Metadata-Version: 2.4
Name: ACID_code_v2
Version: 0.1.3
Summary: Returns line profiles from input spectra by fitting the stellar continuum and performing LSD
Author: Lucy Dolan
Author-email: Benjamin Cadell <bcadell01@qub.ac.uk>
License-Expression: MIT
Project-URL: Homepage, https://github.com/Benjamin-Cadell/ACID
Keywords: lsd,least squares deconvolution,fitting,ACID
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: POSIX
Requires-Python: <3.14,>=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: emcee
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: astropy
Requires-Dist: tqdm
Provides-Extra: docs
Requires-Dist: sphinx_rtd_theme; extra == "docs"
Dynamic: license-file

A.C.I.D (Accurate Continuum fItting and Deconvolution)
==============================================================

ACID is a technique that builds on traditional Least-Squares Deconvolution (LSD) by simultaneously fitting the stellar continuum and stellar line profile and performing LSD in effective optical depth. 

In a basic sense, ACID simulatenously fits the stellar continuum and profile using a combination of LSD and MCMC techniques. The spectra are then continuum corrected using this continuum fit. LSD is then run on the continuum corrected spectra to return high-resolution line profiles for each spectrum.

For a full outline of ACID's algorithm and implementation, see our paper: (link to paper will be added)

Documentation: https://acid-code.readthedocs.io/en/latest/index.html

