AI-based tools for stellar spectroscopic analysis

26 Nov 2025, 17:00
15m

Speaker

Ignacio Negueruela (Universidad de Alicante)

Description

In the era of large astronomical spectroscopic surveys, automated analysis tools have become a necessity. Unfortunately, the analysis of very luminous stars presents many challenges not encountered with solar-type stars. To overcome these difficulties, we have created a large, interactive online database, Astro+, at the University of Alicante. Astro+ is designed to gather large samples of spectroscopic data on luminous stars, including hot OB stars and cool supergiants, and enable automated analysis based on modified versions of state-of the art codes that can operate without human supervision. Following extensive experimentation with thousands of spectra varying in resolution and signal-to-noise ratios, the database is now prepared for public access. In this talk, I will briefly present the significant efforts dedicated, over the past four years, to ensure the reliability and full automation of the analysis tools within Astro+. I will also discuss our ongoing exploration, framed within the ASFAE Large Astronomical Surveys line 4 initiative, of the use of Artificial Intelligence to enhance the efficiency and speed of the analysis process.

Author

Ignacio Negueruela (Universidad de Alicante)

Co-authors

Prof. Amparo Marco (Universidad de Alicante) Dr Klaus Rübke (Universidad de Alicante)

Presentation materials