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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/12/20/3169

Similar Items