Metadata-Version: 2.1
Name: lotus-nlte
Version: 0.1.1rc2
Summary: Determine atmospheric stellar parameters in non-LTE
Home-page: https://github.com/Li-Yangyang/LOTUs
Author: Yangyang Li
Author-email: ly95astro@gmail.com
Maintainer: Yangyang Li
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >= 3.7, < 3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: cython (==0.29.24)
Requires-Dist: numpy (>=1.16.4)
Requires-Dist: pandas (==0.24.2)
Requires-Dist: scipy (>=1.5.0)
Requires-Dist: sympy (>=1.6.2)
Requires-Dist: h5py (>=2.10.0)
Requires-Dist: astropy (>=3.2.1)
Requires-Dist: joblib (==1.0.1)
Requires-Dist: numdifftools (==0.9.39)
Requires-Dist: scikit-learn (==0.23.2)
Requires-Dist: pymc3 (==3.7)
Requires-Dist: theano (==1.0.4)
Requires-Dist: matplotlib (>=3.1.3)
Requires-Dist: tqdm
Requires-Dist: corner
Provides-Extra: advanced-interp
Requires-Dist: rbf ; extra == 'advanced-interp'
Requires-Dist: torch ; extra == 'advanced-interp'
Requires-Dist: gpytorch ; extra == 'advanced-interp'
Provides-Extra: doc
Requires-Dist: sphinx-book-theme ; extra == 'doc'

<p align="center">
  <br><br>
  <a href="lotus-nlte.readthedocs.io/en/latest/">
    <img src="https://readthedocs.org/projects/lotus_nlte/badge/?version=latest" alt="Docs">
  </a>
  <a href="https://github.com/Li-Yangyang/LOTUS/blob/main/LICENSE">
    <img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License">
  </a>
</p>

# LOTUS
_LOTUS_ (non-LTE Optimization Tool Utilized for the derivation of atmospheric
Stellar parameters) is a python package for the derivation of stellar parameters via _Equivalent Width (EW)_ method with the assumption of
**1D Non Local Thermodynamic Equilibrium**. It mainly applies on the spectroscopic
data from high resolution spectral survey. It can provide extremely accurate
measurement of stellar parameters compared with non-spectroscipic analysis from
benchmark stars.

Full documentation at [lotus-nlte.readthedocs.io](https://lotus-nlte.readthedocs.io)

## Installation

The quickest way to get started is to use [pip](https://pip.pypa.io):

```bash
python -m pip install lotus-nlte
```
Notice that _LOTUS_ requires Python 3.7.*. You might create an independent environment to run this code.

## Usage

Check out the user guides and tutorial docs on [the docs
page](https://lotus-nlte.readthedocs.io) for details.

## Contributing

_LOTUS_ is an open source code so if you would like to contribute your work please
report an issue or clone this repository to your local end to contribute any changes.

## Attribution

If you use _LOTUS_ in your research, please cite


