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Title: Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis

Abstract

We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing the lens galaxy sample selection using information from Dark Energy Survey (DES) Year 3 data and assuming the DES Year 1 metacalibration sample for the sources. We explore easily reproducible selections based on magnitude cuts in i -band as a function of (photometric) redshift, zphot , and benchmark the potential gains against those using the well-established redMaGiC [E. Rozo et al., Mon. Not. R. Astron. Soc. 461, 1431 (2016)] sample. We focus on the balance between density and photometric redshift accuracy, while marginalizing over a realistic set of cosmological and systematic parameters. Our optimal selection, the MagLim sample, satisfies i < 4 z phot + 18 and has ~ 30 % wider redshift distributions but ~ 3.5 times more galaxies than redMaGiC. Assuming a w CDM model (i.e. with a free parameter for the dark energy equation of state) and equivalent scale cuts to mitigate nonlinear effects, this leads to 40% increase in the figure of merit for the pair combinations of Ωm, w, and σ8, and gains of 16% in σ8, 10% in Ωm, and 12% in w. Similarly, in Λmore » CDM, we find an improvement of 19% and 27% on σ8 and Ωm, respectively. We also explore flux-limited samples with a flat magnitude cut finding that the optimal selection, i < 22.2, has ~ 7 times more galaxies and ~ 20% wider redshift distributions compared to MagLim, but slightly worse constraints. We show that our results are robust with respect to the assumed galaxy bias and photometric redshift uncertainties with only moderate further gains from increased number of tomographic bins or the inclusion of bin cross-correlations, except in the case of the flux-limited sample, for which these gains are more significant.« less

