A driven diffusion equation approach for optimization of a digital spectrum stabilizer

Chi Hang Lam; C. D. Beling; P. K. Mackeown; H. L. Au; S. Fung

doi:10.1016/0168-583X(95)00563-3

A driven diffusion equation approach for optimization of a digital spectrum stabilizer

Chi Hang Lam
, C. D. Beling
, P. K. Mackeown
, H. L. Au
, S. Fung

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

The point-mode digital stabilization method for gamma-ray spectrum measurement over long duration is examined. The stabilizer generates a stabilizing bias to reduce the adverse effects of the electronic bias due to fluctuations in laboratory conditions or electronic instability. The stabilizing bias turns out to be a stochastic variable with a time dependent probability distribution following an exactly solvable driven diffusion equation. From the results, we calculate and discuss the optimum setting of the stabilizer for best performance.

Original language	English
Pages (from-to)	89-93
Number of pages	5
Journal	Nuclear Inst. and Methods in Physics Research, B
Volume	103
Issue number	1
DOIs	https://doi.org/10.1016/0168-583X(95)00563-3
Publication status	Published - 1 Jan 1995

ASJC Scopus subject areas

Instrumentation
Nuclear and High Energy Physics

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10.1016/0168-583X(95)00563-3

Cite this

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abstract = "The point-mode digital stabilization method for gamma-ray spectrum measurement over long duration is examined. The stabilizer generates a stabilizing bias to reduce the adverse effects of the electronic bias due to fluctuations in laboratory conditions or electronic instability. The stabilizing bias turns out to be a stochastic variable with a time dependent probability distribution following an exactly solvable driven diffusion equation. From the results, we calculate and discuss the optimum setting of the stabilizer for best performance.",

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AB - The point-mode digital stabilization method for gamma-ray spectrum measurement over long duration is examined. The stabilizer generates a stabilizing bias to reduce the adverse effects of the electronic bias due to fluctuations in laboratory conditions or electronic instability. The stabilizing bias turns out to be a stochastic variable with a time dependent probability distribution following an exactly solvable driven diffusion equation. From the results, we calculate and discuss the optimum setting of the stabilizer for best performance.

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A driven diffusion equation approach for optimization of a digital spectrum stabilizer

Abstract

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