000598857 001__ 598857
000598857 005__ 20250715173019.0
000598857 0247_ $$2doi$$a10.1016/j.physletb.2023.138101
000598857 0247_ $$2INSPIRETeX$$aH1:2023fzk
000598857 0247_ $$2inspire$$ainspire:2645683
000598857 0247_ $$2ISSN$$a0031-9163
000598857 0247_ $$2ISSN$$a0370-2693
000598857 0247_ $$2ISSN$$a1873-2445
000598857 0247_ $$2arXiv$$aarXiv:2303.13620
000598857 0247_ $$2WOS$$aWOS:001068892700001
000598857 0247_ $$2altmetric$$aaltmetric:144446662
000598857 0247_ $$2openalex$$aopenalex:W4361019493
000598857 037__ $$aPUBDB-2023-07051
000598857 041__ $$aEnglish
000598857 082__ $$a530
000598857 088__ $$2arXiv$$aarXiv:2303.13620
000598857 088__ $$2DESY$$aDESY-23-034
000598857 1001_ $$aAndreev, V.$$b0
000598857 245__ $$aUnbinned Deep Learning Jet Substructure Measurement in High $Q^2$ ep collisions at HERA
000598857 260__ $$aAmsterdam$$bNorth-Holland Publ.$$c2023
000598857 3367_ $$2DRIVER$$aarticle
000598857 3367_ $$2DataCite$$aOutput Types/Journal article
000598857 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1706864335_1861215
000598857 3367_ $$2BibTeX$$aARTICLE
000598857 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000598857 3367_ $$00$$2EndNote$$aJournal Article
000598857 500__ $$a30 pages, 10 figures, 8 tables, corrected authorlist
000598857 520__ $$aThe radiation pattern within high energy quark- and gluon-initiated jets (jet substructure) is used extensively as a precision probe of the strong force as well as an environment for optimizing event generators with numerous applications in high energy particle and nuclear physics. Looking at electron-proton collisions is of particular interest as many of the complications present at hadron colliders are absent. A detailed study of modern jet substructure observables, jet angularities, in electron-proton collisions is presented using data recorded using the H1 detector at HERA. The measurement is unbinned and multi-dimensional, using machine learning to correct for detector effects. All of the available reconstructed object information of the respective jets is interpreted by a graph neural network, achieving superior precision on a selected set of jet angularities. Training these networks was enabled by the use of a large number of GPUs in the Perlmutter supercomputer at Berkeley Lab. The particle jets are reconstructed in the laboratory frame, using the $k_{\mathrm{T}}$ jet clustering algorithm. Results are reported at high transverse momentum transfer $Q^2>150$ GeV${}^2$, and inelasticity $0.2 < y < 0.7$. The analysis is also performed in sub-regions of $Q^2$, thus probing scale dependencies of the substructure variables. The data are compared with a variety of predictions and point towards possible improvements of such models.
000598857 536__ $$0G:(DE-HGF)POF4-611$$a611 - Fundamental Particles and Forces (POF4-611)$$cPOF4-611$$fPOF IV$$x0
000598857 588__ $$aDataset connected to CrossRef, INSPIRE, Journals: bib-pubdb1.desy.de
000598857 650_7 $$2INSPIRE$$aelectron p: deep inelastic scattering
000598857 650_7 $$2INSPIRE$$aenergy: high
000598857 650_7 $$2INSPIRE$$aelectron p: interaction
000598857 650_7 $$2INSPIRE$$aparticle: energy
000598857 650_7 $$2INSPIRE$$atransverse momentum: high
000598857 650_7 $$2INSPIRE$$astructure
000598857 650_7 $$2INSPIRE$$aDESY HERA Stor
