19–24 May 2024
Music City Center
US/Central timezone

NuMI beam muon monitor data analysis and simulation for improved beam monitoring

MOPS70
20 May 2024, 16:00
2h
Blues (MCC Exhibit Hall A)

Blues

MCC Exhibit Hall A

Poster Presentation MC5.D13 Machine Learning Monday Poster Session

Speaker

Pavel Snopok (Illinois Institute of Technology)

Description

Following the decommissioning of the Main Injector Neutrino Oscillation Search (MINOS) experiment, muon and hadron monitors have emerged as essential diagnostic tools for the NuMI Off-axis nu_mu Appearance (NOvA) experiment at Fermilab. For this study, we use a combination of muon monitor simulation and measurement data to study the monitor responses to variations in proton beam and lattice parameters. We also apply pattern-recognition algorithms to develop machine-learning-based models to establish correlations between muon monitor signals, primary beam parameters, and neutrino flux at the detectors.

Funding Agency

U.S. Department of Energy

Region represented North America
Paper preparation format LaTeX

Primary author

Pavel Snopok (Illinois Institute of Technology)

Co-author

Yiding Yu (Illinois Institute of Technology)

Presentation materials

There are no materials yet.