Constraints on the Galaxy Formation Models during the Epoch of Reionization with High-redshift Observations
Abstract We use high-resolution N -body dark matter simulations and L-G alaxies semianalytical galaxy formation models to explore the high- z galaxy properties and estimate the budget of ionizing photons. The parameters within L - G alaxies are obtained using a Markov Chain Monte Carlo (MCMC) method with high- z galaxy observations from JWST and other telescopes. We consider two versions of L-G alaxies , with and without dust correction on galaxy UV luminosities. With the best-fit parameters, both L-G alaxies 2015 and L-G alaxies 2020 reproduce well observations of UV luminosity functions, stellar mass functions, star formation rate densities, and ionizing photon emission efficiency. With the assumption of an escape fraction of 20%, all models produce more ionizing photons than the number of hydrogen atoms in the Universe at z > 6. The inclusion of dust correction within MCMC results in higher star formation efficiency, which predicts ∼50% more ionizing photons, with better consistency between the predicted stellar mass functions and observations.
Authors
- B. Ciardi (ORCID: https://orcid.org/0000-0002-5037-310X)
- Ming Li (ORCID: https://orcid.org/0000-0002-1318-4828)
- Qing-Bo Ma (ORCID: https://orcid.org/0000-0001-9493-4565)
- Qi Guo (ORCID: https://orcid.org/0000-0002-7972-3310)
- Anshuman Acharya (ORCID: https://orcid.org/0000-0003-3401-4884)
- Xin Wang (ORCID: https://orcid.org/0000-0002-9373-3865)
- Xiao-Rong Chen
Institutions
- Guizhou Normal University (CN)
- Chinese Academy of Sciences (CN)
- Beijing Normal University (CN)
- Max Planck Institute for Astrophysics (DE)
- National Astronomical Observatories (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- The Astrophysical Journal
- Published
- 2025-06-02
- DOI
- https://doi.org/10.3847/1538-4357/add015
- Citations
- 1
- Primary Topic
- Galaxies: Formation, Evolution, Phenomena
- Type
- article
- Field-Weighted Citation Impact
- 1.15
Funders
- National Natural Science Foundation of China