prikaz prve stranice dokumenta Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS
  Download
PDF 3.12 MB
master's thesis
Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS
2017. urn:nbn:hr:166:221647
Giljanović, Duje
University of Split
Faculty of Science
Department of Physics

Cite this document

Giljanović, D. (2017). Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:221647

Giljanović, Duje. "Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS." Master's thesis, University of Split, Faculty of Science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:221647

Giljanović, Duje. "Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS." Master's thesis, University of Split, Faculty of Science, 2017. https://urn.nsk.hr/urn:nbn:hr:166:221647

Giljanović, D. (2017). 'Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS', Master's thesis, University of Split, Faculty of Science, accessed 19 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:221647

Giljanović D. Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS [Master's thesis]. Split: University of Split, Faculty of Science; 2017 [cited 2024 November 19] Available at: https://urn.nsk.hr/urn:nbn:hr:166:221647

D. Giljanović, "Identifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS", Master's thesis, University of Split, Faculty of Science, Split, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:166:221647

Please login to the repository to save this object to your list.
Metadata
TitleIdentifikacija elektrona za okidač kalorimetra visoke granularnosti detektora CMS
Title (english)Electron identification for the high granularity calorimeter of the CMS detector
AuthorDuje Giljanović
MentorIvica Puljak (mentor)
Committee memberIvica Puljak (predsjednik povjerenstva)
Committee memberMarko Kovač (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Physics)
Split
Defense date and country2017-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract
Do 2025. godine u planu je nadograditi LHC sudarač i detektore na njemu tako da se integrirani luminozitet poveća s očekivanih 300 fb-1 do kraja 2023. godine na 3000 fb-1. Kako bi se uspješno suočili s povećanim brojem podataka, na Compact Muon Solenoid (eng. CMS) detektoru bit će ugrađen kalorimetar visoke granularnosti, HGCAL. Prije same instalacije novog kalorimetra potrebno je napraviti simulacije koje će pomoći u identifikaciji elektrona na detektoru. U prvom dijelu rada korišten je FastShower alat za dobivanje jednostavnog uvida u očekivano ponašanje elektromagnetskog pljuska u budućem detektoru. U drugom dijelu rada analizirani su učinci algoritma za grupiranje ćelija (klastering), koji bi trebao omogućiti efikasniju identifikaciju čestica te odvajanje signala od pozadine, kako na razini okidača, tako i u naknadnoj fazi. Da bi se izvela što bolje izvedba identifikacije elektrona i odvajanja signala od pozadine, uključen je uvjet da svaki dvodimenzionalni klaster sadrži barem dvije ćelije.
Abstract (english)
The plan by 2025. is to upgrade LHC collider and corresponding detectors in order to increase integrated luminosity from 300 fb-1 expected by the end of 2023. to 3000 fb-1. In order to successfully cope with the increased amount of data, High Granularity Calorimeter, HGCAL, will be installed on Compact Muon Solenoid (CMS) detector. Before new calorimeter is installed, simulations which will help in electron identification on the future detector are needed. In the first part of the thesis, FastShower tool is used for getting the first insight into the expected behaviour of the electromagnetic shower in the future detector. In the second part of the thesis effects of clustering are studied which should give rise to a more efficient identification of particles as well as signal and background separation on trigger level as well as offline analysis. In order to achieve more efficient electron identification and separation of signal and background, a condition that every two-dimensional cluster must contain at least two trigger cells is studied.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:221647
Study programmeTitle: Physics; specializations in: major in teaching, major in Astrophysics, major in Biophysics, major in Enviromental physics, major in Computational physics
Course: major in Computational physics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra fizike (magistar/magistra fizike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2018-06-01 13:24:37