Overview
- Points to existing re-usable software
- Provides numerous examples from running and planned experiments
- Includes a comprehensive and up-to-date list of references for self-study
- Features state-of-the art algorithms for event reconstruction
Part of the book series: Particle Acceleration and Detection (PARTICLE)
Buy print copy
Tax calculation will be finalised at checkout
Table of contents (11 chapters)
-
Front Matter
-
Introduction
-
Front Matter
-
-
Track Reconstruction
-
Front Matter
-
-
Vertex Reconstruction
-
Front Matter
-
-
Case Studies
-
Front Matter
-
-
Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the authors
Professor Are Strandlie, currently full professor of physics at NTNU - Norwegian University of Science and Technology, received his Master of Science degree in Theoretical Physics in 1995 and his Doctor of Science degree in Experimental Particle Physics in 2000, both from the University of Oslo. He was a Research Fellow at CERN between 2001 and 2003, where he was working on track reconstruction software development for the CMS Tracker. He has held a position as Adjunct Professor at the Department of Physics, University of Oslo, giving lectures about statistics and data analysis techniques in experimental high-energy physics. He is now involved in the ATLAS experiment at CERN. Strandlie's research interests are concentrated around various aspects of the analysis of high-energy physics data, including the development and application of adaptive methods for track reconstruction.
Bibliographic Information
Book Title: Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors
Authors: Rudolf Frühwirth, Are Strandlie
Series Title: Particle Acceleration and Detection
DOI: https://doi.org/10.1007/978-3-030-65771-0
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2021
Hardcover ISBN: 978-3-030-65770-3Published: 27 February 2021
Softcover ISBN: 978-3-030-65773-4Published: 16 January 2022
eBook ISBN: 978-3-030-65771-0Published: 26 February 2021
Series ISSN: 1611-1052
Series E-ISSN: 2365-0877
Edition Number: 1
Number of Pages: XVII, 203
Number of Illustrations: 47 b/w illustrations, 39 illustrations in colour
Topics: Particle Acceleration and Detection, Beam Physics, Measurement Science and Instrumentation, Pattern Recognition, Numerical and Computational Physics, Simulation