2006 Inclusive Jet pT Shifts and Trigger/Reconstruction Bias
Updated on Mon, 2008-09-01 13:51. Originally created by staszak on 2008-07-01 23:53.
UPDATE Sept. 1, 2008: This is now obsolete, for final pT shifts and bias calculations please see this blog entry:
http://drupal.star.bnl.gov/STAR/blog-entry/staszak/2008/sep/01/2006-inclusive-jet-pt-shifts-and-trigger-and-reconstruction-bias-take-2
Shown below is the Pythia jet pT(y-axis) vs. Geant jet pT(x-axis) for associated pythia-geant jets using 4 different trigger combinations. The same figure is shown for the BBC-only Geant condition for comparison. The simulation data is using 2006c geometry, including sets rcf1302-1304, rcf1306-1311, and rcf1317-1318. 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 >-0.7, <0.9
- Geant jet pT >= 5.0
- Geant jet neutral Energy Fraction <0.92
- Murad's electron-like Jet Cut: http://cyclotron.tamu.edu/star/2005n06Jets/eJets/
- Software Trigger Req't
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. These are the black histogram values on the previous figure.
To estimate the bias from our trigger and reconstruction we shift to these pythia mean pT values the reconstructed geant asymmetries. For 2006 we have the ability to look at many theoretical parameterizations of delta-G: 11 GRSV models, 3 GS models, 3 LSS models, 3 AAC models, 2 BB models, and 2 DNS models. See my previous post for more details about these various theoretical modes. 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). JP1 (trigger Id# 137221) is the only one displayed here, but identical figures are attached at the bottom for the 2 other triggers.
Note: The bottom 2 bins and the top bin are excluded from the final analysis.
Notice that due to a statistical fluctuation the second from the highest bins in these figures will have a slightly larger bias than the preliminary result.
Plots from the 4 other triggers are attached below.
Included here is a text file listing the mean pythia pT points and asymmetry values for each of the available models and each pT bin. Listed in this text file are values for both JP triggers and both HTTP triggers used in running. The differences are shown below for 3 triggers and the all available parameterizations.
The differences (shifted Geant A_LL - pythia A_LL) are printed out in the this file for each of the 5 triggers and various paramterizations. The last piece that is needed to calculate the pT shifts and trigger/reconstruction bias is the fraction of each of the 5 triggers populating each data pT - attached here.
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