Signal Processing Techniques Intended for Peculiar Star Detection in APOGEE Survey

• Main Authors: Raul Santovena, Arturo Manchado, Carlos Dafonte
• Format: Article
• Language: English
• Published: MDPI AG 2019-08-01
• Series: Proceedings
• Subjects: apogee survey; chemically peculiar stars; spectral line detection; signal processing
• Online Access: https://www.mdpi.com/2504-3900/21/1/32

Like other disciplines, Astronomy faces the era of Big Data, where the analyses and discovery of specific objects is a significant and non-trivial matter. The APOGEE survey and Gaia mission are good examples of how these kind of projects have increased the amount of data to be managed. In this context, we have developed an algorithm to search for specific features in the APOGEE database. The main purpose is to seek spectral lines both in absorption or emission, in the whole APOGEE database, in order to find chemically-peculiar stars. We propose an algorithm which has been validated using cerium lines and we have applied it to the search for other chemical compounds.