Skip to content
Back to outputs

Producing a BOSS CMASS sample with DES imaging

Research output: Contribution to journalArticlepeer-review

Standard

Producing a BOSS CMASS sample with DES imaging. / DES Collaboration ; Thomas, D.

In: Monthly Notices of the Royal Astronomical Society, Vol. 489, No. 2, 01.10.2019, p. 2887-2906.

Research output: Contribution to journalArticlepeer-review

Harvard

DES Collaboration & Thomas, D 2019, 'Producing a BOSS CMASS sample with DES imaging', Monthly Notices of the Royal Astronomical Society, vol. 489, no. 2, pp. 2887-2906. https://doi.org/10.1093/mnras/stz2288

APA

DES Collaboration, & Thomas, D. (2019). Producing a BOSS CMASS sample with DES imaging. Monthly Notices of the Royal Astronomical Society, 489(2), 2887-2906. https://doi.org/10.1093/mnras/stz2288

Vancouver

DES Collaboration, Thomas D. Producing a BOSS CMASS sample with DES imaging. Monthly Notices of the Royal Astronomical Society. 2019 Oct 1;489(2):2887-2906. https://doi.org/10.1093/mnras/stz2288

Author

DES Collaboration ; Thomas, D. / Producing a BOSS CMASS sample with DES imaging. In: Monthly Notices of the Royal Astronomical Society. 2019 ; Vol. 489, No. 2. pp. 2887-2906.

Bibtex

@article{ea64ecd799884ce89c523a566bb2591d,
title = "Producing a BOSS CMASS sample with DES imaging",
abstract = "We present a sample of galaxies with theDark Energy Survey (DES) photometry that replicates the properties of the BOSS CMASS sample. The CMASS galaxy sample has been well characterized by the Sloan Digital Sky Survey (SDSS) collaboration and was used to obtain the most powerful redshift-space galaxy clustering measurements to date. A joint analysis of redshift-space distortions (such as those probed by CMASS from SDSS) and a galaxy-galaxy lensing measurement for an equivalent sample from DES can provide powerful cosmological constraints. Unfortunately, the DES and SDSS-BOSS footprints have only minimal overlap, primarily on the celestial equator near the SDSS Stripe 82 region. Using this overlap, we build a robust Bayesian model to select CMASS-like galaxies in the remainder of the DES footprint. The newly defined DES-CMASS (DMASS) sample consists of 117 293 effective galaxies covering 1244 deg2. Through various validation tests, we show that the DMASS sample selected by this model matches well with the BOSS CMASS sample, specifically in the South Galactic cap (SGC) region that includes Stripe 82. Combining measurements of the angular correlation function and the clustering-z distribution of DMASS, we constrain the difference in mean galaxy bias and mean redshift between the BOSS CMASS and DMASS samples to be Δb = 0.010+0.045 -0.052 and Δz = (3.46+5.48 -5.55) × 10-3 for the SGC portion of CMASS, and Δb = 0.044+0.044 -0.043 and Δz = (3.51+4.93 -5.91) × 10-3 for the full CMASS sample. These values indicate that the mean bias of galaxies and mean redshift in the DMASS sample are consistent with both CMASS samples within 1σ.",
keywords = "Galaxies: General, Methods: Data analysis, Techniques: Photometric, RCUK, STFC",
author = "{DES Collaboration} and S. Lee and Huff, {E. M.} and Ross, {A. J.} and A. Choi and C. Hirata and K. Honscheid and N. MacCrann and Troxel, {M. A.} and C. Davis and Eifler, {T. F.} and R. Cawthon and J. Elvin-Poole and J. Annis and S. Avila and E. Bertin and D. Brooks and {Carnero Rosell}, A. and {Carrasco Kind}, M. and J. Carretero and {Da Costa}, {L. N.} and {De Vicente}, J. and S. Desai and B. Flaugher and P. Fosalba and J. Garc{\'i}a-Bellido and E. Gaztanaga and Gerdes, {D. W.} and D. Gruen and Gruendl, {R. A.} and J. Gschwend and G. Gutierrez and Hollowood, {D. L.} and James, {D. J.} and T. Jeltema and K. Kuehn and M. Lima and Maia, {M. A.G.} and Marshall, {J. L.} and P. Martini and P. Melchior and F. Menanteau and Miller, {C. J.} and R. Miquel and Ogando, {R. L.C.} and A. Palmese and Plazas, {A. A.} and E. Sanchez and V. Scarpine and M. Schubnell and D. Thomas",
year = "2019",
month = oct,
day = "1",
doi = "10.1093/mnras/stz2288",
language = "English",
volume = "489",
pages = "2887--2906",
journal = "MNRAS",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "2",

}

RIS

TY - JOUR

T1 - Producing a BOSS CMASS sample with DES imaging

AU - DES Collaboration

AU - Lee, S.

AU - Huff, E. M.

AU - Ross, A. J.

AU - Choi, A.

AU - Hirata, C.

AU - Honscheid, K.

AU - MacCrann, N.

AU - Troxel, M. A.

AU - Davis, C.

