.. dive documentation master file, created by sphinx-quickstart on Wed Aug 7 19:00:32 2024. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. dive documentation ================== ``dive`` is a Python package for Bayesian analysis of dipolar EPR (electron paramagnetic resonance) spectroscopy data through Markov chain Monte Carlo (MCMC) sampling with the Python package `PyMC `_. About ----- ``dive`` is a Python package for analyzing DEER spectroscopy with Bayesian inference. When given a model (Tikhonov regularization or Gaussian mixture), prior distributions for model parameters (which are already included in ``dive``), and experimental data, Markov chain Monte Carlo (MCMC) sampling is run with ``PyMC`` to yield refined posterior distributions for each parameter. These posterior distributions provide full quantification of the uncertainty of all parameters, and can be analyzed for their means, confidence intervals, and so on. .. image:: images/figure-bayes-v6.png :width: 600 :alt: An illustration of the Bayes process. Usage ----- See :doc:`usage` for information on how to use ``dive``. Contents -------- .. toctree:: usage data models sampling plotting saving utils