Use of a generalized energy Mover's distance in the search for rare phenomena at colliders
| Main Author: | |
|---|---|
| Publication Date: | 2021 |
| Other Authors: | , , , |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/1822/75122 |
Summary: | In this paper, we expand on the previously proposed concept of energy Mover's distance. The resulting observables are shown to provide a way of identifying rare processes in proton-proton collider experiments. It is shown that different processes are grouped together differently and that this can contribute to the improvement of experimental analyses. The ttZ production at the Large Hadron Collider is used as a benchmark to illustrate the applicability of the method. Furthermore, we study the use of these observables as new features which can be used in the training of deep neural networks. |
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Use of a generalized energy Mover's distance in the search for rare phenomena at collidersCiências Naturais::Ciências FísicasScience & TechnologyIn this paper, we expand on the previously proposed concept of energy Mover's distance. The resulting observables are shown to provide a way of identifying rare processes in proton-proton collider experiments. It is shown that different processes are grouped together differently and that this can contribute to the improvement of experimental analyses. The ttZ production at the Large Hadron Collider is used as a benchmark to illustrate the applicability of the method. Furthermore, we study the use of these observables as new features which can be used in the training of deep neural networks.We thank Jesse Thaler and Guilherme Guedes for the very useful discussions. We also acknowledge the support from FCT Portugal, Lisboa2020, Compete2020, Portugal2020 and FEDER under the projects PTDC/FIS-PAR/29147/2017 and CERN/FIS-PAR/0024/2019 and through the Grant PD/BD/135435/2017. The computational part of this work was supported by INCD (funded by FCT and FEDER under the project 01/SAICT/2016 nr. 022153) and by the Minho Advanced Computing Center (MACC). The Titan Xp GPU card used for the training of the Deep Neural Networks developed for this project was kindly donated by the NVIDIA Corporation.SpringerUniversidade do MinhoRomão, M. CrispimCastro, Nuno FilipeMilhano, J. G.Pedro, R.Vale, T.2021-02-262021-02-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/75122engCrispim Romão, M., Castro, N.F., Milhano, J.G. et al. Use of a generalized energy Mover’s distance in the search for rare phenomena at colliders. Eur. Phys. J. C 81, 192 (2021). https://doi.org/10.1140/epjc/s10052-021-08891-61434-604410.1140/epjc/s10052-021-08891-6https://link.springer.com/article/10.1140%2Fepjc%2Fs10052-021-08891-6info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:22:43Zoai:repositorium.sdum.uminho.pt:1822/75122Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:16:44.866760Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders |
| title |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders |
| spellingShingle |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders Romão, M. Crispim Ciências Naturais::Ciências Físicas Science & Technology |
| title_short |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders |
| title_full |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders |
| title_fullStr |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders |
| title_full_unstemmed |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders |
| title_sort |
Use of a generalized energy Mover's distance in the search for rare phenomena at colliders |
| author |
Romão, M. Crispim |
| author_facet |
Romão, M. Crispim Castro, Nuno Filipe Milhano, J. G. Pedro, R. Vale, T. |
| author_role |
author |
| author2 |
Castro, Nuno Filipe Milhano, J. G. Pedro, R. Vale, T. |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Romão, M. Crispim Castro, Nuno Filipe Milhano, J. G. Pedro, R. Vale, T. |
| dc.subject.por.fl_str_mv |
Ciências Naturais::Ciências Físicas Science & Technology |
| topic |
Ciências Naturais::Ciências Físicas Science & Technology |
| description |
In this paper, we expand on the previously proposed concept of energy Mover's distance. The resulting observables are shown to provide a way of identifying rare processes in proton-proton collider experiments. It is shown that different processes are grouped together differently and that this can contribute to the improvement of experimental analyses. The ttZ production at the Large Hadron Collider is used as a benchmark to illustrate the applicability of the method. Furthermore, we study the use of these observables as new features which can be used in the training of deep neural networks. |
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2021 |
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2021-02-26 2021-02-26T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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http://hdl.handle.net/1822/75122 |
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eng |
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eng |
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Crispim Romão, M., Castro, N.F., Milhano, J.G. et al. Use of a generalized energy Mover’s distance in the search for rare phenomena at colliders. Eur. Phys. J. C 81, 192 (2021). https://doi.org/10.1140/epjc/s10052-021-08891-6 1434-6044 10.1140/epjc/s10052-021-08891-6 https://link.springer.com/article/10.1140%2Fepjc%2Fs10052-021-08891-6 |
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Springer |
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Springer |
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