October 11, 2021 Presentation Open Access

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

Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5562498", 
  "author": [
    {
      "family": "Pascual-Granado, Javier"
    }, 
    {
      "family": "Garc\u00eda Hern\u00e1ndez, Antonio"
    }, 
    {
      "family": "\u00c1lvarez Mart\u00ednez, Sergio"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2021, 
        10, 
        11
      ]
    ]
  }, 
  "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>", 
  "title": "\"How to be a connoiseur of stellar light curves\" or Criteria for reliable frequency extraction of pulsating stars observations", 
  "type": "speech", 
  "id": "5562498"
}