We compare three methods to measure the count-in-cell probability density function of galaxies in a spectroscopic redshift survey. From this comparison we found that, when the sampling is low (the average number of object per cell is around unity), it is necessary to use a parametric method to model the galaxy distribution. We used a set of...
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2016 (v1)PublicationUploaded on: April 14, 2023
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2015 (v1)Publication
Aims: Using the VIMOS Public Extragalactic Redshift Survey (VIPERS) we aim to jointly estimate the keyparameters that describe the galaxy density field and its spatial correlations in redshift space. Methods: We use the Bayesian formalism to jointly reconstruct the redshift-space galaxy density field, power spectrum, galaxy bias and galaxy...
Uploaded on: April 14, 2023 -
2016 (v1)PublicationThe VIMOS Public Extragalactic Redshift Survey (VIPERS): Measuring non-linear galaxy bias at z ∼ 0.8
Aims. We use the first release of the VImos Public Extragalactic Redshift Survey of galaxies (VIPERS) of ∼50 000 objects to measure the biasing relation between galaxies and mass in the redshift range z = [0.5,1.1]. Methods. We estimate the 1-point distribution function [PDF] of VIPERS galaxies from counts in cells and, assuming a model for the...
Uploaded on: April 14, 2023 -
2015 (v1)Publication
We investigate redshift evolution of the relation between stellar mass, and star formation history for a high quality sample of early-type galaxies (ETGs) observed by the VIMOS Public Extragalactic Redshift Survey (VIPERS). Among nearly 100,000 VIPERS targets more than 22% are ETGs, which makes it a perfect sample to study the star, formation...
Uploaded on: January 31, 2024