Analysis of the performance of numerical integration methods for the tracking of ultra-high energy cosmic rays
•The four methods currently examined have all presented great precision on calculating the particle's trajectory.•The most efficient method among all studied cases was the Boris one.•The New Euler method has exhibited the best energy conservation properties.•The Boris method has presented for a...
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Veröffentlicht in: | Journal of computational physics 2019-09, Vol.392, p.432-443 |
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description | •The four methods currently examined have all presented great precision on calculating the particle's trajectory.•The most efficient method among all studied cases was the Boris one.•The New Euler method has exhibited the best energy conservation properties.•The Boris method has presented for all studied cases no growth tendency in the particle's energy with simulation time.
We analyzed the performance of several numerical integration methods in the ultra-relativistic regime. The integration methods include the fourth order Runge-Kutta, Boris, Vay, and a new method (called New Euler). For a proton traveling in a circular trajectory through a uniform perpendicular magnetic field, we have calculated the relative percentage error of Larmor radius of the particle's trajectory, relative efficiency between the methods, and relative percentage error of the particle's energy as a function of CPU time. In these calculations, we have investigated the influence of the following parameters: particle's energy, magnetic field strength, and the integration step. On calculating the Larmor radius, the four methods examined have all presented great precision. Among all studied cases, the most efficient method was the Boris method, which completes within a given CPU time more than twice cycles (complete circles, or periods of revolution) given by the Runge-Kutta one. The least efficient was the New Euler method (0.08 cycles), followed by Vay one (0.21 cycles). On the calculation of the particle's energy, New Euler method has exhibited the best properties, with the maximum relative percentage error of the particle's energy of roughly 10−13% remaining constant during the entire simulation. Except in the cases with the biggest simulation step, when for the Runge-Kutta method the particle's energy diverges asymptotically from its initial value, and with the smallest simulation step and lowest energy, when the Boris method has presented less precision than the Runge-Kutta one. The Runge-Kutta and Boris methods have presented approximately the same precision, with the maximum relative percentage error of ∼10−11%. The Vay method has presented the worst precision, with the particle's energy diverging asymptotically for all studied cases, with the relative percentage error of the particle's energy reaching approximately 10−8%, in ten seconds of CPU time. |
doi_str_mv | 10.1016/j.jcp.2019.04.058 |
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We analyzed the performance of several numerical integration methods in the ultra-relativistic regime. The integration methods include the fourth order Runge-Kutta, Boris, Vay, and a new method (called New Euler). For a proton traveling in a circular trajectory through a uniform perpendicular magnetic field, we have calculated the relative percentage error of Larmor radius of the particle's trajectory, relative efficiency between the methods, and relative percentage error of the particle's energy as a function of CPU time. In these calculations, we have investigated the influence of the following parameters: particle's energy, magnetic field strength, and the integration step. On calculating the Larmor radius, the four methods examined have all presented great precision. Among all studied cases, the most efficient method was the Boris method, which completes within a given CPU time more than twice cycles (complete circles, or periods of revolution) given by the Runge-Kutta one. The least efficient was the New Euler method (0.08 cycles), followed by Vay one (0.21 cycles). On the calculation of the particle's energy, New Euler method has exhibited the best properties, with the maximum relative percentage error of the particle's energy of roughly 10−13% remaining constant during the entire simulation. Except in the cases with the biggest simulation step, when for the Runge-Kutta method the particle's energy diverges asymptotically from its initial value, and with the smallest simulation step and lowest energy, when the Boris method has presented less precision than the Runge-Kutta one. The Runge-Kutta and Boris methods have presented approximately the same precision, with the maximum relative percentage error of ∼10−11%. The Vay method has presented the worst precision, with the particle's energy diverging asymptotically for all studied cases, with the relative percentage error of the particle's energy reaching approximately 10−8%, in ten seconds of CPU time.