Combinatorial Kalman Filter And High Level Trigger Reconstruction For The Belle Ii Experiment
DOWNLOAD
Download Combinatorial Kalman Filter And High Level Trigger Reconstruction For The Belle Ii Experiment PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Combinatorial Kalman Filter And High Level Trigger Reconstruction For The Belle Ii Experiment book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Combinatorial Kalman Filter And High Level Trigger Reconstruction For The Belle Ii Experiment
DOWNLOAD
Author : Nils Braun
language : en
Publisher: Springer
Release Date : 2019-08-06
Combinatorial Kalman Filter And High Level Trigger Reconstruction For The Belle Ii Experiment written by Nils Braun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-06 with Science categories.
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.
Pattern Recognition Tracking And Vertex Reconstruction In Particle Detectors
DOWNLOAD
Author : Rudolf Frühwirth
language : en
Publisher: Springer Nature
Release Date : 2021-02-26
Pattern Recognition Tracking And Vertex Reconstruction In Particle Detectors written by Rudolf Frühwirth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-26 with Science categories.
This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.