N. Balashov, N. Kutovskiy, A. Makhalkin, Yelena Mazhitova, I. Pelevanyuk, R. Semenov
For a significant reduction of time spent on research to obtain meaningful results in scientific fields, the computing resources of the Joint Institute for Nuclear Research (JINR) and some organizations of its Member States were integrated into a distributed information and computing environment (DICE). The technical possibility for running tasks in the environment was implemented for users of the BM@N, MPD and Baikal-GVD collaborations. The resources not occupied by computational tasks within the main scientific fields of JINR are used to conduct studies on the SARS-CoV-2 virus that causes the COVID-19 disease. In addition, the paper gives a description of the DICE technical implementation, lists the participating organizations and provides some statistics on the use of their resources.
{"title":"Distributed information and computing infrastructure of JINR member states’ organizations","authors":"N. Balashov, N. Kutovskiy, A. Makhalkin, Yelena Mazhitova, I. Pelevanyuk, R. Semenov","doi":"10.1063/5.0063809","DOIUrl":"https://doi.org/10.1063/5.0063809","url":null,"abstract":"For a significant reduction of time spent on research to obtain meaningful results in scientific fields, the computing resources of the Joint Institute for Nuclear Research (JINR) and some organizations of its Member States were integrated into a distributed information and computing environment (DICE). The technical possibility for running tasks in the environment was implemented for users of the BM@N, MPD and Baikal-GVD collaborations. The resources not occupied by computational tasks within the main scientific fields of JINR are used to conduct studies on the SARS-CoV-2 virus that causes the COVID-19 disease. In addition, the paper gives a description of the DICE technical implementation, lists the participating organizations and provides some statistics on the use of their resources.","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131052883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A variety of studies is planned at the future Compact Linear Collider (CLIC) e+e− collider with energy up to 3 TeV. One of the studies is the precision Higgs boson mass measurement planned at the first stage of the CLIC project. The traditional method of recoil mass reconstruction was shown to be ineffective in the CLIC experimental conditions. Instead the new method of the Higgs reconstruction using b-quarks jet directions, originally proposed for the ILC, is expected to be especially effective at CLIC. In this report the Monte-Carlo study of the Higgs mass reconstruction is presented. The goal of the study is to evaluate the expected precision of the Higgs boson mass measurement at the CLIC using the new reconstruction method.
{"title":"New method to measure Higgs mass at CLIC collider","authors":"P. Shvydkin, I. Boyko","doi":"10.1063/5.0063407","DOIUrl":"https://doi.org/10.1063/5.0063407","url":null,"abstract":"A variety of studies is planned at the future Compact Linear Collider (CLIC) e+e− collider with energy up to 3 TeV. One of the studies is the precision Higgs boson mass measurement planned at the first stage of the CLIC project. The traditional method of recoil mass reconstruction was shown to be ineffective in the CLIC experimental conditions. Instead the new method of the Higgs reconstruction using b-quarks jet directions, originally proposed for the ILC, is expected to be especially effective at CLIC. In this report the Monte-Carlo study of the Higgs mass reconstruction is presented. The goal of the study is to evaluate the expected precision of the Higgs boson mass measurement at the CLIC using the new reconstruction method.","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115756774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Goncharov, Egor Schavelev, A. Nikolskaya, G. Ososkov
Particle tracking is a fundamental part of the event analysis in high energy and nuclear physics (HENP). Events multiplicity increases each year along with the drastic growth of the experimental data which modern HENP detectors produce, so the classical tracking algorithms such as the well-known Kalman filter cannot satisfy speed and scaling requirements. At the same time, breakthroughs in the study of deep learning open an opportunity for the application of high-performance deep neural networks for solving tracking problems in a dense environment of experiments with heavy ions. However, there are no well-documented software libraries for deep learning track reconstruction yet. We introduce Ariadne, the first open-source library for particle tracking based on the PyTorch deep learning framework. The goal of our library is to provide a simple interface that allows one to prepare train and test datasets and to train and evaluate one of the deep tracking models implemented in the library on the data from your specific experiment. The user experience is greatly facilitated because of the system of gin-configurations. The modular structure of the library and abstract classes let the user develop his data processing pipeline and deep tracking model easily. The proposed library is open-source to facilitate academic research in the field of particle tracking based on deep learning.