000598857 650_7 $$2INSPIRE$$aH1
000598857 650_7 $$2INSPIRE$$anuclear physics
000598857 650_7 $$2INSPIRE$$aquark: jet
000598857 650_7 $$2INSPIRE$$agluon: jet
000598857 650_7 $$2INSPIRE$$ahigher-dimensional
000598857 650_7 $$2INSPIRE$$aBerkeley Lab
000598857 650_7 $$2INSPIRE$$amachine learning
000598857 650_7 $$2INSPIRE$$amomentum transfer
000598857 650_7 $$2INSPIRE$$anetwork
000598857 650_7 $$2INSPIRE$$aneural network
000598857 650_7 $$2INSPIRE$$astrong coupling
000598857 650_7 $$2INSPIRE$$atrack data analysis: jet
000598857 650_7 $$2INSPIRE$$adata analysis method
000598857 650_7 $$2INSPIRE$$anumerical calculations: Monte Carlo
000598857 650_7 $$2INSPIRE$$aexperimental results
000598857 693__ $$0EXP:(DE-588)4443767-5$$1EXP:(DE-588)4159571-3$$5EXP:(DE-588)4443767-5$$aHERA$$eHERA: H1$$x0
000598857 7001_ $$aArratia, M.$$b1
000598857 7001_ $$aBaghdasaryan, A.$$b2
000598857 7001_ $$aBaty, A.$$b3
000598857 7001_ $$aBegzsuren, K.$$b4
000598857 7001_ $$aBolz, A.$$b5
000598857 7001_ $$aBoudry, V.$$b6
000598857 7001_ $$aBrandt, G.$$b7
000598857 7001_ $$aBritzger, D.$$b8
000598857 7001_ $$aBuniatyan, A.$$b9
000598857 7001_ $$aBystritskaya, L.$$b10
000598857 7001_ $$aCampbell, A. J.$$b11
000598857 7001_ $$aCantun Avila, K. B.$$b12
000598857 7001_ $$0P:(DE-H253)PIP1089392$$aCerny, Karel$$b13
000598857 7001_ $$aChekelian, V.$$b14
000598857 7001_ $$aChen, Z.$$b15
000598857 7001_ $$aContreras, J. G.$$b16
000598857 7001_ $$aCunqueiro Mendez, L.$$b17
000598857 7001_ $$aCvach, J.$$b18
000598857 7001_ $$aDainton, J. B.$$b19
000598857 7001_ $$aDaum, K.$$b20
000598857 7001_ $$0P:(DE-H253)PIP1087388$$aDeshpande, A.$$b21
000598857 7001_ $$aDiaconu, C.$$b22
000598857 7001_ $$aDrees, A.$$b23
000598857 7001_ $$aEckerlin, G.$$b24
000598857 7001_ $$aEgli, S.$$b25
000598857 7001_ $$aElsen, E.$$b26
000598857 7001_ $$aFavart, L.$$b27
000598857 7001_ $$aFedotov, A.$$b28
000598857 7001_ $$aFeltesse, J.$$b29
000598857 7001_ $$aFleischer, M.$$b30
000598857 7001_ $$aFomenko, A.$$b31
000598857 7001_ $$aGal, C.$$b32
000598857 7001_ $$aGayler, J.$$b33
000598857 7001_ $$aGoerlich, L.$$b34
000598857 7001_ $$aGogitidze, N.$$b35
000598857 7001_ $$aGouzevitch, M.$$b36
000598857 7001_ $$aGrab, C.$$b37
000598857 7001_ $$aGreenshaw, T.$$b38
000598857 7001_ $$aGrindhammer, G.$$b39
000598857 7001_ $$aHaidt, D.$$b40
000598857 7001_ $$0P:(DE-H253)PIP1103836$$aHenderson, R. C. W.$$b41
000598857 7001_ $$aHessler, J.$$b42
000598857 7001_ $$aHladký, J.$$b43
000598857 7001_ $$aHoffmann, D.$$b44
000598857 7001_ $$aHorisberger, R.$$b45
000598857 7001_ $$aHreus, T.$$b46
000598857 7001_ $$aHuber, F.$$b47
000598857 7001_ $$aJacobs, P. M.$$b48
000598857 7001_ $$aJacquet, M.$$b49
000598857 7001_ $$aJanssen, T.$$b50
000598857 7001_ $$aJung, A. W.$$b51
000598857 7001_ $$aKapichine, M.$$b52
000598857 7001_ $$aKatzy, J.$$b53
000598857 7001_ $$aKiesling, C.$$b54
000598857 7001_ $$aKlein, M.$$b55
000598857 7001_ $$aKleinwort, C.$$b56
000598857 7001_ $$aKlest, H. T.$$b57
000598857 7001_ $$aKogler, R.$$b58
000598857 7001_ $$aKostka, P.$$b59
000598857 7001_ $$aKretzschmar, J.$$b60
000598857 7001_ $$aKrücker, D.$$b61
000598857 7001_ $$aKrüger, K.$$b62
000598857 7001_ $$aLandon, M. P. J.$$b63
000598857 7001_ $$aLange, W.$$b64
000598857 7001_ $$aLaycock, P.$$b65
000598857 7001_ $$0P:(DE-H253)PIP1012265$$aLee, S. H.$$b66
