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Author: Javier Santaolalla Camino
Measurement of electroweak processes in muon decay channels, in pp collisions at sqrt(s)=7 TeV, in the CMS experiment at the LHC Author: Javier Santaolalla Camino Supervisors: Dr. Juan Alcaraz Maestre Dr. Begona de la Cruz Martinez Dr. Isabel Josa Mutuberria
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Outline LHC and CMS Drift Tube Chamber Calibration
Muon momentum scale and resolution W inclusive production W + charm production
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27 km long accelerator 100 m underground Proton-proton collisions at 7 TeV cms ~1033 cm-2 s-1
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CMS
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CMS Commissioning underground
Cosmic muons In absence of proton beam, the detector is commissioned with cosmic muons Several data taking campaigns to calibrate the detector CMS Commissioning underground 2011 2010 CRAFT‘08 B off B on 2008
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CMS Commissioning underground
Cosmic muons In absence of proton beam, the detector is commissioned with cosmic muons Several data taking campaigns to calibrate the detector CMS Commissioning underground 2011 2010 2008 Drift Velocity Segment Efficiency
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Early operation phase. First 3 pb-1 collected (Calibration)
p-p collisions at 7 TeV Studied with MC before collisions ~ 400 Z bosons into muons per pb-1 collected 3.6 pb-1 delivered 3.3 pb-1 recorded 2011 2010 2008 Early operation phase. First 3 pb-1 collected (Calibration)
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Early operation phase. First 3 pb-1 collected (Calibration)
p-p collisions at 7 TeV Studied with MC before collisions ~ 400 Z bosons into muons per pb-1 collected Muon momentum scale and resolution 2011 2010 2008 Early operation phase. First 3 pb-1 collected (Calibration)
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36 pb-1 p-p collisions at 7 TeV Physics results
47 pb-1 delivered 36 pb-1 recorded 2010 2009 2008 Precision measurements on EWK physics
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W boson inc. production W+charm production 36 pb-1
p-p collisions at 7 TeV Physics results W boson inc. production W+charm production 2010 2009 2008 Precision measurements on EWK physics
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DT chamber calibration
Drift chambers DT chamber calibration Drift velocity DT segment efficiency
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Drift tubes in CMS MB4 MB3 MB2 MB1 S5 y Φ X 5 θ x z
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Drift tubes in CMS D = (th – ti) vd
If we consider vd constant, we can compute the passing point of the muon as: D = (th – ti) vd
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Drift tubes in CMS D = (th – ti) vd
We can reconstruct the trajectory of the muon with up to 44 “hits” in the drift cells Good calibration is necessary for a good reconstruction: time offset calibration drift velocity calibration Guarantee a high reconstruction efficiency in a chamber (segment efficiency)
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Drift Velocity Calibration: Meantimer
Cosmic muons Drift velocity determination With the muon incident angle Drift Velocity Calibration With the magnetic field in the cell Drift velocity variation with different effects With the signal propagation
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Drift Velocity Calibration: Meantimer
Cosmic muons Drift velocity determination With the muon incident angle Drift Velocity Calibration With the magnetic field in the cell Drift velocity variation with different effects With the signal propagation
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Drift Velocity Variation
Apparent drift velocity veriation with the signal propagation With the muon incident angle
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Drift Velocity Variation
With the magnetic field in the cell
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4D Segment efficiency We consider events…
Cosmic Muon We consider events… with 3 4D segments in the same sector and wheel triggered in the other half-hemisphere of CMS with the extrapolation point to the test chamber within a fiducial volume with enough “hits” to ensure a good extrapolation (> 12 in φ, > 4 in θ) and low extrapolation error (< 1.5 cm) Selected ~1:100 of the intial sample: ~150 Kevents
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4D Segment efficiency Cosmic muons 2% lower efficiency
in θ super-layers
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Scale and resolution in muon momentum
The SiDrA method Scale and resolution in muon momentum