Authors:
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Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Nevada National Security Site/Mission Support and Test Services LLC (NNSS/MSTS), North Las Vegas, NV (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES); European Union (EU); National Science Foundation (NSF); Ministry of Science and Innovation (Spain); 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:
1768202
Alternate Identifier(s):
OSTI ID: 1763402; OSTI ID: 1807209; OSTI ID: 1872556
Report Number(s):
DES-2019-0482; FERMILAB-PUB-20-566-AD-AE; arXiv:2011.03411
Journal ID: ISSN 2470-0010; TRN: US2206533
Grant/Contract Number:  
AC02-76SF00515; AC02-05CH11231; AC02-07CH11359; 465376/2014-2; SEV-2016-0588; SEV-2016-0597; MDM-2015-0509; PGC2018-094773; PGC2018-102021; ESP2017-89838; AST-1536171; AST-1138766; 291329; 240672; 306478; FP7/2007-2013; AC05-00OR22725; SC0019193
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
Journal Volume: 103; Journal Issue: 4; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Porredon, A., Crocce, M., Fosalba, P., Elvin-Poole, J., Carnero Rosell, A., Cawthon, R., Eifler, T.  F., Fang, X., Ferrero, I., Krause, E., MacCrann, N., Weaverdyck, N., Abbott, T.  M. C., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Bridle, S.  L., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F.  J., Choi, A., Costanzi, M., da Costa, L.  N., Pereira, M.  E. S., De Vicente, J., Desai, S., Diehl, H.  T., Doel, P., Drlica-Wagner, A., Eckert, K., Ferté, A., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D.  W., Giannantonio, T., Gruen, D., Gruendl, R.  A., Gschwend, J., Gutierrez, G., Hartley, W.  G., Hinton, S.  R., Hollowood, D.  L., Honscheid, K., Hoyle, B., James, D.  J., Jarvis, M., Kuehn, K., Kuropatkin, N., Maia, M.  A. G., Marshall, J.  L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Pandey, S., Paz-Chinchón, F., Plazas, A.  A., Rodriguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M.  E. C., Tarle, G., To, C., Varga, T.  N., Weller, J., and Wilkinson, R.  D. Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis. United States: N. p., 2021. Web. doi:10.1103/physrevd.103.043503.
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Porredon, A., Crocce, M., Fosalba, P., Elvin-Poole, J., Carnero Rosell, A., Cawthon, R., Eifler, T.  F., Fang, X., Ferrero, I., Krause, E., MacCrann, N., Weaverdyck, N., Abbott, T.  M. C., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Bridle, S.  L., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F.  J., Choi, A., Costanzi, M., da Costa, L.  N., Pereira, M.  E. S., De Vicente, J., Desai, S., Diehl, H.  T., Doel, P., Drlica-Wagner, A., Eckert, K., Ferté, A., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D.  W., Giannantonio, T., Gruen, D., Gruendl, R.  A., Gschwend, J., Gutierrez, G., Hartley, W.  G., Hinton, S.  R., Hollowood, D.  L., Honscheid, K., Hoyle, B., James, D.  J., Jarvis, M., Kuehn, K., Kuropatkin, N., Maia, M.  A. G., Marshall, J.  L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Pandey, S., Paz-Chinchón, F., Plazas, A.  A., Rodriguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M.  E. C., Tarle, G., To, C., Varga, T.  N., Weller, J., & Wilkinson, R.  D. Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis. United States. https://doi.org/10.1103/physrevd.103.043503
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Porredon, A., Crocce, M., Fosalba, P., Elvin-Poole, J., Carnero Rosell, A., Cawthon, R., Eifler, T.  F., Fang, X., Ferrero, I., Krause, E., MacCrann, N., Weaverdyck, N., Abbott, T.  M. C., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Bridle, S.  L., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F.  J., Choi, A., Costanzi, M., da Costa, L.  N., Pereira, M.  E. S., De Vicente, J., Desai, S., Diehl, H.  T., Doel, P., Drlica-Wagner, A., Eckert, K., Ferté, A., Flaugher, B., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D.  W., Giannantonio, T., Gruen, D., Gruendl, R.  A., Gschwend, J., Gutierrez, G., Hartley, W.  G., Hinton, S.  R., Hollowood, D.  L., Honscheid, K., Hoyle, B., James, D.  J., Jarvis, M., Kuehn, K., Kuropatkin, N., Maia, M.  A. G., Marshall, J.  L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Pandey, S., Paz-Chinchón, F., Plazas, A.  A., Rodriguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M.  E. C., Tarle, G., To, C., Varga, T.  N., Weller, J., and Wilkinson, R.  D. Mon . "Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis". United States. https://doi.org/10.1103/physrevd.103.043503. https://www.osti.gov/servlets/purl/1768202.
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@article{osti_1768202,
title = {Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis},
author = {Porredon, A. and Crocce, M. and Fosalba, P. and Elvin-Poole, J. and Carnero Rosell, A. and Cawthon, R. and Eifler, T.  F. and Fang, X. and Ferrero, I. and Krause, E. and MacCrann, N. and Weaverdyck, N. and Abbott, T.  M. C. and Aguena, M. and Allam, S. and Amon, A. and Avila, S. and Bacon, D. and Bertin, E. and Bhargava, S. and Bridle, S.  L. and Brooks, D. and Carrasco Kind, M. and Carretero, J. and Castander, F.  J. and Choi, A. and Costanzi, M. and da Costa, L.  N. and Pereira, M.  E. S. and De Vicente, J. and Desai, S. and Diehl, H.  T. and Doel, P. and Drlica-Wagner, A. and Eckert, K. and Ferté, A. and Flaugher, B. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D.  W. and Giannantonio, T. and Gruen, D. and Gruendl, R.  A. and Gschwend, J. and Gutierrez, G. and Hartley, W.  G. and Hinton, S.  R. and Hollowood, D.  L. and Honscheid, K. and Hoyle, B. and James, D.  J. and Jarvis, M. and Kuehn, K. and Kuropatkin, N. and Maia, M.  A. G. and Marshall, J.  L. and Menanteau, F. and Miquel, R. and Morgan, R. and Palmese, A. and Pandey, S. and Paz-Chinchón, F. and Plazas, A.  A. and Rodriguez-Monroy, M. and Roodman, A. and Samuroff, S. and Sanchez, E. and Scarpine, V. and Serrano, S. and Sevilla-Noarbe, I. and Smith, M. and Soares-Santos, M. and Suchyta, E. and Swanson, M.  E. C. and Tarle, G. and To, C. and Varga, T.  N. and Weller, J. and Wilkinson, R.  D.},
abstractNote = {We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing the lens galaxy sample selection using information from Dark Energy Survey (DES) Year 3 data and assuming the DES Year 1 metacalibration sample for the sources. We explore easily reproducible selections based on magnitude cuts in i -band as a function of (photometric) redshift, zphot , and benchmark the potential gains against those using the well-established redMaGiC [E. Rozo et al., Mon. Not. R. Astron. Soc. 461, 1431 (2016)] sample. We focus on the balance between density and photometric redshift accuracy, while marginalizing over a realistic set of cosmological and systematic parameters. Our optimal selection, the MagLim sample, satisfies i < 4 z phot + 18 and has ~ 30 % wider redshift distributions but ~ 3.5 times more galaxies than redMaGiC. Assuming a w CDM model (i.e. with a free parameter for the dark energy equation of state) and equivalent scale cuts to mitigate nonlinear effects, this leads to 40% increase in the figure of merit for the pair combinations of Ωm, w, and σ8, and gains of 16% in σ8, 10% in Ωm, and 12% in w. Similarly, in Λ CDM, we find an improvement of 19% and 27% on σ8 and Ωm, respectively. We also explore flux-limited samples with a flat magnitude cut finding that the optimal selection, i < 22.2, has ~ 7 times more galaxies and ~ 20% wider redshift distributions compared to MagLim, but slightly worse constraints. We show that our results are robust with respect to the assumed galaxy bias and photometric redshift uncertainties with only moderate further gains from increased number of tomographic bins or the inclusion of bin cross-correlations, except in the case of the flux-limited sample, for which these gains are more significant.},
doi = {10.1103/physrevd.103.043503},
journal = {Physical Review D},
number = 4,
volume = 103,
place = {United States},
year = {Mon Feb 01 00:00:00 EST 2021},
month = {Mon Feb 01 00:00:00 EST 2021}
}
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DNF – Galaxy photometric redshift by Directional Neighbourhood Fitting
journal, April 2016

