Internal:CNF Workshop

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CNF Workshop

  1. 08/19/19 Presentations

Nikos Chrisochoides

  • Leverage from computational methods from medical imaging for processing phase space distributions in Nuclear Femtography
  • Enable next generation process simulations
  • Bring jobs to Virginia
  • “Usefulness of Useless Knowledge” by Flexner

Bob McKeown

  • Femtography 2019 ML & Revealing the internal structure of Nucelon & Nuclei
  • See pic JLab Mission
  • Nuclear Femtography
    • High luminosity
    • Polarized beams and targets
    • Sophisticated detector systems
  • Nature publications
    • Ultrafast Nucleons in Asymmetic Nuclei
    • …
  • Virginia Center for Nyclear Femtography
    • 7/14 joint lab/university initiatives funded
  • Proposed JLab electron Ion Collider (see pic)
  • EIC Users Group (see pic)
  • EICUG 2019
  • Current Status and Path forward of EIC (see pic
  • JLab has electron collider, NY Brookhaven has ion collider
    • Both need to construct the other half

Gail Dodge

  • Partnership between ODU and JLab in 90’s
  • 12 tenure track faculty
  • 6 JLab professors
  • ODU faculty intellectual leadership in research programs in JLab
  • Bring together scientists from different fields
  • ODU has hired ~6 data science faculty
  • Need help to learn how to involve people from different disciplines

David Richards

  • “Understanding the Glue That Binds Us All: The Next QCD Frontier in Nuclear Physics”
  • See slide 6 for those that submitted proposals
  • Synergy across fields
    • Astrophysics
    • Machine Learning
  • Call for proposal late September
    • External Evaluation Committee
  • CNF Symposium at ODU early 2020

Christian Weiss

  • Imaging technologies in computation
  • Subnuclear systems
    • Scales
    • Scattering experiments
  • Workflow inmeasurements
  • Tesselation
  • Scales
    • Organisms- Cells
    • Molecular - Atoms
    • Nuclear - Subnuclear
  • Mission: Explore subnuclear systems
    • Strong interaction : quarks,gluons
    • Understand proton neutron as emergent phenomena
  • Interest
    • Basic building blocks of matter
    • nuclear structure and reactions, nuclear energy
  • Subnuclear systems
    • Unusual dynamical system
    • Relativity: Energy = mass, conversion processes. Proton is ‘cauldron’ filled with radiation energy and matter/antimatter
    • Only average properties are measurable: densities,correlations
  • Scattering experiments
    • Electrons collide on protons
    • Scatterings are gathered from detectors
    • JLab 12GeV accelerators
    • Information Recorded:
      • Distribution based on type and momentum -> Phase space distributions
      • The “expression” of proton’s internal structure
      • 10^6 - 10^9 experiments in JLab
  • Workflow: Measurements
    • Theory: Model of proton structure (parameters that need to be verified experimentally)
    • Predicitions for scattering probabilities
    • Phase space distributions (meeting ground between theory and experiments)
    • Scattering Experiments -> Raw Data
    • Reconstruction baseed on the raw data
    • Modify theoretical model based on observations
    • "Final" picture of proton from synthesis of multiple experiments and theoretical models
  • Phase space distributions
    • Use imaging techniques(e.g tesselation)
    • 10^6 -10^9 experiments
    • View distributions, projections, cuts, features
    • Compare distributions
    • Interpolate refine distributions for simulations
    • With ODU
      • Tesselated representation
      • compact memory-efficient representations
      • Efficient interpolation/refinement for MC simulations
      • Visualize the gamma ray points that were detected by the detector + the density of energy
  • Proton Structure:
    • Imaging for vizualitation of subnuclear system
    • Image concept for relativistic quantum system
    • Synthetic image from theory and multiple experiments
    • Spatial size, internal motion of quarks
    • Tesselated representation

Ron Kikinis

  • 3D Slicer
  • Browser based versions
    • ohif.org
    • openanatomy.org
  • SlicerAstro
    • Use of Slicer3D in astronomy
  • Punzo et al 2015

Neurosurgery

  • In the past doctors would infer where the problem is by the symptoms. They would then open the brain and see if they were right
  • Now: Brain organization -> functional connectivity
  • Functional MRI measures blood flow
  • Diffusion Tensor Imaging the only method for imaging tensors
  • Combine fMRI with MEG or fMRI with MRI
  • VR to prepare for operation
  • AR to help annotate points of interest on the brain
    1. Steve Pieper - New software - Keep using the best software we have - Open source - Reproducible science - 3D Slicer with - Python - Tensorflow - Numpy, pandas, scipy… - Wrapper API - Extensions marketplace - VR Support - Remote Rendering - Jupyter Notebook support - OHIF Viewer - Browser based medical image viewer - VTK.js - Crowds-cure.org - GPU Segmentation (Grow cut algorithm)

Tina Kapur

  • Discourse Forum
  • Project Week Event
  • projectweek.na-mic.org

Andriy Fedorov

  • “Your source code is your data”, NVIDIA CEO
    • For reproducibility for example
  • National Cancer Institutr Quantitative Imaging Network
    • Goal: Transalte quantitative imaging methods and algorithms as clinical decision support tools into clinical utility
  • DICOM includes metadata that can help to interpret images
    • Unique identifiers
    • Helps to query your data
    • TCIA (Cancer Imaging Archive) :Collection of medical images
  • NCI Cancer Research Data Commons