ACID API

Core Classes

`Acid`	Accurate Continuum fItting and Deconvolution (ACID) class.
`Result`	Class to handle the results from the Acid MCMC sampling, and results processing.
`Data`	Stores necessary data for the Acid class which can be conveniently updated and saved.
`Config`	The main class for storing ACID configuration settings, with methods to plot and save/load the configuration state.
`DataList`	A class that stores Data instances in a list indexed by order. The DataList is a useful class for running ACID over multiple orders with parallelization. Fundamentally this class holds Data instances (which ACID updates with the results per order) as a list and can map the true order number from the instrument (stored in the config) to the index of the list. It handles missing/incomplete orders, and the ability to append new orders. For more information and a full example on how to use the DataList, see :ref:`datalist' in the documentation. Note that the DataList is not strictly necessary to run ACID over multiple orders, you can handle the multiple instances yourself.
`LSD`	Class containing all useful functions for performing least-squares deconvolution.
`Profiles`	A class for fitting spectral line profiles to Voigt, Gaussian, and Lorentzian models.
`MCMC`	Class for handling the MCMC fitting process.
`LineList`	A class to expose the linelist when called in Data.
`MaskingLines`	A simple class to expose the telluric lines when called in Config.

`calc_deltav`	Calculates velocity pixel size
`utils`	All of the utility functions for the ACID package.

These functions are retained for backwards compatibility with ACID v1.

`ACID`	Legacy ACID function
`ACID_HARPS`	Legacy ACID_HARPS function, deprecated after 1.4.5.

type ACID_code.FloatLike = float | numpy.floating: Any pythonic or numpy floating-point scalar.

type ACID_code.IntLike = int | numpy.integer: Any pythonic or numpy integer scalar.

type ACID_code.Scalar = FloatLike | IntLike | numpy.ndarray: A scalar numeric value, including 0D NumPy arrays. The 0D condition is enforced if the value is a 0D NumPy array.

type ACID_code.Array1D = numpy.ndarray | list[Scalar]: A one-dimensional numpy numeric array or a list of scalar numeric values. The 1D condition is enforced for all array types.

type ACID_code.Array2D = numpy.ndarray | list[list[Scalar]] | list[Array1D]: A two-dimensional numpy numeric array or nested numeric lists. Can also mix numpy arrays and lists, ie. a list of 1D numpy arrays, or a list of lists of scalar numeric values, etc. The 2D condition is enforced for all array types.

type ACID_code.Array3D = numpy.ndarray | list[list[list[Scalar]]] | list[list[Array1D]] | list[Array2D]: A three-dimensional numpy numeric array or nested numeric lists. Can also mix numpy arrays and lists, ie. a list of 2D numpy arrays, or a list of lists of 1D numpy arrays, etc. The 3D condition is enforced for all array types.