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Электронный каталог: Zinchenko, D. - Performance of the Vector Finder Toolkit for Track Reconstruction at the BM@N Experiment
Zinchenko, D. - Performance of the Vector Finder Toolkit for Track Reconstruction at the BM@N Experiment

Статья
Автор: Zinchenko, D.
Физика элементарных частиц и атомного ядра: Performance of the Vector Finder Toolkit for Track Reconstruction at the BM@N Experiment
б.г.
ISBN отсутствует
Автор: Zinchenko, D.
Физика элементарных частиц и атомного ядра: Performance of the Vector Finder Toolkit for Track Reconstruction at the BM@N Experiment
б.г.
ISBN отсутствует
Статья
Zinchenko, D.
Performance of the Vector Finder Toolkit for Track Reconstruction at the BM@N Experiment / D.Zinchenko, A.Zinchenko, R.Zinchenko, E.Nikonov // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 5. – P. 1166. – URL: https://www1.jinr.ru/Pepan/v-57-5/71_Zinchenko_ann.pdf.
The Baryonic Matter at Nuclotron (BM@N) experiment at the NICA accelerator complex is currently in its active phase, analyzing data collected from the first physics run and preparing for future data taking. One of the most important software components for event reconstruction in high-multiplicity environment of heavy-ion interactions is a track reconstruction package. At BM@N, it was developed and implemented as a Vector Finder software toolkit based on a constrained combinatorial search approach. The current status of the method performance is presented for simulated and real data from the BM@N experiment. To improve reconstruction quality, a fake track suppression method based on machine learning techniques using ROOT TMVA package was implemented for BM@N, and its characteristics are demonstrated.
Спец.(статьи,препринты) = С 344.1ш - Методы обработки результатов измерений
ОИЯИ = ОИЯИ (JINR)2026
Zinchenko, D.
Performance of the Vector Finder Toolkit for Track Reconstruction at the BM@N Experiment / D.Zinchenko, A.Zinchenko, R.Zinchenko, E.Nikonov // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 5. – P. 1166. – URL: https://www1.jinr.ru/Pepan/v-57-5/71_Zinchenko_ann.pdf.
The Baryonic Matter at Nuclotron (BM@N) experiment at the NICA accelerator complex is currently in its active phase, analyzing data collected from the first physics run and preparing for future data taking. One of the most important software components for event reconstruction in high-multiplicity environment of heavy-ion interactions is a track reconstruction package. At BM@N, it was developed and implemented as a Vector Finder software toolkit based on a constrained combinatorial search approach. The current status of the method performance is presented for simulated and real data from the BM@N experiment. To improve reconstruction quality, a fake track suppression method based on machine learning techniques using ROOT TMVA package was implemented for BM@N, and its characteristics are demonstrated.
Спец.(статьи,препринты) = С 344.1ш - Методы обработки результатов измерений
ОИЯИ = ОИЯИ (JINR)2026
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