research data . Dataset . 2020

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;
Open Access
  • Published: 21 Oct 2020
  • Publisher: Zenodo
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>
Subjects
free text keywords: Cosmology, Legacy Survey of Space and Time, Rubin Observatory, Bayesian Neural Networks, Hierarchical Inference, Dark Energy Science Collaboration, Strong Gravitational Lensing
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Zenodo
Dataset . 2020
Provider: Datacite
Zenodo
Dataset . 2020
Provider: Datacite
Zenodo
Dataset . 2020
Provider: Datacite
Zenodo
Dataset . 2020
Provider: Datacite
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