Cargando…
Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning
| Lenguaje: | eng |
|---|---|
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2853125 |
| _version_ | 1780977189011849216 |
|---|---|
| collection | CERN |
| id | cern-2853125 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2023 |
| record_format | invenio |
| spelling | cern-28531252023-03-21T20:44:06Zhttp://cds.cern.ch/record/2853125engProspecting for New Physics through Flavor, Dark Matter, and Machine LearningParticle Physics - Phenomenologyoai:cds.cern.ch:28531252023 |
| spellingShingle | Particle Physics - Phenomenology Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning |
| title | Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning |
| title_full | Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning |
| title_fullStr | Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning |
| title_full_unstemmed | Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning |
| title_short | Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning |
| title_sort | prospecting for new physics through flavor, dark matter, and machine learning |
| topic | Particle Physics - Phenomenology |
| url | http://cds.cern.ch/record/2853125 |