A second-order polynomial kernel outperforms Gaussian kernels when smoothing Lagrangian particle trajectories
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00348-024-03848-3.pdf
Reference12 articles.
1. Berk T, Coletti F (2021) Dynamics of small heavy particles in homogeneous turbulence: a Lagrangian experimental study. J Fluid Mech 917:A47. https://doi.org/10.1017/jfm.2021.280
2. Brandt L, Coletti F (2022) Particle-laden turbulence: progress and perspectives. Ann Rev Fluid Mech 54(1):159–189. https://doi.org/10.1146/annurev-fluid-030121-021103
3. Galanis M, Shattuck MD, O’Hern CS, Ouellette NT (2022) Directional strengthening and weakening in hydrodynamically sheared granular beds. Phys Rev Fluids 7(1):013802. https://doi.org/10.1103/physrevfluids.7.013802
4. Lawson JM, Bodenschatz E, Lalescu CC, Wilczek M (2018) Bias in particle tracking acceleration measurement. Exp Fluids. https://doi.org/10.1007/s00348-018-2622-0
5. Mordant N, Crawford AM, Bodenschatz E (2004) Experimental Lagrangian acceleration probability density function measurement. Physica D 193(1–4):245–251. https://doi.org/10.1016/j.physd.2004.01.041
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