Identification of hadronic tau lepton decays using a deep neural network
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A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons ($$\tau_\mathrm{h}$$) that originate from genuine tau leptons in the CMS detector against $$\tau_\mathrm{h}$$ candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a $$\tau_\mathrm{h}$$ candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine $$\tau_\mathrm{h}$$ to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient $$\tau_\mathrm{h}$$ reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved $$\tau_\mathrm{h}$$ reconstruction method are validated with LHC proton-proton collision data at $$\sqrt{s} =$$ 13 TeV.
- Research Organization:
- Debrecen, Inst. Nucl. Res.; Moscow Phys. Eng. Inst.; Canterbury U.; Tashkent, IYF; Texas Tech.; INFN, Naples; Antwerp U.; CERN; Indian Inst. Tech., Madras; Korea U.; Louvain U.; Vrije U., Brussels; Bingöl U.; Pisa U.; Helsinki U.; Purdue U., Calumet; IPM, Tehran; Monash U.; Peking U.; PSI, Villigen; Novosibirsk State U.; Texas A-M; Helsinki Inst. of Phys.; SUNY, Buffalo; IRFU, Saclay; Gent U.; Lebedev Inst.; INFN, Bologna; Istanbul Bilgi U.; Carnegie Mellon U.; Oviedo U.; Rochester U.; Ruhuna U.; Zurich U.; INFN, Turin; Florida Inst. Tech.; INFN, Genoa; Puebla U., Inst. Fis.; UC, San Diego; Brunel U.; Riga Tech. U.; Pisa, Scuola Normale Superiore; Rio de Janeiro State U.; British U. in Egypt; Isfahan Tech. U.; Piri Reis U., Istanbul; Bhabha Atomic Res. Ctr.; Zhejiang U.; Naples U.; Haute Alsace U.; Bhubaneswar, NISER; Catholic U. America; Cairo U.; Vilnius U.; Iberoamericana U.; Brown U.; INFN, Milan Bicocca; Frascati; Boskovic Inst., Zagreb; Sinop U.; St. Petersburg, INP; Northeastern U.; Cyprus U.; Strasbourg, IPHC; UC, Davis; Chonnam Natl. U.; Kyung Hee U.; Colorado U.; INFN, Padua; Beijing, Inst. High Energy Phys.; Tennessee U.; Antioquia U.; Johns Hopkins U.; Bogazici U.; Cantabria Inst. of Phys.; Inst. Scintill. Mat., Kharkiv; Minnesota U.; Sharif U. of Tech.; Rio Grande do Sul U.; Seoul Natl. U.; Sejong U.; Notre Dame U.; Maryland U.; IISER, Pune; Cukurova U.; Vienna, OAW; Iowa U.; Nebraska U.; Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Athens U.; KIT, Karlsruhe, EKP; Taiwan, Natl. Central U.; Auckland U.; Moscow, ITEP; AGH-UST, Cracow; Aachen, Tech. Hochsch.; Split Tech. U.; EKU KRC, Gyongyos; Izmir Inst. Tech.; Kansas U.; Bari U.; Marmara U.; Indian Inst. Tech., Bhubaneswar; Istanbul, Tech. U.; Serpukhov, IHEP; Boston U.; Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); TU Vienna; Sungkyunkwan U.; Madrid, CIEMAT; Rutgers U., Piscataway; Wisconsin U., Madison; Wayne State U.; NCBJ, Swierk; Yerevan Phys. Inst.; SYSU, Guangzhou; LIP, Lisbon; Kharkov, KIPT; VINCA Inst. Nucl. Sci., Belgrade; Bristol U.; U. Debrecen, Inst. Phys.; Illinois U., Chicago; Fudan U.; Imperial Coll., London; Purdue U.; Kafkas U.; Cornell U.; Puerto Rico U., Mayaguez; Minsk, Inst. Nucl. Problems; Erzincan U.; Visva Bharati U.; Brandenburg Tech. U.; NICPB, Tallinn; Ohio State U.; Tomsk State U.; Quito, Escuela Politecnica Natl.; IAS, Julich; Budapest, RMKI; Rutherford; Princeton U.; INFN, Bari; INFN, Pavia; Turin U.; Kansas State U.; Brussels U.; INFN, Catania; Ozyegin U.; Hanyang U.; Delhi U.; Sonora U.; Quaid-i-Azam U.; UC, Santa Barbara; TIFR, Mumbai, DHEP; Annecy, LAPP; Yonsei U.; Saha Inst.; Madrid, Autonoma U.; Zurich, ETH; Stefan Meyer Inst. Subatomare Phys.; Warsaw U.; AUM, Kuwait; Hamburg U.; Basilicata U., Potenza; MIT; Baylor U.; CHEP, Taegu; Charles U.; Florida State U.; Beijing, GUCAS; Tomsk Polytechnic U.; St. Petersburg Polytechnic Inst.; Novosibirsk, IYF; UCLA; Eotvos U.; Fayoum U.; Sofiya U.; Split U.; Ecole Polytechnique; INFN, Perugia; Malaya U.; Necmettin Erbakan U., Konya; Moscow, MIPT; Virginia U.; U. Campinas; INFN, Trieste; Taiwan, Natl. Taiwan U.; GTU, Tbilisi; Hacettepe U.; DESY; Andes U., Bogota; University Coll., Dublin; Middle East Tech. U., Ankara; Caltech; Tsinghua U., Beijing; Conacyt, Mexico; Istanbul U.; Rice U.; San Francisco de Quito U.; Northwestern U.; INFN, Pisa; Rio de Janeiro, CBPF; Lappeenranta U. Tech.; CINVESTAV, IPN; Ioannina U.; Karamanoglu Mehmetbey U., Karaman; Dubna, JINR; Bangalore, Indian Inst. Sci.; Democritos Nucl. Res. Ctr.; Seoul U.; Montenegro U.; Adiyaman U.; Ain Shams U., Cairo; Panjab U.; Sofiya, Inst. Nucl. Res.; Colombo U.; Texas A&M U. Qatar, Doha; Chulalongkorn U.; UC, Riverside; Belgrade U.; Alabama U.; IP2I, Lyon; INFN, Florence; Cairo, Acad. Sci. Res. Tech.; Bethel Coll.; Moscow State U.; Southampton U.; Vanderbilt U.; Florida U.; Bhubaneswar, Inst. Phys.; INFN, Rome; Natl. Tech. U., Athens
- Sponsoring Organization:
- US Department of Energy
- DOE Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1843265
- Report Number(s):
- CMS-TAU-20-001; CERN-EP-2021-257; FERMILAB-CONF-22-049-CMS; oai:inspirehep.net:2016054; arXiv:2201.08458
- Resource Type:
- Conference paper
- Conference Information:
- Journal Name: JINST
- Country of Publication:
- United States
- Language:
- English
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