</description><identifier>ISSN: 0021-9991</identifier><identifier>EISSN: 1090-2716</identifier><identifier>DOI: 10.1016/j.jcp.2019.04.058</identifier><language>eng</language><publisher>Cambridge: Elsevier Inc</publisher><subject>Approximation ; Asymptotic properties ; Computational physics ; Computer simulation ; Cosmic rays ; Energy ; Field strength ; High energy astronomy ; Larmor radius ; Magnetic fields ; Methods ; Numerical integration ; Numerical methods ; Particle tracking ; Runge-Kutta method ; Trajectories ; Ultra high energy cosmic rays</subject><ispartof>Journal of computational physics, 2019-09, Vol.392, p.432-443</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright Elsevier Science Ltd. Sep 1, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-190da4cc33fbd61dcd135e8eb02e8f55716d236e83a80badc93908382951fe2b3</citedby><cites>FETCH-LOGICAL-c325t-190da4cc33fbd61dcd135e8eb02e8f55716d236e83a80badc93908382951fe2b3</cites><orcidid>0000-0001-9067-1577</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.2019.04.058$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Costa Jr, R.P.</creatorcontrib><creatorcontrib>Leigui de Oliveira, M.A.</creatorcontrib><title>Analysis of the performance of numerical integration methods for the tracking of ultra-high energy cosmic rays</title><title>Journal of computational physics</title><description>•The four methods currently examined have all presented great precision on calculating the particle's trajectory.•The most efficient method among all studied cases was the Boris one.•The New Euler method has exhibited the best energy conservation properties.•The Boris method has presented for all studied cases no growth tendency in the particle's energy with simulation time.
We analyzed the performance of several numerical integration methods in the ultra-relativistic regime. The integration methods include the fourth order Runge-Kutta, Boris, Vay, and a new method (called New Euler). For a proton traveling in a circular trajectory through a uniform perpendicular magnetic field, we have calculated the relative percentage error of Larmor radius of the particle's trajectory, relative efficiency between the methods, and relative percentage error of the particle's energy as a function of CPU time. In these calculations, we have investigated the influence of the following parameters: particle's energy, magnetic field strength, and the integration step. On calculating the Larmor radius, the four methods examined have all presented great precision. Among all studied cases, the most efficient method was the Boris method, which completes within a given CPU time more than twice cycles (complete circles, or periods of revolution) given by the Runge-Kutta one. The least efficient was the New Euler method (0.08 cycles), followed by Vay one (0.21 cycles). On the calculation of the particle's energy, New Euler method has exhibited the best properties, with the maximum relative percentage error of the particle's energy of roughly 10−13% remaining constant during the entire simulation. Except in the cases with the biggest simulation step, when for the Runge-Kutta method the particle's energy diverges asymptotically from its initial value, and with the smallest simulation step and lowest energy, when the Boris method has presented less precision than the Runge-Kutta one. The Runge-Kutta and Boris methods have presented approximately the same precision, with the maximum relative percentage error of ∼10−11%. The Vay method has presented the worst precision, with the particle's energy diverging asymptotically for all studied cases, with the relative percentage error of the particle's energy reaching approximately 10−8%, in ten seconds of CPU time.</description><subject>Approximation</subject><subject>Asymptotic properties</subject><subject>Computational physics</subject><subject>Computer simulation</subject><subject>Cosmic rays</subject><subject>Energy</subject><subject>Field strength</subject><subject>High energy astronomy</subject><subject>Larmor radius</subject><subject>Magnetic fields</subject><subject>Methods</subject><subject>Numerical integration</subject><subject>Numerical methods</subject><subject>Particle tracking</subject><subject>Runge-Kutta method</subject><subject>Trajectories</subject><subject>Ultra high energy cosmic rays</subject><issn>0021-9991</issn><issn>1090-2716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PwzAMhiMEEuPjB3CLxLnFSdqRiNM08SVN4gLnKE3cLWVtRtIi7d-TMc6cLFvvY9kPITcMSgZsfteVnd2VHJgqoSqhlidkxkBBwe_Z_JTMADgrlFLsnFyk1AGArCs5I8NiMNt98omGlo4bpDuMbYi9GSweRsPUY_TWbKkfRlxHM_ow0B7HTXCJ5uQvNEZjP_2wPhDTNnfFxq83FAeM6z21IfXe0mj26YqctWab8PqvXpKPp8f35Uuxent-XS5WhRW8HgumwJnKWiHaxs2Zs46JGiU2wFG2dZ1_clzMUQojoTHOKqFACslVzVrkjbgkt8e9uxi-Jkyj7sIU86tJc15nPZXgkFPsmLIxpBSx1bvoexP3moE-aNWdzlr1QauGSmcuMw9HBvP53x6jTtZjtuV8RDtqF_w_9A-olIGY</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Costa Jr, R.P.