Emission-line diagnostics of H ii regions using conditional invertible neural networks

Emission-line diagnostics of H ii regions using conditional invertible neural networks

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 energy, momentum, and radiation (stellar feedback) into surrounding environments, disrupting the parental clouds, and r...

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Bibliographic Details
Main Authors: Ardizzone, L. (Author), Glover, S.C.O (Author), Kang, D.E (Author), Klessen, R.S (Author), Koethe, U. (Author), Ksoll, V.F (Author), Pellegrini, E.W (Author)
Format: Article
Language:English
Published: Oxford University Press 2022
Subjects:
Electromagnetic wave emission
galaxies: star formation
Galaxies: star formation
H ii region
H ii regions
Interstellar medias
Interstellar medium: cloud
ISM: clouds
Media clouds
Methods. Data analysis
methods: data analysis
methods: statistical
Methods:statistical
Neural-networks
Physical properties
Stars
Stars formation
Stellars
Online Access:View Fulltext in Publisher

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