pyafs-astro 0.1.0

A Python implementation of Alpha-shape Fitting to Spectrum (AFS) algorithm

pyAFS: A Python implementation for Alpha-shape Fitting to Spectrum (AFS) algorithm

pyAFS is a Python package that offers a third-party implementation of the Alpha-shape Fitting to Spectrum (AFS) algorithm. Originally developed in R by Xu et. al. (2019), AFS provides a data-driven method for continuum fitting and spectrum normalisation. The original R implementation can be found on GitHub.

Please note that pyAFS is independently developed and maintained. For any bugs or issues related to pyAFS, please report them in this repository.

If you find this package useful, please consider citing the original paper:

@ARTICLE{2019AJ....157..243X,
       author = {{Xu}, Xin and {Cisewski-Kehe}, Jessi and {Davis}, Allen B. and {Fischer}, Debra A. and {Brewer}, John M.},
        title = "{Modeling the Echelle Spectra Continuum with Alpha Shapes and Local Regression Fitting}",
      journal = {\aj},
     keywords = {instrumentation: spectrographs, methods: data analysis, methods: statistical, techniques: radial velocities, techniques: spectroscopic, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2019,
        month = jun,
       volume = {157},
       number = {6},
          eid = {243},
        pages = {243},
          doi = {10.3847/1538-3881/ab1b47},
archivePrefix = {arXiv},
       eprint = {1904.10065},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019AJ....157..243X},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Installation

To install pyAFS, you can use pip:

pip install pyafs-astro

Alternatively, you can clone this repository and install the package locally:

git clone https://github.com/fengshun124/pyAFS.git
cd pyAFS
pip install .

Dependencies

pyAFS requires Python 3.9 or later, as well as the following packages:

numpy
scipy
matplotlib  
pandas
alphashape
shapely
loess

Usage

A simple example of using afs is shown below:

import pandas as pd
from pyafs import afs

# load the spectrum data
data = pd.read_csv('spectrum.csv')

# normalise the spectrum
normalised_flux = afs(data['wavelength'], data['flux'])

A more detailed example can be found in the example notebook.