Integrating Visualization Applications, such as ParaView, into HEP Software Frameworks for In-situ Event Displays

Lyon, A. L.; Kowalkowski, J. B.; Jones, C. D.

doi:10.1088/1742-6596/898/7/072041

Title: Integrating Visualization Applications, such as ParaView, into HEP Software Frameworks for In-situ Event Displays

Abstract

ParaView is a high performance visualization application not widely used in High Energy Physics (HEP). It is a long standing open source project led by Kitware and involves several Department of Energy (DOE) and Department of Defense (DOD) laboratories. Futhermore, it has been adopted by many DOE supercomputing centers and other sites. ParaView is unique in speed and efficiency by using state-of-the-art techniques developed by the academic visualization community that are often not found in applications written by the HEP community. In-situ visualization of events, where event details are visualized during processing/analysis, is a common task for experiment software frameworks. Kitware supplies Catalyst, a library that enables scientific software to serve visualization objects to client ParaView viewers yielding a real-time event display. Connecting ParaView to the Fermilab art framework will be described and the capabilities it brings discussed.

Authors:

Lyon, A. L. ^[1]; Kowalkowski, J. B. ^[1]; Jones, C. D. ^[1]

Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)

Publication Date:: Sun Oct 01 00:00:00 EDT 2017

Research Org.:: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

OSTI Identifier:: 1423234

Report Number(s):: FERMILAB-CONF-17-646-CD
Journal ID: ISSN 1742-6588; 1638566

Grant/Contract Number:: AC02-07CH11359

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Physics. Conference Series

Additional Journal Information:: Journal Volume: 898; Journal Issue: 7; Conference: 22nd International Conference on Computing in High Energy and Nuclear Physics, San Francisco, CA, 10/10-10/14/2016; Journal ID: ISSN 1742-6588

Publisher:: IOP Publishing

Country of Publication:: United States

Language:: English

Subject:: 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Lyon, A. L., Kowalkowski, J. B., and Jones, C. D. Integrating Visualization Applications, such as ParaView, into HEP Software Frameworks for In-situ Event Displays.  United States: N. p., 2017. 
Web.  doi:10.1088/1742-6596/898/7/072041.

Copy to clipboard


                    Lyon, A. L., Kowalkowski, J. B., & Jones, C. D. Integrating Visualization Applications, such as ParaView, into HEP Software Frameworks for In-situ Event Displays.  United States.  https://doi.org/10.1088/1742-6596/898/7/072041

Copy to clipboard


                    Lyon, A. L., Kowalkowski, J. B., and Jones, C. D. Sun .  
"Integrating Visualization Applications, such as ParaView, into HEP Software Frameworks for In-situ Event Displays".  United States.  https://doi.org/10.1088/1742-6596/898/7/072041.  https://www.osti.gov/servlets/purl/1423234.

Copy to clipboard


                    
@article{osti_1423234,

  title        = {Integrating Visualization Applications, such as ParaView, into HEP Software Frameworks for In-situ Event Displays},

  author       = {Lyon, A. L. and Kowalkowski, J. B. and Jones, C. D.},

  abstractNote = {ParaView is a high performance visualization application not widely used in High Energy Physics (HEP). It is a long standing open source project led by Kitware and involves several Department of Energy (DOE) and Department of Defense (DOD) laboratories. Futhermore, it has been adopted by many DOE supercomputing centers and other sites. ParaView is unique in speed and efficiency by using state-of-the-art techniques developed by the academic visualization community that are often not found in applications written by the HEP community. In-situ visualization of events, where event details are visualized during processing/analysis, is a common task for experiment software frameworks. Kitware supplies Catalyst, a library that enables scientific software to serve visualization objects to client ParaView viewers yielding a real-time event display. Connecting ParaView to the Fermilab art framework will be described and the capabilities it brings discussed.},

  doi          = {10.1088/1742-6596/898/7/072041},

  journal      = {Journal of Physics. Conference Series},

  number       = 7,

  volume       = 898,

  place        = {United States},

  year         = {Sun Oct 01 00:00:00 EDT 2017},

  month        = {Sun Oct 01 00:00:00 EDT 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.1088/1742-6596/898/7/072041

Other availability

Search WorldCat to find libraries that may hold this journal

Figures / Tables:

Figure 1: A comparison of the Geant4 calorimeter geometry (red) and the 3D Inventor model (grey and blue). A misplacement of the calorimeter is clearly visible.

