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

Installation

The quickest way to get started is to use pip:

python -m pip install lotus-nlte==0.1.1

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 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

Our paper has been submitted to The Astronomical Journal and is being peer-reviewed. We also post it on arxiv and we will update citation after being accepted. If you use LOTUS in your research, please cite:

@ARTICLE{2022arXiv220709415L,
   author = {{Li}, Yangyang and {Ezzeddine}, Rana},
    title = "{LOTUS: A (non-)LTE Optimization Tool for Uniform derivation of Stellar atmospheric parameters}",
  journal = {arXiv e-prints},
 keywords = {Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
     year = 2022,
    month = jul,
      eid = {arXiv:2207.09415},
    pages = {arXiv:2207.09415},
 archivePrefix = {arXiv},
   eprint = {2207.09415},
 primaryClass = {astro-ph.SR},
   adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv220709415L},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}