Particle tracking from image sequences of complex plasma crystals
- Department of Physics and Technology, University of Tromsoe, NO-9037 Tromsoe (Norway)
In order to gather information about the physics of the complex plasma crystals from the experimental data, particles have to be tracked through a sequence of images. An application of the Kalman filter for that purpose is presented, using a one-dimensional approximation of the particle dynamics as a model for the filter. It is shown that Kalman filter is capable of tracking dust particles even with high levels of measurement noise. An inherent part of the Kalman filter, the innovation process, can be used to estimate values of the physical system parameters from the experimental data. The method is shown to be able to estimate the characteristic oscillation frequency from noisy data.
- OSTI ID:
- 20783102
- Journal Information:
- Physics of Plasmas, Vol. 13, Issue 5; Other Information: DOI: 10.1063/1.1993548; (c) 2006 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 1070-664X
- Country of Publication:
- United States
- Language:
- English
Similar Records
Tracking shocked dust: State estimation for a complex plasma during a shock wave
Image computing techniques to extrapolate data for dust tracking in case of an experimental accident simulation in a nuclear fusion plant
Speeding up Particle Track Reconstruction in the CMS Detector using a Vectorized and Parallelized Kalman Filter Algorithm
Journal Article
·
Sun Jan 15 00:00:00 EST 2012
· Physics of Plasmas
·
OSTI ID:20783102
+1 more
Image computing techniques to extrapolate data for dust tracking in case of an experimental accident simulation in a nuclear fusion plant
Journal Article
·
Fri Jan 15 00:00:00 EST 2016
· Review of Scientific Instruments
·
OSTI ID:20783102
+7 more
Speeding up Particle Track Reconstruction in the CMS Detector using a Vectorized and Parallelized Kalman Filter Algorithm
Conference
·
Thu Jun 27 00:00:00 EDT 2019
·
OSTI ID:20783102
+12 more