arXiv · 1512.07836
Analytical computation of process noise matrix in Kalman filter for fitting curved tracks in magnetic field within dense, thick scatterers
Abstract
In the context of track fitting problems by a Kalman filter, the appropriate functional forms of the elements of the random process noise matrix are derived for tracking through thick layers of dense materials and magnetic field. This work complements the form of the process noise matrix obtained by Mankel[1].
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Kolahal Bhattacharya, Sudeshna Banerjee, Naba K Mondal. 2016-07-20. Analytical computation of process noise matrix in Kalman filter for fitting curved tracks in magnetic field within dense, thick scatterers. https://doi.org/10.1140/epjc%2Fs10052-016-4243-1
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