Eta Intercalibration 2016
Datasets Analysed
The following text files provide full-listings of the datasets used, broken down by period
- Period A- "Early runs"
- Period A - "late runs"
- Period B
- Period C
- Period D
- Period E
- Period F
- Nominal Monte Carlo - Pythia8
- Systematic Monte Carlo - Sherpa 2.1
A complete list of the samples used is avaliable here.
Analysis tools
The eta inter-calibration code can be found in the
gitlab
(previously, on
svn
)
Tag 00-00-0X was used for the DS3 analysis.
Calibrations
The calibrations and systematic uncertainties are avaliable below
- Anti-kt R = 0.4 EM+JES jets:
- Calibration ROOT file
- Uncertaintiy Root file
- Calibration PDF
- Uncertainties PDF
- Anti-kt R = 0.4 LC+JES jets:
- Calibration ROOT file
- Uncertaintiy Root file
- Calibration PDF
- Uncertainties PDF
Data Verification
Method Verification
As detiled in the supporting documents there are two methods to evaluate the eta intercalibraiton factors.
Comparisons of these methods are listed below for:
Full results of the the methods individual, including the martices used in the matrix method, can be found below for:
Closure study
The derived calibration is applied to the data set and a new calibration evaluated. Deviations from unity in the region of |eta| ~2.4 are accounted as an addiational uncertaintiy.
Plots of the closure can be found below for:
The included systematic can found below for:
Period stability study
Differences in run conditions have the potential to bias the calibraiton in unexpected ways. The relative response of the 2016 data was found for each period individually and compared below for:
Uncertainties
Evaluated using the bootstrap method
--
JacobHenryRawling - 2016-08-24