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Электронный каталог: Hnatic, S. - ACTS Tracking Performance in MPDRoot with Native TPC Geometry and Fast Clustering
Hnatic, S. - ACTS Tracking Performance in MPDRoot with Native TPC Geometry and Fast Clustering

Статья
Автор: Hnatic, S.
Физика элементарных частиц и атомного ядра: ACTS Tracking Performance in MPDRoot with Native TPC Geometry and Fast Clustering
б.г.
ISBN отсутствует
Автор: Hnatic, S.
Физика элементарных частиц и атомного ядра: ACTS Tracking Performance in MPDRoot with Native TPC Geometry and Fast Clustering
б.г.
ISBN отсутствует
Статья
Hnatic, S.
ACTS Tracking Performance in MPDRoot with Native TPC Geometry and Fast Clustering / S.Hnatic, V.Krylov, A.Bychkov, O.Rogachevsky, J.Busa Jr., A.Moshkin, A.Krylov // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 5. – P. 1121. – URL: https://www1.jinr.ru/Pepan/v-57-5/60_Hnatic_ann.pdf.
MPD (NICA) is a world-class relativistic nuclear physics experiment in Russia, projected to run for a few decades and to collect heavy-ion collisions data for physical analysis at the 100 PB scale. The main challenge of the offline data processing software for the MPD experiment, the MPDRoot, is event reconstruction — the cascade of algorithms converting raw data signals into physical information, such as the momentum of charged particles, during the track reconstruction process. The significance of NICA future scientific discoveries depends directly on the quality of event reconstruction. We present the improvements obtained by implementation of native MPD TPC geometry into MPDRoot’s ACTS TPC tracker and the replacement of the MPD default clustering by the new fast clustering and hit extraction algorithm. The new modules are inherently designed to be able to operate in the real experiment.
Спец.(статьи,препринты) = Ц 840 в - Программы обработки экспериментальных данных и управление физическими установками$
ОИЯИ = ОИЯИ (JINR)2026
Hnatic, S.
ACTS Tracking Performance in MPDRoot with Native TPC Geometry and Fast Clustering / S.Hnatic, V.Krylov, A.Bychkov, O.Rogachevsky, J.Busa Jr., A.Moshkin, A.Krylov // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 5. – P. 1121. – URL: https://www1.jinr.ru/Pepan/v-57-5/60_Hnatic_ann.pdf.
MPD (NICA) is a world-class relativistic nuclear physics experiment in Russia, projected to run for a few decades and to collect heavy-ion collisions data for physical analysis at the 100 PB scale. The main challenge of the offline data processing software for the MPD experiment, the MPDRoot, is event reconstruction — the cascade of algorithms converting raw data signals into physical information, such as the momentum of charged particles, during the track reconstruction process. The significance of NICA future scientific discoveries depends directly on the quality of event reconstruction. We present the improvements obtained by implementation of native MPD TPC geometry into MPDRoot’s ACTS TPC tracker and the replacement of the MPD default clustering by the new fast clustering and hit extraction algorithm. The new modules are inherently designed to be able to operate in the real experiment.
Спец.(статьи,препринты) = Ц 840 в - Программы обработки экспериментальных данных и управление физическими установками$
ОИЯИ = ОИЯИ (JINR)2026
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