most citedA deep-learning approach to the 3D reconstruction of dust density and temperature in star-forming regions

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

astro-ph.GA2023★ 5 cited

A deep-learning approach to the 3D reconstruction of dust density and temperature in star-forming regions

Victor F. Ksoll, Stefan Reissl, Ralf S. Klessen +7

Aims: We introduce a new deep-learning approach for the reconstruction of 3D dust density and temperature distributions from multi-wavelength dust emission observations on the scal…