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Z Cross Section etc
Paul Telford (and Emily Nurse)University of Manchester
Manchester Group MeetingJanuary 5th 2005
Introduction
• Main body of the talk will focus on the updated Z cross section result which I worked upon with Emily
• Will briefly discuss other work that I have been involved in
• Includes W cross section measurement, which we hope to update soon
Z Cross section Motivation
• In combination with W cross section allows an indirect measurement of the W width
• Experimentally useful as allows calibration of detector, triggers.
• Use to gain understanding of effects such as Underlying event, tracker alignment in well understood process
• Determine using following formula
• BR = Ncand.(1-fbkd)/.Luminosity
• Count number of candidate events Ncand
• Determine the luminosity of sample
• Estimate the Background fraction of Ncand
using data (cosmics, QCD) and MC (Z)
• Evaluate acceptance using fast MC and efficiencies from data
• Won’t talk about event selection in detail… leave this to Nasim
• Backgrounds small (~1%), won’t discuss
• Evaluate with fast MC simulation, PMCS
• Parameterise the effect of detector resolution
• Tune parameters to data
• Measure track, muon-ID and trigger effs in data
• Introduce into PMCS as function of geometry
• Co-ordinates chosen for unbiased efficiencies
Total Efficiency
Result • Result = 291.3 ± 3.0 (stat) ± 6.9 (syst) ± 18.9
(lumi) pb cf theoretical prediction ≈ 250 pb
• Largest systematic due to luminosity (6.5%)
• Second largest due to Choice of PDF (1.7%)
• Largest `experimental’ uncertainty due to modelling of the muon system efficiencies (1.0%)
• Others from Uncertainty in beamspot distribution (0.6%), backgrounds in Efficiency(0.5%)….
• Statistical Uncertainty on candidates (0.9%)
• Statistical Uncertainty on the Efficiency (0.6%)
PDF Uncertainty
• PDFs parameterise the probability to get parton of a given type with given energy
• CTEQ6 comes with uncertainties on parameters
• Uncertainty on observable calculated from sum of uncertainties due to those on parameters
• Requires to evaluate observable 41 times…need large samples to control stat uncertainty
• Wrote toy MC to model these fluctuations … need 100M events to get uncertainty to < 0.1%
Muon System Uncertainty
• Muon chambers divided into octants in phi
• Efficiency lower in boundary between octants
• No hard definition of these regions
• Try to distinguish models of these regions, but limited by statistics
Cross Checks
• Main body of work this year has been cross checks
• Use GEANT simulation to check no biases present in tag and probe
• Check acceptance using HERWIG
• Check trigger efficiency using independent trigger
• And lots more ….
W Cross Section
• Also involved with a measurement of the W cross section
• Similar to Zs, but have tighter cuts due to higher backgrounds
• My particular concern is the efficiencies, in particular the correlations between the W and Z analyses
Other Work
• Am responsible for making public the aspects of the fast MC utilised in these analyses
• Have assumed responsibility for interfacing the new PDF interface with D0 software
• Done `Consultancy’ work for MC aspects of equivalent measurements in Electron Channel
• Given talk at DPF conference on Doubly Charged Higgs production in four muon decay channel
Conclusions and Future Plans
• Described an overview of the measurement of the Z cross section
• Immediate future involves updating W cross section and the ratio between W and Z cross sections
• Also continue to release (and document) the fast MC side of things for the benefit of all the collaboration