Vector Boson Production associated with jets @LHC (Atlas)
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Transcript of Vector Boson Production associated with jets @LHC (Atlas)
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Vector Boson Production associated with jets @LHC (Atlas)
Monica Verducci CERN/CNAF On behalf of Atlas Collaboration
IFAE 2006 Pavia
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Summary
• Introduction @ LHC (ATLAS Detector)• Parton Density Function (PDFs)
measurements @ LHC• Vector Boson Production analysis as a
possible constrain for PDFs: /W/Z+jets • Potential of the Z+jet analysis• Systematics of the measurement• First data: calibrations• Conclusions
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LHC
Energy per proton
7 TeV
Bunch spacing 25 ns
Bunch size 15 m 12 cm
Protons per Bunch
1011
Bunches per ring
2835
Lifetime 10 hours
Luminosity 1034 cm-2 s-1
Lenth of the ring
27 Km
Number of collisions per bunch
25
tot(pp) = 70 mb proton-proton event rate R L = 109 eventi\
sec (ad alta luminosità)
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ATLAS@LHC Muon Spectrometer: Pt measurements and muon
identificationMounted on an air-core
toroid with B field
Inner Tracker: Pt Measurements and
charge of the particles with a
solenoidal magnetic field of 2 T.
Calorimeters: electromagnetic
and hadronic
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Importance of PDFs at LHC At a hadron collider, cross
sections are a convolution of the partonic cross section with the PDFs.
PDFs are important for Standard Model physics, which will also be backgrounds to any new physics discovery: Higgs, Extra Dimensions…pA
pB
fa
fb
x1
x2
X
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Parton Kinematic Regime@LHC The kinematic regime at
the LHC is much broader than currently explored.
At the EW scale (ie W and Z masses) theoretical predictions for the LHC are dominated by low-x gluon uncertainty
At the TeV scale, uncertainties in cross section predictions for new physics are dominated by high-x gluon uncertainty
The x dependence of f(x,Q2) is determined by fits to data, the Q2 dependence is determined by the
DGLAP equations.Fits and evaluation of uncertainties
performed by CTEQ, MRST, ZEUS etc.
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Constraining PDFs at LHC• Direct photon production Studies ongoing to evaluate
experimental uncertainties (photon identification, fake photon
rejection, backgrounds etc.) (I.Dawson - Panic05,proc.)
• W and Z rapidity distributions
Impact of PDF errors on W->e rapidity distributions investigated using HERWIG event generator with NLO corrections. Systematics < 5%
(A.Tricoli, hep-ex/0511020,PHOTON05) (A.Tricoli, Sarkar, Gwenlan CERN-2005-014) (A.C.Sarkar, hep-ph/0512228, Les Houches)
• Z+b-jet (Diglio,Tonazzo,Verducci- ATL-COM-PHYS-2004-078 AIP Conf 794:93-96, 2005, hep-ph/0601164, CERN-2005-014)
eWud
eWdu
Compton~90%
Annihilation~10%
eWud
eWdu
Zdd
Zuu
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Photons and W Boson Analysis
Photons production Photon couples only to quarks, so potential good
signal for studying underlying parton dynamics. Selection Efficiency~80%• CTQE6L-MRST01E ~ 16-18%
W ProductionAt y=0 the total PDF uncertainty is: • ~ ±5.2% from ZEUS-S• ~ ±3.6% from MRST01E• ~ ±8.7% from CTEQ6.1M• ZEUS-S to MRST01E difference ~5% • ZEUS-S to CTEQ6.1 difference~3.5%
CTEQ61 MRST02 ZEUS02
CTEQ61 MRST02 ZEUS02
e- rapidity e+ rapidity
GeneratedGenerated
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The measurement: Z+jet (b)• Measurement of the b-quark PDF
– Process sensitive to b content of the proton(J.Campbell et al. Phys.Rev.D69:074021,2004)
• Tuning of the MonteCarlo tools for Standard Model
• Background of new physics signatures• Calibration Tool (clean and high statistics
signature) (Santoni, Lefevre ATL-PHYS-2002-026) (Gupta et al. ATL-COM-PHYS-2005-067)
• Luminosity Monitor
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Why measure b-PDF?
