English

Sub-cell Wave Reconstruction from Differentiated Riemann Variables

Computational Physics 2026-03-18 v1

Abstract

We introduce a postprocessing procedure that recovers sub-cell wave geometry from a standard one-dimensional Euler shock-capturing computation using differentiated Riemann variables (DRVs) -- characteristic derivatives that separate the three wave families into distinct localized spikes. Filtered DRV surrogates detect the waves, plateau sampling extracts the local states, and a pressure-wave-function Newton closure completes the geometry. The entire pipeline adds less than 0.25%0.25\% to the cost of a baseline WENO--5/HLLC solve. For Sod, a severe-expansion problem, and the LeBlanc shock tube, wave locations are recovered to within roundoff or O(104)O(10^{-4}) and the contact is sharpened to one cell width; a pattern-agnostic extension handles all four Riemann configurations with errors at the 10610^{-6}--10810^{-8} level. Direct comparison with MUSCL--THINC--BVD and WENO-Z--THINC--BVD shows that neither reproduces the combination of sharp contacts, small contact-window internal-energy error, and elimination of the LeBlanc positive overshoot achieved by the DRV reconstruction.

Keywords

Cite

@article{arxiv.2603.16830,
  title  = {Sub-cell Wave Reconstruction from Differentiated Riemann Variables},
  author = {Steve Shkoller},
  journal= {arXiv preprint arXiv:2603.16830},
  year   = {2026}
}

Comments

28 pages, 6 figures

R2 v1 2026-07-01T11:24:40.098Z