Analytical computation of process noise matrix in Kalman filter for fitting curved tracks in magnetic field within dense, thick scatterers

The European Physical Journal C

Naba K. Mondal¹  Kolahal Bhattacharya¹  Sudeshna Banerjee¹ 

[1]Department of High Energy Physics, INO-Group (HECR Section), Tata Institute of Fundamental Research, 1-Homi Bhabha Road, Colaba, 400005, Mumbai, India

关键词: Kalman Filter;    Reconstruction Performance;    Muon Track;    Random Uncertainty;    Noise Matrix;   

DOI  :  10.1140/epjc/s10052-016-4243-1

来源: Springer

【 摘 要 】

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].

【 授权许可】

CC BY