A parametrized Kalman filter for fast track fitting at LHCb
We present an alternative implementation of the Kalman filter employed for track fitting within the LHCb experiment. It uses simple parametrizations for the extrapolation of particle trajectories in the field of the LHCb dipole magnet and for the effects of multiple scattering in the detector materi...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
7 May 2021
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| In: |
Computer physics communications / Program library
Year: 2021, Volume: 265, Pages: 1-7 |
| DOI: | 10.1016/j.cpc.2021.108026 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1016/j.cpc.2021.108026 Verlag: https://www.sciencedirect.com/science/article/pii/S0010465521001387 
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| Author Notes: | P. Billoir, M. De Cian, P.A. Günther, S. Stemmle |
| Summary: | We present an alternative implementation of the Kalman filter employed for track fitting within the LHCb experiment. It uses simple parametrizations for the extrapolation of particle trajectories in the field of the LHCb dipole magnet and for the effects of multiple scattering in the detector material. A speedup of more than a factor of four is achieved while maintaining the quality of the estimated track quantities. This Kalman filter implementation could be used in the purely software-based trigger of the LHCb upgrade. |
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| Item Description: | Available online 7 May 2021 Gesehen am 16.07.2021 |
| Physical Description: | Online Resource |
| DOI: | 10.1016/j.cpc.2021.108026 |