000598857 7001_ $$aLevonian, S.$$b67
000598857 7001_ $$aLi, W.$$b68
000598857 7001_ $$aLin, J.$$b69
000598857 7001_ $$aLipka, K.$$b70
000598857 7001_ $$aList, B.$$b71
000598857 7001_ $$aList, J.$$b72
000598857 7001_ $$aLobodzinski, B.$$b73
000598857 7001_ $$aLong, O. R.$$b74
000598857 7001_ $$aMalinovski, E.$$b75
000598857 7001_ $$aMartyn, H.-U.$$b76
000598857 7001_ $$aMaxfield, S. J.$$b77
000598857 7001_ $$aMehta, A.$$b78
000598857 7001_ $$aMeyer, A. B.$$b79
000598857 7001_ $$aMeyer, J.$$b80
000598857 7001_ $$aMikocki, S.$$b81
000598857 7001_ $$aMikuni, V. M.$$b82
000598857 7001_ $$aMondal, M. M.$$b83
000598857 7001_ $$aMorozov, A.$$b84
000598857 7001_ $$aMüller, K.$$b85
000598857 7001_ $$aNachman, B.$$b86
000598857 7001_ $$aNaumann, Th.$$b87
000598857 7001_ $$aNewman, P. R.$$b88
000598857 7001_ $$aNiebuhr, C.$$b89
000598857 7001_ $$aNowak, G.$$b90
000598857 7001_ $$aOlsson, J. E.$$b91
000598857 7001_ $$aOzerov, D.$$b92
000598857 7001_ $$aPark, S.$$b93
000598857 7001_ $$aPascaud, C.$$b94
000598857 7001_ $$aPatel, G. D.$$b95
000598857 7001_ $$0P:(DE-H253)PIP1010821$$aPerez, E.$$b96
000598857 7001_ $$aPetrukhin, A.$$b97
000598857 7001_ $$aPicuric, I.$$b98
000598857 7001_ $$aPitzl, D.$$b99
000598857 7001_ $$aPolifka, R.$$b100
000598857 7001_ $$aPreins, S.$$b101
000598857 7001_ $$aRadescu, V.$$b102
000598857 7001_ $$aRaicevic, N.$$b103
000598857 7001_ $$aRavdandorj, T.$$b104
000598857 7001_ $$aReimer, P.$$b105
000598857 7001_ $$aRizvi, E.$$b106
000598857 7001_ $$aRobmann, P.$$b107
000598857 7001_ $$aRoosen, R.$$b108
000598857 7001_ $$aRostovtsev, A.$$b109
000598857 7001_ $$aRotaru, M.$$b110
000598857 7001_ $$aSankey, D. P. C.$$b111
000598857 7001_ $$aSauter, M.$$b112
000598857 7001_ $$aSauvan, E.$$b113
000598857 7001_ $$0P:(DE-H253)PIP1001586$$aSchmitt, Stefan$$b114$$eCorresponding author
000598857 7001_ $$aSchmookler, B. A.$$b115
000598857 7001_ $$aSchnell, G.$$b116
000598857 7001_ $$aSchoeffel, L.$$b117
000598857 7001_ $$aSchöning, A.$$b118
000598857 7001_ $$0P:(DE-H253)PIP1003313$$aSefkow, F.$$b119$$udesy
000598857 7001_ $$aShushkevich, S.$$b120
000598857 7001_ $$aSoloviev, Y.$$b121
000598857 7001_ $$aSopicki, P.$$b122
000598857 7001_ $$aSouth, D.$$b123
000598857 7001_ $$aSpaskov, V.$$b124
000598857 7001_ $$aSpecka, A.$$b125
000598857 7001_ $$aSteder, M.$$b126
000598857 7001_ $$aStella, B.$$b127
000598857 7001_ $$aStraumann, U.$$b128
000598857 7001_ $$aSun, C.$$b129
000598857 7001_ $$0P:(DE-H253)PIP1005330$$aSykora, T.$$b130
000598857 7001_ $$aThompson, P. D.$$b131
000598857 7001_ $$aAcosta, F. Torales$$b132
000598857 7001_ $$aTraynor, D.$$b133
000598857 7001_ $$aTseepeldorj, B.$$b134
000598857 7001_ $$aTu, Z.$$b135
000598857 7001_ $$aTustin, G.$$b136
000598857 7001_ $$aValkárová, A.$$b137
000598857 7001_ $$aVallée, C.$$b138
000598857 7001_ $$aVan Mechelen, P.$$b139
000598857 7001_ $$aWegener, D.$$b140
000598857 7001_ $$aWünsch, E.$$b141
000598857 7001_ $$aŽáček, J.$$b142
000598857 7001_ $$aZhang, J.$$b143
000598857 7001_ $$aZhang, Z.$$b144
000598857 7001_ $$aŽlebčík, R.$$b145
000598857 7001_ $$aZohrabyan, H.$$b146
000598857 7001_ $$aZomer, F.$$b147
000598857 7001_ $$0P:(DE-HGF)0$$aH1 Collaboration$$b148$$eCollaboration author
000598857 773__ $$0PERI:(DE-600)1466612-1$$a10.1016/j.physletb.2023.138101$$gVol. 844, p. 138101 -$$p138101$$tPhysics letters / B$$v844$$x0031-9163$$y2023
