Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms
In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical resu...
Ausführliche Beschreibung
Autor*in: |
Fang, Peng [verfasserIn] Yang, Yongwei [verfasserIn] Wang, Huiqiao [verfasserIn] LeiYang [verfasserIn] Guo, Yuyao [verfasserIn] Lai, Hanghui [verfasserIn] Wu, Xiang [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Annals of nuclear energy - Amsterdam [u.a.] : Elsevier Science, 1975, 187 |
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Übergeordnetes Werk: |
volume:187 |
DOI / URN: |
10.1016/j.anucene.2023.109786 |
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Katalog-ID: |
ELV009440585 |
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520 | |a In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. | ||
650 | 4 | |a Monte Carlo | |
650 | 4 | |a Delta-tracking | |
650 | 4 | |a Weighted delta-tracking | |
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700 | 1 | |a Yang, Yongwei |e verfasserin |4 aut | |
700 | 1 | |a Wang, Huiqiao |e verfasserin |4 aut | |
700 | 1 | |a LeiYang |e verfasserin |4 aut | |
700 | 1 | |a Guo, Yuyao |e verfasserin |4 aut | |
700 | 1 | |a Lai, Hanghui |e verfasserin |4 aut | |
700 | 1 | |a Wu, Xiang |e verfasserin |4 aut | |
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allfields |
10.1016/j.anucene.2023.109786 doi (DE-627)ELV009440585 (ELSEVIER)S0306-4549(23)00105-6 DE-627 ger DE-627 rda eng 530 DE-600 33.00 bkl 52.55 bkl Fang, Peng verfasserin aut Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. Monte Carlo Delta-tracking Weighted delta-tracking IMPC-neutron Yang, Yongwei verfasserin aut Wang, Huiqiao verfasserin aut LeiYang verfasserin aut Guo, Yuyao verfasserin aut Lai, Hanghui verfasserin aut Wu, Xiang verfasserin aut Enthalten in Annals of nuclear energy Amsterdam [u.a.] : Elsevier Science, 1975 187 Online-Ressource (DE-627)320406679 (DE-600)2000768-1 (DE-576)120883511 0306-4549 nnns volume:187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 Physik: Allgemeines 52.55 Kerntechnik Reaktortechnik AR 187 |
spelling |
10.1016/j.anucene.2023.109786 doi (DE-627)ELV009440585 (ELSEVIER)S0306-4549(23)00105-6 DE-627 ger DE-627 rda eng 530 DE-600 33.00 bkl 52.55 bkl Fang, Peng verfasserin aut Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. Monte Carlo Delta-tracking Weighted delta-tracking IMPC-neutron Yang, Yongwei verfasserin aut Wang, Huiqiao verfasserin aut LeiYang verfasserin aut Guo, Yuyao verfasserin aut Lai, Hanghui verfasserin aut Wu, Xiang verfasserin aut Enthalten in Annals of nuclear energy Amsterdam [u.a.] : Elsevier Science, 1975 187 Online-Ressource (DE-627)320406679 (DE-600)2000768-1 (DE-576)120883511 0306-4549 nnns volume:187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 Physik: Allgemeines 52.55 Kerntechnik Reaktortechnik AR 187 |
allfields_unstemmed |
10.1016/j.anucene.2023.109786 doi (DE-627)ELV009440585 (ELSEVIER)S0306-4549(23)00105-6 DE-627 ger DE-627 rda eng 530 DE-600 33.00 bkl 52.55 bkl Fang, Peng verfasserin aut Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. Monte Carlo Delta-tracking Weighted delta-tracking IMPC-neutron Yang, Yongwei verfasserin aut Wang, Huiqiao verfasserin aut LeiYang verfasserin aut Guo, Yuyao verfasserin aut Lai, Hanghui verfasserin aut Wu, Xiang verfasserin aut Enthalten in Annals of nuclear energy Amsterdam [u.a.] : Elsevier Science, 1975 187 Online-Ressource (DE-627)320406679 (DE-600)2000768-1 (DE-576)120883511 0306-4549 nnns volume:187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 Physik: Allgemeines 52.55 Kerntechnik Reaktortechnik AR 187 |
allfieldsGer |
