Energy-conserving time propagation for a structure-preserving particle-in-cell Vlasov–Maxwell solver
•Systematic derivation of energy-conserving propagators for Vlasov-Maxwell simulations.•Propagators based on discrete gradients and antisymmetric Poisson splitting.•Exact discrete energy conservation for semi-implicit method.•Exact discrete energy conservation and Gauss conservation for implicit met...
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Veröffentlicht in: | Journal of computational physics 2021-01, Vol.425, p.109890, Article 109890 |
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container_title | Journal of computational physics |
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creator | Kormann, Katharina Sonnendrücker, Eric |
description | •Systematic derivation of energy-conserving propagators for Vlasov-Maxwell simulations.•Propagators based on discrete gradients and antisymmetric Poisson splitting.•Exact discrete energy conservation for semi-implicit method.•Exact discrete energy conservation and Gauss conservation for implicit method.•Substepping for efficient multiscale simulations.
This paper discusses energy-conserving time-discretizations for finite element particle-in-cell discretizations of the Vlasov–Maxwell system. A geometric spatially discrete system can be obtained using a standard particle-in-cell discretization of the particle distribution and compatible finite element spaces for the fields to discretize the Poisson bracket of the Vlasov–Maxwell model (see Kraus et al. (2017) [1]). In this paper, we derive energy-conserving time-discretizations based on the discrete gradient method applied to an antisymmetric splitting of the Poisson matrix. Firstly, we propose a semi-implicit method based on a splitting that yields constant Poisson matrices in each substep. Moreover, we devise an alternative discrete gradient that yields a time discretization that can additionally conserve Gauss' law. Finally, we explain how substepping for fast species dynamics can be incorporated. |
doi_str_mv | 10.1016/j.jcp.2020.109890 |
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This paper discusses energy-conserving time-discretizations for finite element particle-in-cell discretizations of the Vlasov–Maxwell system. A geometric spatially discrete system can be obtained using a standard particle-in-cell discretization of the particle distribution and compatible finite element spaces for the fields to discretize the Poisson bracket of the Vlasov–Maxwell model (see Kraus et al. (2017) [1]). In this paper, we derive energy-conserving time-discretizations based on the discrete gradient method applied to an antisymmetric splitting of the Poisson matrix. Firstly, we propose a semi-implicit method based on a splitting that yields constant Poisson matrices in each substep. Moreover, we devise an alternative discrete gradient that yields a time discretization that can additionally conserve Gauss' law. Finally, we explain how substepping for fast species dynamics can be incorporated.</description><identifier>ISSN: 0021-9991</identifier><identifier>EISSN: 1090-2716</identifier><identifier>DOI: 10.1016/j.jcp.2020.109890</identifier><language>eng</language><publisher>Cambridge: Elsevier Inc</publisher><subject>Computational physics ; Discrete gradient ; Discrete systems ; Discretization ; Geometric numerical methods ; Implicit methods ; Particle in cell technique ; Particle-in-cell ; Splitting ; Vlasov–Maxwell</subject><ispartof>Journal of computational physics, 2021-01, Vol.425, p.109890, Article 109890</ispartof><rights>2020 The Author(s)</rights><rights>Copyright Elsevier Science Ltd. Jan 15, 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-e3ff0ea0c18780007f325909ced9a0aa8e26b29e6bc58b3a8c6678115b406a483</citedby><cites>FETCH-LOGICAL-c325t-e3ff0ea0c18780007f325909ced9a0aa8e26b29e6bc58b3a8c6678115b406a483</cites><orcidid>0000-0002-8340-7230 ; 0000-0003-1956-2073</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jcp.2020.109890$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Kormann, Katharina</creatorcontrib><creatorcontrib>Sonnendrücker, Eric</creatorcontrib><title>Energy-conserving time propagation for a structure-preserving particle-in-cell Vlasov–Maxwell solver</title><title>Journal of computational physics</title><description>•Systematic derivation of energy-conserving propagators for Vlasov-Maxwell simulations.•Propagators based on discrete gradients and antisymmetric Poisson splitting.•Exact discrete energy conservation for semi-implicit method.•Exact discrete energy conservation and Gauss conservation for implicit method.•Substepping for efficient multiscale simulations.
