Estimation of Lagrangian Velocities in Thermal Counterflow of Superfluid Helium by a Multi-Point Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10389804" target="_blank" >RIV/00216208:11320/18:10389804 - isvavai.cz</a>
Result on the web
<a href="https://www.mff.cuni.cz/veda/konference/wds/proc/pdf18/WDS18_26_f3_Svancara.pdf" target="_blank" >https://www.mff.cuni.cz/veda/konference/wds/proc/pdf18/WDS18_26_f3_Svancara.pdf</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Estimation of Lagrangian Velocities in Thermal Counterflow of Superfluid Helium by a Multi-Point Algorithm
Original language description
The statistical distributions of particle velocities in turbulent flows of superfluid helium display non-classical tails at small enough scales. The shape of these tails is affected by uncertainties originating from the use of numerical differentiation for particle velocity computation. We compare here the performance of a multi-point velocity estimator based on Gaussian blur kernels with that of a simple linear estimator. We find that the particle velocities obtained by the former are less noisy but, at the same time, the estimator parametrization may depend on the studied physical problem.
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10302 - Condensed matter physics (including formerly solid state physics, supercond.)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)