Fe XVII 15.014 Angstroms

Non-porous models

Note: Both MEG and HEG are being fit simultaneously

Continuum fit on 14.85:14.90. For n=2, best-fit norm=1.71e-3. The 68% confidence limits on the normalization are approx. +/-0.5e-3. And the best fit is formally a good fit.

Fe XVII 15.014: smooth, both, MEG

Fe XVII 15.014: smooth, both, HEG
[14.87:15.13]
vinf=2250
β=1
powerlaw continuum, n=2; norm=1.71e-3
q=0
hinf=0
taustar=1.94   +/- (1.61:2.26)
uo=0.646   +/- (0.596:0.700)
norm=5.24e-4   +/- (5.08e-4:5.49e-4)
rejection probability = 26% (C=280.83; N=308)

Here are the 68%, 90%, and 95% joint confidence limits on taustar and Ro based on fitting the MEG and HEG data together. The filled circle represents the best-fit model, shown as the red histograms on the above two plots.

Fe XVII 15.014: joint Ro-taustar constraints using MEG+HEG data

New (2Jan09): note that we've now begun plotting these 2-D confidence contour plots in terms of Ro rather than uo.

The literature mass-loss rate implies a fiducial optical depth at the wavelength of this line of about taustar=5.30 (using kappa = 37 cm2 g-1). From the confidence limit contour plot we can see that such a high value is ruled out. If we force a non-porous model to have this optical depth value, here is the best-fit model.

Fe XVII 15.014: smooth, both, MEG, taustar=5.30

Fe XVII 15.014: smooth, both, HEG, taustar=5.30
[14.87:15.13]
vinf=2250
β=1
powerlaw continuum, n=2; norm=1.71e-3
q=0
hinf=0
taustar=5.30  
uo=0.990   +/- (0.665:0.990)
norm=5.36e-4   +/- (5.16e-4:5.57e-4)
rejection probability = 97% (C=344.36; N=308)

This fit is ruled out only at 97% confidence, formally. But the fit is clearly poor. And the low taustar fit - the global best-fit model - shown at the top of this page is preferred over this model with an even higher level of confidence (>99.99%), with ΔC > 64. Here are the two models plotted together:

Fe XVII 15.014: best fit compared to taustar 5.30, MEG

Fe XVII 15.014: best fit compared to taustar 5.30, HEG

Next, we fit isotropic porosity models to the data. And after that, anisotropic porosity models.

 

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last modified: 13 February 2009