Characterisation of the Clouds' young stellar Bridge using Gaia DR3
Marie Sch\"olch (1, 2, and 3), \'Oscar Jim\'enez-Arranz (4), Merc\`e Romero-G\'omez (1, 2, and 3), Xavier Luri (1, 2, and 3) ((1) Departament de F\'isica Qu\`antica i Astrof\'isica (FQA), Universitat de Barcelona, (2) Institut de Ci\`encies del Cosmos (ICCUB)

TL;DR
This study identifies and characterizes a new sample of young stars in the Magellanic Clouds' Bridge using Gaia DR3 data and machine learning, revealing their distribution, kinematics, and support for tidal formation.
Contribution
It introduces a novel machine learning approach to select young Bridge stars and provides detailed analysis of their properties and origin.
Findings
Bridge length is approximately 15 kpc.
Stars are moving from SMC to LMC at ~114 km/s.
Crossing time of the Bridge is about 125 Myr.
Abstract
The interaction between the LMC and SMC (the Clouds) has resulted in prominent tidal features, including an extended bridge of gas and stars connecting the two galaxies. This Bridge has likely formed during the most recent interaction between the Clouds, about 150-250 Myr ago. While some young stars observed in the Bridge have formed in-situ from the tidally stripped gas, stellar populations may also have been drawn out of the SMC during the tidal interaction. We aim to identify a clean sample of likely Bridge stars in the region between the LMC and SMC using Gaia DR3 astrometric and photometric data combined with machine-learning techniques. We use the dimensionality-reduction algorithm UMAP to construct a training sample of young stars in the outskirts of the SMC and LMC. A neural network trained on this sample is then applied to Gaia sources in the inter-Cloud region to classify the…
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