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Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing - Model Weights, Chains, BNN Samples, and Simulated Datasets

Wagner-Carena, Sebastian; Park, Ji Won; Birrer, Simon; Marshall, Philip; Roodman, Aaron; Wechsler, Risa


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4116503", 
  "author": [
    {
      "family": "Wagner-Carena, Sebastian"
    }, 
    {
      "family": "Park, Ji Won"
    }, 
    {
      "family": "Birrer, Simon"
    }, 
    {
      "family": "Marshall, Philip"
    }, 
    {
      "family": "Roodman, Aaron"
    }, 
    {
      "family": "Wechsler, Risa"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        10, 
        21
      ]
    ]
  }, 
  "abstract": "<p>The model weights, chains, simulated datasets, and BNN samples used to produce the results shown in LSST DESC Collaboration paper &quot;Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing.&quot; All files presented here are meant for use in tandem with the python package &quot;ovejero&quot; (<a href=\"https://github.com/swagnercarena/ovejero\">https://github.com/swagnercarena/ovejero</a>).</p>", 
  "title": "Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing - Model Weights, Chains, BNN Samples, and Simulated Datasets", 
  "type": "dataset", 
  "id": "4116503"
}
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