Gaussian Energy Broadening tally

  • #1
gxa
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TL;DR Summary
FWHM-Gauss Energy Broadening
I took measurements by placing 137Cs, 60Co, and 133Barium 5 cm away from the detector and simulated this with the MCBEND program. First, I compared the dose rates. Now I want to compare the spectra. I examined similar studies. They explain the way to go, but I am not exactly sure how to do it. I have this on Excel. There are graphics. I would be happy if you could help me on what path to follow.I want to apply Gaussian energy brodening in the MCBEND code. What do I need to do to find the parameters here?
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  • #2
I'll give this my best shot. I think you need to have measured the real source for all those cases. I think you would measure the FWHM - that is the width of the peak half way up - for every known peak. That would give you the data you need.

From that it probably wouldn't be too difficult to solve for a, b and c such that the mean square difference is minimised.
 

FAQ: Gaussian Energy Broadening tally

What is Gaussian Energy Broadening in the context of tallying?

Gaussian Energy Broadening (GEB) refers to the process of applying a Gaussian distribution to the energy values recorded in a tally to simulate the effects of energy resolution. This is particularly relevant in radiation detection and nuclear physics, where detectors have a finite energy resolution that can be modeled using a Gaussian function.

Why is Gaussian Energy Broadening important in simulations?

Gaussian Energy Broadening is important because it provides a more realistic representation of how detectors respond to radiation. Real detectors do not have perfect energy resolution; they exhibit some degree of broadening due to various factors. Applying GEB in simulations allows researchers to better predict and analyze the performance of actual detectors and interpret experimental data more accurately.

How is the Gaussian Energy Broadening applied in a tally?

In a tally, Gaussian Energy Broadening is applied by convolving the recorded energy values with a Gaussian function. This typically involves specifying the broadening parameters, such as the full width at half maximum (FWHM) or the standard deviation of the Gaussian distribution. The energy values are then adjusted accordingly to reflect the broadening effect.

What parameters are needed to define Gaussian Energy Broadening?

To define Gaussian Energy Broadening, you generally need parameters such as the mean energy (E), the standard deviation (σ), or the full width at half maximum (FWHM) of the Gaussian distribution. The standard deviation and FWHM are related by the formula FWHM = 2.355σ. These parameters determine the extent of the broadening applied to the energy values in the tally.

Can Gaussian Energy Broadening be applied to all types of tallies?

Gaussian Energy Broadening is most commonly applied to energy spectra tallies, where the resolution of energy measurements is a critical factor. However, it may not be applicable or necessary for other types of tallies, such as those that record spatial distributions or particle flux without energy resolution considerations. The suitability of GEB depends on the specific goals and requirements of the simulation.

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