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Development of an intelligent trigger system based on deep neural networks
Rigon, Luca
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
(Astroparticle Physics Group)
2021 (English)
Independent thesis Basic level (degree of Bachelor), 10 HE credits
Student thesis
Place, publisher, year, edition, pages
2021. , p. 24
Series
FYSAST ; FYSPROJ1221
National Category
Other Physics Topics
Identifiers
URN:
urn:nbn:se:uu:diva-446864
OAI: oai:DiVA.org:uu-446864
DiVA, id:
diva2:1571231
Educational program
Bachelor Programme in Physics
Presentation
2021-06-02, Online (Zoom), 14:52 (English)
Supervisors
Glaser, Christian, Bitr universitetslektor
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Examiners
Korn, Andreas, Universitetslektor
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Observational Astronomy.
Available from:
2021-06-24
Created:
2021-06-22
Last updated:
2021-06-24
Bibliographically approved
Open Access in DiVA
fulltext
(1930 kB)
206 downloads
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FULLTEXT01.pdf
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1930 kB
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SHA-512
e9dfe707565a8a08770abb115be8bdfb154c96ded0d630e82b0e64395c616811cfe1d7f23214fbfc67fc6c42b9a396fc3938142e9e83799eebcb15f8e3a6e387
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fulltext
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application/pdf
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High Energy Physics
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Other Physics Topics
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Total: 206 downloads
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446864
Direct link
https://uu.diva-portal.org/smash/record.jsf?pid=diva2:1571231
Cite
Citation style
apa
ieee
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vancouver
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apa
ieee
modern-language-association
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Language
de-DE
en-GB
en-US
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nn-NO
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