Aims. Using the VIMOS Public Extragalactic Redshift Survey (VIPERS) we aim to jointly estimate the key parameters 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 luminosity function given the observations and survey selection function. The high-dimensional posterior distribution is explored using the Wiener filter within a Gibbs sampler. We validate the analysis using simulated catalogues and apply it to VIPERS data taking into consideration the inhomogeneous selection function. Results. We present joint constraints on the anisotropic power spectrum as well as the bias and number density of red and blue galaxy classes in luminosity and redshift bins as well as the measurement covariances of these quantities. We find that the inferred galaxy bias and number density parameters are strongly correlated although these are only weakly correlated with the galaxy power spectrum. The power spectrum and redshift-space distortion parameters are in agreement with previous VIPERS results with the value of the growth rate fσ8=0.38 with 18% uncertainty at redshift 0.7.
@article{arxiv.1505.06337,
title = {The VIMOS Public Extragalactic Redshift Survey (VIPERS): Reconstruction of the redshift-space galaxy density field},
author = {B. R. Granett and E. Branchini and L. Guzzo and U. Abbas and C. Adami and S. Arnouts and J. Bel and M. Bolzonella and D. Bottini and A. Cappi and J. Coupon and O. Cucciati and I. Davidzon and G. De Lucia and S. de la Torre and A. Fritz and P. Franzetti and M. Fumana and B. Garilli and O. Ilbert and A. Iovino and J. Krywult and V. Le Brun and O. Le Fèvre and D. Maccagni and K. Małek and F. Marulli and H. J. McCracken and M. Polletta and A. Pollo and M. Scodeggio and L. A. M. Tasca and R. Tojeiro and D. Vergani and A. Zanichelli and A. Burden and C. Di Porto and A. Marchetti and C. Marinoni and Y. Mellier and T. Moutard and L. Moscardini and R. C. Nichol and J. A. Peacock and W. J. Percival and G. Zamorani},
journal= {arXiv preprint arXiv:1505.06337},
year = {2015}
}