Undergrad Why do systematic uncertainties disappear using ratios?

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SUMMARY

The discussion clarifies that systematic uncertainties, such as luminosity and trigger efficiency uncertainties, effectively cancel out when analyzing ratios in physics, specifically in the context of bin-by-bin ratios. This cancellation occurs because both the numerator and denominator are influenced by the same uncertainties, leading to negligible effects on the ratio itself. The participants emphasize the importance of verifying that the same efficiency applies to both parts of the ratio and note that luminosity uncertainties are typically consistent unless datasets from different years are compared.

PREREQUISITES
  • Understanding of systematic uncertainties in physics analysis
  • Familiarity with bin-by-bin ratio calculations
  • Knowledge of trigger efficiency and luminosity in experimental physics
  • Basic statistical analysis skills in the context of data normalization
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  • Explore the concept of systematic uncertainties in depth
  • Learn about the implications of bin-by-bin ratio analysis in physics
  • Investigate methods for verifying trigger efficiency across datasets
  • Study the effects of luminosity uncertainties in multi-year data comparisons
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Physicists, data analysts, and researchers involved in experimental physics who are looking to understand the impact of systematic uncertainties on data analysis and ratio calculations.

Photonino
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Hello,

I often hear the phrase "Well, since you are taking a ratio bin-by-bin, you don't have to care about the luminosity syst. uncertainty and the trigger efficiency syst. uncertainty".

I think I understand qualitatively why this is the case (It cancels out in the ratio, since both quantities are affected by the same uncertainty), but I would like to double check whether this intuition is correct and to what extent this statement is correct when performing a physics analysis.

Thank you very much in advance!
 
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Why don't you try it out with toys?
Thing is that a common scale factor is not going to affect much your distribution. If the ratio for example is \frac{N_{pass}}{N_{tot}} an uncertainty that will affect their normalization by 10% is going to give you \frac{1.1N_{pass}}{1.1N_{tot}} = \frac{N_{pass}}{N_{tot}}.
I don't have a quantitive explanation for uncertainties that depend on the variable at which you are looking at, but I think the assumption at bin-by-bin ratio is supposed to assume that within a bin the uncertainty can be considered a constant.
Now to what extend this is true- well I'd say you cannot tell beforehand... the rigorous way would be to try it out and show that it's giving a negligible outcome [compared to other uncertainties].
 
For the trigger efficiency you'll have to verify that the same efficiency applies to both numerator and denominator. For the luminosity uncertainty this is basically always the case - unless the datasets you compare are from different years or something like that.
 
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