KF Particle Finder is the package for reconstruction and selection of the short-lived particles using the Kalman filter based mathematics. Properties of the package:

• the vector of parameters include physical parameters: position of the particle, momentum and energy;
• all parameters are provided together with their errors estimated by the Kalman filter;
• short-lived particles and their decay products are treated exactly in the same way;
• as a result, complicated decay topology can be easily reconstructed;
• because of the general parametrisation, the package does not depend on the detector geometry;
• the package is easy portable between experiments;
• the package is optimised and fully vectorised;

KF Particle Finder is being developed be the FIAS group. Documentation on the package:

• S. Gorbunov, “On-line reconstruction algorithms for the CBM and ALICE experiments,” Dissertation thesis, Goethe University of Frankfurt, 2012;
• M. Zyzak, “Online selection of short-lived particles on many-core computer architectures in the CBM experiment at FAIR,” Dissertation thesis, Goethe University of Frankfurt, 2016.

The example macro how to run KF Particle Finder is located in "/star/u/mzyzak/KFParticleFinderExample/". The folder contains:

• setDEV2.csh - a script to configure the environment to TFG18d release;
• StRoot - the latest version of the KF Particle software together with its interfaces;
• data - a folder with one MuDst and one PicoDst file of the run 2016;
• Analysis.C - the main macro to run the example;
• lMuDst.C - macro to load needed libraries, called by.

In order to run the test:

• copy the folder;
• configure the environment running "source setDEV2.csh";
• compile the code by running "cons";
• to run PicoDst: root -l Analysis.C;
• to run MuDst: root -l 'Analysis.C(100000, 1)'.

The output is a table with efficiencies every 100 events and "pico.root" or "mu.root" with the histograms.

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