Published December 2000
| Version v1
Book
Multifractal and wavelet parameter classification of Cerenkov images: a comparative study using artificial neural networks (ANN)
Creators
- 1. Nuclear Research Lab., Bhabha Atomic Research Centre, Mumbai (India)
- 2. Forschunszentrun, Karlsruhe (Germany)
Description
We make a comparative study of the classification potential of various image and non-image parameters of simulated γ-ray and cosmic ray Cerenkov images using ANN. We conclude that multifractal and wavelet moments provide powerful supplementary parameters for characterising these events. (author)
Additional details
Publishing Information
- Publisher
- Bhabha Atomic Research Centre
- Imprint Place
- Mumbai (India)
- Imprint Title
- International symposium on nuclear physics. V. 43B
- Imprint Pagination
- 605 p.
- Journal Page Range
- p. 510-511
Conference
- Title
- International symposium on nuclear physics
- Dates
- 18-22 Dec 2000
- Place
- Mumbai (India)
INIS
- Country of Publication
- India
- Country of Input or Organization
- India
- INIS RN
- 32063298
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CHERENKOV COUNTERS; GAMMA RADIATION; IMAGE PROCESSING; NEURAL NETWORKS; SIMULATION; SPECIFICATIONS; TEV RANGE 10-100
- Descriptors DEC
- ELECTROMAGNETIC RADIATION; ENERGY RANGE; IONIZING RADIATIONS; MEASURING INSTRUMENTS; PROCESSING; RADIATION DETECTORS; RADIATIONS; TEV RANGE
Optional Information
- Notes
- 3 refs., 1 fig.