The Full Event Interpretation

Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables...
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Autor*in:	Keck, T. [verfasserIn] Abudinén, F. Bernlochner, Florian U. Cheaib, R. Cunliffe, S. Feindt, M. Ferber, T. Gelb, M. Gemmler, J. Goldenzweig, P. Heck, M. Hollitt, S. Kahn, J. Krohn, J.-F. Kuhr, T. Komarov, I. Ligioi, L. Lubej, M. Metzner, F. Prim, M. Pulvermacher, C. Ritter, M. Schwab, J. Sutcliffe, W. Tamponi, U. Tenchini, F. Toutounji, N. E. Urquijo, P. Weyland, D. Zupanc, A.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Multivariate classification Full event interpretation Full reconstruction Tagging Belle II HEP Machine learning

Anmerkung:	© The Author(s) 2019

Übergeordnetes Werk:	Enthalten in: Computing and software for big science - Cham, Switzerland : Springer International Publishing, 2017, 3(2019), 1 vom: 25. Feb.
Übergeordnetes Werk:	volume:3 ; year:2019 ; number:1 ; day:25 ; month:02

Links:	Volltext

DOI / URN:	10.1007/s41781-019-0021-8

Katalog-ID:	SPR038304945

Internformat


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520			\|a Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement.
650		4	\|a Multivariate classification \|7 (dpeaa)DE-He213
650		4	\|a Full event interpretation \|7 (dpeaa)DE-He213
650		4	\|a Full reconstruction \|7 (dpeaa)DE-He213
650		4	\|a Tagging \|7 (dpeaa)DE-He213
650		4	\|a Belle II \|7 (dpeaa)DE-He213
650		4	\|a HEP \|7 (dpeaa)DE-He213
650		4	\|a Machine learning \|7 (dpeaa)DE-He213
700	1		\|a Abudinén, F. \|4 aut
700	1		\|a Bernlochner, Florian U. \|0 (orcid)0000-0001-8153-2719 \|4 aut
700	1		\|a Cheaib, R. \|4 aut
700	1		\|a Cunliffe, S. \|4 aut
700	1		\|a Feindt, M. \|4 aut
700	1		\|a Ferber, T. \|4 aut
700	1		\|a Gelb, M. \|4 aut
700	1		\|a Gemmler, J. \|4 aut
700	1		\|a Goldenzweig, P. \|4 aut
700	1		\|a Heck, M. \|4 aut
700	1		\|a Hollitt, S. \|4 aut
700	1		\|a Kahn, J. \|4 aut
700	1		\|a Krohn, J.-F. \|4 aut
700	1		\|a Kuhr, T. \|4 aut
700	1		\|a Komarov, I. \|4 aut
700	1		\|a Ligioi, L. \|4 aut
700	1		\|a Lubej, M. \|4 aut
700	1		\|a Metzner, F. \|4 aut
700	1		\|a Prim, M. \|4 aut
700	1		\|a Pulvermacher, C. \|4 aut
700	1		\|a Ritter, M. \|4 aut
700	1		\|a Schwab, J. \|4 aut
700	1		\|a Sutcliffe, W. \|4 aut
700	1		\|a Tamponi, U. \|4 aut
700	1		\|a Tenchini, F. \|4 aut
700	1		\|a Toutounji, N. E. \|4 aut
700	1		\|a Urquijo, P. \|4 aut
700	1		\|a Weyland, D. \|4 aut
700	1		\|a Zupanc, A. \|4 aut
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912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_266
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
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912			\|a GBV_ILN_2153
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912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2446
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912			\|a GBV_ILN_4035
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912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4246
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4336
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 3 \|j 2019 \|e 1 \|b 25 \|c 02

