Towards the prediction of molecular parameters from astronomical emission lines using Neural Networks

Author(s):
Barrientos, A.; Holdship, J.R.; Solar, M.; Martín, S.; Rivilla, V.M.; Viti, S.; Mangum, J.; Harada, N.; Sakamoto, K.; Muller, S.; Tanaka, K.; Yoshimura, Y.; Nakanishi, K.; Herrero-Illana, R.; Mühle, S.; Aladro, R.; Aalto, S.; Henkel, C.; Humire, P.
Published
2021
Publication type
Article / Letter to editor
Molecular AstronomyMolecular ParametersMachine LearningNeural NetworksMADCUBAALCHEMI
Date issued
2021
Language
English
Is part of
Experimental Astronomy (2021), Vol. 52, no. 1-2, p. 157-182
hdl
1887/3264197
doi
10.1007/s10686-021-09786-w
URL
https://ui.adsabs.harvard.edu/abs/2021ExA....52..157B