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Beam Path Ananysis
Analysis of the temporal evolution of particle bunches is essential for the understanding of how particle beams are formed and accelerated in a laser wakefield accelerator. VACET scientists are developing tools for automatic detection of particle beams in laser wakefield particle accelerator simulation data and classification of their temporal behavior. The project aims to use the complete temporal history of the particles to enable more accurate beam classification.

This image shows two particle bunches (color) detected automatically by the beam path analysis in a large 3D data set. A volume rendering of the plasma density (gray) shows the structure of the plasma wave, illustrating the location of the two bunches within the wave.

A radial slice of a CASTRO calculation shown on the "globe display" at the LBNL booth at SC09.

Image, created by VACET, from a movie of CASTRO simulation output for Adam Burrow's team showing the variable entropy.

Image, created by VACET, from a movie of CASTRO simulation output for Adam Burrow's team showing the variable Ye.

Image, created by VACET, from a movie of CASTRO simulation output for Adam Burrow's team showing radial velocity.

Video Clip (3.1MB)
Analysis of laser wakefield particle acceleration data is a challenging task. Our approach combines and extends techniques from high performance scientific data management and visualization, enabling researchers to gain insight from extremely large, complex, time-varying laser wakefield accelerator simulation data. We extend histogram-based parallel coordinates which we use as visual information display and interface for guiding and performing data mining operations. We use multi-dimensional thresholding as vehicle for selecting particles of interest at a particular timepoint. We use FastBit, a state-of-the-art index/query system for data extraction and subsettingis of laser wakefield particle acceleration data is a challenging task. Our approach combines and extends techniques from high performance scientific data management and visualization, enabling researchers to gain insight from extremely large, complex, time-varying laser wakefield accelerator simulation data. We extend histogram-based parallel coordinates which we use as visual information display and interface for guiding and performing data mining operations. We use multi-dimensional thresholding as vehicle for selecting particles of interest at a particular timepoint. We use FastBit, a state-of-the-art index/query system for data extraction and subsetting. Gunther H. Weber.

Video Clip (4.8MB)

This image shows a proton beam moving along the beam pipe (z-axis) in the presence of an electron cloud. The proton beam is shown in red in the center of the pipe. A. Adelmann, PSI.

Video Clip (5.5MB)

Electron Cloud simulation with electrons and protons rendered as particles. A. Adelmann, PSI.

Video Clip (5.7MB)

Electron Cloud simulation with electrons rendered as volume density and protons rendered as particles. A. Adelmann, PSI.

Electron Cloud simulation: trajectories of electrons as the simulation progresses rendered as splines colored by the magnitude of the velocity. A. Adelmann, PSI.

Electron Cloud simulation: trajectories of electrons as the simulation progresses rendered as splines colored by the magnitude of the velocity. A. Adelmann, PSI.

Tracking particles along a beam line. A. Adelmann, PSI.

Tracking particles along a beam line. A. Adelmann, PSI.

Tracking particles along a beam line. A. Adelmann, PSI.

Video Clip (32MB)

The heightfield represents particle density from a VORPAL dataset of a laser wakefield acceleration. The spheres are individual particles whose velocity exceeds a certain threshold. Since we only had access to a single timestep of data, we randomly perturbed the heightfield and spheres to show we can handle time-varying datasets. T. Ize, SCI. Data data provided by Tech-X corporation and Peter Messmer.