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Measurement of the Z boson cross-section in - Harvard University ...

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Contents vi<br />

Electron reconstruction <strong>in</strong> <strong>the</strong> calorimeter . . . . . . . . . . . 120<br />

Photon reconstruction <strong>in</strong> <strong>the</strong> calorimeter . . . . . . . . . . . . 121<br />

Reconstruction <strong>of</strong> miss<strong>in</strong>g transverse energy . . . . . . . . . . 122<br />

4.2.3 Reconstruction <strong>in</strong> <strong>the</strong> Muon Spectrometer . . . . . . . . . . . 124<br />

Standalone muon reconstruction . . . . . . . . . . . . . . . . . 125<br />

Comb<strong>in</strong>ed muon reconstruction . . . . . . . . . . . . . . . . . 134<br />

Inner detector based muon tagg<strong>in</strong>g . . . . . . . . . . . . . . . 136<br />

Calorimeter-based muon tagg<strong>in</strong>g . . . . . . . . . . . . . . . . . 137<br />

4.2.4 Efficiencies <strong>in</strong> <strong>the</strong> muon system . . . . . . . . . . . . . . . . . 138<br />

Drift tube efficiency . . . . . . . . . . . . . . . . . . . . . . . . 139<br />

Reconstruction efficiency <strong>of</strong> comb<strong>in</strong>ed muon tracks . . . . . . 143<br />

5 Monte Carlo Simulation 152<br />

5.1 Overview <strong>of</strong> Monte Carlo event generation and simulation . . . . . . 152<br />

5.2 Monte Carlo generators used <strong>in</strong> this analysis . . . . . . . . . . . . . . 154<br />

5.2.1 Pythia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154<br />

5.2.2 POWHEG . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155<br />

5.2.3 FEWZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156<br />

5.2.4 Monte Carlo samples used <strong>in</strong> this analysis . . . . . . . . . . . 157<br />

5.2.5 The ATLAS detector simulation . . . . . . . . . . . . . . . . . 157<br />

6 Event Selection 160<br />

6.1 Z event selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160<br />

6.1.1 Properties <strong>of</strong> <strong>the</strong> preselected sample . . . . . . . . . . . . . . . 165<br />

Hit distributions . . . . . . . . . . . . . . . . . . . . . . . . . 165<br />

K<strong>in</strong>ematic distributions . . . . . . . . . . . . . . . . . . . . . . 171<br />

6.2 Z signal acceptance and efficiencies . . . . . . . . . . . . . . . . . . . 171<br />

6.2.1 Monte Carlo event reweight<strong>in</strong>g ow<strong>in</strong>g to pile-up . . . . . . . . 174<br />

6.2.2 Acceptance <strong>of</strong> Z selection from Monte Carlo cutflow . . . . . . 175<br />

6.2.3 Factoriz<strong>in</strong>g <strong>the</strong> acceptance: AZ and CZ ............. 177<br />

Fiducial acceptance AZ ...................... 177<br />

Event detection efficiency CZ .................. 178<br />

6.2.4 Estimation <strong>of</strong> efficiency scale factors . . . . . . . . . . . . . . 180<br />

Trigger efficiency for s<strong>in</strong>gle muons . . . . . . . . . . . . . . . . 180<br />

Trigger efficiency and scale factor for Z → µµ events . . . . . 185<br />

Reconstruction efficiency and scale factor for Z → µµ events . 188<br />

6.2.5 Muon momentum scale and resolution . . . . . . . . . . . . . 189<br />

Muon momentum scale and resolution from cosmic events . . 192<br />

Effect <strong>of</strong> momentum scale and resolution on Z → µµ acceptance 199<br />

6.2.6 Isolation cut efficiency for Z → µµ events . . . . . . . . . . . . 200<br />

6.2.7 Theoretical uncerta<strong>in</strong>ty on CZ .................. 202<br />

6.2.8 Summary <strong>of</strong> systematic uncerta<strong>in</strong>ties . . . . . . . . . . . . . . 202

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