GENFIT — a Generic Track-Fitting Toolkit

16th International workshop on Advanced Computing and Analysis Techniques in physics research

物理学;计算机科学

Rauch, Johannes^1,2 ; Schlüter, Tobias^2

Technische Universität München, Physik-Department, E18 James-Franck-Straße, Garching

85748, Germany^1

Ludwig-Maximilians-Universität München, Excellence Cluster Universe, Boltzmannstr. 2, Garching

85748, Germany^2

关键词: Fitting algorithms;    Measurement geometry;    Modular framework;    Tracking detectors;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/608/1/012042/pdf
DOI  :  10.1088/1742-6596/608/1/012042

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

GENFIT is an experiment-independent track-fitting toolkit that combines fitting algorithms, track representations, and measurement geometries into a modular framework. We report on a significantly improved version of GENFIT, based on experience gained in the Belle II, PANDA, and FOPI experiments. Improvements concern the implementation of additional track-fitting algorithms, enhanced implementations of Kalman fitters, enhanced visualization capabilities, and additional implementations of measurement types suited for various kinds of tracking detectors. The data model has been revised, allowing for efficient track merging, smoothing, residual calculation, alignment, and storage.