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原子分解能X線ホログラフィー

Inquiry number

SOL-0000001542

Beamline

BL29XU (RIKEN Coherent X-ray Optics)

Scientific keywords

A. Sample category inorganic material
B. Sample category (detail) metal, alloy, semiconductor, insulator, ceramics, crystal
C. Technique absorption and its secondary process, fluorescent X-rays
D. Technique (detail) fluorescent X-ray holography
E. Particular condition 3D imaging (cf. CT), X-ray microscopy
F. Photon energy X-ray (4-40 keV)
G. Target information structure analysis

Industrial keywords

level 1---Application area others
level 2---Target
level 3---Target (detail)
level 4---Obtainable information
level 5---Technique imaging

Classification

A80.12 semiconductor, A80.20 metal ・material, A80.30 inorganic material, A80.32 organic material

Body text

原子分解能X線ホログラフィーは三次元原子構造を可視化できるユニークな手法です。この手法を用いることで、特定の元素近傍の局所構造を測定することができます。
図に示すのは、ZnSe試料のホログラムと三次元再生像です。

図 ZnSeのホログラム

図 ZnSeの三次元再生像

[ Y. Nishino, T. Ishikawa, K. Hayashi, Y. Takahashi and E. Matsubara, Physical Review B 66, 092105 (2002), Fig. 3, 4,
©2002 American Physical Society ]

 

Source of the figure

Original paper/Journal article

Journal title

Y. Nishino, T. Ishikawa, K. Hayashi, Y. Takahashi, and E. Matsubara, Phys. Rev. B 66, 092105 (2002)

Figure No.

3,4

Technique

内部検出器原子分解能X線ホログラフィーでは様々な入射角での蛍光X線強度を測定します。蛍光X線分光はアナライザ結晶またはエネルギー分散X線検出器を用いて行います。

 
 

図 原子分解能X線ホログラフィー装置の概略図

[ Y. Nishino, T. Ishikawa, K. Hayashi, Y. Takahashi and E. Matsubara, Physical Review B 66, 092105 (2002), Fig. 2,
©2002 American Physical Society ]

 

Source of the figure

Original paper/Journal article

Journal title

Y. Nishino, T. Ishikawa, K. Hayashi, Y. Takahashi, and E. Matsubara, Phys. Rev. B 66, 092105 (2002)

Figure No.

2

Required time for experimental setup

12 hour(s)

Instruments

References

Document name
Y. Nishino, T. Ishikawa, K. Hayashi, Y. Takahashi, and E. Matsubara, Phys. Rev. B 66, 092105 (2002)

Related experimental techniques

Questionnaire

With user's own instruments.

Ease of measurement

With a great skill

Ease of analysis

With a great skill

How many shifts were needed for taking whole data in the figure?

More than ten shifts

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