Published July 2016 | Version v1
Journal article

Wavelet analysis methods for radiography of multidimensional growth of planar mixing layers

  • 1. Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

Description

The counter-propagating shear campaign is examining instability growth and its transition to turbulence in the high-energy-density physics regime using a laser-driven counter-propagating flow platform. In these experiments, we observe consistent complex break-up of and structure growth in a tracer layer placed at the shear flow interface during the instability growth phase. We present a wavelet-transform based analysis technique capable of characterizing the scale- and directionality-resolved average intensity perturbations in static radiographs of the experiment. This technique uses the complete spatial information available in each radiograph to describe the structure evolution. We designed this analysis technique to generate a two-dimensional power spectrum for each radiograph from which we can recover information about structure widths, amplitudes, and orientations. The evolution of the distribution of power in the spectra for an experimental series is a potential metric for quantifying the structure size evolution as well as a system's evolution towards isotropy.

Additional details

Identifiers

Publishing Information

Journal Title
Review of Scientific Instruments
Journal Volume
87
Journal Issue
7
Journal Page Range
vp.
ISSN
0034-6748
CODEN
RSINAK

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48042536
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
Descriptors DEI
AMPLITUDES; ENERGY DENSITY; IMAGES; INSTABILITY; INTERFACES; LASERS; LAYERS; MIXING; PERTURBATION THEORY; SPECTRA; TURBULENCE; TWO-DIMENSIONAL CALCULATIONS; WIDTH
Descriptors DEC
DIMENSIONS

Optional Information

Notes
(c) 2016 Author(s)