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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 1 Inclusive, prompt and non-prompt J/ production in pp collisions at 7 TeV Probing QCD at the LHC, Quarkonium2011, Vienna Darren Price, INDIANA UNIVERSITY on behalf of the ATLAS Collaboration
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 2 Introduction In this talk is presented measurement of the: Inclusive J/ production cross-section Fraction of J/ from B-decays Non-prompt J/ production cross-section Prompt J/ production cross-section using the ATLAS detector with ~2.2 pb -1 data from 2010 running. The measurements are presented both differentially as a function of J/ p T and rapidity, and integrated over the maximum span of these to provide integrated cross-sections Experimental uncertainties are at the 10—15% level across the range of measured cross-sections, and the results are systematics limited over the bulk of the distributions Results are compared to theoretical predictions from Colour Evaporation Model, Colour Singlet NNLO* and FONLL where appropriate. arXiv:1104.3038
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 3 Dataset selection and trigger Trigger selection: Use single muon seeded trigger (and Minimum Bias Scintillator based trigger in very early data-taking) with open (~0 GeV), 4 GeV and 6 GeV thresholds as instantaneous luminosity increased (to keep rate under control) B-fraction measurement uses a logical OR of all of these triggers, giving increased candidate events and (slightly) higher integrated luminosities Event-based selection: Has two reconstructed muons (with Inner Detector matched track). Three tracks associated to Primary Vertex (PV) Tracks associated to these muons/PV pass loose selection criteria of at least one pixel hit, and at least six hits in the Silicon tracker
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 4 Candidate selection Combined muon Muon spectrometer Calorimeters Inner Detector Tagged muon Muons associated to J/ candidate may be: Combined (full Muon Spectometer & Inner Detector track measurement with fit between the two) Tagged (Inner Detector measurement associated to at least one hit in Muon Spectrometer) Tagged increases chance of fake muon signature, so require at least one of muons in pair to be combined At least one muon in pair must have been the object that fired the trigger. Muons must have p>3 GeV, p T >1 GeV, | | 0, silicon hits>5
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 5 Event/candidate selection 2.2 pb -1 = 46 MeV = 111 MeV
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 6 Basic strategy of inclusive cross-section analysis method is: Reconstruct J/ candidates in p T -y bins Correct candidate-by-candidate for efficiency, bin migrations, acceptances N corr = w -1. N reco Fit resultant weighted yields to derive signal component N corr N J/ corr Extract resultant cross-section from N J/ corr in given analysis bin Measurement of inclusive cross-section Detector acceptance Reconstruction efficiency Trigger efficiency Bin migration ID reco efficiency (per muon track)
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 7 Spin-alignment and acceptance ATLAS CMS LHCb Graphic from C. Lourenco Acceptance maps correct from offline reconstruction efficiency to total inclusive distribution Model-dependent on spin-alignment scenario Also correct for differences between prompt and non-prompt J/ spectra
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 8 Bin migration and track/vertex efficiencies Bin migration effects Due to finite detector resolution J/ candidate measured in one bin at reconstruction level may be identified with a different analysis bin before smearing. Correct for by parameterising unfolded cross-section, smearing with muon resolution measured in ATLAS, and looking at change in yields in given bin Effect varies from 0.1% to 3% across measured phase space ID track reconstruction ID track reco efficiency correction 99.5% per (muon) track with 0.5% uncertainty per track added linearly Vertex requirement Require di-muon pair to fit to common vertex. Determined that impact on (real) J/ candidates was below 0.1% and so correction is neglected. Requirement does reduce continuum background
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 9 Trigger efficiencies Trigger efficiency maps derived from hybrid scheme of finely- binned Monte Carlo (needed to remove biases) reweighted using Tag & Probe data from J/ (low p T ) and Z (high p T ) decays Significant charge dependence observed (and corrected for) Muon turn-on thresholds needed accurate handling Fine granularity needed to properly model features (even at high p T ) Efficiencies plateau at around 80-100% dependent on pseudorapidity
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 10 Reconstruction efficiencies Reconstruction efficiency maps derived from Tag & Probe data from J/ supported by Z derived data at higher p T for improved precision in plateau region Reconstruction efficiency for low p T from J/ decays Reconstruction efficiency at high p T from Z data
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 11 Weighted fits and cross-section extraction For inclusive cross-section measurement, a binned 2 fit was used Was found to give stable unbiased weighted fit results w.r.t unbinned maximum likelihood fits once restricted to fine p T —y slices as in this analysis LOW P T, CENTRAL RAPIDITYHIGH P T, FORWARD RAPIDITY
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 12 Systematic studies: “acceptance” Acceptance map MC statistics: Obtained from dedicated MC simulation. Statistical uncertainties on maps bin-to-bin propagated through to final result (contribution at level of 1-2%) Bin migration effects Bin migration effects were studied, corrections applied (0.1—3%) and variation of bin migration within bin considered as systematic on correction ID track reconstruction ID track reco efficiency correction 99.5% per muon track with 0.5% uncertainty per track added linearly Kinematic dependence Variation of MC spectra to make acceptance maps, and correction for slight differences in non-prompt/prompt acceptance assigned as systematic (max 1.5%) Final state radiation Central result is corrected back to J/ kinematics rather than final state muon kinematics, systematic due to FSR is <0.1% (NB: taking effect of FSR on/off is overestimate)
