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Extracting high-level information from gamma-ray burst supernova spectra

Ashall, C and Mazzali, PA (2020) Extracting high-level information from gamma-ray burst supernova spectra. Monthly Notices of the Royal Astronomical Society, 492 (4). pp. 5956-5965. ISSN 0035-8711

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Radiation transport codes are often used in astrophysics to construct spectral models. In this work, we demonstrate how producing thesemodels for a time series of data can provide unique information about supernovae (SNe). Unlike previous work, we specifically concentrate on the method for obtaining the best synthetic spectral fits, and the errors associated with the preferred model parameters.We demonstrate how varying the ejecta mass, bolometric luminosity (Lbol) and photospheric velocity (vph), affects the outcome of the synthetic spectra. As an example we analyse the photospheric phase spectra of the GRB-SN 2016jca. It is found that for most epochs (where the afterglow subtraction is small) the error on Lbol and vph was∼5 per cent. The uncertainty on ejectamass and Ekin was found to be∼20 per cent, although this can be expected to dramatically decrease if models of nebular phase data can be simultaneously produced. We also demonstrate how varying the elemental abundance in the ejecta can produce better synthetic spectral fits. In the case of SN2016jca it is found that a decreasing 56Ni abundance as a function of decreasing velocity produces the best-fitting models. This could be the case if the 56Ni was synthesized at the side of the GRB jet, or dredged up from the centre of the explosion. The work presented here can be used as a guideline for future studies on SNe which use the same or similar radiation transfer code.

Item Type: Article
Additional Information: This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2020 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Uncontrolled Keywords: Astronomy & Astrophysics; 0201 Astronomical and Space Sciences
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Divisions: Astrophysics Research Institute
Publisher: Oxford University Press (OUP)
SWORD Depositor: A Symplectic
Date Deposited: 09 Nov 2022 11:20
Last Modified: 09 Nov 2022 11:30
DOI or ID number: 10.1093/MNRAS/STAA212
URI: https://researchonline.ljmu.ac.uk/id/eprint/18080
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