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