Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE
Abstract
In this work, we use a suite of simulated images based on Year 1 of the Dark Energy Survey to explore the impact of galaxy neighbours on shape measurement and shear cosmology. The hoopoe image simulations include realistic blending, galaxy positions, and spatial variations in depth and point spread function properties. Using the im3shape maximum-likelihood shape measurement code, we identify four mechanisms by which neighbours can have a non-negligible influence on shear estimation. These effects, if ignored, would contribute a net multiplicative bias of m ~0.03–0.09 in the Year One of the Dark Energy Survey (DES Y1) im3shape catalogue, though the precise impact will be dependent on both the measurement code and the selection cuts applied. This can be reduced to percentage level or less by removing objects with close neighbours, at a cost to the effective number density of galaxies neff of 30 percent. We use the cosmological inference pipeline of DES Y1 to explore the cosmological implications of neighbour bias and show that omitting blending from the calibration simulation for DES Y1 would bias the inferred clustering amplitude S8 ≡ σ8(Ωm/0.3)0.5 by 2σ towards low values. Lastly, we use the hoopoe simulations to test the effect of neighbour-inducedmore »
- Authors:
-
- Univ. of Manchester (United Kingdom). et al.
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- Contributing Org.:
- DES Collaboration
- OSTI Identifier:
- 1376073
- Alternate Identifier(s):
- OSTI ID: 1392237; OSTI ID: 1426560
- Report Number(s):
- FERMILAB-PUB-17-291-E; arXiv:1708.01534; BNL-114252-2017-JA
Journal ID: ISSN 0035-8711; 1614457
- Grant/Contract Number:
- AC02-07CH11359; SC0012704; AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Monthly Notices of the Royal Astronomical Society
- Additional Journal Information:
- Journal Volume: 475; Journal Issue: 4; Journal ID: ISSN 0035-8711
- Publisher:
- Royal Astronomical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; gravitational lensing: weak; galaxies: statistics; cosmological parameters; cosmology: observations
Citation Formats
Samuroff, S. Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE. United States: N. p., 2017.
Web. doi:10.1093/mnras/stx3282.
Samuroff, S. Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE. United States. https://doi.org/10.1093/mnras/stx3282
Samuroff, S. Tue .
"Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE". United States. https://doi.org/10.1093/mnras/stx3282. https://www.osti.gov/servlets/purl/1376073.
@article{osti_1376073,
title = {Dark Energy Survey Year 1 results: the impact of galaxy neighbours on weak lensing cosmology with IM3SHAPE},
author = {Samuroff, S.},
abstractNote = {In this work, we use a suite of simulated images based on Year 1 of the Dark Energy Survey to explore the impact of galaxy neighbours on shape measurement and shear cosmology. The hoopoe image simulations include realistic blending, galaxy positions, and spatial variations in depth and point spread function properties. Using the im3shape maximum-likelihood shape measurement code, we identify four mechanisms by which neighbours can have a non-negligible influence on shear estimation. These effects, if ignored, would contribute a net multiplicative bias of m ~0.03–0.09 in the Year One of the Dark Energy Survey (DES Y1) im3shape catalogue, though the precise impact will be dependent on both the measurement code and the selection cuts applied. This can be reduced to percentage level or less by removing objects with close neighbours, at a cost to the effective number density of galaxies neff of 30 percent. We use the cosmological inference pipeline of DES Y1 to explore the cosmological implications of neighbour bias and show that omitting blending from the calibration simulation for DES Y1 would bias the inferred clustering amplitude S8 ≡ σ8(Ωm/0.3)0.5 by 2σ towards low values. Lastly, we use the hoopoe simulations to test the effect of neighbour-induced spatial correlations in the multiplicative bias. We find the impact on the recovered S8 of ignoring such correlations to be subdominant to statistical error at the current level of precision.},
doi = {10.1093/mnras/stx3282},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 4,
volume = 475,
place = {United States},
year = {Tue Dec 26 00:00:00 EST 2017},
month = {Tue Dec 26 00:00:00 EST 2017}
}
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Cited by: 41 works
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Figures / Tables:
Figure-1: Postage stamp snapshots of the basic two-object toy model described in Section 3. The overlain ellipse shows the maximum likelihood fit to the image. The panels show three neighbour positions in the range θ = [0, π/2] rad. The best-fitting ellipticity and half-light radius are shown above each image.more »
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