Pushing Satellite Quenching to Low Masses with Machine Learning

Professor: Mike Cooper

Description: Study the suppression of star formation in local cluster populations, using DECam data to the depth of LSST Y2 imaging. Employ existing spectroscopic samples to train machine learning to classify photometric sources as quenched (versus star-forming).

Preferred Qualifications: Programming experience with Python