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g + b, g + c production. Tara Shears, University of Liverpool. Motivation. Good testbed for quantitative QCD tests +c events could be used to probe charm quark content of proton bb, cc events: imperfect NLO description
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g + b, g + c production Tara Shears, University of Liverpool
Motivation • Good testbed for quantitative QCD tests • +c events could be used to probe charm quark content of proton • bb, cc events: imperfect NLO description • + heavy flavour sensitive to new physics (eg. chargino neutralino production)
LO NLO Production Dominates for gc Diagrams equal for gb Coupling charge2 s(cg) ~ 4.s(bg) b quark ~ 60% c quark content of p (PRD 012003)
Method: Apply standard run 2 g selection Estimate fakes from CPR info Use tagging algorithm for b/c id Run 1 used lepton pt We use sec. vtx tag (SECVTX – will update with better) Divide data into Et bins, tag, take b,c frac. from MC => s Datasets: CPH108 (25 Iso trigger) Good online run, clc, smx, cal, trigger, svx Good offline cal,cot L = 66.05 3.76 pb-1 MC: Pythia g + jet (LO) Will use madgraph for NLO Method / data
Photon + jet sel. eff. Require at least 1 jet > 15 GeV, >=2 tracks, for tagging
Tagging eff. & composition From Pythia MC..
Data s(gq) = N(gq)/(eff(gjet).eff(tag).eff(trg).L) = no.tags * q fraction Not known yet
Systematic errors • Photon + jet selection: ±1.7% from g id (test on Z, loose cuts) • Jet e scale: not yet done • Fake rate est.: use standard procedure • B/c fractions: take arbitrary ±10% • SECVTX systematics: not yet done (small for top) • Trigger systematics: not yet done • Luminosity: use quoted ±5.8%
Results 1. gb Nb. E(trg) = 1 here!
Results 2. gc Nb. E(trg) = 1 here!
Indications of excess at high Et? Points: data (stat. Error and sysstat shown by notches) Histogram: Pythia g+jet (LO)
Indications of excess at high Et? Points: data (stat. Error and sysstat shown by notches) Histogram: Pythia g+jet (LO)
Work plan Immediately: • Trigger efficiency (+sys.) • SECVTX tagging sys., jet selection sys. • Other photon backgrounds (eg. e->g) (small) • Add more data Next: • Tighten photon cuts to reduce fake, use CES • Derive b/c fraction from data • Use improved b/c tag • Compare to NLO (Madgraph?) Longer term: • Extend to lower photon Et