Presentation Open Access
Pascual-Granado, Javier;
García Hernández, Antonio;
Álvarez Martínez, Sergio
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.5562498</identifier> <creators> <creator> <creatorName>Pascual-Granado, Javier</creatorName> <givenName>Javier</givenName> <familyName>Pascual-Granado</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0139-6951</nameIdentifier> <affiliation>Instituto de Astrofísica de Andalucía - CSIC</affiliation> </creator> <creator> <creatorName>García Hernández, Antonio</creatorName> <givenName>Antonio</givenName> <familyName>García Hernández</familyName> <affiliation>University of Granada</affiliation> </creator> <creator> <creatorName>Álvarez Martínez, Sergio</creatorName> <givenName>Sergio</givenName> <familyName>Álvarez Martínez</familyName> <affiliation>Valencia International University</affiliation> </creator> </creators> <titles> <title>"How to be a connoiseur of stellar light curves" or Criteria for reliable frequency extraction of pulsating stars observations</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2021</publicationYear> <subjects> <subject>data analysis</subject> <subject>stars: oscillations</subject> <subject>methods: statistical</subject> </subjects> <dates> <date dateType="Issued">2021-10-11</date> </dates> <resourceType resourceTypeGeneral="Text">Presentation</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5562498</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5562497</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/plato2021</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>It is clear that for the identification of pulsation modes a necessary first step is the unambiguous detection and extraction of frequencies from observations. It is no less clear that this task is arduous and full of obstacles. To name just a few: irregular sampling introduce correlation between frequency bins in the periodogram; noise level cannot be estimated properly when the statistical properties deviate from a uncorrelated stochastic process with Gaussian distribution; the false alarm test, which is based on a proper estimation of the noise level, also suffer from biases due to assumptions like an exponentially distributed noise; different fitting methods produce different results, etc. Here I will discuss some of these issues and introduce an ambitious project aimed to formalize a set of consistent criteria for a reliable frequency extraction in pulsating stars observations. This will produce a living recipe with the purpose of serving as a reference for the present and future data analysts of the ultra-precise observations gathered by asteroseismic space missions. That is, the necessary criteria to be a connoisseur of stellar light curves and identify pulsation modes with seismic models.</p></description> </descriptions> </resource>
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