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.

A detailed list of results for CNF cases received from JLAB are presented here: Example Meshes

Objectives of SURA CNF19-04 Project

• (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 Software Suite.
  • software developed at JLAB to transform physics observable grids generated by PARTONS framework to the data format used by ODU provided software.

• (c) Use of Tesselation software gives the 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 tessellated 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]
  • 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). -- [DONE]
  • Invited visitors and agenda is completed.
  • The CNF Imaging Workshop took place on August 19th and 20th at JLab.
• (f) CNF mesh examples

Smart look-up tables

Objective: “smart 3-dimensional lookup table” based on adaptive mesh-based tessellated representation of the CFFs for efficient evaluation of Monte Carlo simulations (Gavalian/Hyde/Physics Grad. Student) Agenda (May 22, 2020):

1. Kevin needs to get the I2M Docker and become familiar with its usage (Michell/Spiros)
2. get to know the team: Michell (Physics) and the CS students that will be assisting in the API for the tessellation (Spiros) and ParaView for Visualization (Kevin)
3. setup a proposal for a time table for this aspect of the project (Michell/Charles) it will be fine-tuned and finalized in the first official meeting
4. talk about the wiki page we need to set up for our weekly reports (Michell/Spiros/Kevin)

Weekly Reports

1. Week May 25 - 30:
   1. Spiros: Smooth transition Michell to use CRTC I2M conversion
   2. Michell: Comfortable using CRTC's I2M conversion Docker, User Guided, read VTK tessellation file, etc..
   3. Kevin: Identify with Michell 3D ParaView Plugins that we might need to display resutls
   4. Charles: Identify problem(s) to be addressed with the UVA and PARTON models
   5. Charles/Chistian/Gagik: examples of target Journals we want to consider for paper submission
      1. Sprios will help to maintain links
   6. Gagik: TBD

Restricted Access (available to CNF Imaging Project i.e., CRTC/JLAB only)

• Shared box directory
• PODM Docker image source files
• CRTC_I2M_Suite website build files
• CNF:Machine Learning
• CNF:Mesh Sizing for CNF data

• https://www.jlab.org/indico/event/335/
• Video of meshing procedure