Francesco Prino INFN – Sezione di Torino for the ALICE COLLABORATION

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Presentation transcript:

Francesco Prino INFN – Sezione di Torino for the ALICE COLLABORATION Open heavy flavor production in p-p collisions in the ALICE experiment at the LHC Francesco Prino INFN – Sezione di Torino for the ALICE COLLABORATION

Heavy flavors in ALICE Physics Motivations A-A collisions Probe the high density medium via heavy quark energy loss, flow, hadronization mechanism … p-p collisions Reference for quenching studies in AA Test pQCD predictions in a new energy regime (3.5sTEVATRON) Probe an unexplored region of small Bjorken x with charm at low pT and/or forward rapidity Down to x ≈ 10-4 with low-pT charmed hadrons in the central rapidity region and down to x≈10-6 with charm at forward rapidity (y=4) p-A collisions Address initial state effects (Cronin enhancement, nuclear PDFs) Muon Arm Central Barrel

Heavy quarks in p-p Charm production on the upper edge of theory predictions at Tevatron and RHIC Beauty differential cross section at Tevatron and LHC well reproduced by pQCD calculations CDF: b->B->J/y CDF RunII: c->D , PRL 91:241804 (2003)

Heavy flavors with ALICE Open charm from hadronic decays at central rapidity D0  K-π+ D+  K-π+π+ D*+  D0π+ D0  K-π+π+π- Ds  K-K+π+ Λc +  pK-π+ Open charm and open beauty from semileptonic decays D, B  e + X (central rapidity) D, B  μ + X (forward rapidity) Open beauty from non-prompt J/y at central rapidity B  J/Ψ  e+e- EMCAL ITS TRD MUON TPC TOF ITS: vertexing + tracking TPC: tracking + PID (π, K, e) TOF: PID (π, K, p) TRD: PID (π, e) EMCAL: PID (e) MUON: m tracking + PID

p-p at s= 7 TeV: Trigger and data sample Minimum bias trigger SPD (Silicon Pixels, |h|<2) or V0A (Scintillator , 2.8<h<5.1) or V0C (Scintillator, -3.7<h<-1.7) At least 1 charged particle in 8 units of pseudo-rapidity 95% of sinel Activated in coincidence with BPTX beam pickups Single muon trigger Forward muons in coincidence with minimum bias trigger Data sample ≈8.5108 Min. Bias events and ≈1.3108 muon triggers collected in p-p 2010 run Analysis shown here based on 1.4 nb-1 for electrons and D mesons, 3.49 nb-1 for muons

Single muons MUON (tracking,id) m -4<h<-2.5 Prague, 07.11.2007 Andrea Dainese -4<h<-2.5

Heavy-flavor single muon Analysis strategy Require muon trigger signal to remove hadrons and low pt secondary muons Remove residual decay muons by subtracting MC dN/dpt normalized to data at low pt Alternative method: use muon distance-of-closest-approach to primary vertex What is left are muons from charm and beauty Apply efficiency corrections

Systematics Systematic error from the subtraction of background from decay muons from p and K ≈20% Use different PYTHIA tunes (Perugia-0 vs. ATLAS-CSC) and vary secondary yield to estimate systematic error Systematic error from the efficiency correction ≈5% Due to the description of the detector response in the MC and (to a much lower extent) to the pt shape of the signal used as input in the MC

Heavy flavor single muon: ds/dpt Integrated luminosity: 3.49 nb-1 Statistical errors within markers 10% systematic error on MB cross section (due to luminosity uncertainty) not included pt differential cross section for muons from B and D decays measured in pt range 2.0-6.5 GeV pt reach can be extended (up to 20 GeV/c) with improved alignment and increased statistics pQCD prediction (FONLL) reproduces the shape of measured cross section and is in agreement with data within errors

Single electrons ITS (tracking+vertexing) TPC (tracking + e/p id) TOF (p/K/p+e id) e Next step: use TRD and EMCAL to extend the electron identification to higher momenta

Heavy-flavor electrons Present analysis strategy (“the Cocktail”) Reconstruct inclusive electron transverse momentum spectrum From high quality TPC+ITS tracks, requiring a hit in the innermost ITS layer to reduce contribution from electrons from photon conversion in the material Electron identification using time-of-flight in TOF and dE/dx TPC Efficiency and acceptance corrections from Monte Carlo simulations Extract electrons from heavy flavor decays by subtracting the pt spectrum of background contributions from an electron cocktail Next step: Exploit the high resolution on track impact parameter to select electrons from heavy flavor decays (beauty in particular) MC simulations

Electron identification Present strategy based on TOF and TPC TOF resolves momentum regions where electron dE/dx in TPC crosses kaon and proton curves Effective for pt<4 GeV/c TOF rejects kaons for p<1.5 GeV/c and protons for p<3 GeV/c Further hadron rejection with TPC n. sigma cut with respect to electron expected dE/dx Remaining hadron contamination estimated from data and subtracted

Corrected spectrum and cocktail 110 M Min Bias events ≈20% of collected data Cocktail ingredients: Dalitz decay of neutral pions from measured p0 spectrum Heavier mesons (h, h’, r, w, f) implemented via mT scaling Photon conversion (in beam pipe and innermost ITS layer) Excess of electrons wrt the cocktail comes from charm and beauty (+ J/ψ and direct radiation)

Hadronic charm TOF (p/K/p id) TPC (tracking + p/K/p id.) ITS (tracking+vertexing) K p D0  K-π+ D+  K-π+π+ D*+  D0π+ D0  K-π+π+π- Ds  K-K+π+ Λc +  pK-π+

