SATLAS – Statistical Analysis Toolbox for Laser Spectroscopy¶

Purpose¶

This Python package has been created with the goal of creating an easier interface for the analysis of data gathered from laser spectroscopy experiments. Support for fitting the spectra, using both $\chi^2$ -fitting and Maximum Likelihood Estimation routines, are present.

Dependencies¶

This package depends on the following packages:

NumPy

SciPy

Matplotlib

sympy

h5py

numdifftools

LMFIT

The following packages are distributed as part of SATLAS:

emcee

tqdm

Only Python 3.x is supported! Code can be downloaded here. Parts of the code have been based on other resources; this is signaled in the documentation when this is the case. Inspiration has been drawn from the triangle.py script, written by Dan Foreman-Mackey et al. [FMPWR+14], for the correlation plot code.