The reconstruction of charged particles’ trajectories is one of the most complex and CPU-consuming event processing chains in high energy physics (HEP) experiments. Meanwhile, the precision of track reconstruction has direct and significant impact on vertex reconstruction, physics flavour tagging and particle identfication, and eventually on physics precision, in particular for HEP experiments at the precison frontier, such as the Super τ-Charm facility (STCF).
With an electron-positron collider operating at center-of-mass-energy 2∼7 GeV and a peak luminosity above 0.5 × 10^35 cm^−2 s^−1, the STCF physics program will provide an unique platform for in-depth studies of hadron structure and non-perturbative strong interaction, as well as probing physics beyond the Standard Model at the τ-Charm sector suceeding the present Being Electron-Positron Collider II (BEPCII). To fulfill the physics targets and to further maximize the physics potential at the STCF, the charged particles with momentum down to 50 MeV must be detected and reconstructed, and an excellent momentum and angular resolution of the charged particles must be achieved. Therefore, development of a highly-performant and maintenable tracking software is very curcial for the design, construction and operation of STCF.
Based on the tracking experience at LHC, the project, A Common Tracking Software (ACTS), aims to provide an open-source experiment-independent and framework-independent software designed for modern computing architectures. It provides a set of high-level performant track reconstruction tools which are agnostic to the details of the detection technologies and magnetic field configuration, and tested for strict thread-safety to support multi-threaded event processing. ACTS has been used as a tracking toolkit at experiments such as ATLAS, sPHENIX, ALICE etc. and has shown very promising tracking performance in terms of both physics performance and time performance. However, its applications so far are mainly focusing on silicon-based tracking systems and are often less concerned with charged tracks with momentum below a few hundreds of MeV.
In this talk, I will report on development of the STCF track reconstrcon software based on the detection information from a Silicon (or uRWELL)-based Inner Tracker and a Main Drift Chamber using the Kalman Filter based track finding and fitting algorithms of ACTS. This is the first application of ACTS for a drift chamber and shows very promising performance. Therefore, the efforts on tuning its performance, in particular for charged tracks with low momentum down to 50 MeV, will be highlighted.
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