Low mass young stars in the Milky Way unveiled by DBSCAN and Gaia EDR3. Mapping the star forming regions within 1.5 Kpc
L. Prisinzano (1), F. Damiani (1), S. Sciortino (1), E. Flaccomio (1),, M. G. Guarcello (1), G. Micela (1), E. Tognelli (2), R. D. Jeffries (3), and, J. M. Alcal\'a (4) ((1) INAF-Osservatorio Astronomico di Palermo, (2) CEICO,, (3) Keele University

TL;DR
This study utilizes Gaia EDR3 data and the DBSCAN clustering algorithm to systematically identify and map low-mass young stellar objects and star forming regions within 1.5 kpc of the Milky Way, revealing new insights into Galactic structure.
Contribution
The paper introduces a novel method combining Gaia EDR3 data with DBSCAN clustering to detect and characterize young stellar populations and star forming regions in the Milky Way.
Findings
Identified 124,440 candidate YSOs in 354 SFRs within 1.5 kpc.
Discovered 65,863 low-mass members in 322 clusters aged 10-100 Myr.
Mapped complex 3D structures of major SFRs like Orion and Sco-Cen.
Abstract
With an unprecedented astrometric and photometric data precision, Gaia EDR3 gives us, for the first time, the opportunity to systematically detect and map in the optical bands, the low mass populations of the star forming regions (SFRs) in the Milky Way. We provide a catalogue of the Gaia EDR3 data (photometry, proper motions and parallaxes) of the young stellar objects (YSOs) identified in the Galactic Plane (|b|<30 deg) within about 1.5 kpc. The catalogue of the SFRs to which they belong is also provided to study the properties of the very young clusters and put them in the context of the Galaxy structure. We applied the machine learning unsupervised clustering algorithm DBSCAN on a sample of Gaia EDR3 data photometrically selected on the region where very young stars (t<10 Myr) are expected to be found, with the aim to identify co-moving and spatially consistent stellar clusters. A…
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