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arXiv 1906.01136astro-ph.CO
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用DES成像制备BOSS-CMASS样品

Producing a BOSS-CMASS sample with DES imaging

S. Lee, E. M. Huff, A. J. Ross, A. Choi, C. Hirata, K. Honscheid, N. MacCrann, M. A. Troxel, C. Davis, T. F. Eifler, R. Cawthon, J. Elvin-Poole, J. Annis, S. Av… 展开作者

S. Lee, E. M. Huff, A. J. Ross, A. Choi, C. Hirata, K. Honscheid, N. MacCrann, M. A. Troxel, C. Davis, T. F. Eifler, R. Cawthon, J. Elvin-Poole, J. Annis, S. Avila, E. Bertin, D. Brooks, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, L. N. da Costa, J. De Vicente, S. Desai, B. Flaugher, P. Fosalba, J. García-Bellido, E. Gaztanaga, D. W. Gerdes, D. Gruen, R. A. Gruendl, J. Gschwend, G. Gutierrez, D. L. Hollowood, D. J. James, T. Jeltema, K. Kuehn, M. Lima, M. A. G. Maia, J. L. Marshall, P. Martini, P. Melchior, F. Menanteau, C. J. Miller, R. Miquel, R. L. C. Ogando, A. Palmese, A. A. Plazas, E. Sanchez, V. Scarpine, M. Schubnell, S. Serrano, I. Sevilla-Noarbe, M. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E. C. Swanson, G. Tarle, D. Thomas, J. Weller, J. Zuntz

摘要:

我们提出了一个样本的星系与暗能量调查(DES)测光复制的BOSS CMASS样本的属性。斯隆数字巡天(SDSS)合作对CMASS星系样本进行了很好的表征,并用于获得迄今为止最强大的红移空间星系团测量。联合分析红移空间的扭曲(如从SDSS的CMASS探测)和星系星系透镜测量的等效样本DES可以提供强大的宇宙学约束。不幸的是,DES和SDSS-BOSS的足迹只有很小的重叠,主要是在SDSS条纹82区域附近的天球赤道上。利用这种重叠,我们建立了一个强大的贝叶斯模型,以选择CMASS类星系的DES足迹的其余部分。新定义的DES-CMASS(DMASS)样本由117,293个有效星系组成,覆盖$1,244 {\rm deg}^2$。通过各种验证测试,我们表明该模型选择的DMASS样本与BOSS CMASS样本匹配良好,特别是在包括条纹82的南银河帽(SGC)区域。结合角关联函数和DMASS的聚集z分布的测量,我们将BOSS CMASS和DMASS样本之间的平均星系偏差和平均红移的差异限制为:对于CMASS的SGC部分,$Δb = 0.010^{+0.045}_{-0.052}$和$Δz = \left( 3.46^{+5.48}_{-5.55} \right) \times 10^{-3}$;对于全CMASS样本,$Δb = 0.044^{+0.044}_{-0.043} $和$Δz= ( 3.51^{+4.93}_{-5.91}) \times 10^{-3}$。这些值表明,星系的平均偏差和平均红移的DMASS样品是一致的$1σ$内的两个CMASS样品。

英文摘要:

We present a sample of galaxies with the Dark 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 $1,244 {\rm deg}^2$. 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 $Δz = \left( 3.46^{+5.48}_{-5.55} \right) \times 10^{-3}$ for the SGC portion of CMASS, and $Δb = 0.044^{+0.044}_{-0.043} $ and $Δz= ( 3.51^{+4.93}_{-5.91}) \times 10^{-3}$ for the full CMASS sample. These values indicate that the mean bias of galaxies and mean redshift in the DMASS sample is consistent with both CMASS samples within $1σ$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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