/kosmo-kompress

Code for leveraging Information Maximising Neural Networks for optimal cosmological field compression and Bayesian inference for cosmological parameters

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

kosmo-kompress

arXiv License: MIT Open In Colab

Field-level cosmological inference with Information Maximising Neural Networks (IMNNs) and Density Estimation Likelihood-Free Inference (DELFI)

by Lucas Makinen drawing drawing, Tom Charnock drawing drawing, Justin Alsing drawing, and Ben Wandelt drawing drawing

read the paper: https://arxiv.org/abs/2107.07405

get the code: https://github.com/tlmakinen/kosmo-kompress

run the browser-based tutorial in Colab drawing

Full documentation coming soon !

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how to cite this code: if you find this code useful for your analyses, please cite the associated paper, as well as:

-IMNN paper: https://arxiv.org/abs/1802.03537

-DELFI paper: https://arxiv.org/abs/1903.00007