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Muon momentum scale and res
The accuracy on the pT measured will depend on the intrinsic resolution in the form: The CMS event simulation try to reproduce the detector conditions, including effects that could spoil the pT resolution: multiple scattering in the iron, the mapping of the magnetic field… However the real conditions could differ from what we simulate due to effects not considered in the simulation or not accurate enough. Our goal is to have a MC simulation as close to reality as we can We make use of the Z resonance
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Muon momentum scale and res
Z mass peak highly unaffected by theoretical uncertainties (PDF, ISR…) Comparison Pythia-ResBos Z boson selection Selection of events with 2 high pT, isolated muons. Quality criteria applied to the reconstructed muons. Invariant mass of the dimuon system in the range [70,110] GeV. ~ 400 Zµµ per pb-1
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The SIDRA method Z boson NLO POWHEG sample Take muon pT from MC
Distort it with terms Compute Z resonance and compare with data one Change δ and σ We get a prediction that reproduces better the data Fit converged? NO YES Binned log-likelihood fit
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The SIDRA method In general σ and δ may depend on the muon η and φ
Tests on this dependence suggests A sinusoidal form in φ and a parabolic form in η for δ A parabolic form in η for σ
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The SIDRA method: results
Syst. unc. of the order of 100 MeV (δ) and 400 MeV (σ)
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Cross section measurement
W inclusive production W selection Signal extraction Cross section measurement
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W inclusive production
W are mainly produced in p-p collisions via: Measurement of the production cross section is interesting: To test the SM in a new energy regime It gives constraints to proton PDF Benchmark for W and lepton reconstruction Background of many analysis
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W inclusive cross section at 7 TeV in the muon channel
Measurement W inclusive cross section at 7 TeV in the muon channel Signal extraction Selection Acceptance Luminosity Efficiency
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W signature High pT, isolated lepton Large MET in the event (neutrino)
Isolation = Amount of energy in a cone centered in the µ direction High pT, isolated lepton Large MET in the event (neutrino) Lepton and MET back-to-back in the transverse plane (low acoplanarity) MET MET Missing Transverse Energy = -ΣET Acoplanarity = Angle between the µ and the ν in the transverse plane
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Cosmic muons, decays in flight
Backgrounds Several processes with similar signature to that of the signal: Highest cross section Partially removed exploiting the differences with signal QCD multijet events Zµµ, reduced with 2nd muon veto Wτν, Zττ Dibosons, low cross section EWK processes 2 W bosons in the final state Low cross section ttbar “Fake muons” that can contaminate the sample Cosmic muons, decays in flight
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Cosmic muons, decays in flight
Backgrounds Several processes with similar signature to that of the signal: Highest cross section Partially removed exploiting the differences with signal QCD multijet events Zµµ, reduced with 2nd muon veto Wτν, Zττ Dibosons, low cross section EWK processes 2 W bosons in the final state Low cross section ttbar “Fake muons” that can contaminate the sample Cosmic muons, decays in flight
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1 2 3 4 Low pT muons QCD multijet events Flat isolation distribution
Low MT of the W candidate Flat acop. 4
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Reject cosmic background
Wµν selection Good pT measurement Selection of a good muon: Good χ2 of the fit Minimum number the “hits” in the tracker Detection by at least 2 muon chambers Transverse impact parameter < 2mm Muon in the range -2.1 < η < 2.1 High muon pT (>~25 GeV) Low isolation variable (<~0.1) The MT/MET is used for the signal extraction Reject punch-through Reject cosmic background Optimization process QCD multijet events 0.6% With MET>20 GeV EWK processes 6% ttbar 0.4%
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A pT cut at ~25 GeV seems to be optimal
Optimization process Goal: minimize the uncertainty pT cut TOTAL A pT cut at ~25 GeV seems to be optimal ISR effect PDF unc. QCD modelling The uncertainty on the ISR (Initial State Radiation) affects the muon pT. ISR effect The W yield is extracted from a fit to the MET components. A missmodeling of the QCD bkg could affect the yield measured QCD Mod.
