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

Gatti, M.

doi:10.1093/mnras/sty466

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

Journal Article · 21 February 2018 · Monthly Notices of the Royal Astronomical Society

DOI: https://doi.org/10.1093/mnras/sty466 · OSTI ID:1399673

Gatti, M. ^[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.

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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 Troxel, M. A.; MacCrann, N.; Zuntz, J. Physical Review D, Vol. 98, Issue 4 https://doi.org/10.1103/physrevd.98.043528	journal	August 2018
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 Omori, Y.; Baxter, E. J.; Chang, C. Physical Review D, Vol. 100, Issue 4 https://doi.org/10.1103/physrevd.100.043517	journal	August 2019
corrfunc – a suite of blazing fast correlation functions on the CPU Sinha, Manodeep; Garrison, Lehman H. Monthly Notices of the Royal Astronomical Society, Vol. 491, Issue 2 https://doi.org/10.1093/mnras/stz3157	journal	November 2019
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear Troxel, M. A.; MacCrann, N.; Zuntz, J. arXiv https://doi.org/10.48550/arxiv.1708.01538	text	January 2017
Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing Abbott, T. M. C.; Abdalla, F. B.; Avila, S. Physical Review D, Vol. 99, Issue 12 https://doi.org/10.1103/physrevd.99.123505	journal	June 2019
Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing Samuroff, S.; Blazek, J.; Troxel, M. A. Monthly Notices of the Royal Astronomical Society, Vol. 489, Issue 4 https://doi.org/10.1093/mnras/stz2197	journal	August 2019
Producing a BOSS-CMASS sample with DES imaging Lee, S.; Huff, E. M.; Ross, A. J. arXiv https://doi.org/10.48550/arxiv.1906.01136	text	January 2019
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing Collaboration, Des; Abbott, T. M. C.; Abdalla, F. B. arXiv https://doi.org/10.48550/arxiv.1708.01530	text	January 2017
Mass functions, luminosity functions, and completeness measurements from clustering redshifts Bates, Dominic J.; Tojeiro, Rita; Newman, Jeffrey A. Monthly Notices of the Royal Astronomical Society, Vol. 486, Issue 3 https://doi.org/10.1093/mnras/stz997	journal	April 2019
Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU Sinha, Manodeep; Garrison, Lehman H. arXiv https://doi.org/10.48550/arxiv.1911.03545	text	January 2019
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters McClintock, T.; Varga, T. N.; Gruen, D. arXiv https://doi.org/10.48550/arxiv.1805.00039	text	January 2018
Estimating redshift distributions using hierarchical logistic Gaussian processes Rau, Markus Michael; Wilson, Simon; Mandelbaum, Rachel Monthly Notices of the Royal Astronomical Society, Vol. 491, Issue 4 https://doi.org/10.1093/mnras/stz3295	journal	November 2019
Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters McClintock, T.; Varga, T. N.; Gruen, D. Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 1 https://doi.org/10.1093/mnras/sty2711	journal	October 2018
Producing a BOSS CMASS sample with DES imaging Lee, S.; Huff, E. M.; Ross, A. J. Monthly Notices of the Royal Astronomical Society, Vol. 489, Issue 2 https://doi.org/10.1093/mnras/stz2288	journal	September 2019
Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing Abbott, T. M. C.; Abdalla, F. B.; Alarcon, A. Physical Review D, Vol. 98, Issue 4 https://doi.org/10.1103/physrevd.98.043526	journal	August 2018
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample Hoyle, Ben; Rau, Markus Michael Monthly Notices of the Royal Astronomical Society, Vol. 485, Issue 3 https://doi.org/10.1093/mnras/stz502	journal	February 2019
Cosmological Constraints from Multiple Probes in the Dark Energy Survey Abbott, T. M. C.; Alarcon, A.; Allam, S. Physical Review Letters, Vol. 122, Issue 17 https://doi.org/10.1103/physrevlett.122.171301	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 Baxter, E. J.; Omori, Y.; Chang, C. Physical Review D, Vol. 99, Issue 2 https://doi.org/10.1103/physrevd.99.023508	journal	January 2019
