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Pattern recognition, tracking and ve...

Fruhwirth, Rudolf.

Pattern recognition, tracking and vertex reconstruction in particle detectors

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pattern recognition, tracking and vertex reconstruction in particle detectorsby Rudolf Fruhwirth, Are Strandlie.
Author:	Fruhwirth, Rudolf.
other author:	Strandlie, Are.
Published:	Cham :Springer International Publishing :2021.
Description:	xvii, 203 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Nuclear track detectors.
Online resource:	https://doi.org/10.1007/978-3-030-65771-0
ISBN:	9783030657710$q(electronic bk.)

Pattern recognition, tracking and vertex reconstruction in particle detectors
Fruhwirth, Rudolf.

Pattern recognition, tracking and vertex reconstruction in particle detectors[electronic resource] /by Rudolf Fruhwirth, Are Strandlie. - Cham :Springer International Publishing :2021. - xvii, 203 p. :ill., digital ;24 cm. - Particle acceleration and detection,1611-1052. - Particle acceleration and detection..

Part 1. Introduction -- Chapter 1. Tracking Detectors -- Chapter 2. Event Reconstruction -- Chapter 3. Statistics and Numerical Methods -- Part 2. Track Reconstruction -- Chapter 4. Track Models -- Chapter 5. Track Finding -- Chapter 6. Track Fitting -- Part 3. Vertex Reconstruction -- Chapter 7. Vertex Finding -- Chapter 8. Vertex Fitting -- Chapter 9. Secondary Vertex Reconstruction -- Part 4. Case Studies -- Chapter 10. LHC Experiments.

Open access.

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.

ISBN: 9783030657710$q(electronic bk.)

Standard No.: 10.1007/978-3-030-65771-0doiSubjects--Topical Terms:

339851
Nuclear track detectors.

LC Class. No.: QC787.N83

Dewey Class. No.: 539.77

Pattern recognition, tracking and vertex reconstruction in particle detectors
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490 1 $a Particle acceleration and detection, $x 1611-1052
505 0 $a Part 1. Introduction -- Chapter 1. Tracking Detectors -- Chapter 2. Event Reconstruction -- Chapter 3. Statistics and Numerical Methods -- Part 2. Track Reconstruction -- Chapter 4. Track Models -- Chapter 5. Track Finding -- Chapter 6. Track Fitting -- Part 3. Vertex Reconstruction -- Chapter 7. Vertex Finding -- Chapter 8. Vertex Fitting -- Chapter 9. Secondary Vertex Reconstruction -- Part 4. Case Studies -- Chapter 10. LHC Experiments.
506 $a Open access.
520 $a 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.
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650 0 $a Vertex detectors. $3 833171
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650 2 4 $a Measurement Science and Instrumentation. $3 376366
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Numerical and Computational Physics, Simulation. $3 758154
700 1 $a Strandlie, Are. $3 895436
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