Search for Exotic Higgs Boson Decays to Merged Diphotons: A Novel CMS Analysis Using End-to-End Deep Learning
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer Nature Switzerland
2023
Cham Springer |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Springer Theses, Recognizing Outstanding Ph.D. Research
|
| Schlagworte: | |
| Online-Zugang: | TUM01 UBM01 UBT01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (XIII, 188 p. 87 illus., 77 illus. in color) |
| ISBN: | 9783031250910 |
| ISSN: | 2190-5061 |
| DOI: | 10.1007/978-3-031-25091-0 |
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Datensatz im Suchindex
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| author_facet | Andrews, Michael |
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| dewey-full | 539.72 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 539 - Modern physics |
| dewey-raw | 539.72 |
| dewey-search | 539.72 |
| dewey-sort | 3539.72 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| discipline_str_mv | Physik |
| doi_str_mv | 10.1007/978-3-031-25091-0 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
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| id | DE-604.BV048885703 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:47:14Z |
| indexdate | 2024-07-10T09:48:50Z |
| institution | BVB |
| isbn | 9783031250910 |
| issn | 2190-5061 |
| language | English |
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| physical | 1 Online-Ressource (XIII, 188 p. 87 illus., 77 illus. in color) |
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| publishDate | 2023 |
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| series2 | Springer Theses, Recognizing Outstanding Ph.D. Research |
| spelling | Andrews, Michael Verfasser aut Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning by Michael Andrews 1st ed. 2023 Cham Springer Nature Switzerland 2023 Cham Springer 1 Online-Ressource (XIII, 188 p. 87 illus., 77 illus. in color) txt rdacontent c rdamedia cr rdacarrier Springer Theses, Recognizing Outstanding Ph.D. Research 2190-5061 Particle Physics Artificial Intelligence Elementary Particles, Quantum Field Theory Particles (Nuclear physics) Artificial intelligence Elementary particles (Physics) Quantum field theory Erscheint auch als Druck-Ausgabe 978-3-031-25090-3 Erscheint auch als Druck-Ausgabe 978-3-031-25092-7 Erscheint auch als Druck-Ausgabe 978-3-031-25093-4 https://doi.org/10.1007/978-3-031-25091-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Andrews, Michael Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning Particle Physics Artificial Intelligence Elementary Particles, Quantum Field Theory Particles (Nuclear physics) Artificial intelligence Elementary particles (Physics) Quantum field theory |
| title | Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning |
| title_auth | Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning |
| title_exact_search | Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning |
| title_exact_search_txtP | Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning |
| title_full | Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning by Michael Andrews |
| title_fullStr | Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning by Michael Andrews |
| title_full_unstemmed | Search for Exotic Higgs Boson Decays to Merged Diphotons A Novel CMS Analysis Using End-to-End Deep Learning by Michael Andrews |
| title_short | Search for Exotic Higgs Boson Decays to Merged Diphotons |
| title_sort | search for exotic higgs boson decays to merged diphotons a novel cms analysis using end to end deep learning |
| title_sub | A Novel CMS Analysis Using End-to-End Deep Learning |
| topic | Particle Physics Artificial Intelligence Elementary Particles, Quantum Field Theory Particles (Nuclear physics) Artificial intelligence Elementary particles (Physics) Quantum field theory |
| topic_facet | Particle Physics Artificial Intelligence Elementary Particles, Quantum Field Theory Particles (Nuclear physics) Artificial intelligence Elementary particles (Physics) Quantum field theory |
| url | https://doi.org/10.1007/978-3-031-25091-0 |
| work_keys_str_mv | AT andrewsmichael searchforexotichiggsbosondecaystomergeddiphotonsanovelcmsanalysisusingendtoenddeeplearning |