Signal Processing Techniques Intended for Peculiar Star Detection in APOGEE Survey
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http://hdl.handle.net/2183/23887Collections
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Signal Processing Techniques Intended for Peculiar Star Detection in APOGEE SurveyDate
2019-08-01Citation
SANTOVENA, Raul; MANCHADO, Arturo; DAFONTE, Carlos. Signal Processing Techniques Intended for Peculiar Star Detection in APOGEE Survey. En Multidisciplinary Digital Publishing Institute Proceedings. 2019. p. 32.
Abstract
[Abstract] 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
Chemically peculiar stars
Spectral line detection
Signal processing
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Atribución 3.0 España
ISSN
2504-3900