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 13 Systematic studies: other components Spin alignment Spin-alignment uncertainty is maximum envelope of cross-section re-casted under different spin-alignment hypothesis Luminosity Quoted 3.4% uncertainty from Van der Meer scans Muon reconstruction efficiency Uncertainties on J/ reco. efficiency maps from data and uncertainties on MC/data scale factors propagated through to final result (5—10%) Fit uncertainty Derived via pseudo-experiments – approx. 1—3% contribution Trigger efficiency Similarly, uncertainties from data maps propagated through to final result (~5% effect) J/ vertex finding and primary vertex efficiencies Both these efficiencies retain more than 99.9% signal, no uncertainty assigned
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 14 Sources of uncertainty Sources of systematic uncertainty, and total uncertainties in each analysis bin
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 15 Inclusive cross-section results arXiv:1104.3038
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 16 Integrated inclusive cross-sections We also sum up the measured differential inclusive cross-sections in two regions and quote the integrated cross-sections (taking into account correlations in the uncertainties) For p T >7 GeV, |y|<2.4 (maximum rapidity span) For p T >1 GeV, 1.5<|y|<2.0 (maximum transverse momentum span)
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 17 Measurement of non-prompt fraction Perform simultaneous unbinned maximum likelihood fit on invariant mass and pseudo-proper time distribution (used as discriminant for prompt/non- prompt J/ ) to determine fraction in p T —y bins Mass fit: signal – gaussian with per-event error background – Chebyshev polynomial Lifetime fit: signal – delta function plus exponential convoluted with gaussian with per-event error to account for resolution background – symmetric positive/negative exponentials plus positive exponential convoluted with gaussian with per-event error for resolution
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 18 Simultaneous mass/lifetime fit projections
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 19 Systematic uncertainties for B-fraction Many systematics cancel fully or partially in taking the ratio. Effects studied include: Impact of acceptance, muon reconstruction, trigger efficiencies on fraction Cancellation within statistical uncertainties for efficiency Correction for non-prompt/prompt acceptance and uncertainty assigned Background model variations Per-event convolution function changed to per-event double Gaussian Chebyshev polynomial of degree 2 changed to 1 and 3 to test stability Spin alignment uncertainty of prompt/non-prompt components propagated Multiple primary vertices: No significant variation seen Mass region: wider mass, include/exclude (2S): Stable; no systematic assigned Simultaneous fit: mean invariant mass plotted as function of lifetime Found to be flat, no correlation systematic assigned
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 20 Non-prompt fraction results arXiv:1104.3038
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 21 Prompt and non-prompt cross-sections From inclusive cross-section and non-prompt fraction we can derive the prompt and non-prompt cross-sections Take into account uncertainty correlations that exist between the two measurements (overlapping data samples!) and merge analysis bins where required For the prompt cross-section we compare to predictions from NLO/NNLO* pQCD (Colour Singlet) [J.P.Lansberg] Colour Evaporation Model [R. Vogt] For the non-prompt cross-section we compare to predictions from Fixed Order Next-to-Leading-Log (FONLL) [M. Cacciari]
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 22 Non-prompt cross-sections Integrated cross-sections again provided in two regions: Assume isotropic distribution for spin-alignment central value (for consistency with inclusive and prompt results) Spin-alignment envelope for non-prompt covers possible variation from isotropic i = 0 to = ~±0.1 as measured by CDF/Babar (only * angle dependence!)
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 23 Non-prompt cross-section arXiv:1104.3038
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 24 Prompt cross-sections Integrated cross-sections again provided in two regions: Assume isotropic distribution for spin-alignment central value (for consistency with inclusive and prompt results) Spin-alignment envelope here covers maximal envelope of possible variation of result due to spin-alignment configurations in both angles * and *
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 25 Prompt cross-section results arXiv:1104.3038
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 26 Summary Measurement of inclusive cross-section of J/ in four rapidity bins from p T 1—70 GeV (span rapidity-dependent) [arXiv:1104.3038] Measurement of non-prompt production fraction and derivation of prompt and non-prompt production cross-sections from these two measurements Highest reach in p T of any previous such measurement Complementary results to other LHC measurements (rapidity and p T ), good agreement with CMS where measurements overlap Non-prompt FONLL predictions do good job of describing non-prompt production within scale uncertainties Description of prompt production more problematic, but clearly represent a step forward over historical predictions Expect many more results from quarkonia sector from ATLAS in future!
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 27 Additional slides
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 28 Di-muon invariant mass distribution Combined + combined di-muon pair, 15,2.5 GeV
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 29 Charge-dependence of muon reco./trigger Due to the toroidal magnetic field of the ATLAS Muon Spectrometer, muons with positive (negative) charge are bent towards larger (smaller) . Introduces a charge dependence of the muon reconstruction/trigger efficiencies, particularly relevant at very large | |, where muons of one charge may be bent outside the detector geometrical acceptance, and at low p T, where muons of one charge may be bent back before reaching spectrometer stations
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Darren Price – Production of J/ at ATLAS :: Quarkonium2011, Vienna :: April 18 th ‘11 Page 30 Charge-dependence of muon reco./trigger Reconstruction efficiency of Combined (CB) + Tagged (ST) muons as a function of charge*pseudorapidity in MC and data L OW P T H IGH P T
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