Cargando…
Improving ATLAS hadronic object performance with ML/AI
Hadronic object reconstruction is one of the most promising settings for cutting-edge machine learning and artificial intelligence algorithms at the LHC. In this contribution, selected highlights of ML/AI applications by ATLAS to particle and boosted-object identification, MET reconstruction and oth...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2847417 |
| _version_ | 1780976772793237504 |
|---|---|
| author | Camacho Toro, Reina Coromoto |
| author_facet | Camacho Toro, Reina Coromoto |
| author_sort | Camacho Toro, Reina Coromoto |
| collection | CERN |
| description | Hadronic object reconstruction is one of the most promising settings for cutting-edge machine learning and artificial intelligence algorithms at the LHC. In this contribution, selected highlights of ML/AI applications by ATLAS to particle and boosted-object identification, MET reconstruction and other tasks will be presented. |
| id | cern-2847417 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2023 |
| record_format | invenio |
| spelling | cern-28474172023-01-25T21:59:31Zhttp://cds.cern.ch/record/2847417engCamacho Toro, Reina CoromotoImproving ATLAS hadronic object performance with ML/AIParticle Physics - ExperimentHadronic object reconstruction is one of the most promising settings for cutting-edge machine learning and artificial intelligence algorithms at the LHC. In this contribution, selected highlights of ML/AI applications by ATLAS to particle and boosted-object identification, MET reconstruction and other tasks will be presented.ATL-PHYS-SLIDE-2022-690oai:cds.cern.ch:28474172023-01-25 |
| spellingShingle | Particle Physics - Experiment Camacho Toro, Reina Coromoto Improving ATLAS hadronic object performance with ML/AI |
| title | Improving ATLAS hadronic object performance with ML/AI |
| title_full | Improving ATLAS hadronic object performance with ML/AI |
| title_fullStr | Improving ATLAS hadronic object performance with ML/AI |
| title_full_unstemmed | Improving ATLAS hadronic object performance with ML/AI |
| title_short | Improving ATLAS hadronic object performance with ML/AI |
| title_sort | improving atlas hadronic object performance with ml/ai |
| topic | Particle Physics - Experiment |
| url | http://cds.cern.ch/record/2847417 |
| work_keys_str_mv | AT camachotororeinacoromoto improvingatlashadronicobjectperformancewithmlai |