What Can Be Learned from Signal vs. Background Efficiency Plots?

In summary, the plots of background vs signal efficiency provide information on the possible selections for a given set of events. Each point on the curve represents a specific selection, with the vertical axis representing either 1/(background efficiency) or 1-(background efficiency). The curve can be obtained by continuously varying the selection criteria, and typically follows a similar shape for all plots.
  • #1
ChrisVer
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What information can one obtain from the plots of the background vs signal efficiency? [itex]\epsilon_{bkg}(\epsilon_{sig})[/itex]?
In particular I attach some plots I made by hand and I want to understand how to obtain what each tells us.
 

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  • #2
Your plot should have 1/(background efficiency) or 1-(background efficiency) as vertical axis.

Each point on the curve is a possible selection. As an example, you can randomly take 60% of the events, then you have 60% signal efficiency and keep 60% of the background. That is not a good selection, of course. Your actual one might keep 90% of the signal events and keep only 5% of the background. If you make the selection a bit looser, you get 91% of the signal, but 10% of the background. Make this in a continuous way (with TMVA usually) and you get a curve. With the usual choices for axes, all curves should look like the blue one.
 

FAQ: What Can Be Learned from Signal vs. Background Efficiency Plots?

What is a signal vs bkg efficiency plot?

A signal vs bkg efficiency plot is a graphical representation of the efficiency of a signal (desired outcome) versus the efficiency of background events (undesired outcomes) in a scientific experiment or analysis. It helps to visualize the ability of a system to distinguish between signal and background events.

How is the efficiency calculated in a signal vs bkg efficiency plot?

The efficiency is calculated by dividing the number of correctly identified signal events by the total number of signal events present. Similarly, the efficiency for background events is calculated by dividing the number of incorrectly identified events by the total number of background events present. These values are then plotted on the y-axis and x-axis, respectively, to create the signal vs bkg efficiency plot.

What is the significance of a good signal vs bkg efficiency plot?

A good signal vs bkg efficiency plot indicates a high discrimination power of the system, meaning that it has a high ability to distinguish between signal and background events. This is important in scientific experiments as it ensures that the results obtained are reliable and accurate.

How can one improve the signal vs bkg efficiency plot?

The signal vs bkg efficiency plot can be improved by optimizing the selection criteria used to identify signal events and reducing the background noise. This can be achieved through various techniques such as using more advanced data analysis methods, increasing the sample size, and improving the sensitivity of the system.

Can the signal vs bkg efficiency plot be used to compare different systems or experiments?

Yes, the signal vs bkg efficiency plot can be used to compare different systems or experiments, as long as the same selection criteria and data analysis techniques are used. It provides a quantitative measure of the discrimination power of each system, allowing for a fair comparison between them.

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