Progenitor dependence of neutrino-driven supernova explosions with the aid of heavy axionlike particles

We perform spherically symmetric simulations of core-collapse supernovae with the aid of heavy axionlike particles (ALPs) which interact with photons and redistribute energy within supernova matter. We explore a wide ALP parameter space that includes MeV-scale ALP mass ${m}_{a}$ and the ALP-photon coupling constant ${g}_{a\ensuremath{\gamma}}\ensuremath{\sim}{10}^{\ensuremath{-}10}\text{ }\text{ }{\mathrm{GeV}}^{\ensuremath{-}1}$, employing three progenitor models with zero-age main-sequence mass of $11.2{M}_{\ensuremath{\bigodot}}$, $20.0{M}_{\ensuremath{\bigodot}}$, and $25.0{M}_{\ensuremath{\bigodot}}$. We find a general trend that, given ${m}_{a}\ensuremath{\lesssim}300\text{ }\text{ }\mathrm{MeV}$, heavier ALPs are favorable for the shock wave to be successfully revived, aiding the onset of the neutrino-driven explosion. However, if ALPs are heavier than $\ensuremath{\sim}400\text{ }\text{ }\mathrm{MeV}$, the explosion is failed or weaker than that for the models with smaller ${m}_{a}$, because of an insufficient temperature inside the supernova core to produce heavy ALPs. The maximum temperature in the core depends on the initial progenitor structure. Our simulations indicate that the high-temperature environment in the collapsing core of massive progenitors leads to a significant impact of ALPs on the explodability.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2025-05-14
DOI
https://doi.org/10.1103/physrevd.111.103028
Citations
3
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
5.61

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article

Progenitor dependence of neutrino-driven supernova explosions with the aid of heavy axionlike particles

Kanji Mori, Ko Nakamura, Tsurugi Takata, Kei Kotake
3 citations
Physical review. D/Physical review. D.
Dark Matter and Cosmic Phenomena
5.61
article

Progenitor dependence of neutrino-driven supernova explosions with the aid of heavy axionlike particles

Kanji Mori, Ko Nakamura, Tsurugi Takata, Kei Kotake
article en
3 citations

Abstract

We perform spherically symmetric simulations of core-collapse supernovae with the aid of heavy axionlike particles (ALPs) which interact with photons and redistribute energy within supernova matter. We explore a wide ALP parameter space that includes MeV-scale ALP mass ${m}_{a}$ and the ALP-photon coupling constant ${g}_{a\ensuremath{\gamma}}\ensuremath{\sim}{10}^{\ensuremath{-}10}\text{ }\text{ }{\mathrm{GeV}}^{\ensuremath{-}1}$, employing three progenitor models with zero-age main-sequence mass of $11.2{M}_{\ensuremath{\bigodot}}$, $20.0{M}_{\ensuremath{\bigodot}}$, and $25.0{M}_{\ensuremath{\bigodot}}$. We find a general trend that, given ${m}_{a}\ensuremath{\lesssim}300\text{ }\text{ }\mathrm{MeV}$, heavier ALPs are favorable for the shock wave to be successfully revived, aiding the onset of the neutrino-driven explosion. However, if ALPs are heavier than $\ensuremath{\sim}400\text{ }\text{ }\mathrm{MeV}$, the explosion is failed or weaker than that for the models with smaller ${m}_{a}$, because of an insufficient temperature inside the supernova core to produce heavy ALPs. The maximum temperature in the core depends on the initial progenitor structure. Our simulations indicate that the high-temperature environment in the collapsing core of massive progenitors leads to a significant impact of ALPs on the explodability.

Physical review. D/Physical review. D.Vol. 111(10)
University of Wrocław (PL), Fukuoka University (JP), National Astronomical Observatory of Japan (JP)
Joint Institute for Computational Fundamental Science, Ministry of Education, Culture, Sports, Science and Technology, Fukuoka University, Japan Society for the Promotion of Science
Climate action
Openalex Percentile: Top 5%
Dark Matter and Cosmic Phenomena
5.61
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Progenitor dependence of neutrino-driven supernova explosions with the aid of heavy axionlike particles — Kanji Mori, Ko Nakamura, et al. · Physical review. D/Physical review. D. (2025) | TGRS Research Map | TGRS