Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques

Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques

This article presents a new algorithm that uses techniques from the field of artificial intelligence to automatically estimate the physical parameters of massive stars from a grid of stellar spectral models. This is the first grid to consider hydrodynamic solutions for stellar winds and radiative tr...

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Bibliographic Details
Main Authors: Esteban Olivares, Michel Curé, Ignacio Araya, Ernesto Fabregas, Catalina Arcos, Natalia Machuca, Gonzalo Farias
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mathematics
Subjects:
data analysis
deep learning
massive stars
fundamental parameters
astronomical databases miscellaneous
Online Access:https://www.mdpi.com/2227-7390/12/20/3169
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