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Title: Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Journal Article · · Physical Review D

We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods { annz2, bpz calibrated against BCC-U fig simulations, skynet, and tpz { are analysed. For training, calibration, and testing of these methods, we also construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evalu-ated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-zs. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72 ±0.01 over the range 0:3 < z < 1:3, we construct three tomographic bins with means of z = {0.45; 0.67,1.00g}. These bins each have systematic uncertainties δz ≲ 0.05 in the mean of the fiducial skynet photo-z n(z). We propagate the errors in the redshift distributions through to their impact on cosmological parameters estimated with cosmic shear, and find that they cause shifts in the value of σ8 of approx. 3%. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalog. We also found that further study of the potential impact of systematic differences on the critical surface density, Σcrit, contained levels of bias safely less than the statistical power of DES SV data. We recommend a final Gaussian prior for the photo-z bias in the mean of n(z) of width 0:05 for each of the three tomographic bins, and show that this is a sufficient bias model for the corresponding cosmology analysis.

Research Organization:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
Dark Energy Survey Collaboration
DOE Contract Number:
AC02-07CH11359
OSTI ID:
1223240
Report Number(s):
FERMILAB-PUB-15-306; PRVDAQ; arXiv eprint number arXiv:1507.05909
Journal Information:
Physical Review D, Vol. 94, Issue 4; ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English

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Dark Energy Survey year 1 results: Galaxy-galaxy lensing journal August 2018
Cosmological constraints from noisy convergence maps through deep learning journal December 2018
Machine learning and the physical sciences journal December 2019
First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation journal April 2019
Weak-lensing Mass Calibration of ACTPol Sunyaev–Zel’dovich Clusters with the Hyper Suprime-Cam Survey journal April 2019
Hierarchical Modeling and Statistical Calibration for Photometric Redshifts journal August 2019
Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology journal April 2018
First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters journal February 2019
SKA weak lensing – I. Cosmological forecasts and the power of radio-optical cross-correlations journal September 2016
Dark Energy Survey Year 1 Results: Cross-correlation between Dark Energy Survey Y1 galaxy weak lensing and South Pole Telescope + P l a n c k CMB weak lensing journal August 2019
Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear journal August 2018
The MUSE Hubble Ultra Deep Field Survey: XV. The mean rest-UV spectra of Ly α emitters at z > 3 journal September 2020
Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology text January 2018
Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations text January 2018
CFHTLenS revisited: assessing concordance with Planck including astrophysical systematics text January 2016
KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing text January 2016
Linear Density Perturbations in Multifield Coupled Quintessence text January 2016
Cross-Correlation Redshift Calibration Without Spectroscopic Calibration Samples in DES Science Verification Data text January 2017
Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology text January 2017
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Rapidly evolving transients in the Dark Energy Survey text January 2018
Return of the features. Efficient feature selection and interpretation for photometric redshifts text January 2018
Hierarchical modeling and statistical calibration for photometric redshifts text January 2018
Cosmological constraints from noisy convergence maps through deep learning text January 2018
Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data text January 2018
Dark Energy Survey Year 1 results: Validation of weak lensing cluster member contamination estimates from P(z) decomposition text January 2018
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing text January 2019

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