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 mesh-based representation of phase space data using tessellation methods and test it in low-dimensional scenarios (n=3)
• (O2) Explore potential physics model comparisons enabled by the new technologies

Short-term Deliverables (6 months)

Distribution of the probability of quarks' existence based on the change in momentum

• (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);
  • software delivered to JLAB, May 2019: CRTC Image to Mesh Conversion Tools for CNF
  • Gagik regarding the generation of sequence of Tessellations? -- [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]
  • explore the option of generating graded meshes (by September).

• (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 to JLAB only

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