collaborators

9 papers

astro-ph.GA2026

The fragmentation properties of massive star-forming regions in 30Dor-10 at 2000 au resolution

A. Traficante, M. J. Jimenez-Donaire, R. Indebetouw +9

The fragmentation properties of parsec-scales clumps play a fundamental role in shaping the dense gas condensations known as cores, the immediate progenitor of stars. The distribut…

astro-ph.GA2026

Are supernovae driving turbulence in the solar neighborhood?

Georges Abboudeh, Patrick Hennebelle, Juan D. Soler +9

Turbulence plays an important role in shaping the interstellar medium, and strongly influences star formation. We aim to identify the physical processes capable of sustaining HI tu…

astro-ph.GA2025

The role of turbulence in setting the phase of the ISM and implications for the star formation rate

Tine Colman, Patrick Hennebelle, Noé Brucy +10

In this work, we explore the link between star formation, turbulence and the thermal state of the multi-phase ISM. We analyse a suite of stratified box simulations modelling a real…

astro-ph.GA2025

The dynamical impact of cosmic rays in the Rhea magnetohydrodynamics simulations

Karin Kjellgren, Philipp Girichidis, Junia Göoller +10

This study explores the dynamical impact of cosmic rays (CRs) in Milky Way-like galaxies using the Rhea simulation suite. Cosmic rays, with their substantial energy density, influe…

astro-ph.GA2025

The Rosetta Stone Project. II. The correlation between star formation efficiency and L/M indicator for the evolutionary stages of star-forming clumps in post-processed radiative magnetohydrodynamics simulations

Ngo-Duy Tung, Alessio Traficante, Ugo Lebreuilly +13

Context. The evolution of massive star-forming clumps that are progenitors of high-mass young stellar objects are often classified based on a variety of observational indicators ra…

astro-ph.SR2025

Spectral classification of young stars using conditional invertible neural networks II. Application to Trumpler 14 in Carina

Da Eun Kang, Dominika Itrich, Victor F. Ksoll +3

We introduce an updated version of our deep learning tool that predicts stellar parameters from the optical spectra of young low-mass stars with intermediate spectral resolution. W…