Dark Energy Survey Year 3 Results: clustering redshifts – calibration of the weak lensing source redshift distributions with redMaGiC and BOSS/eBOSS

Journal Article · Thu Nov 18 00:00:00 EST 2021 · Monthly Notices of the Royal Astronomical Society

DOI:https://doi.org/10.1093/mnras/stab3311· OSTI ID:1837391

Gatti, M.; Giannini, G. ; Bernstein, G. M. ; Alarcon, A.; Myles, J. ; Amon, A.; Cawthon, R. ; Troxel, M.; DeRose, J.; Everett, S.; Ross, A. J. ; Rykoff, E. S.; Elvin-Poole, J.; Cordero, J.; Harrison, I. ; Sanchez, C. ; Prat, J. ; Gruen, D. ; Lin, H.; Crocce, M. ; Rozo, E.; Abbott, T. M. C.; Aguena, M.; Allam, S.; Annis, J.; Avila, S.; Bacon, D.; Bertin, E.; Brooks, D.; Burke, D. L.; Rosell, A. Carnero; Kind, M. Carrasco; Carretero, J.; Castander, F. J.; Choi, A.; Conselice, C.; Costanzi, M.; Crocce, M.; da Costa, L. N.; Pereira, M. E. S.; Dawson, K.; Desai, S.; Diehl, H. T.; Eckert, K.; Eifler, T. F.; Evrard, A. E.; Ferrero, I.; Flaugher, B.; Fosalba, P.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; Giannantonio, T.; Gruendl, R. A.; Gschwend, J.; Hinton, S. R.; Hollowood, D. L.; Honscheid, K.; Hoyle, B.; Huterer, D.; James, D. J.; Kuehn, K.; Kuropatkin, N.; Lahav, O.; Lima, M.; MacCrann, N.; Maia, M. A. G.; March, M.; Marshall, J. L.; Melchior, P.; Menanteau, F.; Miquel, R.; Mohr, J. J.; Morgan, R.; Ogando, R. L. C.; Palmese, A.; Paz-Chinchón, F.; Percival, W. J.; Plazas, A. A.; Rodriguez-Monroy, M.; Roodman, A.; Rossi, G.; Samuroff, S.; Sanchez, E.; Scarpine, V.; Secco, L. F.; Serrano, S.; Sevilla-Noarbe, I.; Smith, M.; Soares-Santos, M.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; Thomas, D.; To, C.; Varga, T. N.; Weller, J.; Wilkinson, R. D.

We present the calibration of the Dark Energy Survey Year 3 (DES Y3) weak lensing (WL) source galaxy redshift distributions n(z) from clustering measurements. In particular, we cross-correlate the WL source galaxies sample with redMaGiC galaxies (luminous red galaxies with secure photometric redshifts) and a spectroscopic sample from BOSS/eBOSS to estimate the redshift distribution of the DES sources sample. Two distinct methods for using the clustering statistics are described. The first uses the clustering information independently to estimate the mean redshift of the source galaxies within a redshift window, as done in the DES Y1 analysis. The second method establishes a likelihood of the clustering data as a function of n(z), which can be incorporated into schemes for generating samples of n(z) subject to combined clustering and photometric constraints. Both methods incorporate marginalization over various astrophysical systematics, including magnification and redshift-dependent galaxy-matter bias. We characterize the uncertainties of the methods in simulations; the first method recovers the mean z of tomographic bins to RMS (precision) of ~0.014. Use of the second method is shown to vastly improve the accuracy of the shape of n(z) derived from photometric data. The two methods are then applied to the DES Y3 data.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP)
• Contributing Organization: DES Collaboration
• Grant/Contract Number: AC02-07CH11359; AC02-76SF00515; SC0019193; AC05-00OR22725
• OSTI ID: 1837391
• Alternate ID(s): OSTI ID: 1824815; OSTI ID: 1856260; OSTI ID: 1872939; OSTI ID: 1886476; OSTI ID: 1983759
• Report Number(s): FERMILAB-PUB-20-655-AE; arXiv:2012.08569
• Journal Information: Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Vol. 510 Journal Issue: 1; ISSN 0035-8711
• Publisher: Oxford University Press
• Country of Publication: United Kingdom
• Language: English

Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
galaxies
distances and redshifts
cosmology