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Title: Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts - Methods and Systematics Characterization

Journal Article · · Monthly Notices of the Royal Astronomical Society
 [1]
  1. Barcelona Inst. of Science adn Technology (Spain). et al.

We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing (WL) source galaxies from the Dark Energy Survey Year 1 (DES Y1) sample with redMaGiC galaxies (luminous red galaxies with secure photometric red- shifts) to estimate the redshift distribution of the former sample. The recovered redshift distributions are used to calibrate the photometric redshift bias of standard photo-z methods applied to the same source galaxy sample. We also apply the method to three photo-z codes run in our simulated data: Bayesian Photometric Redshift (BPZ), Directional Neighborhood Fitting (DNF), and Random Forest-based photo-z (RF). We characterize the systematic uncertainties of our calibration procedure, and find that these systematic uncertainties dominate our error budget. The dominant systematics are due to our assumption of unevolving bias and clustering across each redshift bin, and to differences between the shapes of the redshift distributions derived by clustering vs photo-z's. The systematic uncertainty in the mean redshift bias of the source galaxy sample is z ≲ 0.02, though the precise value depends on the redshift bin under consideration. Here, we discuss possible ways to mitigate the impact of our dominant systematics in future analyses.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
SC0012704
OSTI ID:
1399673
Alternate ID(s):
OSTI ID: 1439283; OSTI ID: 1468040; OSTI ID: 1487083
Report Number(s):
BNL--114383-2017-JA
Journal Information:
Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 2 Vol. 477; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear text January 2017
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Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU text January 2019
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters text January 2018
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Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing journal August 2018
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample journal February 2019
Cosmological Constraints from Multiple Probes in the Dark Energy Survey journal May 2019
Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions journal January 2019
Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing text January 2018
Dark Energy Survey year 1 results: Galaxy-galaxy lensing journal August 2018
Optimizing galaxy samples for clustering measurements in photometric surveys text January 2019
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample text January 2018
Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies journal April 2018
Optimizing galaxy samples for clustering measurements in photometric surveys journal November 2019
Dark Energy Survey Year 1 Results: A Precise H0 Measurement from DES Y1, BAO, and D/H Data text January 2017
Dark Energy Survey Year 1 results: measurement of the galaxy angular power spectrum journal June 2019
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data text January 2017
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data journal July 2018
H  i intensity mapping for clustering-based redshift estimation journal October 2018
Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations journal September 2018
Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model journal November 2018
Dark Energy Survey Year 1 Results: A Precise H0 Estimate from DES Y1, BAO, and D/H Data journal July 2018
Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations text January 2018
Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing text January 2017
Cosmological Constraints from Multiple Probes in the Dark Energy Survey 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
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies text January 2017