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The Emission Line Project:
Benchmarking the Plasma Spectral Emission Codes





Nancy S. Brickhouse




Smithsonian Astrophysical Observatory



Chandra X-ray Observatory Center


















With Jeremy Drake



Chandra Users Committee Meeting
Center for Astrophysics
June 16, 1999

I. Introduction





  $\mbox{$\bullet$}$
The Emission Line Project is a collaborative effort, organized by the Chandra X-ray Observatory Center, to improve the plasma spectral models used to analyze and fit X-ray spectral observations.

  $\mbox{$\bullet$}$
The first phase will take advantage of high quality spectra of three stellar coronal targets (Procyon, Capella, and HR 1099) that will be obtained for the purposes of calibrating the Chandra transmission gratings.

Calibration sources:

  $\mbox{$\bullet$}$
These calibration data will be made public as soon as possible after their acquisition.

II. Overview of Plasma Spectral Emission Codes





III. Critical Evaluation of Atomic Data





  $\mbox{$\bullet$}$
These data are mostly theoretical. Very few experimental measurements have been made, esp. for higher Z and charge.

  $\mbox{$\bullet$}$
Wavelengths may be as inaccurate as a few %.

  $\mbox{$\bullet$}$
Ionization and recombination rates may be worse than factors of 2.

Example: Dielectronic recombination rate coefficients

  $\mbox{$\bullet$}$
Collisional excitation rates are claimed accurate to 10 to 30 %.

Example: H-like collision strengths

  $\mbox{$\bullet$}$
Processes that are left out are expected not to matter very much.

Example: Lines emission from high n





$\star$
The accuracy and completeness of data needed depends on what you are trying to do.

$\star$
Ironically, the standards for lower resolution spectral analysis may be higher than for grating spectroscopy, e.g. to determine abundances with ACIS.





IV. Why Other Benchmarks Are Not Enough





  $\mbox{$\bullet$}$
Theorists' opinions
Based on agreement among different methods
  $\mbox{$\bullet$}$
Laboratory plasma physics experiments
e.g. Tokamaks have transport/diffusion issues
  $\mbox{$\bullet$}$
Solar spectra
Inadequate resolution or bandpass
Poor calibration
High background
Limited to lower temperatures for quiet corona, time-variability for higher temperatures (flares)
Difficult to access old data sets, while original identifications not complete or accurate
Example: Global Fitting Analysis of SMM flare spectra with MEKAL $\rightarrow$ Best-fit $\chi^2_{red} \sim 33.$ (Phillips et al. 1999)
  $\mbox{$\bullet$}$
Laboratory atomic physics experiments
Great for wavelengths and identifications
Limited to benchmarks for other atomic data
Example: resonance structure in collision strengths
Example: Maxwellian vs monoenergetic beam (EBIT)





V. Utility of Chandra Spectra





  $\mbox{$\bullet$}$The ``coronal approximation'' is a good first assumption.

Emission is naturally weighted to high density regions where collisional processes will be more equilibrated.

Provides ``easy'' predictive capability with which to test observed spectra.

Breakdown of classical assumptions have predictable consequences.












VI. ELP Functional Activities

VII. Opportunities for Participation and Involvement







 
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Nancy Brickhouse
1999-06-16