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This article is cited in 11 scientific papers (total in 11 papers)
An algorithm for recovering the characteristics of the initial state of supernova
S. I. Kabanikhinabcd, I. M. Kulikovc, M. A. Shishleninabcd a Mathematical Center in Akademgorodok, Novosibirsk, 630090 Russia
b Novosibirsk State University, Novosibirsk, 630090 Russia
c Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
d Sobolev Institute of Mathematics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
Abstract:
An optimization method for the numerical solution of the inverse problem of recovering the initial state of a supernova is proposed. The gradient of the inverse problem objective functional is constructed. The solution of the direct and adjoint problems is based on a combination of the large particle method, Godunov's method, and piecewise parabolic method on a local stencil. Results of the verification of the proposed numerical method and the results of numerical solution of the Evrard and Sedov collapse problems are presented.
Key words:
computational astrophysics, supernova, retrospective inverse problem, Godunov's scheme.
Received: 25.11.2019 Revised: 25.11.2019 Accepted: 11.02.2020
Citation:
S. I. Kabanikhin, I. M. Kulikov, M. A. Shishlenin, “An algorithm for recovering the characteristics of the initial state of supernova”, Zh. Vychisl. Mat. Mat. Fiz., 60:6 (2020), 1035–1044; Comput. Math. Math. Phys., 60:6 (2020), 1008–1016
Linking options:
https://www.mathnet.ru/eng/zvmmf11093 https://www.mathnet.ru/eng/zvmmf/v60/i6/p1035
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