Metadata-Version: 2.1
Name: burstfit
Version: 0.1.0
Summary: Spectro-temporal modeling of FRBs
Home-page: https://github.com/thepetabyteproject/burstfit
Author: Kshitij Aggarwal, Devansh Agarwal
Author-email: ka0064@mix.wvu.edu, da0017@mix.wvu.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Natural Language :: English
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Topic :: Scientific/Engineering :: Astronomy
Description-Content-Type: text/markdown
Requires-Dist: your (>=0.6.3)
Requires-Dist: matplotlib (>=3.3.1)
Requires-Dist: scipy (>=1.5.2)
Requires-Dist: numpy (>=1.19.2)
Requires-Dist: pytest (>=6.2.2)
Requires-Dist: corner (>=2.0.1)
Requires-Dist: scikit-image (>=0.17.2)
Requires-Dist: emcee (>=3.0.2)
Requires-Dist: setuptools (>=50.3.0)

# burstfit
Spectro-temporal modeling of FRBs

# Installation
```bash
git clone https://github.com/thepetabyteproject/burstfit
cd burstfit
pip install -r requirements.txt
python setup.py install
``` 

# Documentation
Have a look at our [docs](https://thepetabyteproject.github.io/burstfit/) for the documentation.

# Tutorials
Here are some [tutorial notebooks](https://github.com/thepetabyteproject/burstfit/tree/main/examples) to get you started.

**Note**:
To run the tutorial notebooks you would need to install `jupyter`.

# Citation

