Deeply learned preselection of Higgs dijet decays at future lepton colliders
Future electron-positron colliders will play a leading role in the precision measurement of Higgs boson couplings which is one of the central interests in particle physics. Aiming at maximizing the performance to measure the Higgs couplings to the bottom, charm and strange quarks, we develop machine...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | Physics Letters B |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S037026932200435X |
| _version_ | 1818483354892238848 |
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| author | So Chigusa Shu Li Yuichiro Nakai Wenxing Zhang Yufei Zhang Jiaming Zheng |
| author_facet | So Chigusa Shu Li Yuichiro Nakai Wenxing Zhang Yufei Zhang Jiaming Zheng |
| author_sort | So Chigusa |
| collection | DOAJ |
| description | Future electron-positron colliders will play a leading role in the precision measurement of Higgs boson couplings which is one of the central interests in particle physics. Aiming at maximizing the performance to measure the Higgs couplings to the bottom, charm and strange quarks, we develop machine learning methods to improve the selection of events with a Higgs decaying to dijets. Our methods are based on the Boosted Decision Tree (BDT), Fully-Connected Neural Network (FCNN) and Convolutional Neural Network (CNN). We find that the BDT and FCNN algorithms outperform the conventional cut-based method. With our improved selection of Higgs decaying to dijet events using the FCNN, the charm quark signal strength is measured with a 16% error, which is roughly a factor of two better than the 34% precision obtained by the cut-based analysis. Also, the strange quark signal strength is constrained as μss≲35 at the 95% C.L. with the FCNN, which is to be compared with μss≲70 obtained by the cut-based method. |
| first_indexed | 2024-12-10T11:59:03Z |
| format | Article |
| id | doaj.art-c602bc87e9504032a14079790606e1d3 |
| institution | Directory Open Access Journal |
| issn | 0370-2693 |
| language | English |
| last_indexed | 2024-12-10T11:59:03Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Physics Letters B |
| spelling | doaj.art-c602bc87e9504032a14079790606e1d32022-12-22T01:49:41ZengElsevierPhysics Letters B0370-26932022-10-01833137301Deeply learned preselection of Higgs dijet decays at future lepton collidersSo Chigusa0Shu Li1Yuichiro Nakai2Wenxing Zhang3Yufei Zhang4Jiaming Zheng5Berkeley Center for Theoretical Physics, Department of Physics, University of California, Berkeley, CA 94720, USA; Theoretical Physics Group, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; KEK Theory Center, IPNS, KEK, Tsukuba, Ibaraki 305-0801, JapanTsung-Dao Lee Institute, Shanghai Jiao Tong University, 520 Shengrong Road, Shanghai 201210, China; Institute of Nuclear and Particle Physics, School of Physics and Astronomy, Key Laboratory for Particle Physics and Cosmology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China; Center for High Energy Physics, Peking University, 5 Yiheyuan Road, Beijing 100871, China; School of Mechanical and Electronic Engineering, Suzhou University, Suzhou 234000, Anhui, ChinaTsung-Dao Lee Institute, Shanghai Jiao Tong University, 520 Shengrong Road, Shanghai 201210, China; Institute of Nuclear and Particle Physics, School of Physics and Astronomy, Key Laboratory for Particle Physics and Cosmology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, ChinaTsung-Dao Lee Institute, Shanghai Jiao Tong University, 520 Shengrong Road, Shanghai 201210, China; Institute of Nuclear and Particle Physics, School of Physics and Astronomy, Key Laboratory for Particle Physics and Cosmology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China; Corresponding author.Tsung-Dao Lee Institute, Shanghai Jiao Tong University, 520 Shengrong Road, Shanghai 201210, China; Institute of Nuclear and Particle Physics, School of Physics and Astronomy, Key Laboratory for Particle Physics and Cosmology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, ChinaInstitute of Nuclear and Particle Physics, School of Physics and Astronomy, Key Laboratory for Particle Physics and Cosmology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China; Tsung-Dao Lee Institute, Shanghai Jiao Tong University, 520 Shengrong Road, Shanghai 201210, ChinaFuture electron-positron colliders will play a leading role in the precision measurement of Higgs boson couplings which is one of the central interests in particle physics. Aiming at maximizing the performance to measure the Higgs couplings to the bottom, charm and strange quarks, we develop machine learning methods to improve the selection of events with a Higgs decaying to dijets. Our methods are based on the Boosted Decision Tree (BDT), Fully-Connected Neural Network (FCNN) and Convolutional Neural Network (CNN). We find that the BDT and FCNN algorithms outperform the conventional cut-based method. With our improved selection of Higgs decaying to dijet events using the FCNN, the charm quark signal strength is measured with a 16% error, which is roughly a factor of two better than the 34% precision obtained by the cut-based analysis. Also, the strange quark signal strength is constrained as μss≲35 at the 95% C.L. with the FCNN, which is to be compared with μss≲70 obtained by the cut-based method.http://www.sciencedirect.com/science/article/pii/S037026932200435X |
| spellingShingle | So Chigusa Shu Li Yuichiro Nakai Wenxing Zhang Yufei Zhang Jiaming Zheng Deeply learned preselection of Higgs dijet decays at future lepton colliders Physics Letters B |
| title | Deeply learned preselection of Higgs dijet decays at future lepton colliders |
| title_full | Deeply learned preselection of Higgs dijet decays at future lepton colliders |
| title_fullStr | Deeply learned preselection of Higgs dijet decays at future lepton colliders |
| title_full_unstemmed | Deeply learned preselection of Higgs dijet decays at future lepton colliders |
| title_short | Deeply learned preselection of Higgs dijet decays at future lepton colliders |
| title_sort | deeply learned preselection of higgs dijet decays at future lepton colliders |
| url | http://www.sciencedirect.com/science/article/pii/S037026932200435X |
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