A5016792792- Gamma-ray bursts and supernovae
- Astrophysics and Star Formation Studies
- Atmospheric chemistry and aerosols
- Advanced Combustion Engine Technologies
- Astronomy and Astrophysical Research
- Stellar, planetary, and galactic studies
University of Victoria
2024
Herzberg Institute of Astrophysics
2024
Abstract Among the first observations released to public from JWST was a section of star-forming region NGC 3324 known colloquially as “Cosmic Cliffs.” We build photometric catalog and test ability using probabilistic random forest machine-learning method identify its young stellar objects (YSOs). find 450 candidate YSOs (cYSOs) out 19,497 total within field, 413 which are cYSOs not found in previous works. These classifications verified with several different metrics, including recall...
The James Webb Space Telescope (JWST) observed a section of the star forming region NGC 3324 during its Early Release Observations. We make use Probabilistic Random Forest machine learning model to identify YSOs within field view. build matched catalog from photometry data products available on Mikulski Archive and retrieve 8632 objects, which Spitzer previously detected 458. classified train sample data. total 72 YSO candidates field, 52 are only visible with JWST.