NeuronStar
Fast neural inference for neutron-star matter.
NeuronStar is the software of the paper Fast Bayesian Updating of the Neutron-Star Equation of State with Neural Posterior and Evidence Estimation (Prashant Thakur, Department of Physics, Yonsei University). It provides amortized neural posterior estimation with importance-sampling correction (A-NET+IS), truncated sequential neural posterior estimation (TSNPE+MIS), and the Green-function Evidence Network (EN) for equation-of-state inference with nuclear, NICER, GW170817, and pQCD constraints.
This 0.0.1 release reserves the package name. The full code is released at https://github.com/prashantstar123/ddb-amortized-inference.
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Release files for NeuronStar 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| neuronstar-0.0.1.tar.gz | 1.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuronstar-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.5 kB
Release files / neuronstar-0.0.1.tar.gz
| Download URL | neuronstar-0.0.1.tar.gz |
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| Size | 1.9 kB |
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Release files / neuronstar-0.0.1-py3-none-any.whl
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| Size | 2.6 kB |
| Tags | Python 3 |
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