362 citations · 2.1k across the 55 of their papers we have counts for
9 papers · 1 filter
NEORL: NeuroEvolution Optimization with Reinforcement Learning
Majdi I. Radaideh, Katelin Du, Paul Seurin +4
We present an open-source Python framework for NeuroEvolution Optimization with Reinforcement Learning (NEORL) developed at the Massachusetts Institute of Technology. NEORL offers…
The Additional Representative Images for Legacy (ARI-L) project for the ALMA Science Archive
M. Massardi, F. Stoehr, G. J. Bendo +15
The Additional Representative Images for Legacy (ARI-L) project is a European Development project for ALMA Upgrade approved by the Joint ALMA Observatory (JAO) and the European Sou…
The TOPGöt high-mass star-forming sample. I. Methyl cyanide emission as tracer of early phases of star formation
C. Mininni, F. Fontani, A. Sánchez-Monge +9
The TOPGöt project studies a sample of 86 high-mass star-forming regions in different evolutionary stages from starless cores to ultra compact HII regions. The aim of the survey is…
Physical conditions in the warped accretion disk of a massive star. 349 GHz ALMA observations of G023.0100.41
A. Sanna, A. Giannetti, M. Bonfand +7
Young massive stars warm up the large amount of gas and dust which condenses in their vicinity, exciting a forest of lines from different molecular species. Their line brightness i…
Chemical analysis of prestellar cores in Ophiuchus yields short timescales and rapid collapse
Stefano Bovino, Alessandro Lupi, Andrea Giannetti +4
Sun-like stars form from the contraction of cold and dense interstellar clouds. How the collapse proceeds and what are the main physical processes driving it, however, is still und…
Establishing the evolutionary timescales of the massive star formation process through chemistry
G. Sabatini, S. Bovino, A. Giannetti +6
(Abridged) Understanding the details of the formation process of massive (i.e. M<8-10M) stars is a long-standing problem in astrophysics. [...] We present a method to deriv…