The DEEP2 Galaxy Redshift Survey: The Role of Galaxy Environment in the Cosmic Star-Formation History
Michael C. Cooper, Jeffrey A. Newman, Benjamin J. Weiner, Renbin Yan,, Christopher N. A. Willmer, Kevin Bundy, Alison L. Coil, Christopher J., Conselice, Marc Davis, S. M. Faber, Brian F. Gerke, Puragra Guhathakurta,, David C. Koo, Kai G. Noeske

TL;DR
This study investigates how galaxy environment influences star formation at different redshifts, revealing an inversion of the SFR-density relation at z ~ 1 and suggesting environment's limited role in overall cosmic star formation decline.
Contribution
It provides new insights into the evolution of the SFR-density relation from z ~ 1 to z ~ 0, highlighting the emergence of a dense, blue galaxy population at higher redshift.
Findings
Star formation depends on environment at z ~ 0.1, with lower SFR in denser regions.
At z ~ 1, the total SFR-density relation is inverted compared to local universe.
Environment has a minor impact on the overall decline of cosmic star formation since z < 1.
Abstract
Using galaxy samples drawn from the Sloan Digital Sky Survey and the DEEP2 Galaxy Redshift Survey, we study the relationship between star formation and environment at z ~ 0.1 and z ~ 1. We estimate the total star-formation rate (SFR) and specific star-formation rate (sSFR) for each galaxy according to the measured [O II] nebular line luminosity, corrected using empirical calibrations to match more robust SFR indicators. Echoing previous results, we find that in the local Universe star formation depends on environment such that galaxies in regions of higher overdensity, on average, have lower star-formation rates and longer star-formation timescales than their counterparts in lower-density regions. At z ~ 1, we show that the relationship between specific SFR and environment mirrors that found locally. However, we discover that the relationship between total SFR and overdensity at z ~ 1…
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.
