Climbing the Cliffs: Classifying YSOs in the Cosmic Cliffs using a ML Approach with JWST Data [SSA]

http://arxiv.org/abs/2301.04772


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.

Read this paper on arXiv…

B. Crompvoets, H. Teimoorinia and J. Francesco
Fri, 13 Jan 23
37/72

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