Indexfelder

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matchkey_str	article:25102044:2019----::hfleetnep
hierarchy_sort_str	2019
publishDate	2019
allfields	10.1007/s41781-019-0021-8 doi (DE-627)SPR038304945 (SPR)s41781-019-0021-8-e DE-627 ger DE-627 rakwb eng Keck, T. verfasserin aut The Full Event Interpretation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. Multivariate classification (dpeaa)DE-He213 Full event interpretation (dpeaa)DE-He213 Full reconstruction (dpeaa)DE-He213 Tagging (dpeaa)DE-He213 Belle II (dpeaa)DE-He213 HEP (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Abudinén, F. aut Bernlochner, Florian U. (orcid)0000-0001-8153-2719 aut Cheaib, R. aut Cunliffe, S. aut Feindt, M. aut Ferber, T. aut Gelb, M. aut Gemmler, J. aut Goldenzweig, P. aut Heck, M. aut Hollitt, S. aut Kahn, J. aut Krohn, J.-F. aut Kuhr, T. aut Komarov, I. aut Ligioi, L. aut Lubej, M. aut Metzner, F. aut Prim, M. aut Pulvermacher, C. aut Ritter, M. aut Schwab, J. aut Sutcliffe, W. aut Tamponi, U. aut Tenchini, F. aut Toutounji, N. E. aut Urquijo, P. aut Weyland, D. aut Zupanc, A. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 3(2019), 1 vom: 25. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:3 year:2019 number:1 day:25 month:02 https://dx.doi.org/10.1007/s41781-019-0021-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1 25 02
spelling	10.1007/s41781-019-0021-8 doi (DE-627)SPR038304945 (SPR)s41781-019-0021-8-e DE-627 ger DE-627 rakwb eng Keck, T. verfasserin aut The Full Event Interpretation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. Multivariate classification (dpeaa)DE-He213 Full event interpretation (dpeaa)DE-He213 Full reconstruction (dpeaa)DE-He213 Tagging (dpeaa)DE-He213 Belle II (dpeaa)DE-He213 HEP (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Abudinén, F. aut Bernlochner, Florian U. (orcid)0000-0001-8153-2719 aut Cheaib, R. aut Cunliffe, S. aut Feindt, M. aut Ferber, T. aut Gelb, M. aut Gemmler, J. aut Goldenzweig, P. aut Heck, M. aut Hollitt, S. aut Kahn, J. aut Krohn, J.-F. aut Kuhr, T. aut Komarov, I. aut Ligioi, L. aut Lubej, M. aut Metzner, F. aut Prim, M. aut Pulvermacher, C. aut Ritter, M. aut Schwab, J. aut Sutcliffe, W. aut Tamponi, U. aut Tenchini, F. aut Toutounji, N. E. aut Urquijo, P. aut Weyland, D. aut Zupanc, A. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 3(2019), 1 vom: 25. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:3 year:2019 number:1 day:25 month:02 https://dx.doi.org/10.1007/s41781-019-0021-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1 25 02
allfields_unstemmed	10.1007/s41781-019-0021-8 doi (DE-627)SPR038304945 (SPR)s41781-019-0021-8-e DE-627 ger DE-627 rakwb eng Keck, T. verfasserin aut The Full Event Interpretation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. Multivariate classification (dpeaa)DE-He213 Full event interpretation (dpeaa)DE-He213 Full reconstruction (dpeaa)DE-He213 Tagging (dpeaa)DE-He213 Belle II (dpeaa)DE-He213 HEP (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Abudinén, F. aut Bernlochner, Florian U. (orcid)0000-0001-8153-2719 aut Cheaib, R. aut Cunliffe, S. aut Feindt, M. aut Ferber, T. aut Gelb, M. aut Gemmler, J. aut Goldenzweig, P. aut Heck, M. aut Hollitt, S. aut Kahn, J. aut Krohn, J.-F. aut Kuhr, T. aut Komarov, I. aut Ligioi, L. aut Lubej, M. aut Metzner, F. aut Prim, M. aut Pulvermacher, C. aut Ritter, M. aut Schwab, J. aut Sutcliffe, W. aut Tamponi, U. aut Tenchini, F. aut Toutounji, N. E. aut Urquijo, P. aut Weyland, D. aut Zupanc, A. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 3(2019), 1 vom: 25. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:3 year:2019 number:1 day:25 month:02 https://dx.doi.org/10.1007/s41781-019-0021-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1 25 02
