Measurement of the forward-backward
Asymmetry with e+e- pairs: Winter 2004
Authors: Gregory Veramendi, Gilles De Lentecker, Adam
Gibson, and Young-kee Kim
Here is my talk (powerpoint, pdf) from PHENO, which
includes all the plots and tables from the analysis. This may be useful for copying and pasting numbers and
tables into powerpoint. It may be useful for
better understanding the analysis.
All the plots can be found in this tarball.
You will find eps, gif, and root files for each plot for your
are brief explanations of the plots contained in the tarball.
These are the results assuming SM couplings (We usually show
Afb_Results_SM_zoom_040422.eps This is the contour plot of the u/d-Z quark couplings
These are the results without any SM constraints (larger uncertainties
near the Z-peak): Afb_Fit_smooth_040422.eps
This is a backup plot to show the different calculations that
contribute to the theory band. Theory_band_source_040425.eps This shows the invariant mass distribution of the candidate
events. Mass_data_040425.eps These two plots show the invariant mass and cos(theta)
comparing data with MC and background expectations.
Checks of the simulation:
This show a comparison of the Z-peak showing agreement of
Energy scale and resolution
Mass_Scale_Res_040425.eps This shows how the sign mis-identification depends on Invariant
Mass. Mis-ID rate is half of SS event rate MisId_SS_Mee.eps This shows a comparison of eta between Simulation and Data, we
check the difference as a systematic, and it is negligible eta_040425.eps
This shows the acceptance versus cos(Theta) for kinematic and
geometric cuts only.
Acceptance_costheta_040425.eps This shows the acceptance/correction factor vs invariant mass
for 4 different effects with no simulation
starting top left and going counter-clockwise:
geometric, kinematic, resolution, internal radiation gen_kinematic_sum.eps This shows the total acceptance/correction factor including all
effects in the simulation Acceptance_Mee_040425.eps This shows how events migrate from one bin to another. The rows
are normalized to one. To see where events originate before detector
effects, choose one row and read off the percentages. For example bin
15 is mostly coming from bin 15 at the
physics level. Bin 5 has a larger percentage of events coming from bin
7 (the Z-pole) than from the original bin 5. Event_Migration_Matrix.eps
Invariant mass distribution of the dijet background
Cross-check of dijet background calculation in CC topology:
Asymmetry of Dijet background (plot shows that it is nearly
updated Fri, 09 Jun 2004 by Gregory