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Improved correction of VIPERS angular selection effects in clustering measurements

Published online by Cambridge University Press:  12 October 2016

A. Pezzotta ,
B.R. Granett ,
J. Bel ,
L. Guzzo ,
S. de la Torre  and
and VIPERS team
A. Pezzotta
Affiliation:
Università di Milano Bicocca, Milano, Italy INAF - Osservatorio Astronomico di Brera, Merate(LC), Italy
B.R. Granett
Affiliation:
INAF - Osservatorio Astronomico di Brera, Merate(LC), Italy
J. Bel
Affiliation:
INAF - Osservatorio Astronomico di Brera, Merate(LC), Italy
L. Guzzo
Affiliation:
Università di Milano Bicocca, Milano, Italy INAF - Osservatorio Astronomico di Brera, Merate(LC), Italy
S. de la Torre
Affiliation:
Aix, Marseille Université, CNRS, LAM, Marseille, France email: pezzotta@brera.inaf.it
and VIPERS team
Affiliation:
http://vipers.inaf.itfor the full member list
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Abstract

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Clustering estimates in galaxy redshift surveys need to account and correct for the way targets are selected from the general population, as to avoid biasing the measured values of cosmological parameters. The VIMOS Public Extragalactic Redshift Survey (VIPERS) is no exception to this, involving slit collisions and masking effects. Pushed by the increasing precision of the measurements, e.g. of the growth rate f, we have been re-assessing these effects in detail. We present here an improved correction for the two-point correlation function, capable to recover the amplitude of the monopole of the two-point correlation function ξ(r) above 1 h-1 Mpc to better than 2.

Keywords

Large-scale structureclusteringcosmological parameters
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , Symposium S308: The Zeldovich Universe: Genesis and Growth of the Cosmic Web , June 2014 , pp. 167 - 168
Copyright
Copyright © International Astronomical Union 2016 

References

Guzzo, L., the VIPERS team, 2014, A&A, 566, A108 Google Scholar
de la Torre, S., the VIPERS team, 2013, A&A, 557, A54 Google Scholar
Pollo, A., et al., 2005, A&A 439 887–900 Google Scholar