allfieldsGer	10.1007/s41781-019-0021-8 doi (DE-627)SPR038304945 (SPR)s41781-019-0021-8-e DE-627 ger DE-627 rakwb eng Keck, T. verfasserin aut The Full Event Interpretation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. Multivariate classification (dpeaa)DE-He213 Full event interpretation (dpeaa)DE-He213 Full reconstruction (dpeaa)DE-He213 Tagging (dpeaa)DE-He213 Belle II (dpeaa)DE-He213 HEP (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Abudinén, F. aut Bernlochner, Florian U. (orcid)0000-0001-8153-2719 aut Cheaib, R. aut Cunliffe, S. aut Feindt, M. aut Ferber, T. aut Gelb, M. aut Gemmler, J. aut Goldenzweig, P. aut Heck, M. aut Hollitt, S. aut Kahn, J. aut Krohn, J.-F. aut Kuhr, T. aut Komarov, I. aut Ligioi, L. aut Lubej, M. aut Metzner, F. aut Prim, M. aut Pulvermacher, C. aut Ritter, M. aut Schwab, J. aut Sutcliffe, W. aut Tamponi, U. aut Tenchini, F. aut Toutounji, N. E. aut Urquijo, P. aut Weyland, D. aut Zupanc, A. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 3(2019), 1 vom: 25. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:3 year:2019 number:1 day:25 month:02 https://dx.doi.org/10.1007/s41781-019-0021-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1 25 02
allfieldsSound	10.1007/s41781-019-0021-8 doi (DE-627)SPR038304945 (SPR)s41781-019-0021-8-e DE-627 ger DE-627 rakwb eng Keck, T. verfasserin aut The Full Event Interpretation 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. Multivariate classification (dpeaa)DE-He213 Full event interpretation (dpeaa)DE-He213 Full reconstruction (dpeaa)DE-He213 Tagging (dpeaa)DE-He213 Belle II (dpeaa)DE-He213 HEP (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213 Abudinén, F. aut Bernlochner, Florian U. (orcid)0000-0001-8153-2719 aut Cheaib, R. aut Cunliffe, S. aut Feindt, M. aut Ferber, T. aut Gelb, M. aut Gemmler, J. aut Goldenzweig, P. aut Heck, M. aut Hollitt, S. aut Kahn, J. aut Krohn, J.-F. aut Kuhr, T. aut Komarov, I. aut Ligioi, L. aut Lubej, M. aut Metzner, F. aut Prim, M. aut Pulvermacher, C. aut Ritter, M. aut Schwab, J. aut Sutcliffe, W. aut Tamponi, U. aut Tenchini, F. aut Toutounji, N. E. aut Urquijo, P. aut Weyland, D. aut Zupanc, A. aut Enthalten in Computing and software for big science Cham, Switzerland : Springer International Publishing, 2017 3(2019), 1 vom: 25. Feb. (DE-627)1000743217 (DE-600)2908677-2 2510-2044 nnns volume:3 year:2019 number:1 day:25 month:02 https://dx.doi.org/10.1007/s41781-019-0021-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1 25 02
language	English
source	Enthalten in Computing and software for big science 3(2019), 1 vom: 25. Feb. volume:3 year:2019 number:1 day:25 month:02
sourceStr	Enthalten in Computing and software for big science 3(2019), 1 vom: 25. Feb. volume:3 year:2019 number:1 day:25 month:02
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Multivariate classification Full event interpretation Full reconstruction Tagging Belle II HEP Machine learning
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container_title	Computing and software for big science
authorswithroles_txt_mv	Keck, T. @@aut@@ Abudinén, F. @@aut@@ Bernlochner, Florian U. @@aut@@ Cheaib, R. @@aut@@ Cunliffe, S. @@aut@@ Feindt, M. @@aut@@ Ferber, T. @@aut@@ Gelb, M. @@aut@@ Gemmler, J. @@aut@@ Goldenzweig, P. @@aut@@ Heck, M. @@aut@@ Hollitt, S. @@aut@@ Kahn, J. @@aut@@ Krohn, J.-F. @@aut@@ Kuhr, T. @@aut@@ Komarov, I. @@aut@@ Ligioi, L. @@aut@@ Lubej, M. @@aut@@ Metzner, F. @@aut@@ Prim, M. @@aut@@ Pulvermacher, C. @@aut@@ Ritter, M. @@aut@@ Schwab, J. @@aut@@ Sutcliffe, W. @@aut@@ Tamponi, U. @@aut@@ Tenchini, F. @@aut@@ Toutounji, N. E. @@aut@@ Urquijo, P. @@aut@@ Weyland, D. @@aut@@ Zupanc, A. @@aut@@
