Combinatorial Kalman Filter and High Level Trigger Reconstruction for the Belle II Experiment

Nils Braun (Autor)

Buch | Softcover

XI, 177 Seiten

2020 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-24999-1 (ISBN)

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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.

Introduction.- Experimental Setup.- Foundations.- Fast Reconstruction for the High Level Trigger.- Event Timing.- Combinatorial Kalman Filter.- Conclusion.- Bibliography.

Erscheinungsdatum	22.08.2020
Reihe/Serie	Springer Theses
Zusatzinfo	XI, 177 p. 114 illus., 112 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	302 g
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Atom- / Kern- / Molekularphysik
	Naturwissenschaften ► Physik / Astronomie ► Hochenergiephysik / Teilchenphysik
	Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
Schlagworte	Belle II • collision event null time • Combinatorial Kalman Filter • Event Time Determination • High Level Trigger • Track finding algorithm
ISBN-10	3-030-24999-9 / 3030249999
ISBN-13	978-3-030-24999-1 / 9783030249991
Zustand	Neuware