Implementation of GENFIT2 as an experiment independent track-fitting framework

TL;DR

GENFIT2 is a versatile, experiment-independent track-fitting framework that enhances usability, visualization, and integration with other tools, enabling precise charged particle trajectory analysis across different experiments.

Contribution

The paper introduces GENFIT2, a generalized and user-friendly track-fitting toolkit with new features and interfaces, applicable to various experimental setups.

Findings

Successfully integrated into basf2 and PandaRoot frameworks.

Provides accurate track parameter extrapolations using Kalman filter routines.

Supports detector alignment and vertex finding through interfaces to Millepede II and RAVE.

Abstract

The GENFIT toolkit, initially developed at the Technische Universitaet Muenchen, has been extended and modified to be more general and user-friendly. The new GENFIT, called GENFIT2, provides track representation, track-fitting algorithms and graphic visualization of tracks and detectors, and it can be used for any experiment that determines parameters of charged particle trajectories from spacial coordinate measurements. Based on general Kalman filter routines, it can perform extrapolations of track parameters and covariance matrices. It also provides interfaces to Millepede II for alignment purposes, and RAVE for the vertex finder. Results of an implementation of GENFIT2 in basf2 and PandaRoot software frameworks are presented here.