[Triumf-seminars] TRIUMF Particle Phys/SciTec Seminar today at 13:30

[TRIUMF Seminars]

Date/Time: Fri 2023-12-15 at 13:30

Location:  MOB Conference Rm   

Speaker:   Ann-Kathrin Schuetz (Lawrence Berkeley Natl. Lab)

Title:     Machine learning based design optimization for the search of neutrinoless double-beta decay with LEGEND

Abstract: *** in conjunction with the seminar by Lisa Schlueter ***

The in-situ production of long-lived radio-isotopes by cosmic muon interactions may generate a non-negligible background for rare event searches deep underground. The delayed decay of Ge-77(m) has been identified as the dominant in-situ cosmogenic contributor for a neutrinoless double-beta decay search with Ge-76. The future ton-scale LEGEND-1000 experiment requires a total background of < 10^-5 cts/(keV kg yr). Neutron backgrounds have a strong dependence on laboratory depth, shielding material, and cryostat design. The addition of passive neutron moderators results in a reduced background contribution. However, in order to determine the most effective shield design, computationally intensive Geant4 Monte Carlo simulations need to be generated multiple times to probe the high-dimensional parameter spaces. This renders conventional methods, such as grid searches, computationally infeasible. In this talk, I introduce a Multi-Fidelity Surrogate Model based on Gaussian Process aimed at addressing this challenge and finding the optimal shield design. The study presented in this talk aims to demonstrate a technique on a small-scale application, which then is gradually adaptable to the more ambitious task of exploring innovative solutions to the design of detectors for future Ge-76 experiments.
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Meeting URL:
https://ubc.zoom.us/j/64196797016?pwd=U0tRSS9jUERXYTZXcmxwRDJjNGhvZz09&from=addon
Meeting ID:
641 9679 7016
Passcode:
884815



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