17 citations · 19 across the 6 of their papers we have counts for
10 papers
IRIS: Deciphering Spectral-Line Imagery of the Galactic Center by Machine-Learning on Simulations
B. L. DuBois, Cara Battersby, Jonah C. Baade +11
In understanding the 3D structure of the Milky Way's Central Molecular Zone (CMZ), we are limited by our edge-on perspective. Towards addressing this problem, we introduce Imagery…
A method to derive self-consistent NLTE astrophysical parameters for 4 million high-resolution 4MOST stellar spectra in half a day with invertible neural networks
Victor F. Ksoll, Nicholas Storm, Maria Bergemann +5
Modern spectroscopic surveys obtain spectra for millions of stars. However, classical spectroscopic methods can often be computationally expensive, rendering them impractical for t…
Exoplanet formation inference using conditional invertible neural networks
Remo Burn, Victor F. Ksoll, Hubert Klahr +1
The interpretation of the origin of observed exoplanets is usually done only qualitatively due to uncertainties of key parameters in planet formation models. To allow a quantitativ…
A normalizing flow approach for the inference of star cluster properties from unresolved broadband photometry I: Comparison to spectral energy distribution fitting
Daniel Walter, Victor F. Ksoll, Ralf S. Klessen +8
Estimating properties of star clusters from unresolved broadband photometry is a challenging problem that is classically tackled by spectral energy distribution (SED) fitting metho…
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…
Emission-line diagnostics of HII regions using conditional Invertible Neural Networks
Da Eun Kang, Eric W. Pellegrini, Lynton Ardizzone +4
Young massive stars play an important role in the evolution of the interstellar medium (ISM) and the self-regulation of star formation in giant molecular clouds (GMCs) by injecting…