AU - Eifler, T. F.

AU - Cawthon, R.

AU - Elvin-Poole, J.

AU - Annis, J.

AU - Avila, S.

AU - Bertin, E.

AU - Brooks, D.

AU - Carnero Rosell, A.

AU - Carrasco Kind, M.

AU - Carretero, J.

AU - Da Costa, L. N.

AU - De Vicente, J.

AU - Desai, S.

AU - Flaugher, B.

AU - Fosalba, P.

AU - García-Bellido, J.

AU - Gaztanaga, E.

AU - Gerdes, D. W.

AU - Gruen, D.

AU - Gruendl, R. A.

AU - Gschwend, J.

AU - Gutierrez, G.

AU - Hollowood, D. L.

AU - James, D. J.

AU - Jeltema, T.

AU - Kuehn, K.

AU - Lima, M.

AU - Maia, M. A.G.

AU - Marshall, J. L.

AU - Martini, P.

AU - Melchior, P.

AU - Menanteau, F.

AU - Miller, C. J.

AU - Miquel, R.

AU - Ogando, R. L.C.

AU - Palmese, A.

AU - Plazas, A. A.

AU - Sanchez, E.

AU - Scarpine, V.

AU - Schubnell, M.

AU - Thomas, D.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - We present a sample of galaxies with theDark Energy Survey (DES) photometry that replicates the properties of the BOSS CMASS sample. The CMASS galaxy sample has been well characterized by the Sloan Digital Sky Survey (SDSS) collaboration and was used to obtain the most powerful redshift-space galaxy clustering measurements to date. A joint analysis of redshift-space distortions (such as those probed by CMASS from SDSS) and a galaxy-galaxy lensing measurement for an equivalent sample from DES can provide powerful cosmological constraints. Unfortunately, the DES and SDSS-BOSS footprints have only minimal overlap, primarily on the celestial equator near the SDSS Stripe 82 region. Using this overlap, we build a robust Bayesian model to select CMASS-like galaxies in the remainder of the DES footprint. The newly defined DES-CMASS (DMASS) sample consists of 117 293 effective galaxies covering 1244 deg2. Through various validation tests, we show that the DMASS sample selected by this model matches well with the BOSS CMASS sample, specifically in the South Galactic cap (SGC) region that includes Stripe 82. Combining measurements of the angular correlation function and the clustering-z distribution of DMASS, we constrain the difference in mean galaxy bias and mean redshift between the BOSS CMASS and DMASS samples to be Δb = 0.010+0.045 -0.052 and Δz = (3.46+5.48 -5.55) × 10-3 for the SGC portion of CMASS, and Δb = 0.044+0.044 -0.043 and Δz = (3.51+4.93 -5.91) × 10-3 for the full CMASS sample. These values indicate that the mean bias of galaxies and mean redshift in the DMASS sample are consistent with both CMASS samples within 1σ.

AB - We present a sample of galaxies with theDark Energy Survey (DES) photometry that replicates the properties of the BOSS CMASS sample. The CMASS galaxy sample has been well characterized by the Sloan Digital Sky Survey (SDSS) collaboration and was used to obtain the most powerful redshift-space galaxy clustering measurements to date. A joint analysis of redshift-space distortions (such as those probed by CMASS from SDSS) and a galaxy-galaxy lensing measurement for an equivalent sample from DES can provide powerful cosmological constraints. Unfortunately, the DES and SDSS-BOSS footprints have only minimal overlap, primarily on the celestial equator near the SDSS Stripe 82 region. Using this overlap, we build a robust Bayesian model to select CMASS-like galaxies in the remainder of the DES footprint. The newly defined DES-CMASS (DMASS) sample consists of 117 293 effective galaxies covering 1244 deg2. Through various validation tests, we show that the DMASS sample selected by this model matches well with the BOSS CMASS sample, specifically in the South Galactic cap (SGC) region that includes Stripe 82. Combining measurements of the angular correlation function and the clustering-z distribution of DMASS, we constrain the difference in mean galaxy bias and mean redshift between the BOSS CMASS and DMASS samples to be Δb = 0.010+0.045 -0.052 and Δz = (3.46+5.48 -5.55) × 10-3 for the SGC portion of CMASS, and Δb = 0.044+0.044 -0.043 and Δz = (3.51+4.93 -5.91) × 10-3 for the full CMASS sample. These values indicate that the mean bias of galaxies and mean redshift in the DMASS sample are consistent with both CMASS samples within 1σ.

KW - Galaxies: General

KW - Methods: Data analysis

KW - Techniques: Photometric

KW - RCUK

KW - STFC

UR - http://www.scopus.com/inward/record.url?scp=85075159035&partnerID=8YFLogxK

UR - https://discovery.ucl.ac.uk/id/eprint/10084585/

U2 - 10.1093/mnras/stz2288

DO - 10.1093/mnras/stz2288

M3 - Article

AN - SCOPUS:85075159035

VL - 489

SP - 2887

EP - 2906

JO - MNRAS

JF - MNRAS

SN - 0035-8711

IS - 2

ER -

ID: 18597336