The Reliability of Type Ia Supernovae Delay Time Distributions Recovered from Galaxy Star Formation Histories
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2024
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| author | Joshi, Bhavin A. Strolger, Louis-Gregory Zenati, Yossef |
| author_facet | Joshi, Bhavin A. Strolger, Louis-Gregory Zenati, Yossef |
| contents | We present a numerical analysis investigating the reliability of type Ia supernova (SN~Ia) delay-time distributions recovered from individual host galaxy star-formation histories. We utilize star-formation histories of mock samples of galaxies generated from the IllustrisTNG simulation at two redshifts to recover delay-time distributions. The delay-time distributions are constructed through piecewise constants as opposed to typically employed parametric forms such as power-laws or Gaussian or skew/log-normal functions. The SN~Ia delay-time distributions are recovered through a Markov Chain Monte Carlo exploration of the likelihood space by comparing the expected SN Ia rate within each mock galaxy to the observed rate. We show that a reduced representative sample of \emph{non-host} galaxies is sufficient to reliably recover delay-time distributions while simultaneously reducing the computational load. We also highlight a potential systematic between recovered delay-time distributions and the mass-weighted ages of the underlying host galaxy stellar population. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_11555 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Reliability of Type Ia Supernovae Delay Time Distributions Recovered from Galaxy Star Formation Histories Joshi, Bhavin A. Strolger, Louis-Gregory Zenati, Yossef Astrophysics of Galaxies We present a numerical analysis investigating the reliability of type Ia supernova (SN~Ia) delay-time distributions recovered from individual host galaxy star-formation histories. We utilize star-formation histories of mock samples of galaxies generated from the IllustrisTNG simulation at two redshifts to recover delay-time distributions. The delay-time distributions are constructed through piecewise constants as opposed to typically employed parametric forms such as power-laws or Gaussian or skew/log-normal functions. The SN~Ia delay-time distributions are recovered through a Markov Chain Monte Carlo exploration of the likelihood space by comparing the expected SN Ia rate within each mock galaxy to the observed rate. We show that a reduced representative sample of \emph{non-host} galaxies is sufficient to reliably recover delay-time distributions while simultaneously reducing the computational load. We also highlight a potential systematic between recovered delay-time distributions and the mass-weighted ages of the underlying host galaxy stellar population. |
| title | The Reliability of Type Ia Supernovae Delay Time Distributions Recovered from Galaxy Star Formation Histories |
| topic | Astrophysics of Galaxies |
| url | https://arxiv.org/abs/2404.11555 |