Iuliano, Antonio (2021) Event reconstruction and data analysis techniques for the SHiP experiment. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Event reconstruction and data analysis techniques for the SHiP experiment
Creators:
CreatorsEmail
Iuliano, Antonioantonio.iuliano@unina.it
Date: 6 April 2021
Number of Pages: 158
Institution: Università degli Studi di Napoli Federico II
Department: Fisica
Dottorato: Fisica
Ciclo di dottorato: 33
Coordinatore del Corso di dottorato:
nomeemail
Capozziello, Salvatoresalvatore.capozziello@unina.it
Tutor:
nomeemail
De Lellis, GiovanniUNSPECIFIED
Di Crescenzo, AntoniaUNSPECIFIED
Date: 6 April 2021
Number of Pages: 158
Keywords: SHiP;emulsions
Settori scientifico-disciplinari del MIUR: Area 02 - Scienze fisiche > FIS/01 - Fisica sperimentale
Date Deposited: 16 Apr 2021 05:28
Last Modified: 07 Jun 2023 11:03
URI: http://www.fedoa.unina.it/id/eprint/13918

Collection description

SHiP (Search for Hidden Particles) is a proposed beam dump experiment, aiming at searching for new long-lived particles by using the 400 GeV/c proton beam available from the CERN SPS accelerator. In addition, the physics program includes high statistics studies of neutrino physics and the search for light dark matter scattering. The latter tasks are assigned to a Scattering Neutrino Detector, where nuclear emulsions are used as high resolutions trackers. My Ph.D. project is dedicated to the evaluation of the physics performance of this detector, through a full simulation of neutrino interactions. In order to develop and test reconstruction algorithms, I have analysed the data from a proton beam performed at the SPS in 2018 and an electron beam with electrons, performed at DESY in 2019. The acquired experience will be essential for the analysis of SHiP and other large future projects at CERN involving emulsions.

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