Discovery in Physics

• Format: eBook
• Language: English
• Published: Berlin/Boston De Gruyter 2022
• Series: De Gruyter STEM
• Subjects: Algorithms and data structures; Artificial intelligence; Chemistry; Computer networking and communications; Databases; Artificial Intelligence; Big Data and Machine Learning; Embedded Systems and Machine Learning; Highly Distributed Data; Machine learning for knowledge discovery; Machine learning in high-energy physics; ML on Small devices Data mining for Ubiquitous System; Resource-Aware Machine Learning; Resource-Constrained Data Analysis; Software Cyber-physical systems; thema EDItEUR::P Mathematics and Science::PN Chemistry; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures; thema EDItEUR::U Computing and Information Technology::UN Databases; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (349 p.)
• ISBN: 9783110785951; 9783110785968; 9783110786132
• Access: Open Access

Volume 2 covers knowledge discovery in particle and astroparticle physics. Instruments gather petabytes of data and machine learning is used to process the vast amounts of data and to detect relevant examples efficiently. The physical knowledge is encoded in simulations used to train the machine learning models. The interpretation of the learned models serves to expand the physical knowledge resulting in a cycle of theory enhancement.