2024-03-29T11:10:01Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1502662022-10-05T07:48:21Zcom_10261_49com_10261_4com_10261_97col_10261_175col_10261_350
Bayesian redshift-space distortions correction from galaxy redshift surveys
Kitaura, Francisco-Shu
Ata, M.
Angulo, R.E.
Chuang, C.H.
Rodríguez-Torres, S.
Monteagudo, C.H.
Prada, Francisco
Yepes, G.
Ministerio de Ciencia e Innovación (España)
Ministerio de Economía y Competitividad (España)
Comunidad de Madrid
Cosmology: theory
Methods: numerical
Methods: observational
Large-scale structure of universe
Galaxies: general
We present a Bayesian reconstruction method which maps a galaxy distribution from redshiftto real-space inferring the distances of the individual galaxies. The method is based on sampling density fields assuming a lognormal prior with a likelihood modelling non-linear stochastic bias. Coherent redshift-space distortions are corrected in a Gibbs-sampling procedure by moving the galaxies from redshift- to real-space according to the peculiar motions derived from the recovered density field using linear theory. The virialized distortions are corrected by sampling candidate real-space positions along the line of sight, which are compatible with the bulk flow corrected redshift-space position adding a random dispersion term in high-density collapsed regions (defined by the eigenvalues of the Hessian). This approach presents an alternative method to estimate the distances to galaxies using the three-dimensional spatial information, and assuming isotropy. Hence the number of applications is very broad. In this work, we show the potential of this method to constrain the growth rate up to k ~ 0.3 h Mpc. Furthermore it could be useful to correct for photometric redshift errors, and to obtain improved baryon acoustic oscillations (BAO) reconstructions. © 2016 The Authors.
CC, SRT, and FP acknowledge support from the Spanish MICINNs Consolider-Ingenio 2010 Programme under grant MultiDark CSD2009-00064, MINECO Centro de Excelencia Severo Ochoa Programme under grant SEV-2012-0249, and grant AYA2014-60641-C2-1-P. GY acknowledge support from the Spanish MINECO under research grants AYA2012-31101, FPA2012-34694, Consolider Ingenio SyeC CSD2007-0050, and from Comunidad de Madrid under ASTROMADRID project (52009/ESP-1496).
Peer Reviewed
2017-05-24T11:03:15Z
2017-05-24T11:03:15Z
2016
2017-05-24T11:03:15Z
artículo
http://purl.org/coar/resource_type/c_6501
doi: 10.1093/mnrasl/slw009
issn: 1745-3933
Monthly Notices of the Royal Astronomical Society: Letters 457: L113- L117 (2016)
http://hdl.handle.net/10261/150266
10.1093/mnrasl/slw009
http://dx.doi.org/10.13039/501100004837
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/100012818
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2014-60641-C2-1-P
Sí
open
Oxford University Press