A Log-Normal Distribution Model for Electron Multiplying Detector Signals in Charged Particle Beam Equipments(General Fundamentals and Boundaries)

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概要

• 論文の詳細を見る

• We propose a stochastic model for signals generated through the electron multiplying effect of detectors in charged particle beam equipments. This model is based on a stochastic variable characterized by a log-normal type distribution. The model is simple and can be used to represent a wide dynamic range of signals from pulse-like signals when the primary beam current is small to continuous signals when the primary beam current is large. For the model base reference a normalization of actual signal detectors is presented. This base reference yields the unique stochastic parameter used in our model. The proposed model better approximates the actual signals in the power spectrum distribution as compared to the filtered Poisson method presented elsewhere.

• 一般社団法人電子情報通信学会の論文
• 2003-12-01

著者

• Yamada M

  Graduate School Of Science And Engineering Tokyo Institute Of Technology

• Nishihara Akinori

  Graduate School Of Science And Engineering Tokyo Institute Of Technology

• Nishihara Akinori

  Graduate School Of Decision Science & Technology Tokyo Institute Of Technology

• Yamada Mitsuru

  Graduate School Of Science And Engineering Tokyo Institute Of Technology

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• The 6^ Joint Conference on Educational Technology Development of an English Listening Practice Partner System
• A Log-Normal Distribution Model for Electron Multiplying Detector Signals in Charged Particle Beam Equipments
• A Log-Normal Distribution Model for Electron Multiplying Detector Signals in Charged Particle Beam Equipments(General Fundamentals and Boundaries)

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