Machine Learning based tool for CMS RPC currents quality monitoring

Author:

Shumka E.ORCID,Samalan A.,Tytgat M.,El Sawy M.,Alves G.A.,Marujo F.,Coelho E.A.,Da Costa E.M.,Nogima H.,Santoro A.,De Souza S. Fonseca,De Jesus Damiao D.,Thiel M.,Amarilo K. Mota,Filho M. Barroso Ferreira,Aleksandrov A.,Hadjiiska R.,Iaydjiev P.,Rodozov M.,Shopova M.,Soultanov G.,Dimitrov A.,Litov L.,Pavlov B.,Petkov P.,Petrov A.,Qian S.J.,Kou H.,Liu Z.-A.,Zhao J.,Song J.,Hou Q.,Diao W.,Cao P.,Avila C.,Barbosa D.,Cabrera A.,Florez A.,Fraga J.,Reyes J.,Assran Y.,Mahmoud M.A.,Mohammed Y.,Crotty I.,Laktineh I.,Grenier G.,Gouzevitch M.,Mirabito L.,Shchablo K.,Bagaturia I.,Lomidze I.,Tsamalaidze Z.,Amoozegar V.,Boghrati B.,Ebraimi M.,Najafabadi M. Mohammadi,Zareian E.,Abbrescia M.,Iaselli G.,Pugliese G.,Loddo F.,De Filippis N.,Aly R.,Ramos D.,Elmetenawee W.,Leszki S.,Margjeka I.,Paesani D.,Benussi L.,Bianco S.,Piccolo D.,Meola S.,Buontempo S.,Carnevali F.,Lista L.,Paolucci P.,Fienga F.,Braghieri A.,Salvini P.,Montagna P.,Riccardi C.,Vitulo P.,Asilar E.,Choi J.,Kim T.J.,Choi S.Y.,Hong B.,Lee K.S.,Oh H.Y.,Goh J.,Yu I.,Estrada C. Uribe,Pedraza I.,Castilla-Valdez H.,Sanchez-Hernandez A.,Fernandez R.L.,Ramirez-Garcia M.,Vazquez E.,Shah M.A.,Zaganidis N.,Radi A.,Hoorani H.,Muhammad S.,Ahmad A.,Asghar I.,Khan W.A.,Eysermans J.,Da Silva De Araujo F. Torres

Funder

Ministerio de Ciencia, Tecnología e Innovación

Ministry of Science, ICT and Future Planning

Pakistan Atomic Energy Commission

Department of Science and Technology, Ministry of Science and Technology, India

National Research Foundation of Korea

Institut National de Physique Nucléaire et de Physique des Particules

Department of Atomic Energy, Government of India

Instituto Nazionale di Fisica Nucleare

Laboratorio Nacional de Supercómputo del Sureste de Mexico

National Natural Science Foundation of China

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional

U.S. Department of Energy

Secretaría de Educación Pública

National Science Foundation

Ministry of Science and Technology of the People's Republic of China

Ministry of Education and Science

Fonds Wetenschappelijk Onderzoek

Institute for Research in Fundamental Sciences

Consejo Nacional de Ciencia y Tecnología

Benemérita Universidad Autónoma de Puebla

Bulgarian National Science Fund

CERN

Centre National de la Recherche Scientifique

Chinese Academy of Sciences

Universidad Autónoma de San Luis Potosí

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference6 articles.

1. The CMS experiment at the CERN LHC;J. Instrum.,2008

2. Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at s = 13 TeV;J. Instrum.,2018

3. A new approach for CMS RPC currents monitoring using machine learning techniques;Samalan;J. Instrum.,2020

4. Gas mixture quality studies for the CMS RPC detectors during LHC run 2;Gelmi;J. Instrum.,2021

5. Tensorflow,2022

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