Fröhlich, C. ; Perego, A. ; Hempe, M. ; Ebinger, K. ; Eichler, M. ; Casanova, J. ; Liebendörfer, M. ; Thielemann, F-K. (2024)
PUSHing core-collapse simulations to explosion.
In: Journal of Physics: Conference Series, 2018, 940 (1)
doi: 10.26083/tuprints-00020913
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | PUSHing core-collapse simulations to explosion |
Language: | English |
Date: | 7 May 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2018 |
Place of primary publication: | Bristol |
Publisher: | IOP Publishing |
Journal or Publication Title: | Journal of Physics: Conference Series |
Volume of the journal: | 940 |
Issue Number: | 1 |
Collation: | 4 Seiten |
DOI: | 10.26083/tuprints-00020913 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | We report on the PUSH method for artificially triggering core-collapse supernova explosions of massive stars in spherical symmetry. The PUSH method increases the energy deposition in the gain region proportionally to the heavy flavor neutrino fluxes.We summarize the parameter dependence of the method and calibrate PUSH to reproduce SN 1987A observables. We identify a best-fit progenitor and set of parameters that fit the explosion properties of SN 1987A, assuming 0.1 M⊙ of fallback. For the explored progenitor range of 18-21 M⊙, we find correlations between explosion properties and the compactness of the progenitor model. |
Identification Number: | Artikel-ID: 012001 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-209138 |
Additional Information: | Nuclear Physics in Astrophysics Conference (NPA VII) 18–22 May 2015, York, UK |
Classification DDC: | 500 Science and mathematics > 530 Physics |
Divisions: | 05 Department of Physics > Institute of Nuclear Physics |
Date Deposited: | 07 May 2024 13:50 |
Last Modified: | 17 May 2024 08:06 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20913 |
PPN: | 518015491 |
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