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Title: MONTE CARLO RADIATION-HYDRODYNAMICS WITH IMPLICIT METHODS

Abstract

We investigate the application of Monte Carlo transport methods to solving coupled radiation-hydrodynamics (RHD) problems. We use a time-dependent, frequency-dependent, three-dimensional radiation transport code that is special relativistic and includes some detailed microphysical interactions such as resonant line scattering. We couple the transport code to two different one-dimensional (non-relativistic) hydrodynamics solvers: a spherical Lagrangian scheme and a Eulerian Godunov solver. The gas-radiation energy coupling is treated implicitly, allowing us to take hydrodynamical time-steps that are much longer than the radiative cooling time. We confirm the code and assess its performance using a suite of radiation hydrodynamical test problems, including ones in the radiation energy dominated regime. Furthermore, we develop techniques that reduce the noise of the Monte Carlo estimated radiation force by using the spatial divergence of the radiation pressure tensor. The results suggest that Monte Carlo techniques hold promise for simulating the multi-dimensional RHD of astrophysical systems.

Authors:
 [1];  [2]
  1. Univ. of California, Berkeley, CA (United States)
  2. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Univ. of California, Oakland, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1565347
Grant/Contract Number:  
AC02-05CH11231; AC05-00OR22725; AC05-06OR23100; SC0008067
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal. Supplement Series (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal. Supplement Series (Online); Journal Volume: 217; Journal Issue: 1; Journal ID: ISSN 1538-4365
Publisher:
American Astronomical Society/IOP
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; hydrodynamics; line: profiles; methods: numerical; radiation: dynamics; radiative transfer

Citation Formats

Roth, Nathaniel, and Kasen, Daniel. MONTE CARLO RADIATION-HYDRODYNAMICS WITH IMPLICIT METHODS. United States: N. p., 2015. Web. doi:10.1088/0067-0049/217/1/9.
Roth, Nathaniel, & Kasen, Daniel. MONTE CARLO RADIATION-HYDRODYNAMICS WITH IMPLICIT METHODS. United States. doi:10.1088/0067-0049/217/1/9.
Roth, Nathaniel, and Kasen, Daniel. Thu . "MONTE CARLO RADIATION-HYDRODYNAMICS WITH IMPLICIT METHODS". United States. doi:10.1088/0067-0049/217/1/9. https://www.osti.gov/servlets/purl/1565347.
@article{osti_1565347,
title = {MONTE CARLO RADIATION-HYDRODYNAMICS WITH IMPLICIT METHODS},
author = {Roth, Nathaniel and Kasen, Daniel},
abstractNote = {We investigate the application of Monte Carlo transport methods to solving coupled radiation-hydrodynamics (RHD) problems. We use a time-dependent, frequency-dependent, three-dimensional radiation transport code that is special relativistic and includes some detailed microphysical interactions such as resonant line scattering. We couple the transport code to two different one-dimensional (non-relativistic) hydrodynamics solvers: a spherical Lagrangian scheme and a Eulerian Godunov solver. The gas-radiation energy coupling is treated implicitly, allowing us to take hydrodynamical time-steps that are much longer than the radiative cooling time. We confirm the code and assess its performance using a suite of radiation hydrodynamical test problems, including ones in the radiation energy dominated regime. Furthermore, we develop techniques that reduce the noise of the Monte Carlo estimated radiation force by using the spatial divergence of the radiation pressure tensor. The results suggest that Monte Carlo techniques hold promise for simulating the multi-dimensional RHD of astrophysical systems.},
doi = {10.1088/0067-0049/217/1/9},
journal = {The Astrophysical Journal. Supplement Series (Online)},
number = 1,
volume = 217,
place = {United States},
year = {2015},
month = {3}
}

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