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Particle multiplicities in Minimum Bias events with the ATLAS detector. APS April Meeting 2011. Rémi ZAIDAN , The University of Iowa on behalf of the ATLAS Collaboration. Measurements and Motivations. Measurements made by the ATLAS detector : - PowerPoint PPT Presentation
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Particle multiplicities in Minimum Bias events with the ATLAS detector
Rémi ZAIDAN, The University of Iowa on behalf of the ATLAS Collaboration.
APS April Meeting 2011
Remi ZAIDAN - APS April Meeting 2011 2
• Physics motivation: improve the understanding of non-perturbative QCD.– by studying the properties of inelastic proton-proton collisions.
• Experimental motivation: model the pileup and underlying events.– Necessary for measuring physics processes at high energies.
• For the first time modeling of our detector is confronted to reality.
Measurements and Motivations
4/30/2011
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• Measurements made by the ATLAS detector:– Charged particle multiplicity, it’s dependence on pT and h and it’s correlation with pT.
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Remi ZAIDAN - APS April Meeting 2011 3
ATLAS detector overview
4/30/2011
• Pixels Detector: |h|<2.5– 3 barrel layers, 3 end-cap disks.– σrϕ 10 μ∼ m ; σz 115 ∼ μm
• Silicon Strip Detector (SCT): |h|<2.5– 4 barrel layers, 9 end-cap disks.– σrϕ 17 μm ; σ∼ z 580 μm∼
• Transition Radiation Tracker (TRT): |h|<2.1– ~ 32 quasi-continuous hits per track.– σr 130 μm∼
• Minimum Bias Trigger Scintillators:– 2 wheels at ±3.6 m:
• 8 cells: 2.12 < |η| < 2.83• 8 cells: 2.83 < |η| < 3.8
Remi ZAIDAN - APS April Meeting 2011 4
Overview of the analysis
4/30/2011
• Data samples:– 0.9 TeV: ~0.35 M events, ~4.5 M tracks (~7 mb-1).– 2.36 TeV: ~6 K events, ~ 40 K tracks (~0.1 mb-1).• The SCT detector was not at it’s nominal operation
mode:– Large systematics on pT measurements.
– Cannot go below pT = 500 MeV: particles need to cross the TRT because the pixel detector by itself does not provide a reliable pT measurement.
– 7 TeV: ~10 M events, ~210 M tracks (~190 mb-1).
Remi ZAIDAN - APS April Meeting 2011 5
Overview of the analysis
4/30/2011
• Analysis strategy:– All results are presented at hadron level
without correcting for diffractive components (details in backup slide):
• an iterative Bayesian procedure is used to correct charged particle multiplicity.
– Trigger: single arm minimum bias trigger.– Event selection: vertex + ≥ 2 tracks– Track selection: apply various quality cuts
and remove non-primary* tracks by cutting on impact parameter at the primary vertex.
– Phase-space: pT > 100 MeV ; |h| < 2.5 ; nch ≥ 2.
(pT > 500 MeV for 2.36 TeV)
*A primary particle is a direct product of hadronization or the product of a primary
particle whose lifetime is t < 10-11 s
Remi ZAIDAN - APS April Meeting 2011 6
Track ReconstructionValidation
4/30/2011
Basic track quantities show good agreement
between data and Monte Carlo:
Several corrections are applied to the Monte
Carlo plots to take into account beam spot
effects, disabled detector elements and
differences in the pT spectrum.
Remi ZAIDAN - APS April Meeting 2011 7
Track reconstruction
4/30/2011
• Tracking efficiency is determined from MC:– MC is validated against data.– parameterized as function of pT and .
• Main systematic uncertainties are due to the material mis-modeling in the MC. This was done using two complementary methods:– Look at bias in reconstructed K0 mass due to
energy loss (sensitive to radiation length).– Look at the fraction of tracks in the pixel
detector that are matched to a track in the full inner detector (sensitive to interaction length).
• Rate of non primary tracks is estimated from data:– by fitting the tails of the impact parameter
distributions.
Remi ZAIDAN - APS April Meeting 2011 8
Results: nch distribution
4/30/2011
Predictions for various models differ between each other, and do not agree well with the data.
