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Title: Parallel computing of a digital hologram and particle searching for microdigital-holographic particle-tracking velocimetry

Abstract

We have developed a parallel algorithm for microdigital-holographic particle-tracking velocimetry. The algorithm is used in (1) numerical reconstruction of a particle image computer using a digital hologram, and (2) searching for particles. The numerical reconstruction from the digital hologram makes use of the Fresnel diffraction equation and the FFT (fast Fourier transform),whereas the particle search algorithm looks for local maximum graduation in a reconstruction field represented by a 3D matrix. To achieve high performance computing for both calculations (reconstruction and particle search), two memory partitions are allocated to the 3D matrix. In this matrix, the reconstruction part consists of horizontally placed 2D memory partitions on the x-y plane for the FFT, whereas, the particle search part consists of vertically placed 2D memory partitions set along the z axes.Consequently, the scalability can be obtained for the proportion of processor elements,where the benchmarks are carried out for parallel computation by a SGI Altix machine.

Authors:
; ; ; ; ;
Publication Date:
OSTI Identifier:
20929599
Resource Type:
Journal Article
Resource Relation:
Journal Name: Applied Optics; Journal Volume: 46; Journal Issue: 4; Other Information: DOI: 10.1364/AO.46.000538; (c) 2007 Optical Society of America; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; ALGORITHMS; BENCHMARKS; CALCULATION METHODS; COMPUTER ARCHITECTURE; DIFFRACTION; EQUATIONS; FOURIER TRANSFORMATION; FRESNEL LENS; HOLOGRAPHY; MATRICES; PARALLEL PROCESSING; PERFORMANCE; THREE-DIMENSIONAL CALCULATIONS; TWO-DIMENSIONAL CALCULATIONS

Citation Formats

Satake, Shin-ichi, Kanamori, Hiroyuki, Kunugi, Tomoaki, Sato, Kazuho, Ito, Tomoyoshi, and Yamamoto, Keisuke. Parallel computing of a digital hologram and particle searching for microdigital-holographic particle-tracking velocimetry. United States: N. p., 2007. Web. doi:10.1364/AO.46.000538.
Satake, Shin-ichi, Kanamori, Hiroyuki, Kunugi, Tomoaki, Sato, Kazuho, Ito, Tomoyoshi, & Yamamoto, Keisuke. Parallel computing of a digital hologram and particle searching for microdigital-holographic particle-tracking velocimetry. United States. doi:10.1364/AO.46.000538.
Satake, Shin-ichi, Kanamori, Hiroyuki, Kunugi, Tomoaki, Sato, Kazuho, Ito, Tomoyoshi, and Yamamoto, Keisuke. Thu . "Parallel computing of a digital hologram and particle searching for microdigital-holographic particle-tracking velocimetry". United States. doi:10.1364/AO.46.000538.
@article{osti_20929599,
title = {Parallel computing of a digital hologram and particle searching for microdigital-holographic particle-tracking velocimetry},
author = {Satake, Shin-ichi and Kanamori, Hiroyuki and Kunugi, Tomoaki and Sato, Kazuho and Ito, Tomoyoshi and Yamamoto, Keisuke},
abstractNote = {We have developed a parallel algorithm for microdigital-holographic particle-tracking velocimetry. The algorithm is used in (1) numerical reconstruction of a particle image computer using a digital hologram, and (2) searching for particles. The numerical reconstruction from the digital hologram makes use of the Fresnel diffraction equation and the FFT (fast Fourier transform),whereas the particle search algorithm looks for local maximum graduation in a reconstruction field represented by a 3D matrix. To achieve high performance computing for both calculations (reconstruction and particle search), two memory partitions are allocated to the 3D matrix. In this matrix, the reconstruction part consists of horizontally placed 2D memory partitions on the x-y plane for the FFT, whereas, the particle search part consists of vertically placed 2D memory partitions set along the z axes.Consequently, the scalability can be obtained for the proportion of processor elements,where the benchmarks are carried out for parallel computation by a SGI Altix machine.},
doi = {10.1364/AO.46.000538},
journal = {Applied Optics},
number = 4,
volume = 46,
place = {United States},
year = {Thu Feb 01 00:00:00 EST 2007},
month = {Thu Feb 01 00:00:00 EST 2007}
}
  • Digital holography, which consists of both acquiring the hologram image in a digital camera and numerically reconstructing the information, offers new and faster ways to make the most of a hologram. We describe a new method to determine the rough size of particles in an in-line hologram. This method relies on a property that is specific to interference patterns in Fresnel holograms: Self-correlation of a hologram provides access to size information. The proposed method is both simple and fast and gives results with acceptable precision. It suppresses all the problems related to the numerical depth of focus when large depthmore » volumes are analyzed.« less
  • This paper discusses the different analysis methods used in holographic particle image velocimetry to measure particle displacement and compares their relative performance. A digital holographic microscope is described and is used to record the light scattered by particles deposited on cover slides that are displaced between exposures. In this way, particle position and displacement are controlled and a numerical data set is generated. Data extraction using nearest neighbor analysis and correlation of either the reconstructed complex amplitude or intensity fields is then investigated.
  • A novel holographic particle-image velocimeter system has been developed for the study of three-dimensional (3-D) fluid velocity fields. The recording system produces 3-D particle images with a resolution, a signal-to-noise ratio, an accuracy, and derived velocity fields that are comparable to high-quality two-dimensional photographic particle-image velocimetry (PIV). The high image resolution is accomplished through the use of low [ital f]-number optics, a fringe-stabilized processing chemistry, and a phase conjugate play-back geometry that compensates for aberrations in the imaging system. In addition, the system employs a reference multiplexed, off-axis geometry for the determination of velocity directions with the cross-correlation technique, andmore » a stereo camera geometry for the determination of the three velocity components. The combination of the imaging and reconstruction subsystems makes the analysis of volumetric PIV domains feasible.« less
  • The ultimate goal of holographic particle image velocimetry (HPIV) is to provide space- and time-resolved measurement of complex flows. Recent new understanding of holographic imaging of small particles, pertaining to intrinsic aberration and noise in particular, has enabled us to elucidate fundamental issues in HPIV and implement a new HPIV system. This system is based on our previously reported off-axis HPIV setup, but the design is optimized by incorporating our new insights of holographic particle imaging characteristics. Furthermore, the new system benefits from advanced data processing algorithms and distributed parallel computing technology. Because of its robustness and efficiency, for themore » first time to our knowledge, the goal of both temporally and spatially resolved flow measurements becomes tangible. We demonstrate its temporal measurement capability by a series of phase-locked dynamic measurements of instantaneous three-dimensional, three-component velocity fields in a highly three-dimensional vortical flow--the flow past a tab.« less