.. ACID documentation master file, created by sphinx-quickstart on Tue Oct 31 11:39:06 2023. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. A.C.I.D v2 (Accurate Continuum fItting and Deconvolution) --------------------------------------------------------------- GitHub link: https://github.com/Benjamin-Cadell/ACID_v2 ACID_v2 is a fork of ACID (https://github.com/ldolan05/ACID) from the work of Lucy Dolan for her PhD. ACID_v2 improves on ACID by: - Updating packages and code to work with newer and stable versions of python. - Improving memory management so that ACID can be run on MacOS without crashes (ie extending compatibility to all POSIX systems) - Adding additional kwargs to ACID to tailor output, including verbosity settings, MCMC number of steps, multiprocessing switch, and more. - Utilising classes for both ACID and the result of ACID, allowing for analysis methods that can be found in the documentation. - Methods to extract fits formats for common instruments (e.g. ESPRESSO, HARPS, UVES) and to load them directly into ACID. - Updated documentation and examples The mathematical functions and method remain the same as ACID and are outlined in Dolan et al. 2024 (https://academic.oup.com/mnras/article/529/3/2071/7624678). The documentation will be kept up to date with the latest function descriptions until at least 2029. 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 (MCMC implementation through emcee_). 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 the paper_ or view the package on GitHub_. Please note that ACID v2 now functions as a class, and so the usage is slightly different to ACID v1. Please see the User Guide and the Using ACID page for more information. .. _emcee: https://emcee.readthedocs.io/en/ .. _paper: https://academic.oup.com/mnras/article/529/3/2071/7624678 .. _GitHub: https://github.com/Benjamin-Cadell/ACID_v2 User Guide ---------- .. toctree:: :maxdepth: 2 Installation and Setup <1_installation> Tutorial - Using ACID <2_using_ACID> Results and Plotting <3_results_and_plotting> Multiprocessing <4_multiprocessing> Using the Data class <5_using_the_data_class> The DataList and loading FITS files <6_datalists> Analysing the Final Profiles <7_profiles> Other ACID Functions <8_other_functions> ACID API License and Attribution ----------------------- Copyright 2025, Benjamin Cadell. ACID is free software made available under the MIT License. If you make use of ACID or ACID_v2 in your work please cite the original work by L.Dolan (L.Dolan et al, 2024): https://academic.oup.com/mnras/article/529/3/2071/7624678.