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Non-destructive elemental analysis of a carbonaceous chondrite with direct current Muon beam at MuSIC.
Terada, K; Sato, A; Ninomiya, K; Kawashima, Y; Shimomura, K; Yoshida, G; Kawai, Y; Osawa, T; Tachibana, S.
Afiliação
  • Terada K; Graduate School of Science, Osaka University, Osaka, Japan. terada@ess.sci.osaka-u.ac.jp.
  • Sato A; Graduate School of Science, Osaka University, Osaka, Japan.
  • Ninomiya K; Graduate School of Science, Osaka University, Osaka, Japan.
  • Kawashima Y; Graduate School of Science, Osaka University, Osaka, Japan.
  • Shimomura K; Graduate School of Science, Osaka University, Osaka, Japan.
  • Yoshida G; High Energy Accelerator Research Organization, Tsukuba, Japan.
  • Kawai Y; Graduate School of Science, Osaka University, Osaka, Japan.
  • Osawa T; High Energy Accelerator Research Organization, Tsukuba, Japan.
  • Tachibana S; Graduate School of Science, Osaka University, Osaka, Japan.
Sci Rep ; 7(1): 15478, 2017 11 13.
Article em En | MEDLINE | ID: mdl-29133830
ABSTRACT
Electron- or X-ray-induced characteristic X-ray analysis has been widely used to determine chemical compositions of materials in vast research fields. In recent years, analysis of characteristic X-rays from muonic atoms, in which a muon is captured, has attracted attention because both a muon beam and a muon-induced characteristic X-ray have high transmission abilities. Here we report the first non-destructive elemental analysis of a carbonaceous chondrite using one of the world-leading intense direct current muon beam source (MuSIC; MUon Science Innovative Channel). We successfully detected characteristic muonic X-rays of Mg, Si, Fe, O, S and C from Jbilet Winselwan CM chondrite, of which carbon content is about 2 wt%, and the obtained elemental abundance pattern was consistent with that of CM chondrites. Because of its high sensitivity to carbon, non-destructive elemental analysis with a muon beam can be a novel powerful tool to characterize future retuned samples from carbonaceous asteroids.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article