10.1016/j.anucene.2023.109786 doi (DE-627)ELV009440585 (ELSEVIER)S0306-4549(23)00105-6 DE-627 ger DE-627 rda eng 530 DE-600 33.00 bkl 52.55 bkl Fang, Peng verfasserin aut Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. Monte Carlo Delta-tracking Weighted delta-tracking IMPC-neutron Yang, Yongwei verfasserin aut Wang, Huiqiao verfasserin aut LeiYang verfasserin aut Guo, Yuyao verfasserin aut Lai, Hanghui verfasserin aut Wu, Xiang verfasserin aut Enthalten in Annals of nuclear energy Amsterdam [u.a.] : Elsevier Science, 1975 187 Online-Ressource (DE-627)320406679 (DE-600)2000768-1 (DE-576)120883511 0306-4549 nnns volume:187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 Physik: Allgemeines 52.55 Kerntechnik Reaktortechnik AR 187 |
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10.1016/j.anucene.2023.109786 doi (DE-627)ELV009440585 (ELSEVIER)S0306-4549(23)00105-6 DE-627 ger DE-627 rda eng 530 DE-600 33.00 bkl 52.55 bkl Fang, Peng verfasserin aut Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. Monte Carlo Delta-tracking Weighted delta-tracking IMPC-neutron Yang, Yongwei verfasserin aut Wang, Huiqiao verfasserin aut LeiYang verfasserin aut Guo, Yuyao verfasserin aut Lai, Hanghui verfasserin aut Wu, Xiang verfasserin aut Enthalten in Annals of nuclear energy Amsterdam [u.a.] : Elsevier Science, 1975 187 Online-Ressource (DE-627)320406679 (DE-600)2000768-1 (DE-576)120883511 0306-4549 nnns volume:187 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 Physik: Allgemeines 52.55 Kerntechnik Reaktortechnik AR 187 |
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530 DE-600 33.00 bkl 52.55 bkl Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms Monte Carlo Delta-tracking Weighted delta-tracking IMPC-neutron |
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ddc 530 bkl 33.00 bkl 52.55 misc Monte Carlo misc Delta-tracking misc Weighted delta-tracking misc IMPC-neutron |
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Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms |
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Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms |
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Fang, Peng |
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Fang, Peng Yang, Yongwei Wang, Huiqiao LeiYang Guo, Yuyao Lai, Hanghui Wu, Xiang |
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implementation and optimization of wdt algorithm on impc-neutron and comparison of efficiency of various algorithms |
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Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms |
abstract |
In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. |
abstractGer |
In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. |
abstract_unstemmed |
In Monte Carlo code, the use of Delta-tracking algorithm can greatly improve the computational efficiency, but the existence of virtual collision will waste computing resources because the virtual collision introduced by Delta-tracking algorithm does not make any contribution to the statistical results. The Weighted Delta-tracking algorithm makes the virtual collision contribute to the statistics and improves the efficiency of Delta-tracking algorithm. We implemented Weighted Delta-tracking algorithm into the IMPC-Neutron code, then we optimized the Weighted Delta-tracking algorithm to improve its computational efficiency, and analyzed the effects and limitations of Weighted Delta-tracking algorithm in different assemblies. The optimal parameters of Weighted Delta-tracking algorithm are tested in the full reactor models of PWR core and sub-critical fast reactor core. Finally, the calculation efficiency of various neutron transport methods is compared by using IMPC-Neutron. |
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Implementation and optimization of WDT algorithm on IMPC-Neutron and comparison of efficiency of various algorithms |
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Yang, Yongwei Wang, Huiqiao LeiYang Guo, Yuyao Lai, Hanghui Wu, Xiang |
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