Catalogo Articoli (Spogli Riviste)
OPAC HELP
Titolo: APPLICATION OF A NEURAL-NETWORK SIMULATION TO THE MODELING OF THE COMPTEL BACKGROUND
Autore: VARENDORFF M; FORREST D; MCCONNELL M; RYAN J;
- Indirizzi:
- MAX PLANCK INST EXTRATERR PHYS,GIESSENBACHSTR D-85740 GARCHING GERMANY UNIV NEW HAMPSHIRE,CTR SPACE SCI DURHAM NH 03824
- Titolo Testata:
- Astronomy & Astrophysics. Supplement series
fascicolo: 4,
volume: 120,
anno: 1996,
pagine: 699 - 702
- SICI:
- 0365-0138(1996)120:4<699:AOANST>2.0.ZU;2-7
- Fonte:
- ISI
- Lingua:
- ENG
- Keywords:
- GAMMA-RAYS, OBSERVATIONS; ATMOSPHERIC EFFECT; INSTRUMENTATION, DETECTORS;
- Tipo documento:
- Article
- Natura:
- Periodico
- Settore Disciplinare:
- Science Citation Index Expanded
- Citazioni:
- 4
- Recensione:
- Indirizzi per estratti:
-
-
-
- Citazione:
- M. Varendorff et al., "APPLICATION OF A NEURAL-NETWORK SIMULATION TO THE MODELING OF THE COMPTEL BACKGROUND", Astronomy & Astrophysics. Supplement series, 120(4), 1996, pp. 699-702
Abstract
COMPTEL onboard the Compton Gamma Ray Observatory (CGRO) measures gamma-rays in the background dominated energy range from 750 keV to 30 MeV. The event rate of the background varies strongly with orbital parameters, such as cut-off rigidity, position of the earth in the field ofview and location of the spacecraft above the earth. Some, but not all, parameters can be modelled with analytic functions. A Neural Network Simulation with two hidden layers of 24 neurons each, ten input neurons and one output neuron, was applied to the data. For the training of the Neural Network an error backpropagation algorithm was used. The resulting model was tested on an independent dataset, and the relativeimportance of the orbital parameters on the background model was derived.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/03/24 alle ore 01:17:07