Spectral analysis of jet substructure with neural networks: boosted Higgs case
Abstract Jets from boosted heavy particles have a typical angular scale which can be used to distinguish them from QCD jets. We introduce a machine learning strategy for jet substructure analysis using a spectral function on the angular scale. The angular spectrum allows us to scan energy deposits o...
Gardado en:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2018-10-01
|
| Series: | Journal of High Energy Physics |
| Assuntos: | |
| Acceso en liña: | http://link.springer.com/article/10.1007/JHEP10(2018)181 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|