Published November 15, 1993
| Version v1
Journal article
Filtering data from a drift-chamber detector using neural networks
- 1. Royal Inst. of Tech., Dept. of Physics (Frescati), Stockholm (Sweden)
- 2. Inst. of Nuclear Research, Debrecen (Hungary)
- 3. Ostfold Coll., Halden (Norway)
Description
This paper describes the implementation of an analog neural network chip (Intel 80170NX ETANN) to filter a multi-signal read-out from flash-ADCs used in a liquid argon time projection chamber (ICARUS). The training and subsequent testing of the network is discussed in some detail. A network consisting of multiple sub-networks is proposed to perform signal filtering, determination of peak position and track finding. (orig.)
Additional details
Publishing Information
- Journal Title
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Journal Volume
- 336
- Journal Issue
- 1-2
- Journal Page Range
- p. 285-290.
- ISSN
- 0168-9002
- CODEN
- NIMAER
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- Netherlands
- INIS RN
- 25019021
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- ANALOG SYSTEMS; ANALOG-TO-DIGITAL CONVERTERS; ARGON; DATA PROCESSING; DRIFT CHAMBERS; FOURIER TRANSFORMATION; LIQUID PROPORTIONAL COUNTERS; LIQUIDS; MAXIMUM-LIKELIHOOD FIT; PARTICLE TRACKS; PEAKS; TIME PROJECTION CHAMBERS
- Descriptors DEC
- ELECTRONIC EQUIPMENT; ELEMENTS; EQUIPMENT; FLUIDS; INTEGRAL TRANSFORMATIONS; MEASURING INSTRUMENTS; MULTIWIRE PROPORTIONAL CHAMBERS; NONMETALS; NUMERICAL SOLUTION; PROPORTIONAL COUNTERS; RADIATION DETECTORS; RARE GASES; TRANSFORMATIONS