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Hybrid Adaptive Ray-Moment Method (HARM2): A highly parallel method for radiation hydrodynamics on adaptive grids

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dc.contributor.authorRosen, Anna L.
dc.contributor.authorKrumholz, Mark
dc.contributor.authorOishi, J. S.
dc.contributor.authorLee, A. T.
dc.contributor.authorKlein, Richard I.
dc.date.accessioned2021-05-27T01:54:40Z
dc.date.issued2017
dc.date.updated2020-11-23T10:38:41Z
dc.description.abstractWe present a highly-parallel multi-frequency hybrid radiation hydrodynamics algorithm that combines a spatially-adaptive long characteristics method for the radiation field from point sources with a moment method that handles the diffuse radiation field produced by a volume-filling fluid. Our Hybrid Adaptive Ray-Moment Method (HARM2) operates on patchbased adaptive grids, is compatible with asynchronous time stepping, and works with any moment method. In comparison to previous long characteristics methods, we have greatly improved the parallel performance of the adaptive long-characteristics method by developing a new completely asynchronous and non-blocking communication algorithm. As a result of this improvement, our implementation achieves near-perfect scaling up to O(103) processors on distributed memory machines. We present a series of tests to demonstrate the accuracy and performance of the method.en_AU
dc.description.sponsorshipALR and MRK acknowledge support from the National Aeronautics and Space Administration (NASA) through Hubble Archival Research grant HST-AR-13265.02-A issued by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555 and Chandra Theory Grant Award Number TM5-16007X issued by the Chandra X-ray Observatory Center, which is operated by the Smithsonian Astrophysical Observatory for and on behalf of NASA under contract NAS8-03060. ALR and ATL acknowledge support from the NSF Graduate Research Fellowship Program (number DGE-0809125). RIK acknowledges support from NASA through ATP grant NNX13AB84G, the NSF through grant AST-1211729 and the US Department of Energy at the Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. MRK and RIK acknowledge support from NASA TCAN grant NNX-14AB52G. MRK acknowledges support from Australian Research Council grant DP160100695.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0021-9991en_AU
dc.identifier.urihttp://hdl.handle.net/1885/234538
dc.language.isoen_AUen_AU
dc.provenancehttps://v2.sherpa.ac.uk/id/publication/11369..."Author accepted manuscript can be made open access on institutional repository with CC BY-NC-ND license after 24 month embargo" from SHERPA/RoMEO site (as at 27.5.2021).
dc.publisherAcademic Pressen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP160100695en_AU
dc.rights© 2016 Elsevier Inc.en_AU
dc.rights.licenseCC BY-NC-ND
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceJournal of Computational Physicsen_AU
dc.subjectRadiative transferen_AU
dc.subjectHydrodynamicsen_AU
dc.subjectParallelizationen_AU
dc.subjectLong characteristicsen_AU
dc.subjectAdaptive mesh refinementen_AU
dc.titleHybrid Adaptive Ray-Moment Method (HARM2): A highly parallel method for radiation hydrodynamics on adaptive gridsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Access
dcterms.dateAccepted2016-10-21
local.bibliographicCitation.lastpage942en_AU
local.bibliographicCitation.startpage924en_AU
local.contributor.affiliationRosen, Anna L., Department of Astronomy and Astrophysics, University of Californiaen_AU
local.contributor.affiliationKrumholz, Mark, College of Science, ANUen_AU
local.contributor.affiliationOishi, J. S., Bates Collegeen_AU
local.contributor.affiliationLee, A. T., University of Californiaen_AU
local.contributor.affiliationKlein, Richard I., Lawrence Livermore National Laboratoryen_AU
local.contributor.authoruidKrumholz, Mark, u1000557en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor010401 - Applied Statisticsen_AU
local.identifier.ariespublicationa383154xPUB4868en_AU
local.identifier.citationvolume330en_AU
local.identifier.doi10.1016/j.jcp.2016.10.048en_AU
local.identifier.scopusID2-s2.0-85006312625
local.identifier.thomsonID000394408900048
local.publisher.urlhttps://www.sciencedirect.com/en_AU
local.type.statusAccepted Versionen_AU

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