• bb->Z @ LHC is ~5% of entire Z production -> Knowing σZ to about 1% requires a b-pdf precision of the order of 20%
Now we have only HERA measurements, far from this precision
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PDF Uncertainty
• Differences in total Z+b cross-section are of the order of 5-10%
• The D0 collaboration has measured the ratio:
(Z+b)/ (Z+jet) with Z→ and Z → ee Phys.Rev.Lett.94:161801,2005 • Fitted values for selected
sample in 184 pb-1
NLO (J.Campbell et al.): 0.018 +/- 0.004
)(
004.0
005.0)(005.0024.0 syststat
jZ
bZ
HERWING: MRST03CNNLO –
CTEQ5M1 – Alehkin1000
#Events
Pt b-jet (MeV)
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Z+jet: Impact to other measurements• Background to Higgs search
– In models with enhanced (h+b) and BR(h-
(J.Campbell et al. Phys.Rev.D67:095002,2003)
• Background to MS Higgs search– In models where pp -> ZH con H -> bb
Simple spread of existing PDFs gives up to 10%
uncertainty on prediction of Higgs cross section.
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Impact on New Physics• Susy Background: Z(->jet• Effective Mass distribution
for No-Leptons Mode after standard event selection
M(g)≈M(q)≈1TeV
Black: ISAJET
Red: PYTHIA
Susy Atlas meetingsT.S.S.Asai U. of Tokyo
Event Topology
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Z+jet(b) AnalysisEvent selection: taking into account only Z→• Two isolated muons with
• Pt > 20 GeV/c• opposite charge• invariant mass close to Mz
(70 GeV)
• Two different b-tagging algorithms have been considered:• Soft muon• Inclusive b-tagging of jets
Analysis presented @ ATLAS Physics Workshop 2005
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ZQ inclusive
13.40.9 0.8 0.8
Zj inclusive
89.713.8
49.26.83
Processes
LHCTEVATRON
Zbgb
bZbgb
Zcgc
cZcgc
ZqgqZgqq , 7944122401010
3006090050030060015870
406080701001390 3.1
2.18.15.1 1.03.20
• Backgrounds:
othercutsaccPythiaotherother
bcutsacctablebb )(
tLN
tLZBRN
Cross Section (pb)
• Signal:
Acceptance Efficiency = 59.6%Trigger Efficiency > 95%Cuts Efficiency ~ 40%
30707050100601040
MC
RECO
(J.Campbell et al. Phys.Rev.D69:074021,2004)
Z Mass
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BTagging30 fb-1 b jet other
# events 176642 204265
BTagging Efficiency 59.5%
Purity 60.7%
30 fb-1 b jet other
# events 22630 68088
Soft MuonTagging Efficiency 7.2%
Purity 37.2%
Soft Muon Tagging
All Jets
B Jets
All Muons
B Muons
mb106.2 6Pythiaother
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Systematic Effects
• Efficiency of b-tagging– To check b-tagging efficiency, we can
use b-enriched samples. Experience at Tevatron & LEP indicates that we can expect:
– Δεb/εb = 5%• Background from mistag
– Check mistagging on a sample where no b-quark jets should be present
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• We use W+jet events, where there are not b jet– Jets will cover the
whole Pt range– Statistics 30x Z+j
(after selection of decays to muons)
• The relative error on background from mistagging can be kept at the level of few-% in each bin of the Pt range
Full Simulation Rome Sample
Diglio
2 Gev per bin
5 Gev per bin
5-2 Gev per bin
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First Data Z+jet: Calibration
• Calibration in situ of the jet energy scale -> jet energy absolute scale within 1%– This means calibrate the
calorimeters using jets reconstructed in the exp.
– Z+jet (b 5%) high statistic -> 380pb– pjet
T = pZT
balance criteria on transverse plan
Santoni,Lefevre
Gupta,et al.
