Tracking and vertex finding with drift chambers and neural networks

Conference · Sun Sep 01 00:00:00 EDT 1991

OSTI ID:5206483

Lindsey, C

Finding tracks, track vertices and event vertices with neural networks from drift chamber signals is discussed. Simulated feed-forward neural networks have been trained with back-propagation to give track parameters using Monte Carlo simulated tracks in one case and actual experimental data in another. Effects on network performance of limited weight resolution, noise and drift chamber resolution are given. Possible implementations in hardware are discussed. 7 refs., 10 figs.

• Research Organization: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE; USDOE, Washington, DC (United States)
• DOE Contract Number: AC02-76CH03000
• OSTI ID: 5206483
• Report Number(s): FNAL/C-91/241; CONF-9106281-1; ON: DE92000472
• Resource Relation: Conference: Workshop on neural networks: from biology to high energy physics, Isola d'Elba (Italy), 5-14 Jun 1991
• Country of Publication: United States
• Language: English

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
DRIFT CHAMBERS
NEURAL NETWORKS
MUONS
PARTICLE TRACKS
COMPUTER ARCHITECTURE
MONTE CARLO METHOD
ELEMENTARY PARTICLES
FERMIONS
LEPTONS
MEASURING INSTRUMENTS
MULTIWIRE PROPORTIONAL CHAMBERS
PROPORTIONAL COUNTERS
RADIATION DETECTORS
440104* - Radiation Instrumentation- High Energy Physics Instrumentation
990200 - Mathematics & Computers