106 citations · 694 across the 19 of their papers we have counts for
19 papers
Mapping Synthetic Observations to Prestellar Core Models: An Interpretable Machine Learning Approach
T. Grassi, M. Padovani, D. Galli +6
Observations of molecular lines are a key tool to determine the main physical properties of prestellar cores. However, not all the information is retained in the observational proc…
Confirmation of the outflow in L1451-mm: SiO line and CHOH maser detections
V. Wakelam, A. Coutens, P. Gratier +2
The observational counterparts of theoretically predicted first hydrostatic cores (FHSC) have been searched for in the interstellar medium for nearly two decades now. Distinguishin…
Scipp: Scientific data handling with labeled multi-dimensional arrays for C++ and Python
Simon Heybrock, Owen Arnold, Igor Gudich +2
Scipp is heavily inspired by the Python library xarray. It enriches raw NumPy-like multi-dimensional arrays of data by adding named dimensions and associated coordinates. Multiple…
New constraints on the initial parameters of low-mass star formation from chemical modeling
Thomas H. G. Vidal, Pierre Gratier, Neil Vaytet +2
The complexity of physico-chemical models of star formation is increasing, with models that take into account new processes and more realistic setups. These models allow astrochemi…
The challenges of modelling microphysics: ambipolar diffusion, chemistry, and cosmic rays in MHD shocks
T. Grassi, M. Padovani, J. P. Ramsey +4
From molecular clouds to protoplanetary disks, non-ideal magnetic effects are important in many astrophysical environments. Indeed, in star and disk formation processes, it has bec…
Protostellar birth with ambipolar and ohmic diffusion
Neil Vaytet, Benoît Commerçon, Jacques Masson +2
The transport of angular momentum is capital during the formation of low-mass stars; too little removal and rotation ensures stellar densities are never reached, too much and the a…