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Benchmark Experiment for Photoionized Plasma Emission from Accretion-Powered X-Ray Sources.
Loisel, G P; Bailey, J E; Liedahl, D A; Fontes, C J; Kallman, T R; Nagayama, T; Hansen, S B; Rochau, G A; Mancini, R C; Lee, R W.
Afiliação
  • Loisel GP; Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.
  • Bailey JE; Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.
  • Liedahl DA; Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
  • Fontes CJ; Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
  • Kallman TR; Goddard Space Flight Center NASA, Greenbelt, Maryland 20771, USA.
  • Nagayama T; Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.
  • Hansen SB; Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.
  • Rochau GA; Sandia National Laboratories, Albuquerque, New Mexico 87185, USA.
  • Mancini RC; University of Nevada, Reno, Nevada 89557, USA.
  • Lee RW; University of California, Berkeley, California 94720, USA.
Phys Rev Lett ; 119(7): 075001, 2017 Aug 18.
Article em En | MEDLINE | ID: mdl-28949679
ABSTRACT
The interpretation of x-ray spectra emerging from x-ray binaries and active galactic nuclei accreted plasmas relies on complex physical models for radiation generation and transport in photoionized plasmas. These models have not been sufficiently experimentally validated. We have developed a highly reproducible benchmark experiment to study spectrum formation from a photoionized silicon plasma in a regime comparable to astrophysical plasmas. Ionization predictions are higher than inferred from measured absorption spectra. Self-emission measured at adjustable column densities tests radiation transport effects, demonstrating that the resonant Auger destruction assumption used to interpret black hole accretion spectra is inaccurate.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article