Special Article - Tools for Experiment and Theory
Analytical computation of process noise matrix in Kalman filter for fitting curved tracks in magnetic field within dense, thick scatterers
Department of High Energy Physics, INO-Group (HECR Section), Tata Institute of Fundamental Research, 1-Homi Bhabha Road, Colaba, Mumbai, 400005, India
* e-mail: firstname.lastname@example.org
Accepted: 30 June 2016
Published online: 7 July 2016
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 .
© The Author(s), 2016