[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Deuterium Diffusion Query
- To: Brendan Kiburg <kiburg@npl.uiuc.edu>, Peter Kammel <kammel@npl.uiuc.edu>
- Subject: Deuterium Diffusion Query
- From: Tom Banks <tbanks@socrates.berkeley.edu>
- Date: Fri, 20 Jan 2006 10:26:29 -0800 (PST)
- In-reply-to: <Pine.LNX.4.63.0601191048020.17251@one.npl.uiuc.edu>
- References: <Pine.LNX.4.63.0601191048020.17251@one.npl.uiuc.edu>
I have a question for our in-house deuterium diffusion experts, but first
I need to describe my current situation:
As I mentioned at the close of Tuesday's teleconference, I am working on a
fast Monte Carlo program to simulate diffusion effects and explore the
possibility that they might be responsible for the gondola effect. At
present I have implemented (thermal) mu-p diffusion only, which is a
relatively simple process to model: you sample from the normalized
diffusion function
f(r) = sqrt(2/pi) * r^2 * exp(-r^2/2) ,
and then scale the sampled value according to the time of decay
r -> r * sqrt(2Dt) ,
where D is the diffusion constant.
I am now at the point where I would like to incorporate deuterium
diffusion into my program as well. I know that mu-p -> mu-d transfer and
subseqent diffusion is a complex dynamic process, but is there any way I
could crudely model the situation by sampling from some generic "mu-d
diffusion" function and scaling the result in time, analogous to the mu-p
diffusion algorithm described in the preceding paragraph? According to
Brendan's plots in ELOG #19,
http://kaon.physics.berkeley.edu:8080/analysis-run8/19
the mu-d diffusion splits into 2 peaks at late times, so I know that this
wouldn't be completely accurate. But I'd like to know if you think I
could model mu-d diffusion by sampling from some standard mu-d function
(the sampling frequency would probably be determined by the deuterium
concentration) and then scaling the result according to an appopriate
effective diffusion constant.
Thanks,
Tom