Variable | Standard Cut | Varied Cut | Data Set | Difference from nominal value |
---|---|---|---|---|
zVertex | abs(zVertex) < 50 0.1 < y < 0.5 | zVertex > 0 | MinBias | 0.0422 |
Topology | -0.1883 | |||
abs(zVertex) < 50 0.5 < y < 1.0 | zVertex > 0 | MinBias | 0.1526 | |
Topology | -0.323 | |||
abs(zVertex) < 50 0.1 < y < 0.5 | zVertex < 0 | MinBias | 0.1188 | |
Topology | 0.0379 | |||
abs(zVertex) < 50 0.5 < y < 1.0 | zVertex < 0 | MinBias | 0.0454 | |
Topology | 0.414 |
The nominal rapidity cut, 0.1 < y < 0.5, was chosen such that cosmic ray candidates could be cut from the data sample. However the interference is most pronounced at midrapidity. Loosening the cut for the minbias data set is reasonable, considering that cosmics would have to pass through the zdc's coincidentally to satisfy the trigger. Hence, the benefit of loosening the cut seems to outweigh the minimal impact of cosmic ray contamination.
Rapidity | 0.1 < y < 0.5 | 0.0 < y < 0.5 | MinBias | 0.0935 |
After reading through Vladimir Morozov's section on systematic errors and looking up Falk Meissner's page I've come up with a possible summary table:
Source | Summary |
Trigger | F. Meissner asseses this at < 1% according to the ZDC paper and hadron yield paper. At the moment I'm not sure what to make of this. |
Tracking | V. Morozov "compared the ratio of Nhits to the number of possible hits on the track Npossible hits in data and MC. The number of possible hits was calculated by extrapolating a track's geometry over the pad plane. The calculation incorporated both the detector geometry and features of the track finding routine....The quality of the track fit in data and MC is characterized by the &chi2 per d.o.f of the track fit...In a related analysis the authors studied the variation in the tracking efficiency-corrected pT and &eta spectra due to small variations in track quality cuts. The systematic error was found to be 6.4% for each reconstructed track, which we accept as a tracking efficiency systematic error for the present analysis." Still looking up the reference. I don't know if it applicable in this analysis or if an analogous study exists. |
Vertex Finding | V. Morozov says he plots "invariant mass spectra for identified secondary e+e- pairs comprised of any two global tracks and for pairs comprised of two global tracks that also were primary tracks...The ratio of the e+e- pairs with primary tracks to the total number of pairs gives an estimate of the vertex finding efficiency in the data." He comes up with an 8.5% estimate of the error in vertex finding efficiency. |
Pair Identification | V. Morozov estimates the "systematic uncertainty in pair identification efficiency via specific energy loss". He goes through a rigorous mathematical justification to come up with an estimate of 2% which ends up being negligible in comparison to the statistical error. I'm not sure this is directly applicable to this analysis as he is looking at e+e- pairs and we are looking at &pi+&pi-pairs | .
pT Mis-Reconstruction | Morozov says in order "to study the systematic error due to shift in reconstructed pTreco compared to the true value of transverse momenta," he re-computes "the reconstruction effficienty without applying the shift correction to the simulations. The raw Minv distribution (which is computed with pT correction) is then efficiency-corrrected with two different efficiency functions - one with account of pT shift, and the other without." Subsequently, using the error of the pT correction to be ~10% he estimates the error due to the pT distortion to be ~2%. |
Asymmetry | To estimate whether the number of reconstructed tracks in the East vs. West side of the TPC is different Morozov computes the ratio: |
Sensitivity to Generated Spectra | Morozov attempts to account for the possibility that the physics model of the event generator is wrong. "To test the sensitivity of reconstruction efficienty to variations in generated spectra, we can generate an event sample with, for instance, flat pTtot pass this event sample through the GEANT simulation, event reconstruction and analysis, and determine reconstruction efficiency in that way. Alternatively, we can use the same event generator event sample that we have been using so far(with pair transverse momentum distributed according to the probability distribution f(pTtot)), but compute the efficiency by the formula: |
Varying All Analysis Cuts | Morozov varied all cuts by ± 2.5% ± 5.0% ± 10%. He ultimately determined that "the relative numer variations were found to be very close (differ on the average by ~ 4.5%) in data and simulations, therefore the simulations describe the data response to the analysis cuts with excellent accuracy". |