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The book explores the innovative application of deep learning algorithms for end-to-end physics reconstruction using raw detector data at CMS. It addresses the growing demand for advanced particle reconstruction methods in exotic physics searches at the Large Hadron Collider. A significant breakthrough is achieved in reconstructing highly merged photon pairs, enabling the first direct search for exotic Higgs boson decays into hypothetical light scalar particles. The conclusion offers insights into future possibilities for new exotic searches made feasible by this reconstruction approach.
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Search for Exotic Higgs Boson Decays to Merged Diphotons, Michael Andrews
- Lingua
- Pubblicato
- 2023
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- Sottotitolo
- A Novel CMS Analysis Using End-to-End Deep Learning
- Lingua
- Inglese
- Autori
- Michael Andrews
- Editore
- Springer Nature Switzerland
- Pubblicato
- 2023
- Formato
- Copertina rigida
- Pagine
- 204
- ISBN13
- 9783031250903
- Serie
- Tag
- Natura
- Descrizione
- The book explores the innovative application of deep learning algorithms for end-to-end physics reconstruction using raw detector data at CMS. It addresses the growing demand for advanced particle reconstruction methods in exotic physics searches at the Large Hadron Collider. A significant breakthrough is achieved in reconstructing highly merged photon pairs, enabling the first direct search for exotic Higgs boson decays into hypothetical light scalar particles. The conclusion offers insights into future possibilities for new exotic searches made feasible by this reconstruction approach.