scholarly journals Mitigating the impact of fiber assignment on clustering measurements from deep galaxy redshift surveys

2020 ◽  
Vol 2020 (06) ◽  
pp. 057-057
Author(s):  
Tomomi Sunayama ◽  
Masahiro Takada ◽  
Martin Reinecke ◽  
Ryu Makiya ◽  
Takahiro Nishimichi ◽  
...  
2019 ◽  
Vol 491 (3) ◽  
pp. 4162-4179 ◽  
Author(s):  
Atsushi Taruya ◽  
Shohei Saga ◽  
Michel-Andrès Breton ◽  
Yann Rasera ◽  
Tomohiro Fujita

ABSTRACT Redshift-space distortions (RSD) in galaxy redshift surveys generally break both the isotropy and homogeneity of galaxy distribution. While the former aspect is particularly highlighted as a probe of growth of structure induced by gravity, the latter aspect, often quoted as wide-angle RSD but ignored in most of the cases, will become important and critical to account for as increasing the statistical precision in next-generation surveys. However, the impact of wide-angle RSD has been mostly studied using linear perturbation theory. In this paper, employing the Zel’dovich approximation, i.e. first-order Lagrangian perturbation theory for gravitational evolution of matter fluctuations, we present a quasi-linear treatment of wide-angle RSD, and compute the cross-correlation function. The present formalism consistently reproduces linear theory results, and can be easily extended to incorporate relativistic corrections (e.g. gravitational redshift).


2004 ◽  
Vol 350 (4) ◽  
pp. 1153-1173 ◽  
Author(s):  
Xiaohu Yang ◽  
H. J. Mo ◽  
Y. P. Jing ◽  
Frank C. van den Bosch ◽  
YaoQuan Chu

2004 ◽  
Vol 70 (4) ◽  
Author(s):  
Julien Lesgourgues ◽  
Sergio Pastor ◽  
Laurence Perotto

2014 ◽  
Vol 11 (S308) ◽  
pp. 77-86
Author(s):  
Adi Nusser

AbstractThe phase space distribution of matter out to ∼ 100 \rm Mpc is probed by two types of observational data: galaxy redshift surveys and peculiar motions of galaxies. Important information on the process of structure formation and deviations from standard gravity have been extracted from the accumulating data. The remarkably simple Zel'dovich approximation is the basis for much of our insight into the dynamics of structure formation and the development of data analyses methods. Progress in the methodology and some recent results is reviewed.


2017 ◽  
Vol 849 (2) ◽  
pp. 84 ◽  
Author(s):  
Yuting Wang ◽  
Lixin Xu ◽  
Gong-Bo Zhao

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