CNF:CNF
Project Description
We propose an interdisciplinary project to leverage advanced computational methods from medical imaging for processing phase space distributions in nuclear femtography experiments, with the aim to enable next-generation process simulations, data analyses, and physics model comparisons.
The objectives are: (O1) Implement an n-dimensional Exact Signed Euclidean Distance Transform for image-to-mesh conversion of phase space data; (O2) Implement an n-dimensional mesh-based representation of phase space data using tessellation methods and test it in low-dimensional scenarios (n=3); (O3) Explore potential physics model comparisons enabled by the new technologies.
Short-term deliverables (6 months):
(a) Post-processing of the output of the PARTONS GPD physics model for generation of NRDD/DICOM images and their segmentation (by July 1); -- DONE
(b) generation of n-dimensional sequence of tessellations for numerical integration (by July 1); Gagik?
(c) use of n-dimensional tessellations for efficient sampling of physics model and generation of event distributions for physics analysis; Gagik?
(d) experiment with 3D Slicer and Paraview open source imaging and visualization systems to display visual representations of the entire space and/or m-slices, with m < n (by Sept. 30); -- DONE
(e) topical workshop including experts in imaging, exascale computing, uncertainty quantification, and nuclear physics to guide further developments (by Sept. 30). -- Invited visitors and agenda is completed. The workshop will take place on August 19 and 20 at JLab.
Shared box directory (restricted access)
PODM Docker image source files (restricted access)
CNF Tools webite build files (restricted access)