</creator><creator>Leigui de Oliveira, M.A.</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/0000-0001-9067-1577</orcidid></search><sort><creationdate>20190901</creationdate><title>Analysis of the performance of numerical integration methods for the tracking of ultra-high energy cosmic rays</title><author>Costa Jr, R.P. ; Leigui de Oliveira, M.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-190da4cc33fbd61dcd135e8eb02e8f55716d236e83a80badc93908382951fe2b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Approximation</topic><topic>Asymptotic properties</topic><topic>Computational physics</topic><topic>Computer simulation</topic><topic>Cosmic rays</topic><topic>Energy</topic><topic>Field strength</topic><topic>High energy astronomy</topic><topic>Larmor radius</topic><topic>Magnetic fields</topic><topic>Methods</topic><topic>Numerical integration</topic><topic>Numerical methods</topic><topic>Particle tracking</topic><topic>Runge-Kutta method</topic><topic>Trajectories</topic><topic>Ultra high energy cosmic rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Costa Jr, R.P.</creatorcontrib><creatorcontrib>Leigui de Oliveira, M.A.</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>Costa Jr, R.P.</au><au>Leigui de Oliveira, M.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of the performance of numerical integration methods for the tracking of ultra-high energy cosmic rays</atitle><jtitle>Journal of computational physics</jtitle><date>2019-09-01</date><risdate>2019</risdate><volume>392</volume><spage>432</spage><epage>443</epage><pages>432-443</pages><issn>0021-9991</issn><eissn>1090-2716</eissn><abstract>•The four methods currently examined have all presented great precision on calculating the particle's trajectory.•The most efficient method among all studied cases was the Boris one.•The New Euler method has exhibited the best energy conservation properties.•The Boris method has presented for all studied cases no growth tendency in the particle's energy with simulation time.
We analyzed the performance of several numerical integration methods in the ultra-relativistic regime. The integration methods include the fourth order Runge-Kutta, Boris, Vay, and a new method (called New Euler). For a proton traveling in a circular trajectory through a uniform perpendicular magnetic field, we have calculated the relative percentage error of Larmor radius of the particle's trajectory, relative efficiency between the methods, and relative percentage error of the particle's energy as a function of CPU time. In these calculations, we have investigated the influence of the following parameters: particle's energy, magnetic field strength, and the integration step. On calculating the Larmor radius, the four methods examined have all presented great precision. Among all studied cases, the most efficient method was the Boris method, which completes within a given CPU time more than twice cycles (complete circles, or periods of revolution) given by the Runge-Kutta one. The least efficient was the New Euler method (0.08 cycles), followed by Vay one (0.21 cycles). On the calculation of the particle's energy, New Euler method has exhibited the best properties, with the maximum relative percentage error of the particle's energy of roughly 10−13% remaining constant during the entire simulation. Except in the cases with the biggest simulation step, when for the Runge-Kutta method the particle's energy diverges asymptotically from its initial value, and with the smallest simulation step and lowest energy, when the Boris method has presented less precision than the Runge-Kutta one. The Runge-Kutta and Boris methods have presented approximately the same precision, with the maximum relative percentage error of ∼10−11%. The Vay method has presented the worst precision, with the particle's energy diverging asymptotically for all studied cases, with the relative percentage error of the particle's energy reaching approximately 10−8%, in ten seconds of CPU time.</abstract><cop>Cambridge</cop><pub>Elsevier Inc</pub><doi>10.1016/j.jcp.2019.04.058</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-9067-1577</orcidid></addata></record> |
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subjects | Approximation Asymptotic properties Computational physics Computer simulation Cosmic rays Energy Field strength High energy astronomy Larmor radius Magnetic fields Methods Numerical integration Numerical methods Particle tracking Runge-Kutta method Trajectories Ultra high energy cosmic rays |
title | Analysis of the performance of numerical integration methods for the tracking of ultra-high energy cosmic rays |
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