Modeling and simulation of a readout architecture for pixel detectors

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This paper analyzes in detail some theoretical aspects in the modeling of a proposed readout architecture for pixel detectors. The readout architecture is designed for a chip containing about 3000 pixels of 50{micro}m x 400{micro}m. The main objective is to get the maximum pixel hit readout with the minimum probability of hit loss. The readout architecture is modeled as a Marcov stochastic process. The pixel front-end and readout are simulated and tested with Montecarlo data. The simulations allow to optimize the communication channel bandwidths and local buffering. The probability of system overflow of the simulated system is confronted with the ... continued below

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Zimmermann, Gustavo Cancelo and Sergio November 1, 1998.

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Description

This paper analyzes in detail some theoretical aspects in the modeling of a proposed readout architecture for pixel detectors. The readout architecture is designed for a chip containing about 3000 pixels of 50{micro}m x 400{micro}m. The main objective is to get the maximum pixel hit readout with the minimum probability of hit loss. The readout architecture is modeled as a Marcov stochastic process. The pixel front-end and readout are simulated and tested with Montecarlo data. The simulations allow to optimize the communication channel bandwidths and local buffering. The probability of system overflow of the simulated system is confronted with the one obtained by modeling.

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108 Kilobytes

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  • Nuclear Science Symposium 98, Toronto, Canada, November 8-14, 1998

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  • Other: DE00002158
  • Report No.: FERMILAB-Conf-98/355-E
  • Grant Number: NONE
  • Office of Scientific & Technical Information Report Number: 2158
  • Archival Resource Key: ark:/67531/metadc668615

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  • November 1, 1998

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  • June 29, 2015, 9:42 p.m.

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  • April 18, 2016, 3:25 p.m.

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Zimmermann, Gustavo Cancelo and Sergio. Modeling and simulation of a readout architecture for pixel detectors, article, November 1, 1998; Batavia, Illinois. (digital.library.unt.edu/ark:/67531/metadc668615/: accessed September 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.