Data Management: Difference between revisions
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[[File:CDT3D_pipeline.png]] | |||
== Next-generation imaging filters and mesh-based data representation for phase-space calculations in nuclear femtography == | |||
<gallery heights=300px widths=300px mode="packed-hover" caption="Tomographic pictures of the nucleon"> | |||
File:Paraview_plot.png|350px| | |||
</gallery> | |||
Tomographic and recently aquired and tessellated pictures of the nucleon as a result of this project. Namely, the plots show a spatial distribution of up quarks as a function of proton's momentum fraction carried by those quarks. Specifically, bX and bY are the spatial coordinates (in 1/GeV = 0.197 fm) defined in a plane perpendicular to the nucleon’s motion, x is the fraction of proton’s momentum and color denotes probability density for finding a quark at given (bX, bY, x). | |||
Plots produced by Dr. Gagik Gavalian and Dr. Pawel Sznajder and tesselated by CRTC's Image-to-Mesh (I2M) conversion software deployed to Jefferson Lab last month. | |||
'''For more data and information about this project follow this link: [[CNF]]''' | |||
== Telescopic Approach == | |||
<gallery heights=600px widths=600px mode="packed-hover" caption="The telescopic approach of CRTC lab"> | |||
File:New_Telescopic_Approach.png|600px| | |||
</gallery> | |||
The project aims at investigating the design and implementation of multi-layered algorithmic and software framework for 3D tetrahedral parallel mesh generation. The framework is referred as the [[Telescopic Approach]] | |||
== Exascale-Era Finite Element Mesh Generation == | |||
[[File:CDT3D_pipeline.png |800px]] | |||
== Boundary Recovery == | == Boundary Recovery == | ||
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== Anisotropic Mesh Generation == | == Anisotropic Mesh Generation == | ||
[[ | [[Anisotropic Mesh Generation]] | ||
== Runtime Systems == | == Runtime Systems == | ||
[[ | [[Runtime Systems]] | ||
== Particle Trajectory Tracking with ML == | |||
[[CNF:Machine_Learning | Machine Learning for Track Classification and Prediction]] | |||
[[CNF:ML_Data_Denoise | Machine Learning for Track Denoising]] | |||
Latest revision as of 19:35, 3 November 2020
Next-generation imaging filters and mesh-based data representation for phase-space calculations in nuclear femtography
- Tomographic pictures of the nucleon
-
Tomographic and recently aquired and tessellated pictures of the nucleon as a result of this project. Namely, the plots show a spatial distribution of up quarks as a function of proton's momentum fraction carried by those quarks. Specifically, bX and bY are the spatial coordinates (in 1/GeV = 0.197 fm) defined in a plane perpendicular to the nucleon’s motion, x is the fraction of proton’s momentum and color denotes probability density for finding a quark at given (bX, bY, x).
Plots produced by Dr. Gagik Gavalian and Dr. Pawel Sznajder and tesselated by CRTC's Image-to-Mesh (I2M) conversion software deployed to Jefferson Lab last month.
For more data and information about this project follow this link: CNF
Telescopic Approach
- The telescopic approach of CRTC lab
-
The project aims at investigating the design and implementation of multi-layered algorithmic and software framework for 3D tetrahedral parallel mesh generation. The framework is referred as the Telescopic Approach
Exascale-Era Finite Element Mesh Generation
