Comments (1)
A typical way to extract ray distributions is described here, and an example can be found in
examples/withRaycing/01_SynchrotronSources/synchrotronSources.py
. In that example, we pickle some values and arrays to be used elsewhere but you can directly do plotting in the function afterScript
.
For the energy distribution, you need plot.caxis.binEdges and plot.caxis.total1D. The sum under the curve is the number of good rays within the specified energy limits. If you want it in ph/s, normalize it to plot.flux.
It is also possible to extract some values and arrays from plot pickles if you store them. Because pickling requires serialization, a plot pickle is not the same as its corresponding plot itself. The data structure there is different. From a plot pickle you need to extract ebinEdges
, etotal1D
and flux is calculated as
flux = float(intensity) / nRaysAll * nRaysSeededI / nRaysSeeded
,
where all these variables are present in the pickle.
In the GitHub version, I've now included flux into plot pickles to facilitate its possible future usage.
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