Comparison of the VIMOS-VLT Deep Survey with the Munich semi-analytical model. II. The colour-density relation up to z=1.5
O. Cucciati, G. De Lucia, E. Zucca, A. Iovino, S. de la Torre, L., Pozzetti, J. Blaizot, G. Zamorani, M. Bolzonella, D. Vergani, S. Bardelli, L., Tresse, A. Pollo

TL;DR
This study compares galaxy colour-density relations up to z=1.5 in observations and semi-analytical models, revealing discrepancies in galaxy luminosity functions and the evolution of galaxy environments, indicating the need for improved galaxy formation models.
Contribution
It provides a detailed comparison between observed galaxy data and semi-analytical models, highlighting areas where models fail to reproduce observed galaxy environmental relations and their evolution.
Findings
Mock catalogues agree with observed luminosity functions at certain redshifts
The colour-density relation in mocks matches observations at z~0.7 but not at higher redshifts
Models lack the observed evolution and inversion of the colour-density relation
Abstract
[Abridged] We perform on galaxy mock catalogues the same colour-density analysis made by Cucciati et al. (2006) on a 5 Mpc/h scale using the VVDS-Deep survey, and compare the results from mocks with observed data. We use mocks with the same flux limits (I=24) as the VVDS (CMOCKS), built using the semi- analytic model by De Lucia & Blaizot (2007) applied to the Millennium Simulation. From CMOCKS, we extracted samples of galaxies mimicking the VVDS observational strategy (OMOCKS). We computed the B-band Luminosity Function LF and the colour-density relation (CDR) in the mocks. We find that the LF in mocks roughly agrees with the observed LF, but at z<0.8 the faint-end slope of the model LF is steeper than the VVDS one. Computing the LF for early and late type galaxies, we show that mocks have an excess of faint early-type and of bright late-type galaxies with respect to data. We find that…
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.
