A new statistical model for Population III supernova rates: discriminating between ΛCDM and WDM cosmologies

2016/06/30 by Mattis Magg, Tilman Hartwig, Simon C. O. Glover +2 · 1 citation
Physics and Astronomy · #Astronomy #Astrophysics #Astrophysics and Cosmic Phenomena #COSMIC cancer database #Cosmology #Galaxies: Formation, Evolution, Phenomena #Gamma-ray bursts and supernovae #Physics #Population #Stars #Supernova #astro-ph.CO #astro-ph.GA

paper · pdf · doi:10.1093/mnras/stw1882

published as 2016 MNRAS, 462, 3591 · 12 pages, 6 figures, published in MNRAS

openalex created_date 2016/07/22 · openalex publication_date 2016/07/30 · arxiv created 2016/09/19 · arxiv updated 2016/09/20 · openalex updated_date 2026/08/05

Abstract

With new observational facilities becoming available soon, discovering and characterizing supernovae from the first stars will open up alternative observational windows to the end of the cosmic dark ages. Based on a semi-analytical merger tree model of early star formation, we constrain Population III supernova rates. We find that our method reproduces the Population III supernova rates of large-scale cosmological simulations very well. Our computationally efficient model allows us to survey a large parameter space and to explore a wide range of different scenarios for Population III star formation. Our calculations show that observations of the first supernovae can be used to differentiate between cold and warm dark matter models and to constrain the corresponding particle mass of the latter. Our predictions can also be used to optimize survey strategies with the goal to maximize supernova detection rates.

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Cited by

• Detection strategies for the first supernovae with JWST