The VIMOS Public Extragalactic Redshift Survey (VIPERS). A precise measurement of the galaxy stellar mass function and the abundance of massive galaxies at redshifts 0.5<z<1.3
I. Davidzon, M. Bolzonella, J. Coupon, O. Ilbert, S. Arnouts, S. de la, Torre, A. Fritz, G. De Lucia, A. Iovino, B. R. Granett, G. Zamorani, L., Guzzo, U. Abbas, C. Adami, J. Bel, D. Bottini, E. Branchini, A. Cappi, O., Cucciati, P. Franzetti, M. Fumana, B. Garilli, J. Krywult

TL;DR
This study uses VIPERS data to precisely measure the evolution of the galaxy stellar mass function from redshift 1.3 to 0.5, revealing insights into galaxy mass assembly, the evolution of galaxy types, and mass-dependent quenching processes.
Contribution
First detailed measurement of the high-mass tail of the galaxy stellar mass function at 0.5<z<1.3 with unprecedented accuracy, including analysis of blue and red galaxy populations.
Findings
Massive galaxies had already assembled most of their stellar mass by z~1.
The transition mass from blue to red dominance evolves as (1+z)^3.
Red galaxies show milder evolution at high masses, blue massive galaxies disappear below z=0.7.
Abstract
We measure the evolution of the galaxy stellar mass function from z=1.3 to z=0.5 using the first 53,608 redshifts of the ongoing VIMOS Public Extragalactic Survey (VIPERS). We estimate the galaxy stellar mass function at several epochs discussing in detail the amount of cosmic variance affecting our estimate. We find that Poisson noise and cosmic variance of the galaxy mass function in the VIPERS survey are comparable with the statistical uncertainties of large surveys in the local universe. VIPERS data allow us to determine with unprecedented accuracy the high-mass tail of the galaxy stellar mass function, which includes a significant number of galaxies that are usually too rare to detect with any of the past spectroscopic surveys. At the epochs sampled by VIPERS, massive galaxies had already assembled most of their stellar mass. We apply a photometric classification in the (U-V)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
