論文

査読有り 筆頭著者
2019年8月

Construction of Response Function of TES X-ray Microcalorimeter for STEM-EDS

IEEE Transactions on Applied Superconductivity
  • Tasuku Hayashi
  • ,
  • Haruka Muramatsu
  • ,
  • Keisei Maehisa
  • ,
  • Noriko Y. Yamasaki
  • ,
  • Kazuhisa Mitsuda
  • ,
  • Keisuke Maehata
  • ,
  • Toru Hara

29
5
開始ページ
1
終了ページ
4
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TASC.2019.2902304
出版者・発行元
Institute of Electrical and Electronics Engineers ({IEEE})

A quantitative microanalysis of astromaterials (e.g., meteorite, returned samples from asteroids) is a key technology to understand the history of our solar system formation. To fulfill this, we developed an energy-dispersive X-ray spectroscopy (EDS) using a transition-edge sensor (TES) microcalorimeterarray on a scanning transmission electron microscope (STEM) for material analysis. To reduce the systematic errors of a spectral analysis, we investigated and constructed the response function of the STEM-EDS system, which consists of detection efficiency and a two-dimensional response matrix. The latter represents the pulse-height redistribution functions of the incident photons of different energies. Using the constructed response function, we demonstrated the quantitative determination of SiO2 film and confirmed that the number-density ratio of oxygen to silicon (=2.29(-0.29)(+0.32)) is consistent with the expected value of 2 within the statistical errors. We further study the systematic errors of the concentration determination with simulations. We analyze the simulated spectra of TES-EDS and SDD (silicon drift detector)-EDS without a priori knowledge about the continuum spectra and find that the systematic deviations of parameters from the model values are smaller than 1% for TES-EDS and larger than 10% for SDD-EDS.

リンク情報
DOI
https://doi.org/10.1109/TASC.2019.2902304
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000463482700001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/TASC.2019.2902304
  • ISSN : 1051-8223
  • eISSN : 1558-2515
  • ORCIDのPut Code : 66327756
  • Web of Science ID : WOS:000463482700001

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