Pattern Recognition Tracking and Vertex Reconstruction in Particle Detectors

This book PDF is perfect for those who love Electronic books genre, written by Rudolf Frühwirth and published by Springer Nature which was released on 29 March 2024 with total hardcover pages 208. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Pattern Recognition Tracking and Vertex Reconstruction in Particle Detectors books below.

Pattern Recognition  Tracking and Vertex Reconstruction in Particle Detectors
Author : Rudolf Frühwirth
File Size : 46,7 Mb
Publisher : Springer Nature
Language : English
Release Date : 29 March 2024
ISBN : 9783030657710
Pages : 208 pages
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Pattern Recognition Tracking and Vertex Reconstruction in Particle Detectors by Rudolf Frühwirth Book PDF Summary

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.

Pattern Recognition  Tracking and Vertex Reconstruction in Particle Detectors

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

Get Book
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