publishDateDaySort_date	2019-02-25T00:00:00Z
hierarchy_top_id	1000743217
id	SPR038304945
language_de	englisch
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author	Keck, T.
spellingShingle	Keck, T. misc Multivariate classification misc Full event interpretation misc Full reconstruction misc Tagging misc Belle II misc HEP misc Machine learning The Full Event Interpretation
authorStr	Keck, T.
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topic_title	The Full Event Interpretation Multivariate classification (dpeaa)DE-He213 Full event interpretation (dpeaa)DE-He213 Full reconstruction (dpeaa)DE-He213 Tagging (dpeaa)DE-He213 Belle II (dpeaa)DE-He213 HEP (dpeaa)DE-He213 Machine learning (dpeaa)DE-He213
topic	misc Multivariate classification misc Full event interpretation misc Full reconstruction misc Tagging misc Belle II misc HEP misc Machine learning
topic_unstemmed	misc Multivariate classification misc Full event interpretation misc Full reconstruction misc Tagging misc Belle II misc HEP misc Machine learning
topic_browse	misc Multivariate classification misc Full event interpretation misc Full reconstruction misc Tagging misc Belle II misc HEP misc Machine learning
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
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title	The Full Event Interpretation
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title_full	The Full Event Interpretation
author_sort	Keck, T.
journal	Computing and software for big science
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author_browse	Keck, T. Abudinén, F. Bernlochner, Florian U. Cheaib, R. Cunliffe, S. Feindt, M. Ferber, T. Gelb, M. Gemmler, J. Goldenzweig, P. Heck, M. Hollitt, S. Kahn, J. Krohn, J.-F. Kuhr, T. Komarov, I. Ligioi, L. Lubej, M. Metzner, F. Prim, M. Pulvermacher, C. Ritter, M. Schwab, J. Sutcliffe, W. Tamponi, U. Tenchini, F. Toutounji, N. E. Urquijo, P. Weyland, D. Zupanc, A.
container_volume	3
format_se	Elektronische Aufsätze
author-letter	Keck, T.
doi_str_mv	10.1007/s41781-019-0021-8
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title_sort	full event interpretation
title_auth	The Full Event Interpretation
abstract	Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. © The Author(s) 2019
abstractGer	Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. © The Author(s) 2019
abstract_unstemmed	Abstract The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement. © The Author(s) 2019
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title_short	The Full Event Interpretation
url	https://dx.doi.org/10.1007/s41781-019-0021-8
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author2	Abudinén, F. Bernlochner, Florian U. Cheaib, R. Cunliffe, S. Feindt, M. Ferber, T. Gelb, M. Gemmler, J. Goldenzweig, P. Heck, M. Hollitt, S. Kahn, J. Krohn, J.-F. Kuhr, T. Komarov, I. Ligioi, L. Lubej, M. Metzner, F. Prim, M. Pulvermacher, C. Ritter, M. Schwab, J. Sutcliffe, W. Tamponi, U. Tenchini, F. Toutounji, N. E. Urquijo, P. Weyland, D. Zupanc, A.
author2Str	Abudinén, F. Bernlochner, Florian U. Cheaib, R. Cunliffe, S. Feindt, M. Ferber, T. Gelb, M. Gemmler, J. Goldenzweig, P. Heck, M. Hollitt, S. Kahn, J. Krohn, J.-F. Kuhr, T. Komarov, I. Ligioi, L. Lubej, M. Metzner, F. Prim, M. Pulvermacher, C. Ritter, M. Schwab, J. Sutcliffe, W. Tamponi, U. Tenchini, F. Toutounji, N. E. Urquijo, P. Weyland, D. Zupanc, A.
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up_date	2024-07-03T17:19:45.256Z
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score	7.4000034

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