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

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Event reconstruction and data analysis techniques for the SHiP experiment
Autori:
Autore
Email
Iuliano, Antonio
antonio.iuliano@unina.it
Data: 6 Aprile 2021
Numero di pagine: 158
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Fisica
Dottorato: Fisica
Ciclo di dottorato: 33
Coordinatore del Corso di dottorato:
nome
email
Capozziello, Salvatore
salvatore.capozziello@unina.it
Tutor:
nome
email
De Lellis, Giovanni
[non definito]
Di Crescenzo, Antonia
[non definito]
Data: 6 Aprile 2021
Numero di pagine: 158
Parole chiave: SHiP;emulsions
Settori scientifico-disciplinari del MIUR: Area 02 - Scienze fisiche > FIS/01 - Fisica sperimentale
Depositato il: 16 Apr 2021 05:28
Ultima modifica: 07 Giu 2023 11:03
URI: http://www.fedoa.unina.it/id/eprint/13918

Abstract

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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