At low nch, this is partially explained by the fact that the diffractive components play an important role in this region.
Remi ZAIDAN - APS April Meeting 2011 9
Results: dNch/dh
4/30/2011
The shape of the h distribution is well described by the different Models.
Discrepancies can be seen in the normalization.
Remi ZAIDAN - APS April Meeting 2011 10
Results: 1/2πpT · 1/Nev · d2Nch/dηdpT
4/30/2011
Measurements span 12 orders of magnitude.Model predictions agree better with data at intermediate momenta (0.5 to 3 GeV).
Large differences between measurements and predictions are seen at low and high pT.
Remi ZAIDAN - APS April Meeting 2011 11
Results: <pT> vs. nch
4/30/2011
Predictions for various models
differ significantly
between each other especially
at high nch.
Remi ZAIDAN - APS April Meeting 2011 12
Comparison with other experiments
4/30/2011
• Results from the various experiments agree rather well:– ALICE sees slightly less tracks at central
pseudo-rapidity than ATLAS and CMS.– Still agree within 1 sigma of the total
uncertainty.
Remi ZAIDAN - APS April Meeting 2011 13
Conclusion
4/30/2011
• Presented charged particle multiplicity measurements with the ATLAS detector at √s = 0.9 TeV, √s = 2.36 TeV and √s = 7 TeV.
• The charged particle multiplicity per unit of pseudo-rapidity at h=0 and pT>100 MeV was measured to be:– 5.635 ± 0.002 (stat.) ± 0.149 (syst.) at
√s = 7 TeV.– 3.486 ± 0.001 (stat.) ± 0.077 (syst.) at
√s = 0.9 TeV.• The difference between models are
larger at high √s for pT > 100 MeV.– The measured charged particle density is
higher than model predictions.
Remi ZAIDAN - APS April Meeting 2011 15
• Events are triggered with at least one hit on either sides of the MBTS scintillators.
• Efficiency measured on data with respect to a random trigger with a requirement on the minimal activity in the inner detector (Space Points trigger).
• Efficiency was checked to be flat in pT and h.
The Minimum Bias Trigger
4/30/2011
Minimum Bias Trigger Scintillators
Inner Detector
PointsSpace
PointsSpaceMBTSefficiency
&
• The trigger efficiency is parameterized as function of : the number of selected tracks where the tracks were extrapolated to the beam spot instead of the primary vertex in the absence of the vertex
BSseln
Remi ZAIDAN - APS April Meeting 2011 16
Vertex requirement
4/30/2011
• Tracks used to reconstruct the primary vertex are selected with slightly tighter cuts than the analysis tracks.
• The vertex efficiency is measured from data.– It is parameterized as function of the number of
selected tracks.– The dependencies on the longitudinal impact
parameter spread (Dz0) and pT for events with low track multiplicity are also taken into account.
• Pileup events removed:– veto events with a 2nd vertex with ≥ 4 tracks– Data was taken when pileup rate was ~ 0.1%
Dz0
Remi ZAIDAN - APS April Meeting 2011 17
Pileup removal
4/30/2011
• The fraction of events with more than one p-p interaction is estimated to be around 0.1% for the data collected at 7 TeV.
• The presence of such events might bias the tails on the nch distribution.
• Expect ~1% of events with a second reconstructed vertex:
– mostly fakes and secondary vertices with few tracks.
• Remove events with a second vertex with more than 3 tracks.
• Residual effects after pileup removal:– Fake pileup events removed: 0.03%– True pileup events not removed : 0.01%– True Pileup events reconstructed as single
vertex: 0.01%
Remi ZAIDAN - APS April Meeting 2011 18
Track selection cuts
4/30/2011
• Phase space: – pT > 100 MeV ; |h| < 2.5
• Tight impact parameter:– |d0| < 1.5 mm ; |z0sin(q)|<1.5 mm– whenever needed for events with no vertex, extrapolate tracks to beam spot and cut on
transverse impact parameter: |d0BS| < 1.5 mm
• B-Layer hit:– Only if expected (track doesn’t extrapolate to dead detector element).– Require 1 pixel hit if no B-Layer hit is expected.
