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:
-
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Publication Date:
- 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.
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
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.
@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}
}
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