VHDL implementation of feature-extraction algorithm for the PANDA electromagnetic calorimeter

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Bibliographic Details
Title: VHDL implementation of feature-extraction algorithm for the PANDA electromagnetic calorimeter
Authors: Guliyev, E.1, Kavatsyuk, M. m.kavatsyuk@rug.nl, Lemmens, P.J.J.1, Tambave, G.1, Löhner, H.1
Source: Nuclear Instruments & Methods in Physics Research Section A. Feb2012, Vol. 664 Issue 1, p22-28. 7p.
Subjects: Algorithms, Calorimeters, Nuclear physics instruments, Spectrometers, VHDL (Computer hardware description language), Data acquisition systems
Abstract: Abstract: A simple, efficient, and robust feature-extraction algorithm, developed for the digital front-end electronics of the electromagnetic calorimeter of the PANDA spectrometer at FAIR, Darmstadt, is implemented in VHDL for a commercial 16 bit 100MHz sampling ADC. The source-code is available as an open-source project and is adaptable for other projects and sampling ADCs. Best performance with different types of signal sources can be achieved through flexible parameter selection. The on-line data-processing in FPGA enables to construct an almost dead-time free data acquisition system which is successfully evaluated as a first step towards building a complete trigger-less readout chain. Prototype setups are studied to determine the dead-time of the implemented algorithm, the rate of false triggering, timing performance, and event correlations. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:Abstract: A simple, efficient, and robust feature-extraction algorithm, developed for the digital front-end electronics of the electromagnetic calorimeter of the PANDA spectrometer at FAIR, Darmstadt, is implemented in VHDL for a commercial 16 bit 100MHz sampling ADC. The source-code is available as an open-source project and is adaptable for other projects and sampling ADCs. Best performance with different types of signal sources can be achieved through flexible parameter selection. The on-line data-processing in FPGA enables to construct an almost dead-time free data acquisition system which is successfully evaluated as a first step towards building a complete trigger-less readout chain. Prototype setups are studied to determine the dead-time of the implemented algorithm, the rate of false triggering, timing performance, and event correlations. [Copyright &y& Elsevier]
ISSN:01689002
DOI:10.1016/j.nima.2011.10.016