• SCT hit requirements:– 100 < pT < 200 MeV: 2 SCT hits
– 200 < pT < 300 MeV: 4 SCT hits
– pT > 300 MeV: 6 SCT hits
• Track fit probability:– pT > 10 GeV : prob(c2,ndof) > 0.01
Remi ZAIDAN - APS April Meeting 2011 19
Non primary tracks
4/30/2011
• The rate of non-primary tracks is estimated by fitting the tails of the transverse impact parameter distribution on data:– Contribution from conversion
electrons and other types of non-primaries are fitted simultaneously.
– Results validated by fitting the longitudinal impact parameter as electrons from conversion look identical to other type of non-primary tracks.
Remi ZAIDAN - APS April Meeting 2011 20
High pT tracks
4/30/2011
• Large fractions of tracks at high pT are badly measured due to conspiracy of multiple effects:
– Large extrapolation at high h between Pixel and SCT detectors.– Hadronic interactions between Pixel and SCT detectors causing the tracks to “kink” in the
opposite direction of their curvature.– Rapidly falling pT spectrum such that a small migration from low pT become significant at high
pT.
• Remove those tracks by cutting on the c2 probability of the track fit for pT > 10 GeV.
Remi ZAIDAN - APS April Meeting 2011 21
• All results are corrected back to the hadron level:– No attempt to subtract diffractive components.
• Event level correction for vertex and trigger efficiencies:
• Track level correction for tracking efficiency, non-primary tracks and tracks from outside of the kinematic range:
• Unfolding of the charged particle multiplicity distribution using a recursive Bayesian approach (a similar approach is used to correct for pT resolution):
• Correct analytically for events lost in the nsel=0,1 bins:
Correction Procedure
4/30/2011
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1
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1)(
BSselvtx
BSseltrig
BSselev nnnw
)),(1()),(1(),(
1),( sec
TokrT
TtrkTtrk pfpf
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))1()1(1()1,0|( 1 chch ntrktrkch
ntrkselch nnnP
)(
)()|()|(;)|()()(
2 sel
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nselchselch nP
nPnnPnnPnnPnPnP
sel
Remi ZAIDAN - APS April Meeting 2011 22
Monte Carlo Models
4/30/2011
*AMBT1: New tune giving a high weight to the recent ATLAS results with pT > 500 MeV and nch ≥ 6.
MC model Description
Pythia 8 Includes a hard component to the diffraction unlike Pythia 6.
Pythia 6.4:AMBT1
Tuned including ATLAS data. Based on the MC09 tune with reduced color reconnection. Focuses on matching ATLAS measurements in non-diffractive
regimes.
Pythia 6.4:MC09
The ATLAS collaboration’s tune to CDF data at taken at 630 GeV and 1.8 TeV. Uses pT-ordered shower & color reconnection. The ISR and MPI cutoff scales
are tuned separately. Uses the MRST LO* PDF.
Pythia 6.4:DW
By Rick Field. Maximal ISR, virtuality-ordered shower. To fit data on the di-jet angular distribution measured by the D0 collaboration. Tune is intended to
provide a good description of the underlying event, but high ISR yields mismatches in other processes.
PhoJetDual Parton Model based, using pomeron exchange for soft QCD interactions. Incorporates a model for high-mass diffraction dissociation including multi-jet
production. The parameters & Pythia version used in the ATLAS tune are different from the standard tune by Ralph Engel
Remi ZAIDAN - APS April Meeting 2011 23
References
4/30/2011
• ATLAS latest paper on minimum bias measurements at 0.9, 2.36 and 7 TeV:– arXiv:1012.5104v1 [hep-ex]
• ATLAS conference notes with more details and preliminary results:– 0.9 and 7 TeV: ATLAS-CONF-2010-046– 2.36 TeV: ATLAS-CONF-2010-047
• Minimum bias comparison plots between LHC experiments:– http://lpcc.web.cern.ch/LPCC/index.php?page=mb_ue_wg_docs
• Monte Carlo Tunes:– MC09 : PHYS-PUB-2010-002– AMBT1: ATLAS-CONF-2010-031
• ATLAS detector description:– The ATLAS Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider,
JINST 3 (2008) S08003