HiZELS: a high redshift survey of H-alpha emitters. II: the nature of star-forming galaxies at z=0.84
D. Sobral (1), P. N. Best (1), J. E. Geach (2), Ian Smail (2), J. Kurk, (3), M. Cirasuolo (1), M. Casali (4), R. J. Ivison (5), K. Coppin (2), G. B., Dalton (6) ((1) IfA Edinburgh, (2) Durham, (3) MPIA, (4) ESO, (5) IfA/ATC, Edinburgh, (6) Oxford)

TL;DR
This large survey of H-alpha emitters at z=0.84 provides detailed insights into the evolution of star-forming galaxies, confirming a strong increase in star formation rate density up to z~1 and highlighting the roles of disk galaxies and mergers.
Contribution
First large, deep H-alpha survey at z=0.84 using narrow-band imaging, providing robust luminosity functions and insights into galaxy evolution and star formation history.
Findings
Confirmed strong evolution of SFRD from z=0 to z~1
Disk galaxies dominate at z=0.84, with mergers contributing significantly
Luminosity function characterized by Schechter parameters with L* increasing with redshift
Abstract
New results from a large survey of H-alpha emission-line galaxies at z=0.84 using WFCAM/UKIRT and a custom narrow-band filter in the J band are presented as part of the HiZELS survey. Reaching an effective flux limit of 1e-16 erg/s/cm^2 in a comoving volume of 1.8e5 Mpc^3, this represents the largest and deepest survey of its kind ever done at z~1. There are 1517 potential line emitters detected across 1.4 sq.deg of the COSMOS and UKIDSS UDS fields, of which 743 are selected as H-alpha emitters. These are used to calculate the H-alpha luminosity function, which is well-fitted by a Schechter function with phi*=10^(-1.92+-0.10) Mpc^-3, L*=10^(42.26+-0.05)erg/s, and alpha=-1.65+-0.15. The integrated star formation rate density (SFRD) at z=0.845 is 0.15+-0.01 M_sun/yr/Mpc^3. The results robustly confirm a strong evolution of SFRD from the present day out to z~1 and then flattening to z~2,…
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.
