Thank you very much for your explanations and suggestions. Responses
interspersed below.
On 2/5/2018 4:57 PM, Moreland, Kenneth wrote:
Jeremias,
When you set a radius and number of points in the probe filter, then the filter
will randomly sample the volume within the defined sphere the number of times
requested. The resulting values are the field values at those randomly sampled
locations. >
An easy way to get an average of your samples is to run the result of the probe filter
through the descriptive statistics filter. Look at the "Statistical Model"
table and it will report the mean value for each field. (Note that if you are using
ParaView 5.4 there is a bug, #17627, that shows the Statistical Model table wrong by
default. You have to also change the Composite Data Set Index parameter in the Display
part of the properties panel to select only the Derived Statistics block.)
A couple of caveats to this approach. First, because the sampling is random,
don't expect the exact same answer every time you run it. Second, if one of the
samples happens to lie outside of the mesh, that sample will be filled with 0's
for all fields. That will throw off the average value.
Is there a probe setting that will simply grab all the points living in
the original mesh within the radius of the sphere I choose?
That said, another approach you might want to take is to first filter the data in a way
that blurs out the noise first. One way you can do that is to run the Point Volume
Interpolator filter. Change the Kernel to something like Gaussian (the default Voronoi
filter will not do the averaging that you want). Set the radius appropriately. You can
then probe the resulting data set with a single value (radius 0) and immediate see the
"averaged" result.
-Ken
I don't seem to be finding any information on what exactly the Gaussian
kernel does with the data, so how close is it to the plain averaging I
would like it to be doing?
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