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The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: combining correlated Gaussian posterior distributions

Research output: Contribution to journalArticle

Author(s)

Ariel G. Sánchez, Jan Niklas Grieb, Salvador Salazar-Albornoz, Shadab Alam, Florian Beutler, Ashley J. Ross, Joel R. Brownstein, Chia-Hsun Chuang, Antonio J. Cuesta, Daniel J. Eisenstein, Francisco-Shu Kitaura, Will J. Percival, Francisco Prada, Sergio Rodríguez-Torres, Hee-Jong Seo, Jeremy Tinker, Rita Tojeiro, Mariana Vargas-Magaña, Jose A. Vazquez, Gong-Bo Zhao

School/Research organisations

Abstract

The cosmological information contained in anisotropic galaxy clustering measurements can often be compressed into a small number of parameters whose posterior distribution is well described by a Gaussian. We present a general methodology to combine these estimates into a single set of consensus constraints that encode the total information of the individual measurements, taking into account the full covariance between the different methods. We illustrate this technique by applying it to combine the results obtained from different clustering analyses,including measurements of the signature of baryon acoustic oscillations and redshift-space distortions, based on a set of mock catalogues of the final SDSS-III Baryon Oscillation Spectroscopic Survey (BOSS). Our results show that the region of the parameter space allowed by the consensus constraints is smaller than that of the individual methods,highlighting the importance of performing multiple analyses on galaxy surveys even when the measurements are highly correlated. This paper is part of a set that analyses the final galaxy clustering data set fromBOSS. The methodology presented here is used in Alam et al. to produce the final cosmological constraints from BOSS.
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Original languageEnglish
Pages (from-to)1493-1501
JournalMonthly Notices of the Royal Astronomical Society
Volume464
Issue number2
Early online date30 Sep 2016
DOIs
Publication statusPublished - Jan 2017

    Research areas

  • Cosmological parameters, Large-scale structure of Universe

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