Combinatorial Kalman Filter and High Level Trigger Reconstruction for the Belle II Experiment (Paperback, 1st ed. 2019)

Combinatorial Kalman filters are a standard tool today for pattern recognition and charged particle reconstruction in high energy physics. In this thesis the implementation of the track finding software for the Belle II experiment and first studies on early Belle II data are presented. The track finding algorithm exploits novel concepts such as multivariate track quality estimates to form charged trajectory hypotheses combining information from the Belle II central drift chamber with the inner vertex sub-detectors. The eventual track candidates show an improvement in resolution on the parameters describing their spatial and momentum properties by up to a factor of seven over the former legacy implementation. The second part of the thesis documents a novel way to determine the collision event null time T0 and the implementation of optimisation steps in the online reconstruction code, which proved crucial in overcoming the high level trigger limitations.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	August 2020
First published:	2019
Authors:	Nils Braun
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	177
Edition:	1st ed. 2019
ISBN-13:	978-3-03-024999-1
Categories:	Books > Science & Mathematics > Science: general issues > Scientific standards Books > Science & Mathematics > Physics > Particle & high-energy physics Books > Science & Mathematics > Physics > Quantum physics (quantum mechanics) > General Promotions
LSN:	3-03-024999-9
Barcode:	9783030249991

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