Background rejection / data analysis

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Discussion Overview

The discussion revolves around the calculation of background rejection from a background sample when applying selection cuts. It explores the concepts of background efficiency and background rejection, examining their definitions and relationships.

Discussion Character

  • Technical explanation, Conceptual clarification

Main Points Raised

  • One participant asks how to calculate background rejection from a background sample using cuts.
  • Another participant suggests comparing the number of sampled background events that pass the cuts to the total number of sampled background events as a method for calculation.
  • A different participant inquires about the relationship between background efficiency and background rejection, questioning if they are the same.
  • In response, it is stated that background efficiency and background rejection are different ways to describe the same concept, providing an example to illustrate the relationship.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between background efficiency and background rejection, with some asserting they are the same and others providing clarification that they are different descriptions of the same phenomenon.

Contextual Notes

There may be limitations in understanding due to varying definitions of background efficiency and rejection, as well as the assumptions underlying the calculations proposed.

uttunni
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Hi,

How can one calculate background rejection from a background sample applying cuts ??
 
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Compare the number of sampled background events which pass the cuts to the total number of sampled background events.
 
Hi,
So what is background efficiency? Is background efficiency and background rejection are the same ?
 
They are different ways to describe the same thing. If 5% of your background events pass the selection (1 out of 20), you have a background efficiency of 5% and a background rejection of 20.
 

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