Version 1 (modified by trac, 7 years ago) (diff) |
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Definition
In general, the probability that an event is accepted depends on the characteristics of the measured event, and not on the process that produced it. The measured probability density %% can be related to the produced probability density %%: %\[\bar{P}(x,\alpha)=Acc(x) P(x,\alpha)\]% where %% is the detector acceptance, which depends only on %%
In the computation of the likelihood of the MatrixElement, this acceptance term induce the following term: %\[\int Acc(x) P(x,\alpha)dx\]%
This could be estimated easily, by MC, as the number of accepted events on the number of generated events. %\[\frac{N_{accepted}}{N_{generated}}\]%
How to compute Acceptance term with pythia/PGS.
WARNING: This module is in devellopment. This module is (not yet) on any official distribution.
- In order to have the computation of the acceptance term in MW you have to put in the MadWeight_card.dat the following option
Block MW_Run 4. T # normalizes weight (1/sigma prefactor) acceptance_run T # computes the acceptance term}}} -- Main.OlivierMattelaer - 22 May 2009
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