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Learning New Physics from a machine
<!--HTML-->We propose using neural networks to detect data departures from a given reference model, with no prior bias on the nature of the new physics responsible for the discrepancy. The model-independent nature of our approach, and its ability to deal with rare signals such as those expecte...
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2644193 |
| _version_ | 1780960352751583232 |
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| author | Wulzer, Andrea |
| author_facet | Wulzer, Andrea |
| author_sort | Wulzer, Andrea |
| collection | CERN |
| description | <!--HTML-->We propose using neural networks to detect data departures from a given reference model, with no prior bias on the nature of the new physics responsible for the discrepancy. The model-independent nature of our approach, and its ability to deal with rare signals such as those expected at the LHC, is quantitatively assessed in toy examples. |
| id | cern-2644193 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2018 |
| record_format | invenio |
| spelling | cern-26441932022-11-02T22:34:05Zhttp://cds.cern.ch/record/2644193engWulzer, AndreaLearning New Physics from a machineIML Machine Learning Working Group: unsupervised searches and unfolding with MLMachine Learning<!--HTML-->We propose using neural networks to detect data departures from a given reference model, with no prior bias on the nature of the new physics responsible for the discrepancy. The model-independent nature of our approach, and its ability to deal with rare signals such as those expected at the LHC, is quantitatively assessed in toy examples.oai:cds.cern.ch:26441932018 |
| spellingShingle | Machine Learning Wulzer, Andrea Learning New Physics from a machine |
| title | Learning New Physics from a machine |
| title_full | Learning New Physics from a machine |
| title_fullStr | Learning New Physics from a machine |
| title_full_unstemmed | Learning New Physics from a machine |
| title_short | Learning New Physics from a machine |
| title_sort | learning new physics from a machine |
| topic | Machine Learning |
| url | http://cds.cern.ch/record/2644193 |
| work_keys_str_mv | AT wulzerandrea learningnewphysicsfromamachine AT wulzerandrea imlmachinelearningworkinggroupunsupervisedsearchesandunfoldingwithml |