Real Experiment-MCBEND Simulation

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Discussion Overview

The discussion revolves around the comparison of experimental results with those obtained from the MCBEND simulation. Participants explore the need for normalization of graphs to achieve similarity between the two sets of results, addressing both the methodology and the context of the data.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions whether normalization is necessary to make the experimental and simulation graphs similar, seeking guidance on how to apply it.
  • Another participant suggests that normalization might be useful if the simulation results have not been scaled to match the experimental results, indicating that the normalization approach depends on the specific data analysis goals.
  • A participant expresses uncertainty about how to perform normalization, indicating that their experimental graph does not match the theoretical one in shape, which may complicate the comparison.
  • One participant mentions that their code is consistent with the simulation environment and that they are investigating the accuracy of the simulation based on detector measurements.

Areas of Agreement / Disagreement

Participants express differing views on the necessity and method of normalization, with some suggesting it is essential while others indicate that the inherent differences in graph shapes may prevent a satisfactory match regardless of normalization efforts. The discussion remains unresolved regarding the best approach to achieve similarity between the graphs.

Contextual Notes

There are limitations regarding the assumptions made about the data and the specific goals of the analysis, which have not been fully clarified. The discussion also highlights the potential impact of the shape of the graphs on the normalization process.

gxa
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TL;DR
Normalization for simulation results
Do I need to apply normalization these two graphs to make them similar to each other and if so, how can I do this? I would be very grateful if you can help me if these results are consistent. I compared the results of the experiment and the results of the mcbend simulation.
 

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gxa said:
TL;DR Summary: Normalization for simulation results

Do I need to apply normalization these two graphs to make them similar to each other and if so, how can I do this? I would be very grateful if you can help me if these results are consistent. I compared the results of the experiment and the results of the mcbend simulation.
It's best not to post documents that can contain macros, like Word or Excel documents. It's better to upload a PDF or JPEG image of your work to help folks understand your question.

Is this for MCNP work? If so, I can move the thread to the Nuclear Engineering forum, where such questions usually go. Finally, is this for schoolwork? What is the context of the question? Thanks.
 
Got it, thanks. Can you move my question to nuclear engineering section and this is not a homework. Also, I added the necessary graphics for my question as a picture again.
 

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What do you want to learn from your data? Where does it come from?

It's possible the simulation hasn't been scaled to match the expected experimental result. In that case a normalization is useful. If you want to normalize to the same integral, or same integral of a peak, or something else, will depend on your experiment and your data analysis goal.
 
yes, I did not scale the data. what I want to do is to make the graphs similar. But I don't know exactly how to make normalization
 
gxa said:
what I want to do is to make the graphs similar.
Similar in what way, for what purpose?

Your experimental graph doesn't have the same shape as the theoretical one so they won't match up nicely no matter what you do.
 
I think my code is the same as the environment I have set up. I am investigating the accuracy of the simulation. These are the measurements of my detector and I added my code
1692791605783.png
 

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