Результаты исследований: Научные публикации в периодических изданиях › Обзор литературы
Spatial density fluctuations and selection effects in galaxy redshift surveys. / Labini, F.S.; Tekhanovich, D.; Baryshev, Y.V.
в: Journal of Cosmology and Astroparticle Physics, Том 2014, № 07, 2014, стр. 035.Результаты исследований: Научные публикации в периодических изданиях › Обзор литературы
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TY - JOUR
T1 - Spatial density fluctuations and selection effects in galaxy redshift surveys
AU - Labini, F.S.
AU - Tekhanovich, D.
AU - Baryshev, Y.V.
PY - 2014
Y1 - 2014
N2 - One of the main problems of observational cosmology is to determine the range in which a reliable measurement of galaxy correlations is possible. This corresponds to determining the shape of the correlation function, its possible evolution with redshift and the size and amplitude of large scale structures. Different selection effects, inevitably entering in any observation, introduce important constraints in the measurement of correlations. In the context of galaxy redshift surveys selection effects can be caused by observational techniques and strategies and by implicit assumptions used in the data analysis. Generally all these effects are taken into account by using pair-counting algorithms to measure two-point correlations. We review these methods stressing that they are based on the a-priori assumption that galaxy distribution is spatially homogeneous inside a given sample. We show that, when this assumption is not satisfied by the data, results of the correlation analysis are affected by finite size effe
AB - One of the main problems of observational cosmology is to determine the range in which a reliable measurement of galaxy correlations is possible. This corresponds to determining the shape of the correlation function, its possible evolution with redshift and the size and amplitude of large scale structures. Different selection effects, inevitably entering in any observation, introduce important constraints in the measurement of correlations. In the context of galaxy redshift surveys selection effects can be caused by observational techniques and strategies and by implicit assumptions used in the data analysis. Generally all these effects are taken into account by using pair-counting algorithms to measure two-point correlations. We review these methods stressing that they are based on the a-priori assumption that galaxy distribution is spatially homogeneous inside a given sample. We show that, when this assumption is not satisfied by the data, results of the correlation analysis are affected by finite size effe
KW - large scale structure of the Universe
KW - methods of statistical analysis
KW - redshift surveys
U2 - 10.1088/1475-7516/2014/07/035
DO - 10.1088/1475-7516/2014/07/035
M3 - Literature review
VL - 2014
SP - 035
JO - Journal of Cosmology and Astroparticle Physics
JF - Journal of Cosmology and Astroparticle Physics
SN - 1475-7516
IS - 07
ER -
ID: 7016425