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A new calibration method for charm jet identification validated with proton-proton collision events at root s=13 TeV

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Title: A new calibration method for charm jet identification validated with proton-proton collision events at root s=13 TeV
Authors: Tumasyan, A
Adam, W
Andrejkovic, JW
Bergauer, T
Chatterjee, S
Dragicevic, M
Del Valle, AE
Fruhwirth, R
Jeitler, M
Krammer, N
Lechner, L
Liko, D
Mikulec, I
Paulitsch, P
Pitters, FM
Schieck, J
Schofbeck, R
Spanring, M
Templ, S
Waltenberger, W
Wulz, C-E
Chekhovsky, V
Litomin, A
Makarenko, V
Darwish, MR
De Wolf, EA
Janssen, T
Kello, T
Lelek, A
Sfar, HR
Van Mechelen, P
Van Putte, S
Van Remortel, N
Blekman, F
Bols, ES
D'Hondt, J
De Clercq, J
Delcourt, M
El Faham, H
Lowette, S
Moortgat, S
Morton, A
Muller, D
Sahasransu, AR
Tavernier, S
Van Doninck, W
Van Mulders, P
Beghin, D
Bilin, B
Clerbaux, B
De Lentdecker, G
Favart, L
Grebenyuk, A
Kalsi, AK
Lee, K
Mahdavikhorrami, M
Makarenko, I
Moureaux, L
Petre, L
Popov, A
Postiau, N
Starling, E
Thomas, L
Vanden Bemden, M
Vander Velde, C
Vanlaer, P
Vannerom, D
Wezenbeek, L
Cornelis, T
Dobur, D
Knolle, J
Lambrecht, L
Mestdach, G
Niedziela, M
Roskas, C
Samalan, A
Skovpen, K
Tytgat, M
Verbeke, W
Vermassen, B
Vit, M
Bethani, A
Bruno, G
Bury, F
Caputo, C
David, P
Delaere, C
Donertas, IS
Giammanco, A
Jaffel, K
Jain, S
Lemaitre, V
Mondal, K
Prisciandaro, J
Taliercio, A
Teklishyn, M
Tran, TT
Vischia, P
Wertz, S
Alves, GA
Hensel, C
Moraes, A
Alda Junior, WL
Gallo Pereira, MA
Ferreira Filho, MB
Malbouisson, HB
Carvalho, W
Chinellato, J
Da Costa, EM
Da Silveira, GG
Damiao, DDJ
De Souza, SF
Figueiredo, DM
Herrera, CM
Amarilo, KM
Mundim, L
Nogima, H
Teles, PR
Santoro, A
Silva Do Amaral, SM
Sznajder, A
Thiel, M
Da Silva De Araujo, FT
Pereira, AV
Bernardes, CA
Calligaris, L
Fernandez Perez Tomei, TR
Gregores, EM
Lemos, DS
Mercadante, PG
Novaes, SF
Padula, SS
Aleksandrov, A
Antchev, G
Hadjiiska, R
Iaydjiev, P
Misheva, M
Rodozov, M
Shopova, M
Sultanov, G
Dimitrov, A
Ivanov, T
Litov, L
Pavlov, B
Petkov, P
Petrov, A
Cheng, T
Guo, Q
Javaid, T
Mittal, M
Wang, H
Yuan, L
Ahmad, M
Bauer, G
Dozen, C
Hu, Z
Martins, J
Wang, Y
Yi, K
Chapon, E
Chen, GM
Chen, HS
Chen, M
Iemmi, F
Kapoor, A
Leggat, D
Liao, H
Liu, Z-A
Milosevic, V
Monti, F
Sharma, R
Tao, J
Thomas-Wilsker, J
Wang, J
Zhang, S
Zhao, J
Agapitos, A
An, Y
Ban, Y
Chen, C
Levin, A
Li, Q
Lyu, X
Mao, Y
Qian, SJ
Wang, D
Wang, Q
Xiao, J
Lu, M
You, Z
Gao, X
Okawa, H
Lin, Z
Xiao, M
Avila, C
Cabrera, A
Florez, C
Fraga, J
Sarkar, A
Segura Delgado, MA
Mejia Guisao, J
Ramirez, F
Ruiz Alvarez, JD
Salazar Gonzalez, CA
Giljanovic, D
Godinovic, N
Lelas, D
Puljak, I
Antunovic, Z
Kovac, M
Sculac, T
Brigljevic, V
Ferencek, D
Majumder, D
Roguljic, M
Starodumov, A
Susa, T
Zhang, H
Attikis, A
Christoforou, K
Erodotou, E
Ioannou, A
Kole, G
Kolosova, M
Konstantinou, S
Mousa, J
Nicolaou, C
Ptochos, F
Razis, PA
Rykaczewski, H
Saka, H
Finger, M
Finger Jr, MJ
Kveton, A
Ayala, E
Carrera Jarrin, E
Abdalla, H
Assran, Y
Lotfy, A
Mahmoud, MA
Bhowmik, S
Dewanjee, RK
Ehataht, K
Kadastik, M
Nandan, S
Nielsen, C
Pata, J
Raidal, M
Tani, L
Veelken, C
Eerola, P
Forthomme, L
Kirschenmann, H
Osterberg, K
Voutilainen, M
Bharthuar, S
Brucken, E
Garcia, F
Havukainen, J
Kim, MS
Kinnunen, R
Lampen, T
Lassila-Perini, K
Lehti, S
Linden, T
Lotti, M
Martikainen, L
Myllymaki, M
Ott, J
Siikonen, H
Tuominen, E
Tuominiemi, J
Luukka, P
Petrow, H
Tuuva, T
Amendola, C
Besancon, M
Couderc, F
Dejardin, M
Denegri, D
Faure, JL
Ferri, F
Ganjour, S
Givernaud, A
Gras, P
De Monchenault, GH
Jarry, P
Lenzi, B
Locci, E
Malcles, J
Rander, J
Rosowsky, A
Sahin, MO
Savoy-Navarro, A
Titov, M
Yu, GB
Ahuja, S
Beaudette, F
Bonanomi, M
Perraguin, AB
Busson, P
Cappati, A
Charlot, C
Davignon, O
Diab, B
Falmagne, G
Ghosh, S
De Cassagnac, RG
Hakimi, A
Kucher, I
Motta, J
Nguyen, M
Ochando, C
Paganini, P
Rembser, J
Salerno, R
