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Speaker: Brinden Carlson (University of Florida) – Title: Machine Learning Reconstruction Enhancing SBND’s Neutrino Physics Program
December 4 @ 4:00 pm - 5:00 pm
Research Progress Meeting
Date: December 4, 2025
Time: 4:00- 5:00 pm
Location: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]
Speaker: Brinden Carlson (University of Florida)
Title: Machine Learning Reconstruction Enhancing SBND’s Neutrino Physics Program
Abstract: The Short-Baseline Near Detector (SBND) is a 100-ton Liquid Argon Time Projection Chamber (LArTPC) neutrino detector in the Booster Neutrino Beam at Fermilab, part of the Short-Baseline Neutrino program. I will present my work developing and deploying SPINE, an end-to-end machine learning reconstruction algorithm for neutrino events in LArTPCs. SPINE provides high-quality particle identification and interaction clustering, enabling precision neutrino-argon cross-section measurements and high-quality neutrino selections for oscillation analyses. I will demonstrate SPINE’s impact through a muon neutrino charged current inclusive selection, comparing traditional reconstruction methods to the SPINE-based approach, and discuss how this reconstruction capability supports the SBN program’s physics goals for both cross-section measurements and oscillation analyses.
https://lbnl.zoom.us/j/98854322464?pwd=K2tKUm1VZjRlV1J5RHE3cXdHQzRxdz09
Meeting ID: 988 5432 2464
Passcode: 142239