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Paricle identification at VAMOS++ with machine learning techniques

dc.contributor.authorCHO, Y
dc.contributor.authorKIM, Y.H
dc.contributor.authorCHOI, S
dc.contributor.authorPARK, J
dc.contributor.authorBAE, S
dc.contributor.authorHAHN, K.I
dc.contributor.authorSON, Y
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorNAVIN, A
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorLEMASSON, A
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorREJMUND, M
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorRAMOS, D
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorACKERMANN, D
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorUTEPOV, A
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorFOURGERES, C
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorTHOMAS, J.C
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorGOUPIL, J
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorFREMONT, G
hal.structure.identifierGrand Accélérateur National d'Ions Lourds [GANIL]
dc.contributor.authorDE FRANCE, G
dc.contributor.authorWATANABE, Y.X
dc.contributor.authorHIRAYAMA, Y
dc.contributor.authorJEONG, S
dc.contributor.authorNIWASE, T
dc.contributor.authorMIYATAKE, H
dc.contributor.authorSCHURY, P
dc.contributor.authorROSENBUSCH, M
dc.contributor.authorCHAE, K
dc.contributor.authorKIM, C
dc.contributor.authorKIM, S
dc.contributor.authorGU, G.M
dc.contributor.authorKIM, M.J
dc.contributor.authorJOHN, P
dc.contributor.authorANDREEV, A
hal.structure.identifierCommissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information [CEA-LETI]
dc.contributor.authorKORTEN, W
dc.contributor.authorRECCHIA, F
dc.contributor.authorDE ANGELIS, G
dc.contributor.authorVIDAL, R. Perez
dc.contributor.authorREZYNKINA, K
dc.contributor.authorHA, J
hal.structure.identifierInstitut Pluridisciplinaire Hubert Curien [IPHC]
dc.contributor.authorDIDIERJEAN, F
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorMARINI, P
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorTREASA, D
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorTSEKHANOVICH, I
hal.structure.identifierInstitut de Physique Nucléaire de Lyon [IPNL]
dc.contributor.authorDUDOUET, J
dc.contributor.authorBHATTACHARYYA, S
dc.contributor.authorMUKHERJEE, G
dc.contributor.authorBANIK, R
dc.contributor.authorBHATTACHARYA, S
dc.contributor.authorMUKAI, M
dc.date.accessioned2023-11-20T16:41:19Z
dc.date.available2023-11-20T16:41:19Z
dc.date.issued2023
dc.date.conference2022-10-03
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/184963
dc.description.abstractEnMulti-nucleon transfer reaction between <sup loc="pre">136</sup>Xe beam and <sup loc="pre">198</sup>Pt target was performed using the VAMOS++ spectrometer at GANIL to study the structure of n-rich nuclei around N=126. Unambiguous charge state identification was obtained by combining two supervised machine learning methods, deep neural network (DNN) and positional correction using a gradient-boosting decision tree (GBDT). The new method reduced the complexity of the kinetic energy calibration and outperformed the conventional method improving the charge state resolution by 8%.
dc.language.isoen
dc.source.titleNucl.Instrum.Meth.B
dc.subject.enVAMOS++
dc.subject.enMachine learning
dc.subject.enMulti-nucleon transfer reaction
dc.title.enParicle identification at VAMOS++ with machine learning techniques
dc.typeCommunication dans un congrès
dc.identifier.doi10.1016/j.nimb.2023.05.053
dc.subject.halPhysique [physics]/Physique [physics]/Instrumentations et Détecteurs [physics.ins-det]
dc.identifier.arxiv2311.07103
bordeaux.page240-242
bordeaux.volume541
bordeaux.hal.laboratoriesCentre d'Études Nucléaires de Bordeaux Gradignan (CENBG)*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.countryKR
bordeaux.title.proceedingNucl.Instrum.Meth.B
bordeaux.conference.cityDaejeon
bordeaux.peerReviewedoui
hal.identifierhal-04107956
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2022-10-07
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04107956v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.btitle=Nucl.Instrum.Meth.B&amp;rft.date=2023&amp;rft.volume=541&amp;rft.spage=240-242&amp;rft.epage=240-242&amp;rft.au=CHO,%20Y&amp;KIM,%20Y.H&amp;CHOI,%20S&amp;PARK,%20J&amp;BAE,%20S&amp;rft.genre=unknown


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