Impact of H_2-based star formation model on the z>=6 luminosity function and the ionizing photon budget for reionization
Jason Jaacks, Robert Thompson, Kentaro Nagamine

TL;DR
This study uses cosmological simulations with an H_2-based star formation model to analyze its effects on the galaxy luminosity function at high redshift and the implications for cosmic reionization, revealing fewer low-luminosity galaxies but sustained reionization capability.
Contribution
It introduces an H_2-based star formation model into cosmological simulations and examines its impact on the UV luminosity function and reionization at z>=6.
Findings
Fewer low-luminosity galaxies at Muv>-18 with the H_2 model.
The turnover point in the luminosity function evolves from Muv=-17.33 to -15.38 between z=8 and z=6.
Total star formation rate density remains sufficient for reionization despite reduced low-luminosity galaxy numbers.
Abstract
We present the results of a numerical study examining the effect of H_2-based star formation (SF) model on the rest-frame UV luminosity function and star formation rate function (SFRF) of z>=6 galaxies, and the implications for reionization. Using cosmological hydrodynamical simulations outfitted with an H_2-SF model, we find good agreement with our previous results (non-H_2 SF model) and observations at Muv<=-18. However at Muv>-18, we find that the LF deviates from both our previous work and current observational extrapolations, producing significantly fewer low-luminosity galaxies and exhibiting additional turnover at the faint end. We constrain the redshift evolution of this turnover point using a modified Schechter function that includes additional terms to quantify the turnover magnitude (Muv^t) and subsequent slope (Beta). We find that Muv^t evolves from Muv^t=-17.33 (at z=8) to…
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.
