Published November 2008
| Version v1
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Ann Modeling for Grey Particles Produced from Interactions of Different Projectiles with Emulsion Nuclei at 4.5 AGEV/C
- 1. Physics department, faculty of Science, Fayoum University Fayoum (Egypt)
- 2. physics department, faculty of Science, Ain Shams University Cairo (Egypt)
Description
Artificial Neural Network (ANN) is one of the important tools in high energy physics. In this paper, we are using ANN for modeling the multiplicity distributions of grey particles produced from interactions of P, 3He, 4He, 6Li, 12C, 24Mg, and 32S with emulsion nuclei, light nuclei (CNO), and heavy nuclei (Ag Br). The equations of these distributions were obtained
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Additional details
Publishing Information
- Imprint Title
- Proceeding of the Sixth Nuclear and Particle Physics Conference (NUPPAC-2007)
- Imprint Pagination
- 642 p.
- Journal Page Range
- p. 121-134
- Report number
- INIS-EG--214
Conference
- Title
- 6. Conference on Nuclear and Particle Physics
- Acronym
- NUPPAC 07
- Dates
- 17-21 Nov 2007
- Place
- Luxor (Egypt)
INIS
- Country of Publication
- Egypt
- Country of Input or Organization
- Egypt
- INIS RN
- 40081076
- Subject category
- S73: NUCLEAR PHYSICS AND RADIATION PHYSICS;
- Resource subtype / Literary indicator
- Conference, Numerical Data
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; BEAMS; CARBON 12; CHEMICAL COMPOSITION; ELASTIC SCATTERING; EMULSIONS; EXPERIMENTAL DATA; HEAVY NUCLEI; HELIUM 3; HELIUM 4; LITHIUM 6; MAGNESIUM 24; MULTIPLICITY; NEURAL NETWORKS; NUCLEAR EMULSIONS; SULFUR 32
- Descriptors DEC
- ALKALINE EARTH ISOTOPES; CARBON ISOTOPES; COLLOIDS; DATA; DISPERSIONS; EVEN-EVEN NUCLEI; EVEN-ODD NUCLEI; HELIUM ISOTOPES; INFORMATION; ISOTOPES; LIGHT NUCLEI; LITHIUM ISOTOPES; MAGNESIUM ISOTOPES; NUCLEI; NUMERICAL DATA; ODD-ODD NUCLEI; SCATTERING; STABLE ISOTOPES; SULFUR ISOTOPES