Downloads provided by UsageCountsA Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
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Sirunyan, Albert M; Tumasyan, Armen; Jeitler, Manfred; Melo Da Costa, Eliza; Jeon, Sihyun; Kim, Junho; Kim, Jae Sung; +193 Authors
Sirunyan, Albert M; Tumasyan, Armen; Jeitler, Manfred; Melo Da Costa, Eliza; Jeon, Sihyun; Kim, Junho; Kim, Jae Sung; Lee, Haneol; Lee, Kyeongpil; Lee, Sangeun; Nam, Kyungwook; Oh, Minseok; Oh, Sung Bin; Radburn-Smith, Benjamin Charles; Da Silveira, Gustavo Gil; Yang, Unki; Yoo, Hwi Dong; Yoon, Inseok; Jeon, Dajeong; Kim, Ji Hyun; Lee, Jason Sang Hun; Park, Inkyu; Watson, Ian; Choi, Young-Il; Hwang, Chanwook; De Jesus Damiao, Dilson; Jeong, Yongho; Lee, Jongseok; Lee, Yonghoon; Yu, Intae; Veckalns, Viesturs; Dudenas, Vytautas; Juodagalvis, Andrius; Rinkevicius, Aurelijus; Tamulaitis, Gintautas; Vaitkus, Juozas; De Oliveira Martins, Carley; Ibrahim, Zainol Abidin; Mohamad Idris, Faridah; Wan Abdullah, Wan Ahmad Tajuddin; Yusli, Mohd Nizam; Zolkapli, Zukhaimira; Benitez, Jose F; Castaneda Hernandez, Alfredo; Murillo Quijada, Javier Alberto; Valencia Palomo, Lizardo; Castilla-Valdez, Heriberto; Fonseca De Souza, Sandro; De La Cruz-Burelo, Eduard; Heredia-De La Cruz, Ivan; Lopez-Fernandez, Ricardo; Sánchez Hernández, Alberto; Carrillo Moreno, Salvador; Oropeza Barrera, Cristina; Ramírez García, Mateo; Vazquez Valencia, Fabiola; Eysermans, Jan; Pedraza, Isabel; Huertas Guativa, Lina Milena; Salazar Ibarguen, Humberto Antonio; Uribe Estrada, Cecilia; Morelos Pineda, Antonio; Mijuskovic, Jelena; Raicevic, Natasa; Krofcheck, David; Bheesette, Srinidhi; Butler, Philip H; Ahmad, Ashfaq; Ahmad, Muhammad; Malbouisson, Helena; Hassan, Qamar; Hoorani, Hafeez R; Khan, Wajid Ali; Shah, Mehar Ali; Shoaib, Muhammad; Waqas, Muhammad; Avati, Valentina; Grzanka, Leszek; Malawski, Maciej; Bialkowska, Helena; Martins, Jordan; Bluj, Michal; Boimska, Bozena; Górski, Maciej; Kazana, Malgorzata; Szleper, Michal; Zalewski, Piotr; Bunkowski, Karol; Byszuk, Adrian; Doroba, Krzysztof; Kalinowski, Artur; Matos Figueiredo, Diego; Konecki, Marcin; Krolikowski, Jan; Olszewski, Michal; Walczak, Marek; Araujo, Mariana; Bargassa, Pedrame; Bastos, Diogo; Di Francesco, Agostino; Faccioli, Pietro; Galinhas, Bruno; Medina Jaime, Miguel; Gallinaro, Michele; Hollar, Jonathan; Leonardo, Nuno; Niknejad, Tahereh Sadat; Seixas, Joao; Shchelina, Ksenia; Strong, Giles; Toldaiev, Oleksii; Varela, Joao; Afanasiev, Serguei; Krammer, Natascha; Melo De Almeida, Miqueias; Bunin, Pavel; Gavrilenko, Mikhail; Golutvin, Igor; Gorbunov, Ilya; Kamenev, Alexey; Karjavine, Vladimir; Lanev, Alexander; Malakhov, Alexander; Matveev, Viktor; Moisenz, Petr; Mora