000598857 7870_ $$0PUBDB-2023-01338$$aAndreev, V. et.al.$$d2023$$iIsParent$$rDESY-23-034 ; arXiv:2303.13620$$tUnbinned Deep Learning Jet Substructure Measurement in High $Q^2$ ep collisions at HERA
000598857 8564_ $$uhttps://bib-pubdb1.desy.de/record/598857/files/Unbinned%20deep%20learning%20jet%20substructure%20measurement%20in%20high%20Q2%20ep%20collisions%20at%20HERA.pdf$$yOpenAccess
000598857 8564_ $$uhttps://bib-pubdb1.desy.de/record/598857/files/Unbinned%20deep%20learning%20jet%20substructure%20measurement%20in%20high%20Q2%20ep%20collisions%20at%20HERA.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000598857 8767_ $$8216448$$92023-03-03$$d2023-12-19$$eAPC$$jFlatrate$$lSCOAP3
000598857 909CO $$ooai:bib-pubdb1.desy.de:598857$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
000598857 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1089392$$aExternal Institute$$b13$$kExtern
000598857 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1087388$$aExternal Institute$$b21$$kExtern
000598857 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1103836$$aExternal Institute$$b41$$kExtern
000598857 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1012265$$aExternal Institute$$b66$$kExtern
000598857 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1010821$$aExternal Institute$$b96$$kExtern
000598857 9101_ $$0I:(DE-588b)2008985-5$$6P:(DE-H253)PIP1001586$$aDeutsches Elektronen-Synchrotron$$b114$$kDESY
000598857 9101_ $$0I:(DE-588b)2008985-5$$6P:(DE-H253)PIP1003313$$aDeutsches Elektronen-Synchrotron$$b119$$kDESY
000598857 9101_ $$0I:(DE-HGF)0$$6P:(DE-H253)PIP1005330$$aExternal Institute$$b130$$kExtern
000598857 9101_ $$0I:(DE-588b)2008985-5$$6P:(DE-HGF)0$$aDeutsches Elektronen-Synchrotron$$b148$$kDESY
000598857 9131_ $$0G:(DE-HGF)POF4-611$$1G:(DE-HGF)POF4-610$$2G:(DE-HGF)POF4-600$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Materie$$lMatter and the Universe$$vFundamental Particles and Forces$$x0
000598857 9141_ $$y2023
000598857 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000598857 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000598857 915__ $$0StatID:(DE-HGF)0570$$2StatID$$aSCOAP3
000598857 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2023-08-25$$wger
000598857 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPHYS LETT B : 2022$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2022-09-05T14:12:53Z
000598857 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2022-09-05T14:12:53Z
000598857 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review$$d2022-09-05T14:12:53Z
000598857 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2023-08-25
000598857 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2023-08-25
000598857 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
000598857 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
000598857 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
000598857 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
000598857 9201_ $$0I:(DE-H253)H1-20120806$$kH1$$lH1 Kollaboration$$x0
000598857 980__ $$ajournal
000598857 980__ $$aVDB
000598857 980__ $$aI:(DE-H253)H1-20120806
000598857 980__ $$aAPC
000598857 980__ $$aUNRESTRICTED
000598857 9801_ $$aAPC
000598857 9801_ $$aFullTexts