Dark Energy Survey Year 1 Results: Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing Samuroff, S.; Blazek, J.; Troxel, M. A. arXiv https://doi.org/10.48550/arxiv.1811.06989	text	January 2018
Dark Energy Survey year 1 results: Galaxy-galaxy lensing Prat, J.; Sánchez, C.; Fang, Y. Physical Review D, Vol. 98, Issue 4 https://doi.org/10.1103/physrevd.98.042005	journal	August 2018
Optimizing galaxy samples for clustering measurements in photometric surveys Tanoglidis, Dimitrios; Chang, Chihway; Frieman, Joshua arXiv https://doi.org/10.48550/arxiv.1908.07150	text	January 2019
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample Hoyle, Ben; Rau, Markus Michael arXiv https://doi.org/10.48550/arxiv.1802.02581	text	January 2018
Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies Hoyle, B.; Gruen, D.; Bernstein, G. M. Monthly Notices of the Royal Astronomical Society, Vol. 478, Issue 1 https://doi.org/10.1093/mnras/sty957	journal	April 2018
Optimizing galaxy samples for clustering measurements in photometric surveys Tanoglidis, Dimitrios; Chang, Chihway; Frieman, Joshua Monthly Notices of the Royal Astronomical Society, Vol. 491, Issue 3 https://doi.org/10.1093/mnras/stz3281	journal	November 2019
Dark Energy Survey Year 1 Results: A Precise H0 Measurement from DES Y1, BAO, and D/H Data Collaboration, Des; Abbott, T. M. C.; Abdalla, F. B. arXiv https://doi.org/10.48550/arxiv.1711.00403	text	January 2017
Dark Energy Survey Year 1 results: measurement of the galaxy angular power spectrum Camacho, H.; Kokron, N.; Andrade-Oliveira, F. Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 3 https://doi.org/10.1093/mnras/stz1514	journal	June 2019
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data Gruen, D.; Friedrich, O.; Krause, E. arXiv https://doi.org/10.48550/arxiv.1710.05045	text	January 2017
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data Gruen, D.; Friedrich, O.; Krause, E. Physical Review D, Vol. 98, Issue 2 https://doi.org/10.1103/physrevd.98.023507	journal	July 2018
H i intensity mapping for clustering-based redshift estimation Cunnington, Steven; Harrison, Ian; Pourtsidou, Alkistis Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 3 https://doi.org/10.1093/mnras/sty2928	journal	October 2018
Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations Cawthon, R.; Davis, C.; Gatti, M. Monthly Notices of the Royal Astronomical Society, Vol. 481, Issue 2 https://doi.org/10.1093/mnras/sty2424	journal	September 2018
Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model Sánchez, Carles; Bernstein, Gary M. Monthly Notices of the Royal Astronomical Society, Vol. 483, Issue 2 https://doi.org/10.1093/mnras/sty3222	journal	November 2018
Dark Energy Survey Year 1 Results: A Precise H0 Estimate from DES Y1, BAO, and D/H Data Abbott, T. M. C.; Abdalla, F. B.; Annis, J. Monthly Notices of the Royal Astronomical Society, Vol. 480, Issue 3 https://doi.org/10.1093/mnras/sty1939	journal	July 2018
Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations Cawthon, R.; Davis, C.; Gatti, M. Apollo - University of Cambridge Repository https://doi.org/10.17863/cam.20892	text	January 2018
Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing Prat, J.; Sánchez, C.; Fang, Y. arXiv https://doi.org/10.48550/arxiv.1708.01537	text	January 2017
Cosmological Constraints from Multiple Probes in the Dark Energy Survey Collaboration, Des; Abbott, T. M. C.; Alarcon, A. arXiv https://doi.org/10.48550/arxiv.1811.02375	text	January 2018
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing Buchs, R.; Davis, C.; Gruen, D. arXiv https://doi.org/10.48550/arxiv.1901.05005	text	January 2019
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies Hoyle, B.; Gruen, D.; Bernstein, G. M. arXiv https://doi.org/10.48550/arxiv.1708.01532	text	January 2017

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