Speaker
Description
Brown dwarfs are faint objects that fall between stars and planets in mass, making them intrinsically difficult to detect and confirm. In deep extragalactic survey fields, this becomes even more challenging, since brown dwarf candidates can easily be confused with distant galaxies or other faint sources. In this project, I study a sample of brown dwarf candidates in the COSMOS field using COSMOS-3D data from the James Webb Space Telescope (JWST). Thanks to its unprecedented infrared sensitivity, JWST gives us a unique opportunity to investigate these cool, faint objects in much greater detail than was previously possible.
My current work focuses on the Unfold data products, from which I extract and examine both the 1D and 2D spectra of the candidates. By inspecting these spectra, I test whether the observed signals are consistent with what we would expect from brown dwarfs.
To better understand the physical properties of these objects, I then compare the extracted spectra with brown dwarf templates, in particular the SAND and Sonora models. Through this comparison, I aim to estimate key parameters such as effective temperature, surface gravity (log g), and metallicity. These measurements will help assess which candidates are most likely to be genuine brown dwarfs.
More broadly, this work aims to show how JWST spectroscopy in COSMOS-3D can strengthen brown dwarf identification in deep survey data. By combining spectral extraction with model fitting, I hope to move beyond candidate selection based only on photometry and provide stronger support for the substellar nature of the most promising sources.
| Participate the oral/poster presentation award competition | Yes |
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