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undergraduate thesis
Identifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u
2019. urn:nbn:hr:166:825240
Lovrić, Nikša
University of Split
Faculty of Science
Department of Physics

Cite this document

Lovrić, N. (2019). Identifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:825240

Lovrić, Nikša. "Identifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u." Undergraduate thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:825240

Lovrić, Nikša. "Identifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u." Undergraduate thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:825240

Lovrić, N. (2019). 'Identifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u', Undergraduate thesis, University of Split, Faculty of Science, accessed 15 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:825240

Lovrić N. Identifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2019 [cited 2024 April 15] Available at: https://urn.nsk.hr/urn:nbn:hr:166:825240

N. Lovrić, "Identifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u", Undergraduate thesis, University of Split, Faculty of Science, Split, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:166:825240

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Metadata
TitleIdentifikacija elektrona metodama strojnog učenja u CMS eksperimentu na CERN-u
Title (english)Multivariate algorithms for electron identification in the CMS experiment at CERN
AuthorNikša Lovrić
MentorMarko Kovač (mentor)
Committee memberMarko Kovač (predsjednik povjerenstva)
Committee memberIvana Weber (član povjerenstva)
Committee memberŽarko Kovač (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Physics)
Split
Defense date and country2019-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract
U ovom radu iskoristit će se znanja stečena u područjima fizike i programiranja. Prvo će se teoretski objasniti fizikalni proces koji će biti od interesa. Produkti tog procesa su neke elementarne čestice, nazvat ćemo njih signalnim česticama. Tada slijedi objašnjenje načina na koji detektori čestica uspijevaju rekonstruirati svojstva spomenutih čestica. Definirat ćemo problem pri pravilnoj identifikaciji signalnih čestica od brojnih pozadinskih događaja koje detektor pogrešno interpretira kao tražene čestice. Na kraju, implementirano rješenje će doći u vidu neuralne mreže koja će, barem je nada, dati dobre rezultate pri pokušaju razdvajanja signala od pozadine.
Abstract (english)
In this thesis, knowledge acquired both in the field of physics and programming will be incorporated. First, we will lay down the theory behind the physical process that is of interest. Products of that process are some elementary particles, we will call them signal particles. Then we are going to explain how a particle detector might go about recording said particles. Problem will arise with some background noise, or to elaborate, with particles that the detector might mistakenly identify as our signal. Finally, a solution will be implemented in the shape of a neural network that will, hopefully, do a decent job of correctly classifying particles as a signal or a background.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:825240
Study programmeTitle: Physics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-11-22 10:09:24