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.

Objectives

• (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]
  • CNF Tools
• (b) Generation of n-dimensional sequence of tessellations for numerical integration (by July 1); Gagik? -- [IN PROGRESS]
• (c) Use of n-dimensional tessellations for efficient sampling of physics model and generation of event distributions for physics analysis; Gagik? -- [IN PROGRESS]
• (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]
  • Imaging Demo using Paraview
  • Paraview Glance
• (e) Topical workshop including experts in imaging, exascale computing, uncertainty quantification, and nuclear physics to guide further developments (by Sept. 30). -- [IN PROGRESS]
  • Invited visitors and agenda is completed.
  • The CNF Imaging Workshop will take place on August 19 and 20 at JLab.

Restricted Access

• Shared box directory
• PODM Docker image source files
• CNF Tools website build files