No longer the most recent version. The details of the analysis described below (cuts, simulation sample used, method, etc.) is still correct. For the most recent results though please go here.
The pT shifts and trigger/reconstruction bias are detailed in this post. The simulation data used y2004y geometry, including sets rcf1224-1230 and rcf1232-1233. The number of events per pythia sample used is shown in
this file as is the calculated partial cross sections used to weight the various sample relative to each other.
Jet/Event Cuts Used:
- zVertex != 0
- Geant ETA >0.2, <0.8
- Geant jet pT >= 5.0
- if (Geant jet pT < 6.15) neutral Energy Fraction <0.85
- if (Geant jet pT >= 6.15) neutral Energy Fraction <0.9
- Murad's electron-like Jet Cut: http://cyclotron.tamu.edu/star/2005n06Jets/eJets/
- Software Trigger Requirements
In order to determine the corrected location to plot each data jet pT bin, we numerically calculate the Pythia jet pT mean value for each Geant jet bin. The pT shifts for each Geant pT bin and trigger combination are shown below and explicity listed in
this file.
The discontinuity seen in the shift values for HT2||JP2 above are discussed and diagnosed in a
previous post.
To estimate the bias from our trigger and reconstruction we shift to these pythia mean pT values the reconstructed geant asymmetries. For 2005 we have the ability to look at the 11 GRSV delta-G parameterizations and the 3 GS delta-G parameterizations. The below figures show a comparison between three curves for each of these models: 1- Pythia A_LL values (blue point, lines), 2- Geant un-shifted A_LL values (black), and 3- Geant shifted A_LL values (red). The high statistics trigger combination (HT2 || JP2) is the only one displayed here, but identical figures are attached at the bottom for the 3 other trigger combinations.
Attached here is a file listing the Geant Asymmetry values for each pT bin and model.
