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Domain Generalization with Machine Learning in the NOvA Experiment : Doctoral Thesis accepted by the University of Virginia, USA / Andrew T. C. Sutton
| Domain Generalization with Machine Learning in the NOvA Experiment : Doctoral Thesis accepted by the University of Virginia, USA / Andrew T. C. Sutton |
| Autore | Sutton, Andrew T. C. |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xi, 170 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
68-XX - Computer science [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] 81V35 - Nuclear physics [MSC 2020] |
| Soggetto non controllato |
3-flavor analysis
Adversarial domain generalization Event reconstruction Machine learning in HEP NOvA experiment Neutrino Oscillation Particle identification Physics beyond the Standard Model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00286052 |
Sutton, Andrew T. C.
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors
| Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors |
| Autore | ühwirth Rudolf |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (208 pages) |
| Altri autori (Persone) | StrandlieAre |
| Collana | Particle Acceleration and Detection |
| Soggetto topico |
Particle & high-energy physics
Mensuration & systems of measurement Pattern recognition Mathematical physics |
| Soggetto non controllato |
Particle Acceleration and Detection, Beam Physics
Measurement Science and Instrumentation Pattern Recognition Numerical and Computational Physics, Simulation Accelerator Physics Automated Pattern Recognition Theoretical, Mathematical and Computational Physics Event reconstruction Tracking detectors in High Energy Physics Vertex reconstruction Clustering algorithms Experimental High-Energy Physics LHC Calolimator for pattern recognition Vertex of particle collision Triggering event and data analysis Open access Particle & high-energy physics Scientific standards, measurement etc Mathematical physics |
| ISBN | 3-030-65771-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466747103316 |
|
ühwirth Rudolf
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors
| Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors |
| Autore | ühwirth Rudolf |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (208 pages) |
| Altri autori (Persone) | StrandlieAre |
| Collana | Particle Acceleration and Detection |
| Soggetto topico |
Particle & high-energy physics
Mensuration & systems of measurement Pattern recognition Mathematical physics |
| Soggetto non controllato |
Particle Acceleration and Detection, Beam Physics
Measurement Science and Instrumentation Pattern Recognition Numerical and Computational Physics, Simulation Accelerator Physics Automated Pattern Recognition Theoretical, Mathematical and Computational Physics Event reconstruction Tracking detectors in High Energy Physics Vertex reconstruction Clustering algorithms Experimental High-Energy Physics LHC Calolimator for pattern recognition Vertex of particle collision Triggering event and data analysis Open access Particle & high-energy physics Scientific standards, measurement etc Mathematical physics |
| ISBN | 3-030-65771-X |
| Classificazione | COM016000SCI040000SCI051000TEC022000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910473458503321 |
|
ühwirth Rudolf
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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