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Machine Learning applications in dark matter search SuperCDMS experiment.

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ML_darkmatter

Machine Learning applications in dark matter search SuperCDMS experiment.

Fiducial_volume_optimization Code for optimizing the Fiducial volume of the detector. Data taken from SLAC.

Make_features_cf Code for constructing features for nuclear recoils from Californium data from the CDMS detector.

Make_features_ba Code for constructing features for electron recoils from Barium data from the CDMS detector.

ML_classification Code for training, testing and application of ML algorithm on the constructed features.

WIMP_model Plotting the spectrum of dark matter signal(WIMP).

Find more details in the thesis. https://www.virajthakkar.com/projects

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Machine Learning applications in dark matter search SuperCDMS experiment.

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