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.
@article{arxiv.1902.04405,
title = {Implementation of GENFIT2 as an experiment independent track-fitting framework},
author = {Tadeas Bilka and Nils Braun and Thomas Hauth and Thomas Kuhr and Lia Lavezzi and Felix Metzner and Stephan Paul and Elisabetta Prencipe and Markus Prim and Johannes Rauch and James Ritman and Tobias Schlueter and Stefano Spataro},
journal= {arXiv preprint arXiv:1902.04405},
year = {2019}
}
Comments
41 pages 24 figures, 1 table. Paper submitted to NIM