activity
20232026
most citedMapping Synthetic Observations to Prestellar Core Models: An Interpretable Machine Learning Approach

6 citations · 10 across the 10 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

astro-ph.SR2024

Planet Formation and Disk Chemistry: Dust and Gas Evolution during Planet Formation

G. Perotti, L. Cacciapuoti, N. -D. Tung +3

Over the past decade, progress in observational capabilities, combined with theoretical advancements, have transformed our comprehension of the physics and chemistry during planet…

astro-ph.GA2024

Testing analytical methods to derive the cosmic-ray ionisation rate in cold regions via synthetic observations

E. Redaelli, S. Bovino, A. Lupi +4

Cosmic rays (CRs) heavily impact the chemistry and physics of cold and dense star-forming regions. However, characterising their ionisation rate is still challenging from an observ…