4 citations · 5 across the 3 of their papers we have counts for
3 papers
astro-ph.SR2024★ 1 cited
De-Biasing Structure Function Estimates From Sparse Time Series of the Solar Wind: A Data-Driven Approach
Daniel Wrench, Tulasi N. Parashar
Structure functions, which represent the moments of the increments of a stochastic process, are essential complementary statistics to power spectra for analysing the self-similar b…
physics.plasm-ph2023
Statistics of Turbulence in the Solar Wind. I. What is the Reynolds Number of the Solar Wind?
Daniel Wrench, Tulasi N. Parashar, Sean Oughton +2
The Reynolds number, Re, is an important quantity for describing a turbulent flow. It tells us about the bandwidth over which energy can cascade from large scales to smaller ones,…
astro-ph.SR2022★ 4 cited
Exploring the potential of neural networks to predict statistics of solar wind turbulence
Daniel Wrench, Tulasi N. Parashar, Ritesh K. Singh +2
Time series datasets often have missing or corrupted entries, which need to be ignored in subsequent data analysis. For example, in the context of space physics, calibration issues…