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ベイズの定理に基づく最大エントロピー法による Applications of a Bayesian Based Maximum
Entropy Method 新川隆朗,中村奈津子,加藤裕志,渋谷和好,中田宗隆 An energy dispersive X-ray detector is widely used to measure intensity spectra of characteristic X-rays of component elements in an specimen. In a long-time measurement to obtain a low-noise spectrum, the spatial resolution of X-rays decreases partly due to the radiation of X-rays from the surrounding area larger than the probe size itself, and partly due to the drift of the electron beam and/or of the specimen stage. In a short-time measurement to avoid the above difficulties, the X-ray spectrum contains a much higher-level noise. It has been well known that usual smoothing techniques downgrade the sharpness of the spectrum. In the present study, a Bayesian Based Maximum Entropy Method (BBMEM) is applied to the spectrum obtained in a few seconds, and is proved to be an effective technique to reduce the noise in the spectrum Keywords : Bayesian Theory, Maximum Entropy Method, Energy Dispersive X-ray Spectrum. |
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