The slowly evolving role of environment in a spectroscopic survey of star formation in Mstar > 5E8 Msun galaxies since z=1
Chad R. Greene (1), David G. Gilbank (1,2), Michael L. Balogh (1),, Karl Glazebrook (3), Richard G. Bower (4), Ivan K. Baldry (5), George K.T., Hau (3), I.H. Li (3), Pat McCarthy (6) ((1) University of Waterloo, (2) South, African Astronomical Observatory

TL;DR
This study investigates how environment influences star formation in low-mass galaxies since z=1, finding minimal environmental impact on star formation rates and stellar mass functions over time.
Contribution
It provides new insights into the environmental dependence of star formation in low-mass galaxies across redshifts 0 to 1, using deep spectroscopic surveys.
Findings
No significant evolution of the stellar mass function of star-forming galaxies from z=0 to z=1.
Star formation rates are independent of local environment at z=0.75.
Evolution of low-mass galaxies in dense environments appears more rapid than in the field.
Abstract
We present a deep [OII] emission line survey of faint galaxies (22.5<KAB<24) in the Chandra Deep Field South and the FIRES field. With these data we measure the star formation rate (SFR) in galaxies in the stellar mass range 8.85 < log(M*/Msun) < 9.5 at 0.62<z<0.885, to a limit of SFR = 0.1Msun/yr. The presence of a massive cluster (MS1054-03) in the FIRES field, and of significant large scale structure in the CDFS field, allows us to study the environmental dependence of SFRs amongst this population of low-mass galaxies. Comparing our results with more massive galaxies at this epoch, with our previous survey (ROLES) at the higher redshift z=1, and with SDSS Stripe 82 data, we find no significant evolution of the stellar mass function of star-forming galaxies between z=0 and z=1, and no evidence that its shape depends on environment. The correlation between specific star formation rate…
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.