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A pT cut at ~25 GeV seems to be optimal
Optimization process Goal: minimize the uncertainty pT cut TOTAL A pT cut at ~25 GeV seems to be optimal ISR effect PDF unc. QCD modelling As we increase the pT cut, we enter the signal domain. Any uncertainty on the muon pT affects directly the yield ISR effect As we increase the pT cut, we reject more QCD background, so we reduce the uncertainty in its modelling QCD Mod. PDF unc No effect expected/observed
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An iso cut at ~0.1 seems to be optimal
Optimization process Goal: minimize the uncertainty Iso cut TOTAL ISR effect PDF unc. QCD modelling An iso cut at ~0.1 seems to be optimal Iso = 0.15 Iso = 0.1
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Signal extraction We fit the MT/MET distribution to the different components (templates): Wµν MC template corrected with data QCD multijet events Template from data EWK, ttbar and others Template from MC Fixed in the fit
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1 2 3 W and Z bosons Have similar recoil models
Are produced at similar Q2 Production and decay are similar MC template corrected with data QCD multijet events EWK, ttbar and others Extract information from the Z boson and apply it to the W boson Goal: improve the MET description in the MC W sample 1 We take the MC W boson pT We extract the MET corresponding to that W pT for the Z in data We apply this MET to the W boson 2 Data MET = all energy in the event except the 2 muons 3
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1 2 Wµν Isolation inversion QCD multijet events Template from data
EWK, ttbar and others 2 Inversion correction Final template
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Measurement Nsignal Selection procedure
Nbackground Signal extraction (MT/MET fit) Acceptance MC simulation, # events in the detector phase space Efficiency Computed with the Tag&Probe method (Z resonance) Luminosity 36 pb-1 ±4% Efficiency Acceptance
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Systematic uncertainties
Momentum scale PDF uncertainty SIDRA Difference between PDF sets MET scale Background modelling Difference between templates (MC and data) Difference between templates (MC and data)
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Results W+ W- W Yield Cross section (nb) 84315±290 56911±239
141226±376 5.93±0.26 4.17±0.19 10.1±0.43
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Results
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W + charm prodcution W+charm selection Rc± and R± measurement
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Direct access to s quark PDF
W+charm production In proton-proton collisions the W+c proceeds predominantly via: Direct access to s quark PDF Other channels: d Are Cabbibo supressed
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W+charm measurement We measure the ratios
that are sensitive to the s quark PDF With this definition: We avoid the computation of efficiencies Many systematic uncertainties cancel out. Theoretical predictions
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Event selection We select events with a W… …and at least one jet…
Same requirements than in the W inclusive prod. + MT>50 GeV …and at least one jet… In the region -2.1 < η < 2.1 ET > 20 GeV Less than 3 jets with ET > 40 GeV (ttbar rejection) Main backgrounds Top and single-top W + light jets Other bckg High jet multiplicity High decay length Biggest contribution Low decay length W+b(b), EWK
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Event selection We select events with a W… …and at least one jet…
Signal: 12.6% of final sample We select events with a W… Same requirements than in the W inclusive prod. + MT>50 GeV …and at least one jet… In the region -2.1 < η < 2.1 eT > 20 GeV Less than 3 jets with eT > 40 GeV (ttbar rejection) Main backgrounds Top and single-top W + light jets Other bckg 0.8% of final sample 82% of final sample 4.6% of final sample
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W+c extraction SSVHE Simple Secondary Vertex High Efficiency Defined as log(1+S) with S the decay length significance Separates heavy and light jets from charm HE at least two tracks per vertex POSITIVE NEGATIVE
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W+c extraction SSVHE Simple Secondary Vertex High Efficiency Defined as log(1+S) with S the decay length significance Separates heavy and light jets from charm HE at least two tracks per vertex Different shapes We are sensitive to the amount of W+charm Clear signal observed
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Event selection We select events with a W… …and at least one jet…
12.6% % signal We select events with a W… Same requirements than in the W inclusive prod. + MT>50 GeV …and at least one jet… In the region -2.1 < η < 2.1 ET > 20 GeV Less than 3 jets with ET > 40 GeV (ttbar rejection) …and b-tagging discriminator Main backgrounds Top and single-top W + light jets Other bckg 0.8% 20% 82% % 4.6% %
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W+c extraction
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Systematic uncertainties
Affecting the tagging efficiency
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Results
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Conclusions Pre-collision era: the detector needs to be calibrated and ready for the data taking (using cosmic rays) The drift velocity is computed for all DT chambers in CMS and variations of the apparent drift velocity are observed with the magnetic field, the muon incident angle and the signal propagation. Early collision data: we present the SIDRA method to compute the muon scale and resolution Small shifts observed with θ and φ dependence (~15 MeV for a 30 GeV muon) 2 sc. papers 1 sc. paper
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Conclusions W inclusive production W + charm production:
A measurement of the W boson production cross section is presented in this theses. W + charm production: The production of a W boson with a charm jet in the final state is studied in this thesis, and prospects for the improvement with 1 fb-1 data are suggested. Cross section (nb) W+ W- W 5.93±0.26 4.17±0.19 10.1±0.43 2 sc. papers 1 public anal.
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