Published December 31, 2000
| Version v1
Miscellaneous
A Neural Network for Off-Line Z Classification and Energy Calibration
Description
In this work a neural network has been used to reconstruct the residual energy after the first stage and classify the atomic number of the particles detected in a Silicon-CsI triangleE-E telescope. The adopted net is described and the whole procedure has been compared with the standard calibration methods for the E stage
Availability note (English)
Available from American Institute of Physics, Melville, NY (US)Additional details
Publishing Information
- ISBN
- 1-56396-929-7
- Imprint Pagination
- 4 p.
- ISSN
- 0094-243X
Conference
- Title
- VI Regional CRRNSM Conference
- Acronym
- Nuclear and Condensed Matter Physics
- Dates
- 14-15 Oct 1999
- Place
- Palermo (Italy)
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 32046183
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Resource subtype / Literary indicator
- Conference, Non-conventional Literature
- Descriptors DEI
- ATOMIC NUMBER; CALIBRATION; CESIUM IODIDES; CLASSIFICATION; NEURAL NETWORKS; SI SEMICONDUCTOR DETECTORS; TELESCOPE COUNTERS
- Descriptors DEC
- ALKALI METAL COMPOUNDS; CESIUM COMPOUNDS; HALIDES; HALOGEN COMPOUNDS; INORGANIC PHOSPHORS; IODIDES; IODINE COMPOUNDS; MEASURING INSTRUMENTS; PHOSPHORS; RADIATION DETECTORS; SEMICONDUCTOR DETECTORS