Version 1 (modified by trac, 6 years ago) (diff) |
---|
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
Attachments (7)
- latexba583877a3ece1eda6086f0695b5d246.png (553 bytes) - added by anonymous 6 years ago.
- latex521588ebdd55fcdee3268390fa2c5470.png (421 bytes) - added by anonymous 6 years ago.
- latex80b2324cc4fa4a7e3f898006c97beab9.png (875 bytes) - added by anonymous 6 years ago.
- latexf2a6913b94e0b4c0e7b032edc0173cae.png (723 bytes) - added by anonymous 6 years ago.
- latexa8e1d0ab69511aff49cafabba07cf750.png (189 bytes) - added by anonymous 6 years ago.
- latex853a0564f9404cd82cd18f6bdf441385.png (380 bytes) - added by anonymous 6 years ago.
- latex31ce79d9582e1c57c9e4f19963e371f4.png (414 bytes) - added by anonymous 6 years ago.
Download all attachments as: .zip