Maximum likelihood filtering for particle tracking in turbulent flows
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00348-024-03765-5.pdf
Reference20 articles.
1. Ayyalasomayajula S, Warhaft Z, Collins LR (2008) Modeling inertial particle acceleration statistics in isotropic turbulence. Phys Fluids 20(9):095104. https://doi.org/10.1063/1.2976174
2. Bullerjahn JT, Hummer G (2021) Maximum likelihood estimates of diffusion coefficients from single-particle tracking experiments. J Chem Phys 154(23):234105. https://doi.org/10.1063/5.0038174
3. Celis C, Figueira da Silva LF (2015) Lagrangian mixing models for turbulent combustion: review and prospects. Flow Turbul Combust 94:643–689. https://doi.org/10.1007/s10494-015-9597-1
4. Crawford AM (2004) Particle tracking measurements in fully developed turbulence: water and dilute polymer solutions. PhD thesis, Cornell University
5. Gesemann S (2015) From particle tracks to velocity and acceleration fields using b-splines and penalties. arXiv preprint arXiv:1510.09034
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