摘要: The James Webb Space Telescope (JWST) observed a section of the star forming
region NGC 3324 during its Early Release Observations. We make use of the
Probabilistic Random Forest machine learning model to identify YSOs within the
field of view. We build a matched catalog from photometry data products
available on the Mikulski Space Telescope Archive and retrieve 8632 objects, of
which Spitzer previously detected 458. We use previously classified data from
Spitzer to train on a sample of the Webb data. We retrieve a total of 72 YSO
candidates within the data field, 52 of which are only visible with JWST.
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