Pre--Main-Sequence stellar populations across Shapley Constellation III. I. Photometric Analysis and Identification
Dimitrios A. Gouliermis, Andrew E. Dolphin, Massimo Robberto, Robert, A. Gruendl, You-Hua Chu, Mario Gennaro, Thomas Henning, Michael Rosa, Nicola, Da Rio, Wolfgang Brandner, Martino Romaniello, Guido De Marchi, Nino Panagia,, and Hans Zinnecker

TL;DR
This study uses Hubble Space Telescope imaging to identify and analyze pre-main-sequence stellar populations in four star-forming regions of the Large Magellanic Cloud, revealing their properties and suggesting simultaneous star formation along a super-giant shell.
Contribution
It introduces a statistical method to isolate and characterize PMS stars in LMC regions, demonstrating their similar properties and potential synchronized formation history.
Findings
PMS stars are well represented by a double Gaussian distribution.
Regions show similar PMS star characteristics, indicating common star formation history.
Star formation along LMC 4's edge may have occurred nearly simultaneously.
Abstract
We present our investigation of pre--main-sequence (PMS) stellar populations in the Large Magellanic Cloud (LMC) from imaging with Hubble Space Telescope WFPC2 camera. Our targets of interest are four star-forming regions located at the periphery of the super-giant shell LMC 4 (Shapley Constellation III). The PMS stellar content of the regions is revealed through the differential Hess diagrams and the observed color-magnitude diagrams (CMDs). Further statistical analysis of stellar distributions along cross-sections of the faint part of the CMDs allowed the quantitative assessment of the PMS stars census, and the isolation of faint PMS stars as the true low-mass stellar members of the regions. These distributions are found to be well represented by a double Gaussian function, the first component of which represents the main-sequence field stars and the second the native PMS stars of…
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.
