Dataset Open Access

Data release for the paper "A detailed analysis of GW190521 with phenomenological waveform models"

Héctor Estellés; Sascha Husa; Marta Colleoni; Maite Mateu-Lucena; Maria de Lluc Planas; Cecilio García-Quirós; David Keitel; Antoni Ramos-Buades


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4751656", 
  "language": "eng", 
  "title": "Data release for the paper \"A detailed analysis of GW190521 with phenomenological waveform models\"", 
  "issued": {
    "date-parts": [
      [
        2021, 
        5, 
        13
      ]
    ]
  }, 
  "abstract": "<p>Data release for an extensive analysis of the GW190521 gravitational wave event, which is consistent with&nbsp;a high mass binary black hole system&nbsp;with a very short signal, detected during the O3a observation run of the Advanced LIGO and Virgo detectors. In this&nbsp;analysis we use the current generation of phenomenological waveform model families,&nbsp;IMRPhenomX and IMRPhenomT,&nbsp;as implemented in the LALSuite code (<a href=\"https://doi.org/10.7935/GT1W-FZ16\">https://doi.org/10.7935/GT1W-FZ16</a>). This data release corresponds to the paper &quot;A detailed analysis of GW190521 with phenomenological waveform models&quot; (<a href=\"https://arxiv.org/abs/2105.06360\">https://arxiv.org/abs/2105.06360</a>), which should be cited when using these data. It&nbsp;contains the posterior samples of the default runs using IMRPhenomXPHM and IMRPhenomTPHM, carried out using the Markov Chain Monte Carlo (MCMC) sampling&nbsp;implementation of the LALInference code and their corresponding command line.&nbsp;</p>", 
  "author": [
    {
      "family": "H\u00e9ctor Estell\u00e9s"
    }, 
    {
      "family": "Sascha Husa"
    }, 
    {
      "family": "Marta Colleoni"
    }, 
    {
      "family": "Maite Mateu-Lucena"
    }, 
    {
      "family": "Maria de Lluc Planas"
    }, 
    {
      "family": "Cecilio Garc\u00eda-Quir\u00f3s"
    }, 
    {
      "family": "David Keitel"
    }, 
    {
      "family": "Antoni Ramos-Buades"
    }
  ], 
  "type": "dataset", 
  "id": "4751656"
}
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