Exploring Proton and Muon Energy Distributions from Simulated Neutrino Interactions in LArTPC

Session Number

Project ID: PHYS 01

Advisor(s)

Dr. Zelimir Djurcic, Argonne National Laboratory

Discipline

Physical Science

Start Date

17-4-2024 8:15 AM

End Date

17-4-2024 8:30 AM

Abstract

The main objective of this project is to study neutrino interaction in the Liquid Argon Time Projection Chamber (LArTPC), mainly those between muon neutrinos or antineutrinos and argon targets, producing final state particles in the detector. Event simulation software based on GENIE and GIANT4 are used to simulate the neutrino interactions that would take place in the ArgonCube 2x2 Demonstrator, the novel type of LArTPC for DUNE experiment. These interactions will then be identified using reconstruction-based machine- learning techniques. From these data sets, we observe the final state particles and characterize their energy using Python application code. We focused on a special case of muon and proton final states. By looking at dQ/dx and dE/dx distributions, we were able to observe important features of energy deposits by protons and muons. Summing up the individual energy deposits along the particle tracks gave us their total energy. Using these calculations, we were also able to determine the total energy of the incoming neutrino that is ultimately the required input to neutrino oscillation measurements with the goal of determining CP violation. These observations will aid the preparations for the future Deep Underground Neutrino Experiment (DUNE) set to start in the next decade.

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Apr 17th, 8:15 AM Apr 17th, 8:30 AM

Exploring Proton and Muon Energy Distributions from Simulated Neutrino Interactions in LArTPC

The main objective of this project is to study neutrino interaction in the Liquid Argon Time Projection Chamber (LArTPC), mainly those between muon neutrinos or antineutrinos and argon targets, producing final state particles in the detector. Event simulation software based on GENIE and GIANT4 are used to simulate the neutrino interactions that would take place in the ArgonCube 2x2 Demonstrator, the novel type of LArTPC for DUNE experiment. These interactions will then be identified using reconstruction-based machine- learning techniques. From these data sets, we observe the final state particles and characterize their energy using Python application code. We focused on a special case of muon and proton final states. By looking at dQ/dx and dE/dx distributions, we were able to observe important features of energy deposits by protons and muons. Summing up the individual energy deposits along the particle tracks gave us their total energy. Using these calculations, we were also able to determine the total energy of the incoming neutrino that is ultimately the required input to neutrino oscillation measurements with the goal of determining CP violation. These observations will aid the preparations for the future Deep Underground Neutrino Experiment (DUNE) set to start in the next decade.