Skip to main content

Pure python statistic tools for high energy physics.

Project description

https://travis-ci.org/marinang/lauztat.svg?branch=master Build Status Test Status Coveralls github Codacy Badge https://mybinder.org/badge_logo.svg PyPI - Python Version

Pure python statistics tools for high energy physics using zfit as a backend for maximum likelihood fits.

Tests for discovery, upper limits and confidence intervals are provided based on likelihood ratios in a frequentist approach (using pseudo-experiments) or using asymptotic formulae from “Asymptotic formulae for likelihood-based tests of new physics” [arxiv:1007.1727].

lauztat has been developed at EPFL, Lausanne Switzerland (laus’ or lauz is how the cool kids call Lausanne).

dependencies:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

lauztat-1.1-py3.6.egg (65.0 kB view hashes)

Uploaded Source

lauztat-1.1-py3-none-any.whl (29.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page