2019
DOI: 10.2298/saj1999065k
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A new numerical code for hydrodynamical 3D simulations of supernova remnants

Abstract: We develop a 3D hydrodynamical code written in C programming language to study the expansion of supernova remnants (SNRs) in the surrounding medium. It is based on the MUSCL-Hancock finite volume scheme with the HLLC Riemann solver. The code initiates the supernova remnant already in the Sedov phase and simulates hydrodynamics of the subsequent remnant expansion. The simulation is optimized for studies of large scale interaction of a supernova remnant with the interstellar medium (ISM). After a detailed descri… Show more

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Cited by 1 publication
(1 citation statement)
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References 31 publications
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“…They do not come with the advantages of shock-capturing and high-order convergence typical of Eulerian grid-based codes (van Leer 1977;Woodward & Colella 1984;Stone et al 2008). Eulerian methods often handle the problem of high dynamic ranges using adaptive mesh refinement (Fryxell et al 2000;Ono et al 2013;Bryan et al 2014;Kostić 2019) to derefine the mesh into a new, larger mesh as the outflow is about to cross the boundary. Another solution is to use grid-based methods to solve the equations of hydrodynamics in a noninertial frame that is comoving with the bulk of the fluid (e.g., Poludnenko & Khokhlov 2007;Robertson & Goldreich 2012).…”
Section: Introductionmentioning
confidence: 99%
“…They do not come with the advantages of shock-capturing and high-order convergence typical of Eulerian grid-based codes (van Leer 1977;Woodward & Colella 1984;Stone et al 2008). Eulerian methods often handle the problem of high dynamic ranges using adaptive mesh refinement (Fryxell et al 2000;Ono et al 2013;Bryan et al 2014;Kostić 2019) to derefine the mesh into a new, larger mesh as the outflow is about to cross the boundary. Another solution is to use grid-based methods to solve the equations of hydrodynamics in a noninertial frame that is comoving with the bulk of the fluid (e.g., Poludnenko & Khokhlov 2007;Robertson & Goldreich 2012).…”
Section: Introductionmentioning
confidence: 99%