Create informed priors for reflectometry analysis

avant is a python package to extract values from refl_database to create informed or uniform priors to be used in reflectometry analysis.

The aim of avant is to improve reflectometry analysis by applying Bayesian Statistics and creating ‘informed priors’ which take into account literature values in the prior probability distributions of the parameters. The priors are created in a way where they can be directly implemented into refnx to perform reflectometry analysis. Plus, the package has plotting functionalities so you can see what the prior probability distirbutions look like.

• Installation
• Features
• Examples
• Frequently Asked Questions
• API reference
  • avant - Creating informed priors for reflectometry analysis in Python
    • Modules
      • avant.parameter

• Index

• Module Index