67 citations · 169 across the 10 of their papers we have counts for
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astro-ph.IM2021★ 6 cited
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…
astro-ph.IM2017★ 67 cited
Low Threshold Results and Limits from the DRIFT Directional Dark Matter Detector
J. B. R. Battat, A. C. Ezeribe, J. -L. Gauvreau +18
We present results from a 54.7 live-day shielded run of the DRIFT-IId detector, the world's most sensitive, directional, dark matter detector. Several improvements were made relati…