Tracking on the BESIII CGEM inner detector using deep learning Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.20537/2076-7633-2020-12-6-1361-1381
Реконструкция траекторий заряженных частиц в трековых детекторах является ключевой проблемой анализа экспериментальных данных для физики высоких энергий и ядерной физики. Поток данных в современных экспериментах растет день ото дня, и традиционные методы трекинга уже не в состоянии соответствовать этим объемам данных по скорости обработки. Для решения этой проблемы нами были разработаны два нейросетевых алгоритма, использующих методы глубокого обучения, для локальной (каждый трек в отдельности) и глобальной (все треки в событии) реконструкции треков применительно к данным трекового GEM-детектора эксперимента BM@N ОИЯИ. Преимущество глубоких нейронных сетей обусловлено их способностью к обнаружению скрытых нелинейных зависимостей в данных и возможностью параллельного выполнения операций линейной алгебры, лежащих в их основе.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.20537/2076-7633-2020-12-6-1361-1381
- http://crm.ics.org.ru/uploads/crmissues/crm_2020_6/2020_06_09.pdf
- OA Status
- diamond
- Cited By
- 3
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3113507680
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3113507680Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20537/2076-7633-2020-12-6-1361-1381Digital Object Identifier
- Title
-
Tracking on the BESIII CGEM inner detector using deep learningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-01Full publication date if available
- Authors
-
G. Ososkov, Olga Bakina, Dmitry Baranov, Pavel Goncharov, I. Denisenko, A. Zhemchugov, Yury Anatolevich Nefedov, Andrey Nechaevskiy, A. Nikolskaya, Egor Shchavelev, Liangliang Wang, S. S. Sun, Yao ZhangList of authors in order
- Landing page
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https://doi.org/10.20537/2076-7633-2020-12-6-1361-1381Publisher landing page
- PDF URL
-
https://crm.ics.org.ru/uploads/crmissues/crm_2020_6/2020_06_09.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://crm.ics.org.ru/uploads/crmissues/crm_2020_6/2020_06_09.pdfDirect OA link when available
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Tracking (education), Detector, Artificial intelligence, Computer science, Physics, Psychology, Optics, PedagogyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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