Difference between revisions of "Efficiency"
From Particle Wiki
| (3 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
| + | [[Category:Basic concept]] | ||
| + | [[Category:Physics analysis]] | ||
The '''efficiency''' of a [[selection step]] is defined as the fraction of desired [[events]] or [[objects]] that pass it. For instance, if 60% of genuine [[Electron|electrons]] in a sample pass the electron [[identification]], the identification efficiency is 60%. In practice, the efficiency that it is feasible to achieve must be balanced against the purity of the sample after the selection: one generally wants high efficiency and purity, but it is often not possible to increase one without decreasing the other. Which balance works best depends on the analysis demands and strategy. | The '''efficiency''' of a [[selection step]] is defined as the fraction of desired [[events]] or [[objects]] that pass it. For instance, if 60% of genuine [[Electron|electrons]] in a sample pass the electron [[identification]], the identification efficiency is 60%. In practice, the efficiency that it is feasible to achieve must be balanced against the purity of the sample after the selection: one generally wants high efficiency and purity, but it is often not possible to increase one without decreasing the other. Which balance works best depends on the analysis demands and strategy. | ||
| − | The opposite of efficiency is | + | The opposite of efficiency is '''inefficiency''', defined as 1 – efficiency. |
Latest revision as of 16:21, 29 November 2016
The efficiency of a selection step is defined as the fraction of desired events or objects that pass it. For instance, if 60% of genuine electrons in a sample pass the electron identification, the identification efficiency is 60%. In practice, the efficiency that it is feasible to achieve must be balanced against the purity of the sample after the selection: one generally wants high efficiency and purity, but it is often not possible to increase one without decreasing the other. Which balance works best depends on the analysis demands and strategy.
The opposite of efficiency is inefficiency, defined as 1 – efficiency.
