Imagiro: an implementation of Bayesian iterative unfolding for high energy physics

Abstract

Unfolding of reconstructed event properties to identify the true features of collider events is a complementary method to the established practice of detector calibration, and is particularly relevant to large, composite particle detectors such as those at the Large Hadron Collider. The behaviour of the detector is simulated and used to create a mapping between the true properties of events and their reconstructed equivalents. Unfolding attempts to invert this mapping for use in correcting measurements. Imagiro is a new software package providing Bayesian iterative unfolding with systematic and statistical error estimation. The software is designed to simplify the user experience with automatic self-testing and the calculation of optimal parameters. Methods are provided for loading data and producing plotted results in the widely used ROOT format.