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From Ultra Rays to Astroparticles [[electronic resource] ] : A Historical Introduction to Astroparticle Physics / / edited by Brigitte Falkenburg, Wolfgang Rhode
| From Ultra Rays to Astroparticles [[electronic resource] ] : A Historical Introduction to Astroparticle Physics / / edited by Brigitte Falkenburg, Wolfgang Rhode |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (344 p.) |
| Disciplina |
523.0197
523.01972 |
| Soggetto topico |
Astrophysics
Physics Astronomy Astrophysics and Astroparticles History and Philosophical Foundations of Physics Astronomy, Astrophysics and Cosmology |
| ISBN |
1-283-94559-2
94-007-5422-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction.- -- 2 From the discovery of radioactivity to first accelerator experiments.- 3 Development of Cosmology:From a Static Universe to Accelerated Expansion.- 4 Evolution of Astrophysics5.1 Introduction and General Overview -- 5 Development of Ultra High-Energy Cosmic Ray Research -- 6 Very-High Energy Gamma-Ray Astronomy.- 7 Search for the neutrino mass and low energy neutrino astronomy.- 8 From Particle Physics to Astroparticle Physics: Proton Decay and the Rise of Non-Accelerator Physics -- 10 From Waves to Particle Tracks and Quantum Probabilities.- A Timetable -- B Nobel prizes -- C Textbooks -- C.1 Textbooks 1987–2012 -- C.2 Textbooks 1962–1986 -- C.3 Textbooks 1937–1961 -- C.4 Textbooks 1912–1936 -- D Books in History of Physics. |
| Record Nr. | UNINA-9910786166103321 |
| Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From ultra rays to astroparticles : a historical introduction to astroparticle physics / / Brigitte Falkenburg, Wolfgang Rhode, editors
| From ultra rays to astroparticles : a historical introduction to astroparticle physics / / Brigitte Falkenburg, Wolfgang Rhode, editors |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Dordrecht, : Springer, 2012 |
| Descrizione fisica | 1 online resource (344 p.) |
| Disciplina |
523.0197
523.01972 |
| Altri autori (Persone) |
FalkenburgBrigitte
RhodeWolfgang |
| Soggetto topico |
Nuclear astrophysics
Particles (Nuclear physics) |
| ISBN |
1-283-94559-2
94-007-5422-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction.- -- 2 From the discovery of radioactivity to first accelerator experiments.- 3 Development of Cosmology:From a Static Universe to Accelerated Expansion.- 4 Evolution of Astrophysics5.1 Introduction and General Overview -- 5 Development of Ultra High-Energy Cosmic Ray Research -- 6 Very-High Energy Gamma-Ray Astronomy.- 7 Search for the neutrino mass and low energy neutrino astronomy.- 8 From Particle Physics to Astroparticle Physics: Proton Decay and the Rise of Non-Accelerator Physics -- 10 From Waves to Particle Tracks and Quantum Probabilities.- A Timetable -- B Nobel prizes -- C Textbooks -- C.1 Textbooks 1987–2012 -- C.2 Textbooks 1962–1986 -- C.3 Textbooks 1937–1961 -- C.4 Textbooks 1912–1936 -- D Books in History of Physics. |
| Record Nr. | UNINA-9910812006403321 |
| Dordrecht, : Springer, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning under Resource Constraints. Discovery in Physics / / ed. by Katharina Morik, Wolfgang Rhode
| Machine Learning under Resource Constraints. Discovery in Physics / / ed. by Katharina Morik, Wolfgang Rhode |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2022] |
| Descrizione fisica | 1 online resource (XIV, 349 p.) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico | SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078596-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- 1 Introduction -- 2 Challenges in Particle and Astroparticle Physics -- 3 Key Concepts in Machine Learning and Data Analysis -- 4 Data Acquisition and Data Structure -- 5 Monte Carlo Simulations -- 6 Data Storage and Access -- 7 Monitoring and Feature Extraction -- 8 Event Property Estimation and Signal Background Separation -- 9 Deep Learning Applications -- 10 Inverse Problems -- Bibliography -- Index -- List of Contributors |
| Record Nr. | UNISA-996503570203316 |
| Berlin ; ; Boston : , : De Gruyter, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning under Resource Constraints : Discovery in Physics / / Edited by Katharina Morik, Wolfgang Rhode
| Machine Learning under Resource Constraints : Discovery in Physics / / Edited by Katharina Morik, Wolfgang Rhode |
| Pubbl/distr/stampa | Berlin : , : De Gruyter, , 2022 |
| Descrizione fisica | 1 online resource (ix, 347 pages) |
| Disciplina | 006.3 |
| Collana | De Gruyter STEM |
| Soggetto topico | Artificial intelligence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910645945103321 |
| Berlin : , : De Gruyter, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning under Resource Constraints. Discovery in Physics / / ed. by Katharina Morik, Wolfgang Rhode
| Machine Learning under Resource Constraints. Discovery in Physics / / ed. by Katharina Morik, Wolfgang Rhode |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2022] |
| Descrizione fisica | 1 online resource (XIV, 349 p.) |
| Disciplina | 006.31 |
| Collana | De Gruyter STEM |
| Soggetto topico | SCIENCE / Chemistry / General |
| Soggetto non controllato |
Artificial Intelligence
Big Data and Machine Learning Cyber-physical systems Data mining for Ubiquitous System Software Embedded Systems and Machine Learning Highly Distributed Data ML on Small devices Machine learning for knowledge discovery Machine learning in high-energy physics Resource-Aware Machine Learning Resource-Constrained Data Analysis |
| ISBN | 3-11-078596-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- 1 Introduction -- 2 Challenges in Particle and Astroparticle Physics -- 3 Key Concepts in Machine Learning and Data Analysis -- 4 Data Acquisition and Data Structure -- 5 Monte Carlo Simulations -- 6 Data Storage and Access -- 7 Monitoring and Feature Extraction -- 8 Event Property Estimation and Signal Background Separation -- 9 Deep Learning Applications -- 10 Inverse Problems -- Bibliography -- Index -- List of Contributors |
| Record Nr. | UNINA-9910774815003321 |
| Berlin ; ; Boston : , : De Gruyter, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||