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Track finding at Belle II
Computer Physics Communications ( IF 7.2 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.cpc.2020.107610
Valerio Bertacchi , Tadeas Bilka , Nils Braun , Giulia Casarosa , Luigi Corona , Sam Cunliffe , Filippo Dattola , Gaetano De Marino , Michael De Nuccio , Giacomo De Pietro , Thanh Van Dong , Giulio Dujany , Patrick Ecker , Michael Eliachevitch , Tristan Fillinger , Oliver Frost , Rudolf Frühwirth , Uwe Gebauer , Sasha Glazov , Nicolas Gosling , Aiqiang Guo , Thomas Hauth , Martin Heck , Mateusz Kaleta , Jakub Kandra , Claus Kleinwort , Thomas Kuhr , Simon Kurz , Peter Kvasnicka , Jakob Lettenbichler , Thomas Lueck , Alberto Martini , Felix Metzner , Dmitrii Neverov , Carsten Niebuhr , Eugenio Paoloni , Sourav Patra , Leo Piilonen , Cyrille Praz , Markus Tobias Prim , Christian Pulvermacher , Sebastian Racs , Navid Rad , Petar Rados , Martin Ritter , Giuliana Rizzo , Armine Rostomyan , Bianca Scavino , Tobias Schlüter , Benjamin Schwenker , Stefano Spataro , Björn Spruck , Henrikas Svidras , Francesco Tenchini , Yuma Uematsu , James Webb , Christian Wessel , Laura Zani

This paper describes the track-finding algorithm that is used for event reconstruction in the Belle II experiment operating at the SuperKEKB B-factory in Tsukuba, Japan. The algorithm is designed to balance the requirements of a high efficiency to find charged particles with a good track parameter resolution, a low rate of spurious tracks, and a reasonable demand on CPU resources. The software is implemented in a flexible, modular manner and employs a diverse selection of global and local track-finding algorithms to achieve an optimal performance.

中文翻译:

在 Belle II 寻找轨道

本文介绍了在日本筑波 SuperKEKB B 工厂进行的 Belle II 实验中用于事件重建的寻轨算法。该算法旨在平衡寻找带电粒子的效率高、轨迹参数分辨率好、伪轨迹率低和对CPU资源合理需求的要求。该软件以灵活、模块化的方式实施,并采用多种选择的全局和局部跟踪算法来实现最佳性能。
更新日期:2021-02-01
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