Metadata-Version: 2.5
Name: NeuronStar
Version: 0.0.1
Summary: NeuronStar: fast neural inference for neutron-star matter
Project-URL: Repository, https://github.com/prashantstar123/ddb-amortized-inference
Author: Prashant Thakur
License: MIT
License-File: LICENSE
Keywords: Bayesian evidence,equation of state,neural posterior estimation,neutron star,simulation-based inference
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# 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.
