000001960 001__ 1960
000001960 005__ 20200720113902.0
000001960 037__ $$aBELLE2-CONF-PROC-2020-009
000001960 041__ $$aeng
000001960 100__ $$aSimon Kurz
000001960 245__ $$aPerformance of Belle II tracking on collision data
000001960 260__ $$a$$c2020-06-11
000001960 300__ $$a11
000001960 520__ $$aThe tracking system of Belle II consists of a silicon vertex detector (VXD) and a cylindrical drift chamber (CDC), both operating in a magnetic field created by the main solenoid of 1.5 T and final focusing magnets. The tracking algorithms employed at Belle II are based on a standalone reconstruction in SVD and CDC as well as on a combination of the two approaches, they employ a number of machine learning methods for optimal performance. The tracking reconstruction is tested on the collision data collected in 2018 and 2019. The first experience with data introduced additional challenges which are mitigated with the introduction of new algorithms such as track finding seeded by calorimeter clusters and CDC cross-talk filtering.
000001960 6531_ $$aTracking
000001960 6531_ $$aPerformance
000001960 6531_ $$aAlgorithms
000001960 6531_ $$aReconstruction
000001960 6531_ $$aConnecting the Dots
000001960 8560_ $$fsimon.kurz@desy.de
000001960 8564_ $$uhttps://docs.belle2.org/record/1960/files/BELLE2-CONF-PROC-2020-009.pdf