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Signal Processing Techniques Intended for Peculiar Star Detection in APOGEE Survey

1
Centro de investigación CITIC, Universidade da Coruña, Campus de Elviña s/n, 15071 A Coruña, Spain
2
Instituto de Astrofísica de Canarias, E-38206 La laguna, Tenerife, Spain
*
Author to whom correspondence should be addressed.
Presented at the 2nd XoveTIC Congress, A Coruña, Spain, 5–6 September 2019.
Proceedings 2019, 21(1), 32; https://doi.org/10.3390/proceedings2019021032
Published: 1 August 2019
(This article belongs to the Proceedings of XoveTIC Conference)
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.
Keywords: apogee survey; chemically peculiar stars; spectral line detection; signal processing apogee survey; chemically peculiar stars; spectral line detection; signal processing
MDPI and ACS Style

Santovena, R.; Manchado, A.; Dafonte, C. Signal Processing Techniques Intended for Peculiar Star Detection in APOGEE Survey. Proceedings 2019, 21, 32.

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