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Virtual Reality and ALICE
By
Bjørn S. NilsenThe Ohio State University
On behalf of
Dennis Sessanna, Ohio Supercomputing Center
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Over View• Analysis
• Research and Development
• Simulation
• Engineering
• Education
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Analysis
• Large Data Sets
• Multi-Dimensional– At least 6 fundamental variables + uncertainties
– Hundreds of derived variables
– Large number of selection criteria
• Large number of different Analysis
– More than 40 particle types + combinations
– More than 6 general analysis techniques
Grid Computing
• No real advantage to use VR based system for seen
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Research&
Development
• Emphasis on performance– Mechanical, electrical, thermal, radiation– Suitability to do its specific physics task
• Quality control• Determining production problems• Simpler Engineering and Analysis
A much smaller/limited versionof the experiment
• Not much use for VR system
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
SimulationPhysics
• Help to determine possible physics goals
• Set and verify design requirements for meet physics goals
• Develop basic analysis procedures
• Measure and correct for inefficiencies– In the detector itself
– In the analysis
• Similar to Analysis – Not a VR candidate
• Has many similarities to VR computing
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Physics SimulationsParticle Transport
• Full volumetric representation of detector
• Precision in geometry definitions Fast
• navigation through volumes
• Ray-tracing to & through volumes even for curved rays
• Full volumetric representation of detector
• Precision in geometry definitions
• Fast navigation through volumes
• Ray-tracing to & through volumes
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Engineering• Design
– All of the pieces must fit together– The detector needs to be assembled
• Analysis (Simulation)– Structural analysis (static and dynamic)
• Strains and stresses must be within tolerances• Deformation must be within physics
requirements
– Thermal and Electrical• Heat generated must be removed• Temperatures must be within limits set by
detectors…• Electrical system either need to be grounded or
floating
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
EngineeringDesignAssembly
The ability to view both the whole and parts of the detector, manipulate, and view from many different positions (even through other objects) is invaluable
Parts are being designed at many dozens of places around the world each using their preferred design system (CAD…)
The ability to move pieces around to see how to assemble each piece into the whole
For example, in the ITS we have build at least 2 full size mock ups of this sub-detector just to figure out where to run the cables & cooling lines, and how to install the ITS in the larger ALICE detector
VR will simplify and speed up such work
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
EngineeringAnalysis (Simulation)
In engineering simulation, one is always needing to relate stresses, temperatures, deformations, to the physical objects them selves and their neighbors.
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Education
• Our first use of a full VR system has been for public education about the ALICE detector.– The quality of the data
does not need to be the best
– Minimal software modifications required
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
VR System Used• VRML files taken from existing CAD files
– OpenScenegraph– 3dsMax / OSGExp
• Good Quality PC with fast disk– Dell Computer, Dual 2.3 GHz Xeon, 1GB Ram
• nVIDIA Quadro 3000 Graphics Card• Nvis Stereo Head Mount Display-1280X1024/eye
• Intersense IS-900 Tracking System– 3x3 m2 tracking area– Wireless wand and head tracker
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Other VR system in development/use
• Epidural Simulator
• Tractor Rollover Simulation– Fastrack tracking system
– Virtual-IO force feedback steering wheel
– John Deere – 8400 tractor seat
– Virtual Technologies – 18 sensor gloves
– Biopac monitoring equipment
• Functional Endoscopic Sinus Surgery– Immersion Corporation
• Microscribe - endoscope
• 4DOF force feedback – forceps
– Monitor
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Temporal Bone Dissection Simulation
Prototype System• Onyx2 IR2 – 64 MB Texture memory• Virtual Research V8 Binoculars• SensAble PHANToM 1.5• SensAble PHANToM Desktop• Computer Speaker• OpenGL• GhostSDK
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Additional• Supply high performance and large cluster
computers to researchers though the state of Ohio– Cray SV1ex, SunFire 6800, Pentium 4
Cluster, Itanium 2 cluster
• Provide facilities for Video conferencing & Advance Learning Environment– BALE multimedia conference room– Access Grid equipped conference rooms
• State wide software license program
October 26 2004 Presented at MIMOS 2004, Bjorn S. Nilsen The Ohio State Univerity
Conclusions
• VR is not useful every where, Physics Analysis
• We are already finding it extremely useful and successful in our outreach activities
• VR should find a useful place in Engineering and similar geometry intensive fields
• Our limited experience with VR has us already asking for more.