Combinatorial Kalman Filter and High Level Trigger Reconstruction for the Belle II Experiment Paperback / softback
by Nils Braun
Part of the Springer Theses series
Paperback / softback
- Information
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:177 pages, 112 Illustrations, color; 2 Illustrations, black and white; XI, 177 p. 114 illus., 112 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:20/08/2020
- Category:
- ISBN:9783030249991
Other Formats
- EPUB from £76.08
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:177 pages, 112 Illustrations, color; 2 Illustrations, black and white; XI, 177 p. 114 illus., 112 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:20/08/2020
- Category:
- ISBN:9783030249991