Conveners
Rare Event Discrimination through Pulse Shape Analysis from LZ Dark Matter Search Experiment
- Richard Gaitskell
Description
We perform examples of both classification and regression tasks in our analysis of LZ-related data. Classification involves training a machine learning (ML) model [3] to categorize instances according to a particular label for an image (e.g. cat vs dog, signal vs background). Regression involves using an ML model to predict a continuous value (e.g. predicting the length of a dog’s tail). For this module we will be simulated using signals from the LZ detector, rather than pulses from real data events.
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