Implementation of a neural network for digital pulse shape analysis on a FPGA for on-line identification of heavy ions-Reference-Cited by-同舟云学术

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Implementation of a neural network for digital pulse shape analysis on a FPGA for on-line identification of heavy ions

Published:2012-05 Issue: Volume:674 Page:99-104
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Jiménez R.,Sánchez-Raya M.,Gómez-Galán J.A.,Flores J.L.,Dueñas J.A.,Martel I.

Funder

Spanish Research Council under the contracts

Junta de Andalucía Research Council

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference17 articles.

1. Particle identification in solid-state detectors by means of pulse-shape analysis — results of computer simulations

2. Charge and current-sensitive preamplifiers for pulse shape discrimination techniques with silicon detectors

3. New digital techniques applied to A and Z identification using pulse shape discrimination of silicon detector current signals

4. A method for non-destructive resistivity mapping in silicon detectors

5. Description of current pulses induced by heavy ions in silicon detectors

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