Alea

alea is a flexible statistical inference framework. The Python package is designed for constructing, handling, and fitting statistical models, computing confidence intervals and conducting sensitivity studies. It is primarily developed for the XENONnT dark matter experiment, but can be used for any statistical inference problem.

If you use alea in your research, please consider citing the software published on zenodo.

Getting started

• Installation
• 0. Introduction to alea: a simple Gaussian model
• 1. The BlueiceExtendedModel: Rate and shape parameters
• 2. The BlueiceExtendedModel: Fitting and Confidence Intervals
• 3. The BlueiceExtendedModel: Sensitivity Studies

Basic concepts

• Parameters
• Statistical models
• Simulators
• Runners
• Data Format
• Submitters

BlueiceExtendedModel

• Structure of BlueiceExtendedModel

Statistical model and runner configuration

• Configuration of statistical models
• Configuration of runners

Release notes

• Release notes
  • 0.3.5 / 2026-03-02
  • 0.3.4 / 2025-05-13
  • 0.3.2 / 2025-02-03
  • 0.3.1 / 2024-12-11
  • 0.3.0 / 2024-09-21
  • 0.2.8 / 2024-08-26
  • 0.2.7 / 2024-08-07
  • 0.2.6 / 2024-07-31
  • 0.2.5 / 2024-07-30
  • 0.2.4 / 2024-03-18
  • 0.2.3 / 2024-02-22
  • 0.2.2 / 2024-01-13
  • 0.2.1 / 2023-12-08
  • 0.2.0 / 2023-09-01
  • 0.1.0 / 2023-08-11
  • 0.0.0 / 2023-07-28

Indices and tables

• Index

• Module Index