Sauvan, JB
Sirois, Y
Tarabini, A
Zabi, A
Zghiche, A
Agram, J-L
Andrea, J
Apparu, D
Bloch, D
Bourgatte, G
Brom, J-M
Chabert, EC
Collard, C
Darej, D
Fontaine, J-C
Goerlach, U
Grimault, C
Le Bihan, A-C
Nibigira, E
Van Hove, P
Asilar, E
Beauceron, S
Bernet, C
Boudoul, G
Camen, C
Carle, A
Chanon, N
Contardo, D
Depasse, P
El Mamouni, H
Fay, J
Gascon, S
Gouzevitch, M
Ille, B
Laktineh, IB
Lattaud, H
Lesauvage, A
Lethuillier, M
Mirabito, L
Perries, S
Shchablo, K
Sordini, V
Torterotot, L
Touquet, G
Vander Donckt, M
Viret, S
Bagaturia, I
Lomidze, I
Tsamalaidze, Z
Feld, L
Klein, K
Lipinski, M
Meuser, D
Pauls, A
Rauch, MP
Roewert, N
Schulz, J
Teroerde, M
Dodonova, A
Eliseev, D
Erdmann, M
Fackeldey, P
Fischer, B
Ghosh, S
Hebbeker, T
Hoepfner, K
Ivone, F
Keller, H
Mastrolorenzo, L
Merschmeyer, M
Meyer, A
Mocellin, G
Mondal, S
Mukherjee, S
Noll, D
Novak, A
Pook, T
Pozdnyakov, A
Rath, Y
Reithler, H
Roemer, J
Schmidt, A
Schuler, SC
Sharma, A
Vigilante, L
Wiedenbeck, S
Zaleski, S
Dziwok, C
Fluegge, G
Ahmad, WH
Hlushchenko, O
Kress, T
Pooth, AN
Roy, D
Sert, H
Stahl, A
Ziemons, T
Petersen, HA
Martin, MA
Asmuss, P
Babounikau, I
Baxter, S
Behnke, O
Martinez, AB
Bhattacharya, S
Bin Anuar, AA
Borras, K
Botta, V
Brunner, D
Campbell, A
Cardini, A
Cheng, C
Colombina, F
Rodriguez, SC
Silva, GC
Danilov, V
Didukh, L
Eckerlin, G
Eckstein, D
Banos, LIE
Filatov, O
Gallo, E
Geiser, A
Giraldi, A
Grohsjean, A
Guthoff, M
Jafari, A
Jomhari, NZ
Jung, H
Kasem, A
Kasemann, M
Kaveh, H
Kleinwort, C
Krucker, D
Lange, W
Lidrych, J
Lipka, K
Lohmann, W
Mankel, R
Melzer-Pellmann, I-A
Metwally, J
Meyer, AB
Meyer, M
Mnich, J
Mussgiller, A
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Adan, DP
Pitzl, D
Raspereza, A
Lopes, BR
Rubenach, J
Saggio, A
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Butler, PH
Ahmad, A
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Trembath-Reichert, S
Vetens, W
Item Type: Journal Article
Abstract: Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to calibrate them is presented. This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. Results are presented in the form of correction factors evaluated using proton-proton collision data with an integrated luminosity of 41.5 fb-1 at √s = 13 TeV, collected by the CMS experiment in 2017. The closure of the method is tested by applying the measured correction factors on simulated data sets and checking the agreement between the adjusted simulation and collision data. Furthermore, a validation is performed by testing the method on pseudodata, which emulate various mismodelling conditions. The calibrated results enable the use of the full distributions of heavy-flavour identification algorithm outputs, e.g. as inputs to machine-learning models. Thus, they are expected to increase the sensitivity of future physics analyses.
Issue Date: 1-Mar-2022
Date of Acceptance: 18-Feb-2022
URI: http://hdl.handle.net/10044/1/96452
DOI: 10.1088/1748-0221/17/03/P03014
ISSN: 1748-0221
Publisher: IOP Publishing
Journal / Book Title: Journal of Instrumentation
Volume: 17
Issue: 3
Copyright Statement: c 2022 CERN for the benefit of the CMS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Keywords: Science & Technology
Technology
Instruments & Instrumentation
Large detector-systems performance
Pattern recognition
cluster finding
calibration and fitting methods
FRAGMENTATION
Science & Technology
Technology
Instruments & Instrumentation
Large detector-systems performance
Pattern recognition
cluster finding
calibration and fitting methods
FRAGMENTATION
hep-ex
hep-ex
02 Physical Sciences
09 Engineering
Nuclear & Particles Physics
Publication Status: Published
Open Access location: https://iopscience.iop.org/article/10.1088/1748-0221/17/03/P03014
Article Number: ARTN P03014
Online Publication Date: 2022-03-17
Appears in Collections:Physics
High Energy Physics



This item is licensed under a Creative Commons License Creative Commons