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Více o knize
The book explores the innovative use of deep learning algorithms for end-to-end physics reconstruction at the CMS experiment, addressing the challenges of extracting information from raw detector data. It emphasizes the importance of advanced particle reconstruction techniques in searching for exotic physics, particularly in the context of Higgs boson decays to light scalar particles. The successful reconstruction of highly merged photon pairs, previously deemed impossible, paves the way for new avenues in exotic particle searches, offering a glimpse into future research possibilities.
Nákup knihy
Search for Exotic Higgs Boson Decays to Merged Diphotons, Michael Andrews
- Jazyk
- Rok vydání
- 2024
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Doručení
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- Podtitul
- A Novel CMS Analysis Using End-to-End Deep Learning
- Jazyk
- anglicky
- Autoři
- Michael Andrews
- Vydavatel
- Springer Nature Switzerland
- Rok vydání
- 2024
- Vazba
- měkká
- Počet stran
- 204
- ISBN13
- 9783031250934
- Série
- Štítky
- Příroda
- Anotace
- The book explores the innovative use of deep learning algorithms for end-to-end physics reconstruction at the CMS experiment, addressing the challenges of extracting information from raw detector data. It emphasizes the importance of advanced particle reconstruction techniques in searching for exotic physics, particularly in the context of Higgs boson decays to light scalar particles. The successful reconstruction of highly merged photon pairs, previously deemed impossible, paves the way for new avenues in exotic particle searches, offering a glimpse into future research possibilities.