Truth
Reco
Atlfast
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Conclusions I• Precision Parton Distribution Functions are crucial for
new physics discoveries at LHC and to tune MonteCarlo studies: – PDF uncertainties can compromise discovery potential (HERA-
II: significant improvement to high-x PDF uncertainties)
• At LHC the major source of errors will not be statistic but systematic uncertainties
• To discriminate between conventional PDF sets we need to reach high experimental accuracy ( ~ few%) and to improve the detector performance and resolution
• Standard Model processes like Direct Photon, Z and W productions are good processes:– to constrain PDF’s at LHC, especially the gluon– to calibrate the detector
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Conclusions II• Z+b measurement in ATLAS will be
possible with high statistics and good purity of the selected samples with two independent tagging methods
• We will have data samples to control systematic errors related to b-tagging at the few-% level over the whole jet Pt distribution– b-tagging efficiency– Mistagging: from W+jet
• Jet Calibration in situ: error within 1%
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Many Thanks to
• Patrizia Azzi & Fulvio Piccinini• Giacomo Polesello • Fabiola Gianotti• Alessandro Tricoli• Ada Farilla & Sara Diglio• Chiara Roda
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Backup
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Event Selection Criteria for W+- ->l+- l
(TDR selection cuts)
• Electrons: |η| < 2.4 • Pt > 25 GeV
• Missing Et > 25 GeV
• To reject QCD bkg & high Pt W and Z due to I.S.R. :
– No reconstructed jets in the event with Pt > 30 GeV
– Recoil on transverse plane should satisfy |u|< 20 GeV-
W ->
Z -> e-e+
Z -> QCD 2->2
Backgrounds sums:
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W Analysis (I) What is effect of including ATLAS W rapidity “pseudo-data” into
global PDF fits.
Created 1M “data” sample, generated using CTEQ6.1 PDF and simulate ATLAS detector response using ATLFAST. Correct back
to generator level using ZEUS-S PDF and use this “pseudo-data” in a global ZEUS-S PDF fit. Central value of ZEUS-S PDF
prediction shifts and uncertainty is reduced:
xg(x) ~ x –
λ :
35% error reductionBEFORE λ = -0.199 ± 0.046
AFTER λ = -0.181 ± 0.030
low-x gluon shape parameter λ:
~1day of data-taking at low Lumi
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W Analisys (II)• To improve on current
PDF uncertainties:• Study of Rapidity
distributions W+- -> e+-e
W Bdy
d
Cuts acceptance ~25%Assuming Lepton reconstruction efficiency ~ 90% & identification efficiency ~ 80%
Total Selection Efficiency ~20%
60 M W’s/y al low Luminosity (10 fb-1)
Cross section for pp→W+X with W→lν, l=e,μ is ~30 nb (10 time larger than Tevatron)
300M evts/y at low Luminosity
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BTagging AlgorithmInclusive jet b-tagging
Primary Vertex
d
Impact Parameter
Extrapolated track
Secondary Vertex,
B-hadron decays
Life time of a bottom hadron is about t ~ 1.5 ps long enought to permit to a hadron of 30 GeV of energy to do a distance of L ~ 3 mm before decaying
Identification of a single jet in the event with b flavour
•pT > 15 GeV
•|η|< 2.5
•Number of tracks > 0
•Secondary vertex >3 (weight)
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Calibration in Situ (II)
• Cone R=0.7• Et> 15 GeV• Et(cell)=1.5 GeV• E,: pt>5GeV
bin2
pp
binp
0CalT
ZT
ZT
)~1(pp
p
)pp(
)~1(ppp
)pp(
20Cal
TCalT0Cal
T
ZT
0CalT
2
1RawT
0CalTRaw
T
ZT
RawT
1
ISR Correction
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Calibration in Situ (III)
• BiSector Method
• Measurement of the resolution via estimation of the ISR contribution
• Transverse plane:1. η depends only on
ISR 2. depends on both
resolution and ISR
22D
ZjetZT
jetTT
ZjetZT
jetTT
)2
cos()pp(K
)2
sin()pp(K
cpbpa)p( TTT