All figures and tables (5 total)

Save / Share:

Export Metadata

Save to My Library

Figures / Tables found in this record:

Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.

Similar Records in DOE PAGES and OSTI.GOV collections:

RVA. 3-D Visualization and Analysis Software to Support Management of Oil and Gas Resources

Technical Report Keefer, Donald A. ; Shaffer, Eric G. ; Storsved, Brynne ; ...

A free software application, RVA, has been developed as a plugin to the US DOE-funded ParaView visualization package, to provide support in the visualization and analysis of complex reservoirs being managed using multi-fluid EOR techniques. RVA, for Reservoir Visualization and Analysis, was developed as an open-source plugin to the 64 bit Windows version of ParaView 3.14. RVA was developed at the University of Illinois at Urbana-Champaign, with contributions from the Illinois State Geological Survey, Department of Computer Science and National Center for Supercomputing Applications. RVA was designed to utilize and enhance the state-of-the-art visualization capabilities within ParaView, readily allowing jointmore »« less
https://doi.org/10.2172/1238338

Full Text Available
Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Final Report

Technical Report Williams, Dean N.

A partnership across government, academic, and private sectors has created a novel system that enables climate researchers to solve current and emerging data analysis and visualization challenges. The Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) software project utilizes the Python application programming interface (API) combined with C/C++/Fortran implementations for performance-critical software that offers the best compromise between "scalability" and “ease-of-use.” The UV-CDAT system is highly extensible and customizable for high-performance interactive and batch visualization and analysis for climate science and other disciplines of geosciences. For complex, climate data-intensive computing, UV-CDAT’s inclusive framework supports Message Passing Interface (MPI) parallelism as wellmore »« less
https://doi.org/10.2172/1136155

Full Text Available
Collaborative Visualization for Large-Scale Accelerator Electromagnetic Modeling (Final Report)

Technical Report Schroeder, William J

This report contains the comprehensive summary of the work performed on the SBIR Phase II, Collaborative Visualization for Large-Scale Accelerator Electromagnetic Modeling at Kitware Inc. in collaboration with Stanford Linear Accelerator Center (SLAC). The goal of the work was to develop collaborative visualization tools for large-scale data as illustrated in the figure below. The solutions we proposed address the typical problems faced by geographicallyand organizationally-separated research and engineering teams, who produce large data (either through simulation or experimental measurement) and wish to work together to analyze and understand their data. Because the data is large, we expect that it cannotmore »« less
https://doi.org/10.2172/1029125

Full Text Available
RVA: A Plugin for ParaView 3.14

Software

RVA is a plugin developed for the 64-bit Windows version of the ParaView 3.14 visualization package. RVA is designed to provide support in the visualization and analysis of complex reservoirs being managed using multi-fluid EOR techniques. RVA, for Reservoir Visualization and Analysis, was developed at the University of Illinois at Urbana-Champaign, with contributions from the Illinois State Geological Survey, Department of Computer Science and National Center for Supercomputing Applications. RVA was designed to utilize and enhance the state-of-the-art visualization capabilities within ParaView, readily allowing joint visualization of geologic framework and reservoir fluid simulation model results. Particular emphasis was placed onmore »« less
View Software
Langston University - High Energy Physics (LU-HEP)

Technical Report Snow, Dr., Joel

This final report is presented by Langston University (LU) for the project entitled "Langston University High Energy Physics" (LUHEP) under the direction of principal investigator (PI) and project director Professor Joel Snow. The project encompassed high energy physics research performed at hadron colliders. The PI is a collaborator on the DZero experiment at Fermi National Accelerator Laboratory in Batavia, IL, USA and the ATLAS experiment at CERN in Geneva, Switzerland and was during the entire project period from April 1, 1999 until May 14, 2012. Both experiments seek to understand the fundamental constituents of the physical universe and the forcesmore »« less
https://doi.org/10.2172/1048139

Full Text Available

Similar Records