Sökning: "particle tracking"
Visar resultat 16 - 20 av 163 avhandlingar innehållade orden particle tracking.
16. Statistical methods in single particle fluorescence microscopy
Sammanfattning : The aim of this thesis is stochastic modeling and statistical inference in single particle fluorescence microscopy related to the experimental observation of randomly moving particles. A central theme is the use of single particle microscopy for estimation of absolute concentration of nanoparticles performing Brownian motion. LÄS MER
17. Concentration measurements in single particle microscopy
Sammanfattning : The topic of this thesis is the introduction of two novel methods for using single particle microscopy as a tool for absolute number concentration measurements of Brownian particles. The key idea of both methods is that in order to estimate number concentration, the size of the (three-dimensional) particle detection region has to be estimated. LÄS MER
18. Particle-laden Turbulent Wall-bounded Flows in Moderately Complex Geometries
Sammanfattning : Wall-bounded turbulent dispersed multiphase flows occur in a variety of industrial, biological and environmental applications. The complex nature of the carrier and the particulate phase is elevated to a higher level when introducing geometrical complexities such as curved walls. LÄS MER
19. Towards Realistic Hyperon Reconstruction in PANDA : From Tracking with Machine Learning to Interactions with Residual Gas
Sammanfattning : The PANDA (anti-Proton ANnihilation at DArmstadt) experiment at FAIR (Facility for Anti-proton and Ion Research) aims to study strong interactions in the confinement domain. In PANDA, a continuous beam of anti-protons will impinge on a fixed hydrogen target inside the High Energy Storage Ring (HESR), a feature intended to attain high interaction rates for various physics studies e. LÄS MER
20. Particle filtering for positioning and tracking applications
Sammanfattning : A Bayesian approach to positioning and tracking applications naturally leads to a recursive estimation formulation. The recently invented particle filter provides a numerical solution to the non-tractable recursive Bayesian estimation problem. As an alternative, traditional methods such as the extended Kalman filter. LÄS MER