10–24 Jul 2020
America/Chicago timezone

NEXT Ton-Scale Sensitivity using Sparse Convolutional Neural Networks

21 Jul 2020, 11:05
25m
Individual talk Day 3 Morning

Speaker

Katherine Woodruff (University of Texas at Arlington)

Description

The NEXT Collaboration is currently designing and performing R&D for a ton-scale detector capable of observing neutrinoless double beta decay. NEXT utilizes a high pressure gaseous xenon TPC with an electroluminescent region to amplify the signal from the drift electrons, and has successfully built and collected data with several smaller scale prototypes. The current expected sensitivity of the ton-scale detector is based on traditional analysis cuts that have been developed and tested on data from the currently running 10~kg detector. We will present recent studies which seek to improve the neutrinoless double beta decay signal selection efficiency and background rejection of simulated data in a ton-scale detector based on a sparse convolutional neural network classifier.

Primary author

Katherine Woodruff (University of Texas at Arlington)

Presentation materials