140 citations · 251 across the 6 of their papers we have counts for
6 papers
The VIMOS Public Extragalactic Redshift Survey (VIPERS): PCA-based automatic cleaning and reconstruction of survey spectra
A. Marchetti, B. Garilli, B. R. Granett +34
Identifying spurious reduction artefacts in galaxy spectra is a challenge for large surveys. We present an algorithm for identifying and repairing residual spurious features in sky…
VIMOS Public Extragalactic Redshift Survey (VIPERS). The distinct build-up of dense and normal massive passive galaxies
A. Gargiulo, M. Bolzonella, M. Scodeggio +36
We use the final data from the VIPERS redshift survey to extract an unparalleled sample of more than 2000 massive M > 10^11 M_sun passive galaxies (MPGs) at redshift 0.5 < z < 1.0,…
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Galaxy segregation inside filaments at
N. Malavasi, S. Arnouts, D. Vibert +42
We present the first quantitative detection of large-scale filamentary structure at in the large cosmological volume probed by the VIMOS Public Extragalactic Redshif…
The VIMOS Public Extragalactic Redshift Survey (VIPERS): Reconstruction of the redshift-space galaxy density field
B. R. Granett, E. Branchini, L. Guzzo +43
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 correlation…
The VIMOS Public Extragalactic Redshift Survey (VIPERS): On the correct recovery of the count-in-cell probability distribution function
J. Bel, E. Branchini, C. Di Porto +45
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 sampl…
The VIMOS Public Extragalactic Redshift Survey - Searching for Cosmic Voids
D. Micheletti, A. Iovino, A. J. Hawken +46
The characterisation of cosmic voids gives unique information about the large-scale distribution of galaxies, their evolution and the cosmological model. We identify and characteri…