e. e. Norman Graf (SLAC) for the LCD development team. CHEP '04 Interlaken, Switzerland Sep. 30, 2004. Full Event Reconstruction in Java. (“From 0 to analysis in 15 minutes”). International Linear Collider (ILC).
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Norman Graf (SLAC)
for the LCD development team
Interlaken, Switzerland Sep. 30, 2004
Full Event Reconstruction in Java
(“From 0 to analysis in 15 minutes”)
Ease with which physicist having an idea can implement and test its effect!
design simulate reconstruct analyze
2confusion is the hardest term, cannot be correctly simulated with fast 4-vector smearing. Needs detailed calorimeter shower simulation and reconstruction to understand.
dense, small Moliere radius
laterally (~30-40 layers)
longitudinally (~5x5 mm2)
emphasize segmentation & granularity over intrinsic resolution.
TPC Tracker, Si Disks, CCD VTX
All Si Tracker, CCD VTX
as Drivers with hooks, e.g.:
Drivers implement Processor interface, so can be nested.
G4 Detector Simulation Input
SimTrackerHits, SimCalorimeterHits, MCParticles
Sequential Record Loop
Detector Digitization/ Hit Finding
CCD Pixels, Si strips*, TPC waveform*
Tracker hit clustering, uncertainty assignment
Standalone 3D trackfinding (e.g. TPC, CCD)
Track merging, fitting
“Nearest” Neighbor, MST*, Fuzzy*
Cluster Particle ID (e.g. , , h±, h0)
Event contains some predefined collection hooks,
Arbitrary objects can be added to/retrieved from Event
Jet-Finding, Flavor Tagging
ZVTop vertexing, NN Flavor Tagging (b, c, uds)*
LCIO (Tracks, Clusters, ReconstructedParticles…)
AIDA (tuples, histograms)
HexagonsTiling Forward Disks
Histogram & ntuple analysis, fittingJAS3 IDE
Java, Python, Pnuts editor
Dataset, Program, AIDA Explorer
Picking supports viewing physics attributesWIRED Event Display
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402 - Writing Extension Modules (Plug-ins) for JAS3, Mark Dönszelmann