  • De Vicente, J.; Sánchez, E.; Sevilla-Noarbe, I.
  • Monthly Notices of the Royal Astronomical Society, Vol. 459, Issue 3
  • DOI: 10.1093/mnras/stw857

Stellar population synthesis at the resolution of 2003
journal, October 2003

Massive neutrinos and the non-linear matter power spectrum: The matter power with neutrinos
journal, January 2012

Controlling and leveraging small-scale information in tomographic galaxy–galaxy lensing
journal, October 2019

  • MacCrann, Niall; Blazek, Jonathan; Jain, Bhuvnesh
  • Monthly Notices of the Royal Astronomical Society, Vol. 491, Issue 4
  • DOI: 10.1093/mnras/stz2761

Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies
journal, April 2018

  • Hoyle, B.; Gruen, D.; Bernstein, G. M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 478, Issue 1
  • DOI: 10.1093/mnras/sty957

Dark Energy Survey year 1 results: Galaxy clustering for combined probes
journal, August 2018

Intrinsic alignment-lensing interference as a contaminant of cosmic shear
journal, September 2004

Measurements of Ω and Λ from 42 High‐Redshift Supernovae
journal, June 1999

  • Perlmutter, S.; Aldering, G.; Goldhaber, G.
  • The Astrophysical Journal, Vol. 517, Issue 2
  • DOI: 10.1086/307221

Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data
journal, March 2019

  • Hikage, Chiaki; Oguri, Masamune; Hamana, Takashi
  • Publications of the Astronomical Society of Japan, Vol. 71, Issue 2
  • DOI: 10.1093/pasj/psz010

redMaGiC: selecting luminous red galaxies from the DES Science Verification data
journal, May 2016

  • Rozo, E.; Rykoff, E. S.; Abate, A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 461, Issue 2
  • DOI: 10.1093/mnras/stw1281

Dark Energy Survey year 1 results: galaxy sample for BAO measurement
journal, September 2018

  • Crocce, M.; Ross, A. J.; Sevilla-Noarbe, I.
  • Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 2
  • DOI: 10.1093/mnras/sty2522

The VIMOS Public Extragalactic Survey (VIPERS): First Data Release of 57 204 spectroscopic measurements
journal, January 2014

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