SF-11-0001

Classifying YSOs in the Cosmic Cliffs using a ML Approach with JWST Data

Breanna Crompvoets, Hossen Teimoorinia, James Di Francesco

We use a Probabilistic Random Forest algorithm to identify candidate YSOs from point sources detected with the new James Webb Space Telescope (JWST). From the 8632 objects detected with JWST, we find 72 candidate YSOs, only 20 of which were visible in Spitzer.