Dataset Open Access
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
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
(22.1 GB)
| Name | Size | |
|---|---|---|
|
datasets.zip
md5:0fb5e9ddb391ea9c5e87e05ae5d411e5 |
297.3 MB | Download |
|
forward_modeling.zip
md5:9a16f09fec4571c7f4d741fbac99ae6e |
337.6 MB | Download |
|
hierarchical_results.zip
md5:ccc828043432dac3e8c335470cd01749 |
3.1 GB | Download |
|
models.zip
md5:0c0cd803ea13bc39bcec011ae70ab722 |
5.2 GB | Download |
|
train.zip
md5:38c3b885a6a106152fc746c689ee905d |
12.5 GB | Download |
|
validation_results.zip
md5:31550a72dc06c7184e7553d33fcfd0d9 |
630.7 MB | Download |
165
76
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 165 | 165 |
| Downloads | 76 | 76 |
| Data volume | 317.1 GB | 317.1 GB |
| Unique views | 138 | 138 |
| Unique downloads | 31 | 31 |
Indexed in
- Publication date:
- October 21, 2020
- DOI:
-
- Keyword(s):
- Cosmology Legacy Survey of Space and Time Rubin Observatory Bayesian Neural Networks Hierarchical Inference Dark Energy Science Collaboration Strong Gravitational Lensing
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International