Herrera, Clemencia; Palichik, Vladimir; Perelygin, Victor; Savina, Maria; Shmatov, Sergey; Shulha, Siarhei; Skatchkov, Nikolai; Smirnov, Vitaly; Voytishin, Nikolay; Zarubin, Anatoli; Chtchipounov, Leonid; Mundim, Luiz; Golovtcov, Victor; Ivanov, Yury; Kim, Victor; Kuznetsova, Ekaterina; Levchenko, Petr; Murzin, Victor; Oreshkin, Vadim; Smirnov, Igor; Sosnov, Dmitry; Sulimov, Valentin; Nogima, Helio; Uvarov, Lev; Vorobyev, Alexey; Andreev, Yuri; Dermenev, Alexander; Gninenko, Sergei; Golubev, Nikolai; Karneyeu, Anton; Kirsanov, Mikhail; Krasnikov, Nikolai; Pashenkov, Anatoli; Prado Da Silva, Wanda Lucia; Tlisov, Danila; Toropin, Alexander; Epshteyn, Vladimir; Gavrilov, Vladimir; Lychkovskaya, Natalia; Nikitenko, Alexander; Popov, Vladimir; Pozdnyakov, Ivan; Safronov, Grigory; Spiridonov, Alexander; Sanchez Rosas, Luis Junior; Stepennov, Anton; Toms, Maria; Vlasov, Evgueni; Zhokin, Alexander; Aushev, Tagir; Chadeeva, Marina; Parygin, Pavel; Philippov, Dmitry; Popova, Elena; Rusinov, Vladimir; Santoro, Alberto; Andreev, Vladimir; Azarkin, Maksim; Dremin, Igor; Kirakosyan, Martin; Terkulov, Adel; Baskakov, Alexey; Belyaev, Andrey; Boos, Edouard; Dubinin, Mikhail; Dudko, Lev; Sznajder, Andre; Ershov, Alexander; Gribushin, Andrey; Klyukhin, Vyacheslav; Kodolova, Olga; Lokhtin, Igor; Obraztsov, Stepan; Petrushanko, Sergey; Savrin, Viktor;
10.1007/s41781-020-00041-z , 10.48550/arxiv.1912.06046 , 10.3204/pubdb-2020-04208 , 10.3204/pubdb-2019-05347 , 10.3929/ethz-b-000459295
11588/837490 , 11368/2974377 , 20.500.14243/537999 , 10281/297241 , 10446/191239 , 11449/233073 , 11577/3419517 , 11573/1718251 , 11584/331949 , 11567/1100177 , 11568/1134453 , 11589/216204 , 11391/1547893 , 11384/149425 , 11585/803237 , 20.500.11769/526684 , 20.500.11850/459295 , 2158/1262494 , 1854/LU-8702179 , 1721.1/129404 , 10044/1/84282 , 11563/159367 , 1721.1/131856 , 11571/1478236 , 11586/499761
10.1007/s41781-020-00041-z , 10.48550/arxiv.1912.06046 , 10.3204/pubdb-2020-04208 , 10.3204/pubdb-2019-05347 , 10.3929/ethz-b-000459295
11588/837490 , 11368/2974377 , 20.500.14243/537999 , 10281/297241 , 10446/191239 , 11449/233073 , 11577/3419517 , 11573/1718251 , 11584/331949 , 11567/1100177 , 11568/1134453 , 11589/216204 , 11391/1547893 , 11384/149425 , 11585/803237 , 20.500.11769/526684 , 20.500.11850/459295 , 2158/1262494 , 1854/LU-8702179 , 1721.1/129404 , 10044/1/84282 , 11563/159367 , 1721.1/131856 , 11571/1478236 , 11586/499761
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
AbstractWe describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of$$\sqrt{s}=13\,\text {TeV} $$s=13TeVat the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41$$\,\text {fb}^{-1}$$fb-1. A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to$$\hbox {b}\bar{\hbox {b}}$$bb¯.
