Apr 20 – 30, 2020
Virtual/Digital only workshop
Europe/Paris timezone

Global least squares alignment with Kalman Filter fitted tracks

Apr 22, 2020, 2:10 PM
25m
Virtual/Digital only workshop

Virtual/Digital only workshop

Speaker

Pawel Bruckman De Renstrom (Polish Academy of Sciences (PL))

Description

The Kalman Filter approach to fitting charged particle trajectories is widespread in modern complex tracking systems. At the same time, the global fit of the detector geometry using Newton-Raphson fitted tracks remains the baseline method to achieve efficient and reliable track-based alignment which is free from weak-mode biases affecting physics measurements. A brief reminder of the global least squares formalism for track-based alignment and how Kalman Filter fitted tracks can be equivalently used for the global fit as well as potential computational benefits and use of additional constraints will be reviewed.

Consider for young scientist forum (Student or postdoc speaker) No

Primary author

Pawel Bruckman De Renstrom (Polish Academy of Sciences (PL))

Presentation materials

Peer reviewing

Paper