|Message: Re: Relation between RESOLUTIONSCALE and intrinsic energy resolution||Not Logged In (login)|
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> sigma = ResolutionScale*sqrt(MeanNumberofPhotons). But what's the real meaning
> of ResolutionScale?
Sorry, I was away for most of the time since you first posted and, to be honest, I don't have a better answer than what is already written about 'ResolutionScale' in the Application Developers Guide:
Every scintillating material has a characteristic light yield, SCINTILLATIONYIELD, and an intrinsic resolution, RESOLUTIONSCALE, which generally broadens the statistical distribution of generated photons. A wider intrinsic resolution is due to impurities which are typical for doped crystals like NaI(Tl) and CsI(Tl). On the other hand, the intrinsic resolution can also be narrower when the Fano factor plays a role.
> For example, giving the intrinsic energy resolution of CsI(Tl),which is 3.6%,
> then is it right that I set the ResolutionScale=1.036 ?
You specify a scintillation yield which produces x-number of photons. These photons then must be detected. Your simulated resolution will be: 1/sqrt(detected # of photons). If this doesn't come out to be 3.6%, then you need to fudge the number of simulated detected photons until true. The fudge factor is ResolutionScale.
As you noticed, you cannot expect a priori an absolute prediction of your simulation. It depends on too many unknowns (reflectivities, detection efficiencies etc. etc.) but if you build a prototype and manage to determine the right "fudge factors" for your simulation, then you might be able to extrapolate to other or more complicated geometries made of similar crystal, reflective surfaces and detectors.
Simulations of this sort are mostly useful to get an idea about relative expectations.
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