Stellar population of the Rosette Nebula and NGC 2244: application of the probabilistic random forest
Koraljka Muzic, Victor Almendros-Abad, Herve Bouy, Karolina Kubiak,, Karla Pena Ramirez, Alberto Krone-Martins, Andre Moitinho, Miguel Conceicao

TL;DR
This study uses probabilistic random forest to identify members of the Rosette Nebula, revealing the cluster's structure, kinematics, and star formation history, and suggesting it may be unbound and super-virial.
Contribution
It applies a novel probabilistic random forest method to classify stellar members and analyze the structure and dynamics of the Rosette Nebula region.
Findings
Identified nearly 3000 probable members with probabilistic classification.
Found NGC 2244 is expanding with velocity increasing with radius.
Suggested NGC 2244 may be unbound and in a super-virial state.
Abstract
(Abridged) In this work, we study the 2.8x2.6 deg2 region in the emblematic Rosette Nebula, centred at the young cluster NGC 2244, with the aim of constructing the most reliable candidate member list to date, determining various structural and kinematic parameters, and learning about the past and the future of the region. Starting from a catalogue containing optical to mid-infrared photometry, as well as positions and proper motions from Gaia EDR3, we apply the Probabilistic Random Forest algorithm and derive membership probability for each source. Based on the list of almost 3000 probable members, of which about a third are concentrated within the radius of 20' from the centre of NGC 2244, we identify various clustered sources and stellar concentrations, and estimate the average distance of 1489+-37 pc (entire region), 1440+-32 pc (NGC 2244) and 1525+-36 pc (NGC 2237). The masses,…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies
