- 164
- References
- 49
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 13 · 2023: 10 · 2022: 13 · 2021: 11 · 2020: 12 · 2019: 16 · 2018: 22 · 2017: 8 · 2016: 15 · 2015: 14 · 2014: 5
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Monthly Notices of the Royal Astronomical Society (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (DE-SC0007901, 0809409)
- U.S. Department of Energy (DE-AC02-76-SFO0515, DESC0007901, DE-AC02-)
- SLAC National Accelerator Laboratory
- 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 › Instrumentation › Astronomy and Astrophysical Research
- Keywords
- weak gravitational lensing, LSST, shear measurement, galaxy blending, redshift distribution, multi-band imaging, cosmological parameter constraints, statistical power, systematic effects
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