This paper discusses energy-conserving time-discretizations for finite element particle-in-cell discretizations of the Vlasov–Maxwell system. A geometric spatially discrete system can be obtained using a standard particle-in-cell discretization of the particle distribution and compatible finite element spaces for the fields to discretize the Poisson bracket of the Vlasov–Maxwell model (see Kraus et al. (2017) [1]). In this paper, we derive energy-conserving time-discretizations based on the discrete gradient method applied to an antisymmetric splitting of the Poisson matrix. Firstly, we propose a semi-implicit method based on a splitting that yields constant Poisson matrices in each substep. Moreover, we devise an alternative discrete gradient that yields a time discretization that can additionally conserve Gauss' law. Finally, we explain how substepping for fast species dynamics can be incorporated.</description><subject>Computational physics</subject><subject>Discrete gradient</subject><subject>Discrete systems</subject><subject>Discretization</subject><subject>Geometric numerical methods</subject><subject>Implicit methods</subject><subject>Particle in cell technique</subject><subject>Particle-in-cell</subject><subject>Splitting</subject><subject>Vlasov–Maxwell</subject><issn>0021-9991</issn><issn>1090-2716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEqXwAewisXYZOy9brFDFSypiA2wtx51UjtI42GmhO_6BP-RLcFTYspqH7p05uoScM5gxYMVlM2tMP-PAx1kKCQdkEhugvGTFIZkAcEallOyYnITQAIDIMzEh9U2HfrWjxnUB_dZ2q2Swa0x673q90oN1XVI7n-gkDH5jho1H2nv80_baD9a0SG1HDbZt8trq4Lbfn1-P-uN9XATXbtGfkqNatwHPfuuUvNzePM_v6eLp7mF-vaAm5flAMa1rQA2GiVJExrKOawnS4FJq0FogLyousahMLqpUC1MUpWAsrzIodCbSKbnY3438bxsMg2rcxnfxpeJZWfISCjGq2F5lvAvBY616b9fa7xQDNcapGhXjVGOcah9n9FztPRjxtxa9CsZiF8msRzOopbP_uH8AyuV_xg</recordid><startdate>20210115</startdate><enddate>20210115</enddate><creator>Kormann, Katharina</creator><creator>Sonnendrücker, Eric</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-8340-7230</orcidid><orcidid>https://orcid.org/0000-0003-1956-2073</orcidid></search><sort><creationdate>20210115</creationdate><title>Energy-conserving time propagation for a structure-preserving particle-in-cell Vlasov–Maxwell solver</title><author>Kormann, Katharina ; Sonnendrücker, Eric</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-e3ff0ea0c18780007f325909ced9a0aa8e26b29e6bc58b3a8c6678115b406a483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Computational physics</topic><topic>Discrete gradient</topic><topic>Discrete systems</topic><topic>Discretization</topic><topic>Geometric numerical methods</topic><topic>Implicit methods</topic><topic>Particle in cell technique</topic><topic>Particle-in-cell</topic><topic>Splitting</topic><topic>Vlasov–Maxwell</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kormann, Katharina</creatorcontrib><creatorcontrib>Sonnendrücker, Eric</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of computational physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kormann, Katharina</au><au>Sonnendrücker, Eric</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy-conserving time propagation for a structure-preserving particle-in-cell Vlasov–Maxwell solver</atitle><jtitle>Journal of computational physics</jtitle><date>2021-01-15</date><risdate>2021</risdate><volume>425</volume><spage>109890</spage><pages>109890-</pages><artnum>109890</artnum><issn>0021-9991</issn><eissn>1090-2716</eissn><abstract>•Systematic derivation of energy-conserving propagators for Vlasov-Maxwell simulations.•Propagators based on discrete gradients and antisymmetric Poisson splitting.•Exact discrete energy conservation for semi-implicit method.•Exact discrete energy conservation and Gauss conservation for implicit method.•Substepping for efficient multiscale simulations.
This paper discusses energy-conserving time-discretizations for finite element particle-in-cell discretizations of the Vlasov–Maxwell system. A geometric spatially discrete system can be obtained using a standard particle-in-cell discretization of the particle distribution and compatible finite element spaces for the fields to discretize the Poisson bracket of the Vlasov–Maxwell model (see Kraus et al. (2017) [1]). In this paper, we derive energy-conserving time-discretizations based on the discrete gradient method applied to an antisymmetric splitting of the Poisson matrix. Firstly, we propose a semi-implicit method based on a splitting that yields constant Poisson matrices in each substep. Moreover, we devise an alternative discrete gradient that yields a time discretization that can additionally conserve Gauss' law. Finally, we explain how substepping for fast species dynamics can be incorporated.</abstract><cop>Cambridge</cop><pub>Elsevier Inc</pub><doi>10.1016/j.jcp.2020.109890</doi><orcidid>https://orcid.org/0000-0002-8340-7230</orcidid><orcidid>https://orcid.org/0000-0003-1956-2073</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Computational physics Discrete gradient Discrete systems Discretization Geometric numerical methods Implicit methods Particle in cell technique Particle-in-cell Splitting Vlasov–Maxwell |
title | Energy-conserving time propagation for a structure-preserving particle-in-cell Vlasov–Maxwell solver |
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