[Gate-users] History-by-history error estimation in the fixed forced detection actor

[Triltsch, Nicolas]

Dear Gate fellows,

My question aims at the history-by-history method which is used to 
calculate statistical uncertainties for the scatter images (Compton and 
Rayleigh) in the fixed forced detection actor. I have troubles to 
understand how the method  is applied within this algorithm which 
combines statistical calculation of scatter points within the object 
using classical Monte Carlo (MC) simulations (stage 1) with 
deterministic calculations of the probability to reach a certain 
detector pixel (stage 2).

What are the parameters N and X (see the original paper I have appended) 
in our case which are required to calculate the variance for the new method?

Uncertainty should only play a role in the first stage of the simulation 
where classical MC is used, however, in the second stage purely 
deterministic calculations are used. How is this considered within the 
uncertainty method?

I hope that someone can help me to understand this in more detail!

Thanks

Nicolas Triltsch

-- 
B.Sc. Nicolas Triltsch
Masterand

Technische Universität München
Physik-Department
Lehrstuhl für Biomedizinische Physik E17

James-Franck-Straße 1
85748 Garching b. München

Tel: +49 89 289 12591

nicolas.triltsch at tum.de
www.e17.ph.tum.de

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