Galaxy And Mass Assembly (GAMA): Galaxies at the faint end of the Halpha luminosity function
S. Brough (AAO), A.M. Hopkins, R.G. Sharp, M. Gunawardhana, D., Wijesinghe, A.S.G. Robotham, S.P. Driver, I.K. Baldry, S.P. Bamford, J., Liske, J. Loveday, P. Norberg, J.A. Peacock, J.H. Bland-Hawthorn, M.J.I., Brown, E. Cameron, S.M. Croom, C.S. Frenk, C. Foster, D.T. Hill

TL;DR
This study analyzes the faintest Halpha-emitting galaxies in the GAMA survey, revealing they are mostly low-mass, star-forming systems located in low-density environments, with diverse star formation histories.
Contribution
It provides new insights into the properties and environments of the lowest Halpha-luminosity galaxies, highlighting their low mass, isolated nature, and varied star formation histories.
Findings
Most are low-mass systems with median stellar mass 2.5x10^8 Msun.
They predominantly reside in low-density environments (~0.02 galaxy Mpc^-2).
Their specific star formation rates indicate diverse star formation histories.
Abstract
We present an analysis of the properties of the lowest Halpha-luminosity galaxies (L_Halpha<4x10^32 W; SFR<0.02 Msun/yr) in the Galaxy And Mass Assembly (GAMA) survey. These galaxies make up the the rise above a Schechter function in the number density of systems seen at the faint end of the Halpha luminosity function. Above our flux limit we find that these galaxies are principally composed of intrinsically low stellar mass systems (median stellar mass =2.5x10^8 Msun) with only 5/90 having stellar masses M>10^10 Msun. The low SFR systems are found to exist predominantly in the lowest density environments (median density ~0.02 galaxy Mpc^-2 with none in environments more dense than ~1.5 galaxy Mpc^-2). Their current specific star formation rates (SSFR; -8.5 < log(SSFR[yr^-1])<-12.) are consistent with their having had a variety of star formation histories. The low density environments…
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.
