October 11, 2021 Presentation Open Access

Pascual-Granado, Javier; García Hernández, Antonio; Álvarez Martínez, Sergio

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    "description": "<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>", 
    "license": {
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    "title": "\"How to be a connoiseur of stellar light curves\" or Criteria for reliable frequency extraction of pulsating stars observations", 
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    "keywords": [
      "data analysis", 
      "stars: oscillations", 
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    "publication_date": "2021-10-11", 
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        "affiliation": "Instituto de Astrof\u00edsica de Andaluc\u00eda - CSIC", 
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        "affiliation": "University of Granada", 
        "name": "Garc\u00eda Hern\u00e1ndez, Antonio"
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        "affiliation": "Valencia International University", 
        "name": "\u00c1lvarez Mart\u00ednez, Sergio"
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