Improved Sensitivity of the DRIFT-IId Directional Dark Matter Experiment using Machine Learning

J. B. R. Battat, C. Eldridge, A. C. Ezeribe +18

We demonstrate a new type of analysis for the DRIFT-IId directional dark matter detector using a machine learning algorithm called a Random Forest Classifier. The analysis labels e…