The VMC Survey - XXXII. Pre-main sequence populations in the Large Magellanic Cloud
Viktor Zivkov (Keele University, ESO), Joana M. Oliveira (Keele, University), Monika G. Petr-Gotzens (ESO), Maria-Rosa L. Cioni (AIP Potsdam),, Stefano Rubele (University of Padova), Jacco Th. van Loon (Keele University),, Kenji Bekki (University of Western Australia)

TL;DR
This study uses near-infrared data from the VISTA Survey to identify and analyze pre-main sequence star populations across the Large Magellanic Cloud, revealing their spatial distribution, clustering, and relation to dust emission.
Contribution
It introduces a novel color-magnitude diagram method applied to a galaxy-wide scale, successfully identifying PMS populations and their spatial extent in the LMC.
Findings
Recovered known star formation complexes and revealed their true spatial extent.
Identified approximately 2260 PMS candidates younger than 10 Myr.
Discovered clustering patterns of young stars along dust-rich ridges and filaments.
Abstract
Detailed studies of intermediate/low mass pre-main sequence (PMS) stars outside the Galaxy have so far been conducted only for small targeted regions harbouring known star formation complexes. The VISTA Survey of the Magellanic Clouds (VMC) provides an opportunity to study PMS populations down to solar masses on a galaxy-wide scale. Our goal is to use near-infrared data from the VMC survey to identify and characterise PMS populations down to ~1 M_sun across the Magellanic Clouds. We present our colour-magnitude diagram method, and apply it to a ~1.5 deg^2 pilot field located in the Large Magellanic Cloud. The pilot field is divided into equally-sized grid elements. We compare the stellar population in every element with the population in nearby control fields by creating K_s/(Y-K_s) Hess diagrams; the observed density excesses over the local field population are used to classify the…
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.
