Optimizing Filter Thickness in MCNP5 for Phosphorus 32 Bremsstrahlung Reduction

  • Thread starter Addali sabah
  • Start date
  • Tags
    Mcnp5
In summary, the conversation is about working on optimizing the thickness of filters to reduce the continuous Bremsstrahlung spectrum emitted by phosphorus 32, using MCNP5 code. However, there are uncertainties in the input file and questions about the modeling geometry and source composition. Suggestions are made to improve the input file and clarify the source definition. The conversation also touches on the option to use source biasing and the use of built-in distribution functions for uniform sampling.
  • #1
Addali sabah
8
0
I am working on the optimization of the thickness of filters in order to reduce the continuous Bremsstrahlung spectrum emitted by phosphorus 32 measured by the Ge(HP) detector using some MCNP5 code but unfortunately I couldn't find the exact form of declaration of bremsstrahlung in the MCNP input file.
and this is my input file can anyone find the mistakes in it
input file (The modeled geometry is composed of the detector( Ge HP) and a parallelepiped source)

1 1 -5.323 (2 :3 )1 -4 -5
2 2 -1.83 6 -7 8 -9 10 -11
3 0 -12 #1 #2
4 0 12

1 pz 0
2 pz 5.1
3 cz 0.6
4 pz 6.1
5 cz 3.025
6 px -0.5
7 px 0.5
8 py -0.5
9 py 0.5
10 pz 11
11 pz 11.1
12 so 15

mode p e
m1 32000. 1 $Ge
m2 15000. 1 $P
imp:p 1 2r 0 $ 1, 4
imp:e 1 2r 0 $ 1, 4
sdef par=3 erg=1.7 x=d1 y=d2 z=d3 vec= 0 0 -1 dir=1
si1 -0.5 0.5
si2 -0.5 0.5
si3 11 11.1
sp1 0 1
sp2 0 1
sp3 0 1
f8:p 1
e8 0 1e-04 120i 1.8
cut:p,e j 0.001
nps 1000000
phys:e 2 0 0 0 0 1 1 1 1 0
 
Engineering news on Phys.org
  • #2
"x=d1 y=d2 z=d3", I don't understand what this is intended to be, but I'd set it to be inside, or impinging on, your source.

15000 is better and will produce bremsstrahlung, but probably not right. You won't literally have a lump of phosphorous smoking in the air I assume. Have a think what your source is actually made of. All the bits, is it on foil?, is it on a carrier?. You may want to relax the vectors on your source, the real thing would be omnidirectional and the interactions with the rest of the material of the source will contribute to the photon background.
 
  • #3
x=d1 y=d2 z=d3", because I have parallelepiped source
 
  • #4
Ohhh. I think I see. I don't know source biasing.

Why are the SP lines "0 1"?
Isn't that the same as "D 0 1", ie 2 bins?
Instead of "-21 0" which ought to be uniform sampling?

It might also help to have a cel=2 on the sdef line.
 
  • #5
thank you sir ,
for the sdef card we cannot use both definitions at the same time ( cell= and x, y, z) because x=d1 y=d2 z=d3 these are the extensions of the geometry of the source (this is the definition of a parallelepiped source in the mcnp5 code).
in this case the sp is the probability of taking the values of si for this si= -0.5 0.5 sp= 0 1 means either it takes the value 0 for a si -0.5 or a value 1 for si= -0.5 and the same for si= 0.5.
i don't understand this "Instead of "-21 0" which ought to be uniform sampling?".
 
  • #6
Putting a cel= in the sdef line will cause source particles generated that are not within that cell to be skipped.

-21 is a built in distribution function x^a, with a=0 this results in a flat probability spectrum. This is a method for a volume source.

As it is, you seem to have a 1cm x 1cm x 1mm strip of elemental phosphorus. It emits electrons in one direction, just from the corner points. This is intentional?
 
  • #7
I realised too late to edit, small correction. Corner point not points. This is a point source at 0.5,0.5,11.1 at the corner of the strip. All the other corners generated by the SI cards have zero probability because each of the SP probability entries correspond to an SI bin when this format is used.
 

Related to Optimizing Filter Thickness in MCNP5 for Phosphorus 32 Bremsstrahlung Reduction

What is the purpose of optimizing filter thickness in MCNP5 for Phosphorus 32 bremsstrahlung reduction?

The purpose of optimizing filter thickness in MCNP5 for Phosphorus 32 bremsstrahlung reduction is to minimize the bremsstrahlung radiation produced by beta decay of Phosphorus 32. This is important for improving radiation safety and reducing unnecessary exposure to both personnel and sensitive equipment.

How does MCNP5 help in determining the optimal filter thickness?

MCNP5 (Monte Carlo N-Particle Transport Code) helps in determining the optimal filter thickness by simulating the transport of particles through various materials. By modeling the interactions of beta particles and bremsstrahlung photons with different filter materials and thicknesses, MCNP5 can predict the effectiveness of each configuration in reducing bremsstrahlung radiation.

What materials are commonly used as filters for Phosphorus 32 bremsstrahlung reduction?

Common materials used as filters for Phosphorus 32 bremsstrahlung reduction include low atomic number materials such as plastic (e.g., acrylic or polycarbonate) and aluminum. These materials are chosen because they are effective at absorbing beta particles while producing relatively less secondary bremsstrahlung radiation compared to higher atomic number materials.

What factors should be considered when selecting the filter material and thickness?

When selecting the filter material and thickness, several factors should be considered, including the energy spectrum of the beta particles from Phosphorus 32, the effectiveness of the material in absorbing beta particles, the production of secondary bremsstrahlung radiation, the mechanical and chemical properties of the material, and the practical aspects such as cost and ease of fabrication.

Can MCNP5 simulations be used to validate experimental results for filter optimization?

Yes, MCNP5 simulations can be used to validate experimental results for filter optimization. By comparing the simulated data with experimental measurements of bremsstrahlung radiation levels, researchers can verify the accuracy of their models and refine their simulations to better match real-world conditions. This iterative process helps in achieving the most effective and practical filter design.

Similar threads

Replies
6
Views
1K
Replies
3
Views
2K
  • Nuclear Engineering
Replies
7
Views
2K
Replies
6
Views
2K
Replies
1
Views
234
  • Nuclear Engineering
Replies
4
Views
2K
  • Nuclear Engineering
Replies
2
Views
2K
  • Nuclear Engineering
Replies
9
Views
3K
Replies
2
Views
2K
  • Nuclear Engineering
Replies
2
Views
2K
Back
Top