Distances to dense cores that contain Very Low Luminosity Objects
G. Maheswar, Chang Won Lee, Sami Dib

TL;DR
This paper estimates distances to dense molecular cores with VeLLOs using near-IR photometry, confirming their VeLLO status and refining their luminosities, which aids understanding of low-luminosity star formation.
Contribution
It introduces a spectral classification method for distance estimation to VeLLO-hosting cores, improving accuracy and confirming the VeLLO nature of several objects.
Findings
Distances to seven VeLLO cores were estimated with ~18% error.
Most VeLLO candidates are confirmed to have luminosities <= 0.1 L_sun.
Evidence of multiple dust layers was found towards some cores.
Abstract
The aim of the paper is to estimate distances to dense molecular cores that harbour Very Low Luminosity Objects (VeLLO) detected by Spitzer Space Telescope and to confirm their VeLLO nature. The cloud distances are estimated using near-IR photometric method. We use a technique that provides spectral classification of stars lying towards the fields containing the clouds into main sequence and giants. In this technique, the observed (J-H) and (H-Ks) colours are dereddened simultaneously using trial values of A_V and a normal interstellar extinction law. The best fit of the dereddened colours to the intrinsic colours giving a minimum value of chi^{2} then yields the corresponding spectral type and A_V for the star. The main sequence stars, thus classified, are then utilized in an A_V versus distance plot to bracket the cloud distances. The typical error in the estimation of distances to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
