Dec 8 – 10, 2019
Monona Terrace Convention Center
America/Chicago timezone

Develop Radiation Hard Beam Monitor and Muon Spectroscopy by using Machine Learning for Intense Neutrino Target System

Dec 8, 2019, 3:30 PM
17m
Hall of Ideas E (Monona Terrace Convention Center)

Hall of Ideas E

Monona Terrace Convention Center

Madison, Wisconsin
Talk Diverse Detectors Diverse Detectors

Speaker

Katsuya Yonehara (Fermilab)

Description

Fermilab hosts the world's most powerful neutrino beam facility, Neutrinos at the Main Injector (NuMI) and the future Long Baseline Neutrino Facility (LBNF) at Fermilab, which will be even more powerful. The sensitivities of the long-baseline neutrino oscillation experiments that use these beams require precise alignment and monitoring of the beam in a high radiation environment over long periods. We propose new stable, radiation-hard beam monitors to measure the profile of hadrons downstream of the neutrino production target and muons after the hadron absorber. We present the status of the R&D for improvements to the current ionization chambers used in the NuMI beamline, and R&D for a future radio-frequency-based detector which measures a gas permittivity shift due to ionization in a gas-filled resonator. We also present the status of the development of a new machine-learning-based algorithm to constrain the systematic uncertainty of the neutrino flux due to the beam instability using the data from these detectors.

Primary author

Katsuya Yonehara (Fermilab)

Co-authors

Adam Watts (Fermilab) Amit Bashyal (University of Oregon) Don Wickremasinghe (Fermilab) Dr Jonathan Paley (Indiana University) Karol Lang (University of Texas Austin) Pavel Snopok (Illinois Institute of Tech) Pierce Weatherly (Drexel University) Dr Robert Zwaska (FNAL) Tyler Rehak (Drexel University) Yiding Yu (Illinois Institute of Tech) Yun He (Fermilab) Zarko Pavlovic (Fermilab)

Presentation materials