  The Serpens Molecular Cloud is one of the most active sites of ongoing star
formation at a distance of about 300 pc, and hence is very well-suited for
studies of young low-mass stars and sub-stellar objects. In this paper, for the
Serpens star forming region, we find potential members of the Young Stellar
Objects population from the Gaia DR3 data and study their kinematics and
distribution. We compile a catalog of 656 YSOs from available catalogs ranging
from X-ray to the infrared. We use this as a reference set and cross-match it
to find 87 Gaia DR3 member stars to produce a control sample with revised
parameters. We queried the DR3 catalog with these parameters and found 1196
stars. We then applied three different density-based machine learning
algorithms (DBSCAN, OPTICS and HDBSCAN) to this sample and found potential
YSOs. The three clustering algorithms identified a common set of 822 YSO
members from Gaia DR3 in this region. We also classified these objects using
2MASS and WISE data to study their distribution and the progress of star
formation in Serpens.

Astrophysics of Galaxies;Solar and Stellar Astrophysics