Banca de DEFESA: HECTOR MOYA FREIRE

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : HECTOR MOYA FREIRE
DATE: 15/08/2025
TIME: 14:00
LOCAL: Remoto
TITLE:

Selection Algorithm for electron neutrino charged current interactions in SBND

PAGES: 107
BIG AREA: Ciências Exatas e da Terra
AREA: Física
SUBÁREA: Física das Partículas Elementares e Campos
SUMMARY:

 

The Short Baseline Neutrino (SBN) program at Fermilab is a joint proposal by three experimental collaborations primarily for the investigation of the cause behind the low-energy electron-like event excess observed by the MiniBoone experiment. This dissertation focuses on the near detector of the project, named the Short Baseline Near Detector (SBND), a Liquid Argon Time Projection Chamber apparatus which will conduct searches for sterile neutrinos in the mass range of 1 eV^2/c^4, as well as provide cross-section measurements for neutrino interactions in argon and perform other beyond the standard model studies.
As is the case for all detectors in the program, the SBND will use the Booster Neutrino Beam as its source, which will provide it with both muon and electron neutrinos. Given that the ability to discern between the neutrino flavors will be crucial to the fulfillment of the detector's physics goals, the objective of this work is to provide the collaboration with a tool capable of doing so. As such, we here present the development process for an inclusive selection algorithm for the identification of electron neutrino charged current (CC) events regardless of their interaction channel. This is done through a combination of traditional techniques, such as the implementation of cuts on the reconstructed interaction properties, with the use of the Convolutional Visual Network, a machine learning algorithm capable of classifying particle interactions through the analysis of the topology of their final states. With this approach, we have developed a selection process that is capable of identifying nu_e CC interactions across a wide range of topologies with 34.4% efficiency, as well as a purity of 91.02%, making it especially promising for use in cross section studies.

COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 1780373 - LAURA PAULUCCI MARINHO
Membro Titular - Examinador(a) Interno ao Programa - 2193285 - MAURO ROGERIO COSENTINO
Membro Titular - Examinador(a) Externo à Instituição - PEDRO CUNHA DE HOLANDA - UNICAMP
Membro Suplente - Examinador(a) Interno ao Programa - 1676343 - PEDRO GALLI MERCADANTE
Membro Suplente - Examinador(a) Externo à Instituição - MARCO ANDRÉ FERREIRA DIAS - UNIFESP