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8–9 Jul 2024
Fermi National Accelerator Laboratory
America/Chicago timezone

SBND Analysis using ML Reconstruction Chain

8 Jul 2024, 16:30
15m
One West (Fermi National Accelerator Laboratory)

One West

Fermi National Accelerator Laboratory

Kirk Road at Pine Street Batavia, IL 60510

Speaker

Castaly Fan (University of Florida)

Description

As part of the Short Baseline Neutrino (SBN) Program at Fermilab, the Short Baseline Near Detector (SBND) is positioned in the Booster Neutrino Beam (BNB) and explores neutrino-argon interactions with unprecedented statistics. SBND is a Liquid Argon Time Projection Chamber (LArTPC). Electrons produced through ionization drift toward three wire planes, providing signals that form 2D images of particle trajectories. I introduce the Scalable Particle Imaging using Neural Embeddings (SPINE) framework, which employs a Machine Learning (ML)-based 3D reconstruction using a series of neural networks. Here, we present SPINE’s reconstruction chain, analysis approaches, and results from our latest simulation samples.

Primary author

Castaly Fan (University of Florida)

Presentation materials