{"title":"Ariadne: PyTorch library for particle track reconstruction using deep learning","authors":"P. Goncharov, Egor Schavelev, A. Nikolskaya, G. Ososkov","doi":"10.1063/5.0063300","DOIUrl":"https://doi.org/10.1063/5.0063300","url":null,"abstract":"Particle tracking is a fundamental part of the event analysis in high energy and nuclear physics (HENP). Events multiplicity increases each year along with the drastic growth of the experimental data which modern HENP detectors produce, so the classical tracking algorithms such as the well-known Kalman filter cannot satisfy speed and scaling requirements. At the same time, breakthroughs in the study of deep learning open an opportunity for the application of high-performance deep neural networks for solving tracking problems in a dense environment of experiments with heavy ions. However, there are no well-documented software libraries for deep learning track reconstruction yet. We introduce Ariadne, the first open-source library for particle tracking based on the PyTorch deep learning framework. The goal of our library is to provide a simple interface that allows one to prepare train and test datasets and to train and evaluate one of the deep tracking models implemented in the library on the data from your specific experiment. The user experience is greatly facilitated because of the system of gin-configurations. The modular structure of the library and abstract classes let the user develop his data processing pipeline and deep tracking model easily. The proposed library is open-source to facilitate academic research in the field of particle tracking based on deep learning.","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133758721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of aggregated requests scheduling in a system with non-separable resources and parallel data processing","authors":"V. Tokareva","doi":"10.1063/5.0063574","DOIUrl":"https://doi.org/10.1063/5.0063574","url":null,"abstract":"","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"443 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115611057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The BFV-BRST Hamiltonian quantization method is presented for the theories where the gauge parameters are restricted by differential equations. The general formalism is exemplified by the Maxwell-like theory of symmetric tensor field.
{"title":"Hamiltonian BFV-BRST quantization for the systems with unfree gauge symmetry","authors":"V. Abakumova, S. Lyakhovich","doi":"10.1063/5.0063632","DOIUrl":"https://doi.org/10.1063/5.0063632","url":null,"abstract":"The BFV-BRST Hamiltonian quantization method is presented for the theories where the gauge parameters are restricted by differential equations. The general formalism is exemplified by the Maxwell-like theory of symmetric tensor field.","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127107040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Munkhbaatar Batmunkh, L. Bayarchimeg, A. Bugay, O. Lkhagva
{"title":"Computer simulation of radiation damage mechanisms in the structure of brain cells","authors":"Munkhbaatar Batmunkh, L. Bayarchimeg, A. Bugay, O. Lkhagva","doi":"10.1063/5.0063370","DOIUrl":"https://doi.org/10.1063/5.0063370","url":null,"abstract":"","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Bashashin, E. Zemlyanaya, M. Kakenov, A. Yermekova, K. Lukyanov
{"title":"Analysis of the 12,14Be+12C scattering data within a parallel implementation of 4-parameter model","authors":"M. Bashashin, E. Zemlyanaya, M. Kakenov, A. Yermekova, K. Lukyanov","doi":"10.1063/5.0063345","DOIUrl":"https://doi.org/10.1063/5.0063345","url":null,"abstract":"","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114962915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Rezvaya, P. Goncharov, Egor Schavelev, I. Denisenko, G. Ososkov, A. Zhemchugov
{"title":"The LOOT model for primary vertex finding in the BES-III inner tracking detector","authors":"E. Rezvaya, P. Goncharov, Egor Schavelev, I. Denisenko, G. Ososkov, A. Zhemchugov","doi":"10.1063/5.0063499","DOIUrl":"https://doi.org/10.1063/5.0063499","url":null,"abstract":"","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114379498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Nikolskaia, Egor Schavelev, P. Goncharov, G. Ososkov, Y. Nefedov, A. Zhemchugov, I. Denisenko
{"title":"Local strategy of particle tracking with TrackNETv2 on the BES-III CGEM inner detector","authors":"A. Nikolskaia, Egor Schavelev, P. Goncharov, G. Ososkov, Y. Nefedov, A. Zhemchugov, I. Denisenko","doi":"10.1063/5.0063993","DOIUrl":"https://doi.org/10.1063/5.0063993","url":null,"abstract":"","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116867038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Kozhina, V. Chausov, Anfisa S. Filatova, T. Hramco, E. Ilyina, M. Krupnova, E. Kuzmina, S. Tiounchik, A. Boreyko
{"title":"Detection of clustered DNA damage in neuronal cells induced by ionizing radiation with different physical characteristics","authors":"R. Kozhina, V. Chausov, Anfisa S. Filatova, T. Hramco, E. Ilyina, M. Krupnova, E. Kuzmina, S. Tiounchik, A. Boreyko","doi":"10.1063/5.0064435","DOIUrl":"https://doi.org/10.1063/5.0064435","url":null,"abstract":"","PeriodicalId":296008,"journal":{"name":"PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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