no code implementations • 11 Mar 2021 • J. B. R. Battat, C. Eldridge, A. C. Ezeribe, O. P. Gaunt, J. -L. Gauvreau, R. R. Marcelo Gregorio, E. K. K. Habich, K. E. Hall, J. L. Harton, I. Ingabire, R. Lafler, D. Loomba, W. A. Lynch, S. M. Paling, A. Y. Pan, A. Scarff, F. G. Schuckman II, D. P. Snowden-Ifft, N. J. C. Spooner, C. Toth, A. A. Xu
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.
Instrumentation and Methods for Astrophysics
