Reconstruction of tracks in the scintillating fiber trackers is the centerpiece of the MICE offline reconstruction. The software has undergone iterative improvements over time and currently reconstructs tracks with an efficiency >99% in cases where there are at least 3 spacepoints in the tracker. However, in cases where there are precisely 5 spacepoints, the efficiency for forming tracks is only ~93% (upstream), ~85% (downstream). The track fit gives an excellent estimation of the track parameters. However, at the few percent level, there are discrepancies between the reconstructed MC and the “truth” and, in data, between the track momentum reconstructed using the TOFs and that reconstructed using the tracker.
The purpose of the review is to examine the track reconstruction software implemented in MAUS, including space-point reconstruction, track model, pattern recognition, error handling, and the Kalman filter. The simulation code for the tracker will also be considered. The review should consider the overall performance and efficiencies, and identify any issues in the implementation and recommend actions to improve the reconstruction.
The process for the rolling review will be an initial meeting in which the architecture, structure and philosophy of the tracker software is presented. This will be followed by a targeted investigation of the individual components of the tracker reconstruction and simulation software.
K. Long (chair)
Contributions will be sought from members of the tracker group:
Others will be co-opted as required.
Access code: 1779339517¶
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