A NEURAL METHOD FOR DETERMINING ELECTROMAGNETIC SHOWER POSITIONS IN LATERALLY SEGMENTED CALORIMETERS

Authors
ROY A RAY A MITRA T ROY A
Citation
A. Roy et al., A NEURAL METHOD FOR DETERMINING ELECTROMAGNETIC SHOWER POSITIONS IN LATERALLY SEGMENTED CALORIMETERS, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 364(3), 1995, pp. 524-530
Citations number
7
Categorie Soggetti
Nuclear Sciences & Tecnology","Physics, Particles & Fields","Instument & Instrumentation",Spectroscopy
Journal title
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment → ACNP
ISSN journal
01689002
Volume
364
Issue
3
Year of publication
1995
Pages
524 - 530
Database
ISI
SICI code
0168-9002(1995)364:3<524:ANMFDE>2.0.ZU;2-X
Abstract
A method based on a neural network technique is proposed to calculate the coordinates of an incident photon striking a laterally segmented c alorimeter and depositing shower energies in different segments. The t echnique uses a multilayer perceptron trained by back-propagation impl emented through standard gradient descent followed by conjugate gradie nt algorithms and has been demonstrated with GEANT simulations of a BA F2 detector array. The position resolution results obtained by using t his method are found to be substantially better than the first moment method with logarithmic weighting.