Events in our system are self-managed.  Group and event managers are encouraged to review privacy and security settings, and adjust them if needed.  If you need assistance please contact Indico Support - contact Help at bottom of page. https://learn.getindico.io/categories/managing/

15–18 Feb 2024
Mt. Bromont
Canada/Eastern timezone

Machine Learning for Signal Processing in the NEWS-G Experiment

16 Feb 2024, 19:45
15m
Salon AB (Hotel Chateau Bromont)

Salon AB

Hotel Chateau Bromont

Contributed Oral Evening 2 - Feb. 16, 2024

Speaker

Ms Annabelle Makowski (Queen's University)

Description

The NEWS-G experiment at SNOLAB uses spherical proportional counters, or SPCs, to detect weakly interacting massive particles (WIMPs), which are a prime candidate for dark matter. Interactions within the gas-filled sphere create a primary ionization. The signal from the resulting electrons is passed through a digitizer and this generates raw pulses that are observed as time-series data. However, these signals have noise from electronics and other particles entering the detector. I will discuss the use of machine learning techniques for removing noise from different pulse shape types, as well as rejecting bad pulses in the data. There is a large amount of simulated data available which is used to train and test neural networks. Models are trained on this data, and subsequently can be applied to real data once fully trained. These models can potentially denoise and clean data more efficiently and with less error than traditional pulse processing, making them an important tool for the NEWS-G experiment.

Your current academic level, MSc student
Your Email a.makowski@queensu.ca
Affiliation Queen's University
Supervisor Ryan Martin
Supervisor Email ryan.martin@queensu.ca

Primary author

Ms Annabelle Makowski (Queen's University)

Presentation materials