Skip to main content

Response Matrix Utilities

Project description

ReMU - Response Matrix Utilities

ReMU is a framework for response matrices in cross-section measurements and general counting experiments. It offers functions to build response matricesi, and use them to compare truth-space expectation values with actual experimental results in reconstructed space.

Systematic uncertainties about the detector response can be included in the matrices. Done correctly, this enables anyone to test arbitrary models against data that was published together with a response matrix, including systematic detector effects. Intimate knowledge of the detector is only needed to build the response matrix, not to use it.

Project details


Download files

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

Files for remu, version 0.3.0
Filename, size File type Python version Upload date Hashes
Filename, size remu-0.3.0-py2.py3-none-any.whl (44.2 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size remu-0.3.0.tar.gz (45.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page