Tweaking the Model
Your answers to the questions on the previous page likely indicate
that the model doesn't really fit the data yet. There are three peaks in the
data that are not accounted for by the current model. These peaks
happen to be emission lines of specific elements, and if you can model
these lines properly, you will be able to identify which elements are
present in the supernova remnant.
As before, you will want to start with the simplest model, in this
case it is Xspec's model called Gaussian. You
may have seen a Gaussian before – it is the same as the normal
distribution, or the "bellcurve" that some teachers use to determine
grades. The figure below shows a Gaussian function and illustrates two
of the free parameters:
Plot showing a Gaussian emission line model. The peak of the
emission line is set by the model parameter lineE, or the line
energy. The width of the emission line is characterized by the
model parameter Sigma. A third parameter is the normalization, which
is a count of all the photons that make up the line.
The Gaussian model's free parameters are:
 lineE, the energy of the central peak of the emission line
 Sigma, a measure of the width of the line
 normalization, the total number of photons in the line
To add a Gaussian feature to your model, use Xspec's addcomp command – this will keep your current
model intact, while adding a new component.
First, look back at your plot at the highestenergy peak. At what
energy does that peak appear to occur? What is the range of possible
values for that first peak? (Keep in mind that the xaxis on the plot is
logarithmic, not linear.)
It is possible for Xspec to get confused when fitting spectral
features if you add too many parameters at once. To help keep Xspec on
track, it is best to put limits on some of the free parameters. If you
look at your first data and model plot (shown again below), you will see
that the peak of the first emission line is at approximately 1.015 keV.
In addition, you can narrow down the possible energies of that first
peak to be between about 1.01 keV and 1.04 keV.
Plot showing the data (red) and model (black) for the initial fit of
the SNR spectrum in Xspec. Labeled in the plot is the peak that you will
model with a Gaussian emission line. The peak
of this first emission line is at approximately 1.015 keV; Xspec will
determine the best peak energy based on this initial guess. In
addition, you need to give Xspec a range of possible values for the
first peak, to help it keep from fitting the wrong spectral feature. In
this case, the range is 1.01 keV to 1.04 keV.
Recall that the xaxis is a logarithmic scale.
Now you can add a new Gaussian component to your model. To do this,
type:
addcomp 2 gaussian line
into the Xspec Command Window.
When Xspec prompts you for the first model input, the line energy,
this is where you give Xspec your initial guess of the peak energy and
give it the range of possible values. When you see the following
prompt:
2:gaussian: LineE >
Type:
1.015 0.05 1.01 1.01 1.04 1.04
The image below shows what this will look like in your Xspec Command
Window, and includes a brief explanation of each number. You will need
to use this again to model the other emission lines, so be sure to
understand where your guess of the peak energy and your guess of the
energy range goes, so you can change the command later.
This screen capture shows the Xspec Command window with the input
for the Gaussian LineE parameter. The first number is the initial
guess for the peak of the emission line. The second number is
"Delta", a value used by Xspec to determine how to step through
different values of the line energy. Delta should be kept at 0.05
for all Gaussian lines entered. The third and fourth numbers are
both the lower end of the range of possible peak energies. The
fifth and sixth are both the higher end of the range of possible
peak energies.
(Click image for larger version.)
For the other two model components, Sigma and normalization, hit
return to accept Xspec's default values.
The model will need to be refitted at this point, so that Xspec can
find the best values not only for the new Gaussian component, but for
the existing absorption and continuum. By adding the new component,
there might be better values for the previously fit values. To fit,
type:
fit
into the Xspec command window. If needed, remember to hit return
when Xspec pauses with the message:
Number of trials exceeded: continue fitting?
When Xspec has finished the fit, look at the results. What is the bestfit value for the energy of the
emission line you entered? You should see that it is about 1.01 keV.
Screen capture of the Xspec command window showing the results of
fitting the model with one Gaussian emission line added.
(Click image for larger version.)
Now, plot the data to see if the addition of a Gaussian emission
line helped. Remember to use the easyplot
command:
easyplot 0.25 5.0
Screen capture of the POW plot window showing the results of the
fitting the revised model with a Gaussian emission line.
Answer these questions about your current model and plot:
 Note the chisquared for this fit.
 Is the chisquared higher or lower than it was for your previous
model? Does that mean that this is likely to be a better or worse
fit?
 Looking at your plot, how well does the model match the
data?
 Did adding the Gaussianshaped emission line produce a better
model than the Bremsstrahlung continuum alone?
 What feature in your data did the Gaussian emission line fit?
Are there other features that look similar? If so, where?
 Do you think that you have found the best model for these data?
Why or why not?
 If not, then describe what features of the data the model seems
to be missing.
