Pattern Recognition, Tracking and Vertex Reconstruction in Particle DetectorsКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors Автор: Rudolf Fruhwirth, Are Strandlie Издательство: Springer Год: 2021 Страниц: 208 Размер: 10.47 МБ Формат: PDF Язык: English
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.
Visual Object Tracking with Deep Neural Networks Название: Visual Object Tracking with Deep Neural Networks Автор: Pier Luigi Mazzeo, Srinivasan Ramakrishnan, Paolo Spagnolo Издательство: ITExLi ...
Pattern Recognition And Big Data Название: Pattern Recognition And Big Data Автор: Amita Pal and Sankar K Pal Издательство: World Scientific Publishing Год: 2017 Формат: PDF Размер:...
Информация
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.
Навигация
Вход на сайт
Реклама
Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors 
