Difference between revisions of "CNF"

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(Restricted Access (available to CNF Imaging Project i.e., CRTC/JLAB only))
(Restricted Access (available to CNF Imaging Project i.e., CRTC/JLAB only))
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* [https://git-community.cs.odu.edu/aangelop/PODM-Superbuild PODM Docker image source files]  
* [https://git-community.cs.odu.edu/aangelop/PODM-Superbuild PODM Docker image source files]  
* [https://git-community.cs.odu.edu/ctsolakis/cnf_website CNF Tools website build files]
* [https://git-community.cs.odu.edu/ctsolakis/cnf_website CNF Tools website build files]
* [[CNF:Machine Learning]]
[[CNF:Machine Learning]]
* [[CNF:Mesh Sizing for CNF data]]
[[CNF:Mesh Sizing for CNF data]]
* https://www.jlab.org/indico/event/335/
* https://www.jlab.org/indico/event/335/

Latest revision as of 11:38, 9 October 2019

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.


  • (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); -- [DONE]
      • software delivered to JLAB, May 2019: CRTC Image to Mesh Conversion Tools for CNF.
      • software developed at JLAB to transform physics observable grids generated by PARTONS framework to data format used by ODU provided software.
    • (c) Use of Tesselation software gives ability to view and analyze physics observables in a new way with modern tools. It also allows for fast, efficient Monte-Carlo generation of physics observables for event generation from tesselated objects. Computation of proton structures and physics observables are otherwise very computationally extensive. -- [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]
    • (e) Topical workshop including experts in imaging, exascale computing, uncertainty quantification, and nuclear physics to guide further developments (by Sept. 30). -- [DONE]
      • Invited visitors and agenda is completed.
      • The CNF Imaging Workshop took place on August 19th and 20th at JLab.
  • Restricted Access (available to CNF Imaging Project i.e., CRTC/JLAB only)