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Forum: Biasing and Scoring
Date: 31 Aug, 2011
From: Peter Mardahl <Peter Mardahl>

Hello,

  I've been reading the documentation on how to do biasing with interest, and I had a somewhat different idea than is currently implemented, and I am not sure if it is a good one.

  In particular, I'm looking at X-rays going through shielding.  One can do importance sampling on this, but you have to play with this to get it right.

  I'm wondering if I can just do this:  NEVER kill an x-ray as it goes through shielding.  Instead, whenever it has an event or process which WOULD kill it, just reduce the weight.

  The idea is that you can keep a constant number of particles and get good statistics, because one has lots, but still get the right answer because even though everyone survives, they have lost the right amount of weight.

  Does this make sense?  Can it work?  Has someone already done it successfully?  It seems like this *should* be pretty easy to do, but I am not confident I understand the issues properly.  Or is this already one of the options and I just failed to understand the documentation?  (If so, well, help please?)

Best,

--PeterM

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1 None: Re: Is there a good way to 'continuously bias' a particle by monkeying with weight?   (Marc Verderi - 31 Aug, 2011)
(_ None: Re: Is there a good way to 'continuously bias' a particle by monkeying with weight?   (Peter Mardahl - 31 Aug, 2011)
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