Published October 21, 2020 | Version v1
Dataset Open

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

  • 1. Stanford University / SLAC
  • 2. Stanford University

Description

The model weights, chains, simulated datasets, and BNN samples used to produce the results shown in LSST DESC Collaboration paper "Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing." All files presented here are meant for use in tandem with the python package "ovejero" (https://github.com/swagnercarena/ovejero).

Files

datasets.zip

Files (22.1 GB)

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md5:0fb5e9ddb391ea9c5e87e05ae5d411e5
297.3 MB Preview Download
md5:9a16f09fec4571c7f4d741fbac99ae6e
337.6 MB Preview Download
md5:ccc828043432dac3e8c335470cd01749
3.1 GB Preview Download
md5:0c0cd803ea13bc39bcec011ae70ab722
5.2 GB Preview Download
md5:38c3b885a6a106152fc746c689ee905d
12.5 GB Preview Download
md5:31550a72dc06c7184e7553d33fcfd0d9
630.7 MB Preview Download