dachengx / blueice Goto Github PK

Source code: https://github.com/JelleAalbers/blueice

Documentation: http://blueice.readthedocs.io/en/latest/index.html

This package allows you to do parametric inference using likelihood functions, in particular likelihoods derived from Monte-Carlo or calibration sources.

Especially when connected to a Monte Carlo, blueice lets you make likelihood functions which measure agreement between data and theory with flexibility: you choose which settings to vary (which parameters the likelihood functions has) and in which space the agreement is measured.

This package contains only generic code: you'll need a few things to make it useful for a particular experiment. Originally this code was developed for XENON1T only; the XENON1T models have since been split off to the laidbax repository.

• Jelle Aalbers
• Knut Dundas Moraa
• Bart Pelssers