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

Alejandro Barrientos | Zendy; Jonathan Holdship | Zendy; Mauricio Solar | Zendy; S. Martín | Zendy; V. M. Rivilla | Zendy; S. Viti | Zendy; J. G. Mangum | Zendy; Nanase Harada | Zendy; Kazushi Sakamoto | Zendy; S. Müller | Zendy; Kunihiko Tanaka | Zendy; Yuki Yoshimura | Zendy; Kouichiro Nakanishi | Zendy; R. HerreroIllana | Zendy; S. Mühle | Zendy; R. Aladro | Zendy; S. Aalto | Zendy; C. Henkel | Zendy; P. K. Humire | Zendy

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

Author(s) -

Alejandro Barrientos,

Jonathan Holdship,

Mauricio Solar,

S. Martín,

V. M. Rivilla,

S. Viti,

J. G. Mangum,

Nanase Harada,

Kazushi Sakamoto,

S. Müller,

Kunihiko Tanaka,

Yuki Yoshimura,

Kouichiro Nakanishi,

R. HerreroIllana,

S. Mühle,

R. Aladro,

S. Aalto,

C. Henkel,

P. K. Humire

Publication year - 2021

Publication title -

experimental astronomy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.788

H-Index - 47

eISSN - 1572-9508

pISSN - 0922-6435

DOI - 10.1007/s10686-021-09786-w

Subject(s) - artificial neural network , spectral line , laser linewidth , millimeter , physics , excitation , spectral resolution , line (geometry) , wavelength , computational physics , computer science , optics , astronomy , artificial intelligence , laser , geometry , mathematics , quantum mechanics

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