Switzerland, Belgium, Belarus, France, France, United Kingdom, Greece, Switzerland, Germany, Croatia, United States, United Kingdom, United Kingdom, Brazil, Italy, United States, Belgium, Croatia, Hungary, France
- Federal University of Rio de Janeiro Brazil
- Carnegie Mellon University United States
- National Research University of Electronic Technology Russian Federation
- HUN-REN Wigner Research Centre for Physics Hungary
- Imperial College London United Kingdom
Higgs particle: decay, 13000 GeV-cms, Jet energy, CMS, b jets, Higgs boson, Jet energy, Jet resolution, Deep learning, b jets, High Energy Physics - Experiment, physics.data-an, High Energy Physics - Experiment (hep-ex), High energy physics ; Experimental particle physics ; LHC ; CMS ; b jets ; Higgs boson ; Jet energy ; Jet resolution ; Deep learning, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], CMS, Physics, Jet resolution, 004, CERN LHC Coll, Q1 Science (General) / természettudomány általában, CMS Collaboration, PARTICLE PHYSICS, Physics - Data Analysis, Original Article, dispersion, LHC, jet: bottom, info:eu-repo/classification/ddc/004, Statistics and Probability, data analysis method, track data analysis: vertex, p p: scattering, CERN Lab, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], Physics - Data Analysis; Statistics and Probability; Physics - Data Analysis; Statistics and Probability; High Energy Physics - Experiment, Higgs boson, neural network, FOS: Physical sciences, 530, statistical analysis, jet: energy, High energy physics, ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика, Astrophysique, CMS; b jets; Higgs boson; Jet energy; Jet resolution; Deep learning, PARTICLE PHYSICS;LARGE HADRON COLLIDER;CMS, hep-ex, resolution, Deep learning, LARGE HADRON COLLIDER, sensitivity, b jets; CMS; Deep learning; Higgs boson; Jet energy; Jet resolution, Physics and Astronomy, CMS; Deep learning; Higgs boson; Jet energy; Jet resolution; b jets, Physics - Data Analysis, Statistics and Probability, vertex: secondary, Experimental particle physics, p p: colliding beams, Data Analysis, Statistics and Probability (physics.data-an), experimental results, b jets; CMS; Deep learning; Higgs boson; Jet energy; Jet resolution;
Higgs particle: decay, 13000 GeV-cms, Jet energy, CMS, b jets, Higgs boson, Jet energy, Jet resolution, Deep learning, b jets, High Energy Physics - Experiment, physics.data-an, High Energy Physics - Experiment (hep-ex), High energy physics ; Experimental particle physics ; LHC ; CMS ; b jets ; Higgs boson ; Jet energy ; Jet resolution ; Deep learning, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], CMS, Physics, Jet resolution, 004, CERN LHC Coll, Q1 Science (General) / természettudomány általában, CMS Collaboration, PARTICLE PHYSICS, Physics - Data Analysis, Original Article, dispersion, LHC, jet: bottom, info:eu-repo/classification/ddc/004, Statistics and Probability, data analysis method, track data analysis: vertex, p p: scattering, CERN Lab, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], Physics - Data Analysis; Statistics and Probability; Physics - Data Analysis; Statistics and Probability; High Energy Physics - Experiment, Higgs boson, neural network, FOS: Physical sciences, 530, statistical analysis, jet: energy, High energy physics, ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика, Astrophysique, CMS; b jets; Higgs boson; Jet energy; Jet resolution; Deep learning, PARTICLE PHYSICS;LARGE HADRON COLLIDER;CMS, hep-ex, resolution, Deep learning, LARGE HADRON COLLIDER, sensitivity, b jets; CMS; Deep learning; Higgs boson; Jet energy; Jet resolution, Physics and Astronomy, CMS; Deep learning; Higgs boson; Jet energy; Jet resolution; b jets, Physics - Data Analysis, Statistics and Probability, vertex: secondary, Experimental particle physics, p p: colliding beams, Data Analysis, Statistics and Probability (physics.data-an), experimental results, b jets; CMS; Deep learning; Higgs boson; Jet energy; Jet resolution;
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