D meson reconstruction Analysis strategy: invariant-mass analysis of fully-reconstructed topologies originating from displaced vertices Build pairs/triplets/quadruplets of tracks with correct combination of charge signs and large impact parameters Particle identification from TPC and TOF to reject background (at low pt) Calculate the vertex (DCA point) of the decay tracks Require good pointing of reconstructed D momentum to the primary vertex

D mesons: selection tools Tracking and vertexing performance is crucial Inner Tracking system (ITS) with 6 Si layers Two pixel layers at 3.9 cm (closest barrel layer at LHC) and 7.6 cm. Track impact parameter resolution is 75μm at 1 GeV/c and is well described in MC Also the mass dependence is well understood

D0 K-p+ Signals from 108 events 7 pt bins in the range 1<pt<12 GeV/c Selection based mainly on cosine of pointing angle and product of track impact parameters (d0Kd0p)

D+ K-p+p+ Signals from 108 events 6 pt bins in the range 2<pt<12 GeV/c Selection based mainly on cosine of pointing angle and D+ decay length

D*(2010)+ D0p+ Signals from 0.85108 events 6 pt bins in the range 2<pt<12 GeV/c Strategy: topological selection of D0, attach a pion and build Dm = mKpp-mD0 spectra

Other channels D0  K-π+π+π- Ds+  K-K+π+ Λc +  pK-π+

From signals to cross-sections From fits to invariant mass spectra Correction for BD feeddown: Currently from FONLL predictions + selection efficiencies from MC Next: from data using impact parameter distribution of D mesons Correction for reconstruction and selection efficiency: From MC simulations

D0 and D+: ds/dpt From an integrated luminosity of 1.4 nb-1 ~20% of 2010 statistics Measured pt differential cross sections described by pQCD predictions (FONLL and GM-VFNS)

Looking forward to PbPb

First D-meson signals observed! Detector is well performing!

Conclusions ALICE demonstrated excellent capabilities for open heavy flavor physics at the LHC Excellent electron and hadron particle identification High resolution on vertex and track impact parameter Precise tracking down to low pt First results on pt differential cross-sections: muons from c and b at forward rapidity D mesons at midrapidity in agreement with the pQCD predictions Ongoing: Study of systematics on the semi-electronic channel Data (impact parameter) based methods to separate charm and beauty contributions in D meson and electron analyses Extension of the measured differential cross-section to lower and higher pt Analysis of Pb-Pb data sample

Backup

Beauty at the LHC Beauty production at 7 TeV FONLL vs. CMS data: J/y and m from B

Heavy-flavours in ALICE ALICE channels: electronic (|h|<0.9) muonic (-4<h<-2.5) hadronic (|h|<0.9) ALICE specific features: low-pT region central and forward rapidity regions Both c and b Precise vertexing in the central region to identify D (ct ~ 100-300 mm) and B (ct ~ 500 mm) decays

Spatial resolution (mm) Inner Tracking System 6 cylindrical layers of silicon detectors: Layer Technology Radius (cm) ±z (cm) Spatial resolution (mm) rf z 1 Pixel 4.0 14.1 12 100 2 7.2 3 Drift 15.0 22.2 38 28 4 23.9 29.7 5 Strip 38.5 43.2 20 830 6 43.6 48.9 provide also dE/dx for particle idetification L= 97.6 cm Silicon Pixel Detectors (2D) Silicon Drift Detectors (2D) Silicon Strip Detectors (1D) R= 43.6 cm

Time Projection Chamber Main tracking detector Characteristics: Rin 90 cm Rext 250 cm Length (active volume) 500 cm Pseudorapidity coverage: -0.9 < h < 0.9 Azimuthal coverage: 2p # readout channels ≈560k Maximum drift time: 88 ms Gas mixture: 90% Ne 10% CO2 Provides: Many 3D points per track Tracking efficiency > 90% Particle identification by dE/dx in the low-momentum region in the relativistic rise

Time Of Flight TOF Multigap Resistive Plate Chambers Characteristics: for pion, kaon and proton PID Characteristics: Rin 370 cm Rext 399 cm Length (active volume) 745 cm # readout channels ≈160k Pseudorapidity coverage: -0.9 < h < 0.9 Azimuthal coverage: 2p Provides: pion, Kaon identification (with contamination <10%) in the momentum range 0.2-2.5 GeV/c proton identification (with contamination <10%) in the momentum range 0.4-4.5 GeV/c TOF Pb-Pb, dNch/dy=6000

Muon trigger effect

MB vs. muon trigger The shape of spectra (with trigger match) is the same in Minimum Bias (MB) and Muon triggered events Using Muon trigger to get larger statistics MB triggers used for cross-check and normalization

Heavy flavor single muons: efficiency Efficiency > 87% for pt>2.5 GeV/c

Estimate the fraction of primary muons from data The collision occurs in the beam crossing region, which has a gaussian profile with Narrow width in the transverse plane (sxy≈50-100 mm) Wider (sz≈5 cm) along the beam direction Exploit the fact that the probability that an hadron decays before reaching the absorber (i.e. the probability of having a decay background muon) is proportional to the distance between the interaction vertex and the absorber

Electron identification in TPC

Electron efficiency

D0: data vs. MC Distributions of cut variables Sigma of invariant mass peak

D+: data vs. MC Distributions of cut variables Sigma of invariant mass peak

D0 and D+: systematics Total systematic 20-40% pt-dep. + 10% on normalization. Main systematic error: B feed-down from FONLL+MC Two methods considered (subtraction of D from B, fraction of prompt D) To be reduced using data driven method with full 2010 statistics

D* efficiency and yield Only statistical error Shape compares well with pQCD (FONLL)

D meson ratios D0/D+ ratio in agreement with previous experiments at lower energy

D meson ratios D0/D* ratio in agreement with previous experiments at lower energy