https://github.com/3fon3fonov/bse_nestsamp
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (11.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: 3fon3fonov
- Language: Python
- Default Branch: main
- Size: 507 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Binary Star Evolution with Nested Sampling
Overview
This project implements Binary Star Evolution (BSE) simulations using the Dynesty nested sampling sampler to explore parameter spaces efficiently. The project is designed to analyze the evolution of binary star systems, optimizing physical parameters using Bayesian inference.
Features
- Uses BSE (Binary Star Evolution) code for simulating stellar interactions.
- Implements Dynesty nested sampling for Bayesian parameter estimation.
- Provides MCMC and optimization techniques for fitting binary star models.
- Generates corner plots for posterior distributions.
- Parallel processing support to improve performance.
Dependencies
To run the project, install the following dependencies:
bash
pip install numpy scipy matplotlib emcee corner dill
File Structure
compute_bse_nest.py: Main script for running BSE and nested sampling.BSE: Binary Star Evolution code (modified with respect to the original code!)dynesty_1_2: Dynesty sampler package (modified with respect to the original code!)README.md: This documentation.
Usage
Run the main script:
$ python3 compute_bse_nest.py
This will execute the binary star evolution model with nested sampling and produce output files containing posterior samples and best-fit parameters.
References
- Hurley, J. R., Pols, O. R., & Tout, C. A. (2002). Evolution of binary stars and the effect of tides on binary populations. Monthly Notices of the Royal Astronomical Society, 329(4), 897-928. doi:10.1046/j.1365-8711.2002.05038.x (see also https://ascl.net/1303.014)
- Speagle, J. S. (2020). DYNESTY: a dynamic nested sampling package for estimating Bayesian posteriors and evidences. Monthly Notices of the Royal Astronomical Society, 493(3), 3132-3158. doi:10.1093/mnras/staa278
License
This project is open-source and available under the MIT License.
Owner
- Name: Trifon Trifonov
- Login: 3fon3fonov
- Kind: user
- Location: Germany
- Company: MPIA Heidelberg
- Website: trifonov.in
- Repositories: 1
- Profile: https://github.com/3fon3fonov
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