Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal
Jaehong Park (1), Andrei Mesinger (1), Bradley Greig (2,3), Nicolas, Gillet (1) ((1) Scuola Normale Superiore, (2) ARC Centre of Excellence for, All-Sky Astrophysics in 3 Dimensions (ASTRO 3D) (3) School of Physics, The, University of Melbourne)

TL;DR
This paper introduces a flexible, physically-motivated model for high-redshift galaxy properties, combining galaxy luminosity functions and 21-cm signal observations to constrain astrophysical parameters related to cosmic dawn and reionization.
Contribution
It develops a new parametrization integrated into 21cmFAST, enabling joint inference from UV luminosity functions and 21-cm data, improving constraints on galaxy properties during reionization.
Findings
Galaxy stellar mass scaling constrained by UV luminosity functions.
21-cm observations mainly constrain remaining galaxy properties.
All eight astrophysical parameters can be constrained within 10%.
Abstract
The properties of the first galaxies, expected to drive the Cosmic Dawn (CD) and the Epoch of Reionization (EoR), are encoded in the 3D structure of the cosmic 21-cm signal. Parameter inference from upcoming 21-cm observations promises to revolutionize our understanding of these unseen galaxies. However, prior inference was done using models with several simplifying assumptions. Here we introduce a flexible, physically-motivated parametrization for high- galaxy properties, implementing it in the public code 21cmFAST. In particular, we allow their star formation rates and ionizing escape fraction to scale with the masses of their host dark matter halos, and directly compute inhomogeneous, sub-grid recombinations in the intergalactic medium. Combining current Hubble observations of the rest-frame UV luminosity function (UV LFs) at high- with a mock 1000h 21-cm observation using the…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
