QCD and jets physics at the LHC with CMS during the first year of data taking. Pavel Demin UCL/FYNU Louvain-la-Neuve

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1 QCD and jets physics at the LHC with CMS during the first year of data taking Pavel Demin UCL/FYNU Louvain-la-Neuve February 8, 2006

2 Bon appétit! February 8, 2006 Pavel Demin UCL/FYNU 1

3 Why this seminar? February 8, 2006 Pavel Demin UCL/FYNU 2

4 LHC - Large Hadron Collider 14 TeV centre of mass energy (highest s on Earth!) proton-proton collision every 25 ns in the 27 km long LEP tunnel, first beam in mid fb 1 by the end of 2008 fb 1 by the end of 2009 February 8, 2006 Pavel Demin UCL/FYNU 3

5 Cross Section of some SM processes proton - (anti)proton cross sections 9 9 Low luminosity phase (first 3 years): L = 33 cm 2 s 1 = 1 nb 1 s 1 Will be produced per second approx.: 200 W -bosons 50 Z-bosons 1 t t-pair s (nb) s tot s b s (E jet T > s/20) jet s W s Z s (E jet T > 0 GeV) jet s t s (E jet T > s/4) jet Tevatron LHC events/sec for L = 33 cm -2 s -1-5 s Higgs (M H = 150 GeV) s Higgs (M H = 500 GeV) s (TeV) -6-7 February 8, 2006 Pavel Demin UCL/FYNU 4

6 Cross Section of some SM processes 1 fb 1 i.e. a couple of months after start W, Z, Drell-Yan First top results (cross section, mass) QCD and jet physics Forward physics fb 1 i.e. the generic first year at 33 cm 2 s 1 sufficient for many SM analyses February 8, 2006 Pavel Demin UCL/FYNU 5

7 Let s look at the QCD and jet physics... February 8, 2006 Pavel Demin UCL/FYNU 6

8 What are we measuring? p p q (x 1 ) q (x 2 ) a s a s g q q jet jet σ = i,j inclusive jet and di-jet cross sections are directly sensitive to strong coupling constant α S pqcd matrix elements Parton Distribution Functions (PDF) for quarks and gluons processes at large x: dx 1 dx 2 f i (x 1, µ 2 F)f j (x 2, µ 2 F)ˆσ[x 1 P, x 2 P, α s (µ 2 R), Q 2 /µ 2 F, Q 2 /µ 2 R] ˆσ perturbatively calculated two body scattering cross sections f k (x, µ 2 F ) describes momentum fraction x of the incident proton momentum P carried by a parton of type k (gluons or quarks), decomposition of partonic subprocesses: quark-quark channel dominates quark-gluon channel is also important significant gluon contributions at largest x February 8, 2006 Pavel Demin UCL/FYNU 7

9 LHC parton kinematics kinematic acceptance of the LHC detectors allows a large range of x and Q 2 to be probed small overlap of the LHC region and those invistigated by fixed target experiments and at HERA theoretical models like the DGLAP evolution are required to extrapolate from low to higher Q 2 important for the LHC physics determine the PDFs for all parton species directly from LHC data test the extrapolation models to improve the precision Q 2 2 (GeV ) x 1,2 = (M /14 TeV) exp(±y) Q = M y = pseudorapidity y = M = GeV LHC parton kinematics M = 0GeV M = 1 TeV DGLAP evolution M = TeV Tevatron jets HERA fixed target x February 8, 2006 Pavel Demin UCL/FYNU 8

10 PDF uncertainties CTEQ6.0M uncertainties on up quark PDF CTEQ6.0M uncertainties on gluon PDF quark PDF at large x are already constrained by the data from lepton deep inelastic scattering experiments gluon PDF at large x is only indirectly constrained high p T jets data bring us unique information about the gluon PDF at large x February 8, 2006 Pavel Demin UCL/FYNU 9

11 How PDFs can be constrained? (a small example) February 8, 2006 Pavel Demin UCL/FYNU

12 Step 1: measure inclusive jet cross section Inclusive Jet cross section nb/gev 2 CDF Preliminary NLO QCD prediction (EKS) cteq4m µ=e t /2 R sep = Statistical Errors Only Transverse Energy (GeV) February 8, 2006 Pavel Demin UCL/FYNU 11

13 Step 2: compare with models Percentage (DATA-THEORY)/THEORY CDF Preliminary Run 1B (87 pb -1 ) with run 1A results overlayed NLO QCD CTEQ3M scale Et/2 Run I data and NLO+CTEQ3M: inclusive jet cross section at s = 1800 GeV Statistical errors only Is there an excess at E T > 300 GeV? New physics? Transverse Energy (GeV) February 8, 2006 Pavel Demin UCL/FYNU 12

14 Step 3: constrain the models However, no new dynamics in angular dijet distributions χ = (1 + cos θ cm )/(1 cos θ cm ): Run I jet data used for CTEQ4HJ Run I data and NLO+CTEQ6M CTEQ6: New Data: H1, ZEUS, DØ, CDF New methods: syst. errors included New features: errors are available no excess, anymore shifted data theory theory CDF inclusive jet pt GeV February 8, 2006 Pavel Demin UCL/FYNU 13

15 Measuring Parton Distribution Functions Recipe for measurements of PDFs from SM processes: Process: Constraning PDF of: Di-jets Quarks and Gluons Jet + photon(s) Quarks and Gluons Jet + W W and Z Drell-Yan Quarks and Gluons Quarks Quarks February 8, 2006 Pavel Demin UCL/FYNU 14

16 What else can we do with jet spectra? February 8, 2006 Pavel Demin UCL/FYNU 15

17 Jets at LHC 5 inclusive jet cross section QCD-LO, m=e T /2 CTEQ4M CTEQ4HJ MRST d 2 s/dhde T h=0 (nb/tev) s = 1.8 TeV Tevatron Run I LHC s = 14 TeV E T (TeV) Jets up to E T 4 TeV February 8, 2006 Pavel Demin UCL/FYNU 16

18 Compositeness and New Physics Limits Search for new physics: hunting for resonances at highest p T and largest M final state quark compositeness?? Possible compositeness signature: QCD parton parton scattering: distributions peaked at small center of mass scattering angles (near the beam axis in the lab) Compositeness: models predict more isotropic angular distributions dijet mass spectrum will increase at central rapidities relative to forward rapidities Ratio = N( η <0.5) / N(0.5< η <1) Significance in σ σ( η < 0.5)/σ(0.5 < η < 1.0) Λ =5 TeV + Λ = TeV + Λ =15 TeV QCD -1 Stat. Err. for 1 fb Corrected Dijet Mass (GeV) fb 5σ 95% CL /Λ (TeV ) February 8, 2006 Pavel Demin UCL/FYNU 17

19 How are jets identified at CMS? (definitions and technicalities) February 8, 2006 Pavel Demin UCL/FYNU 18

20 Jets parton jet particle jet calorimeter jet HCAL ECAL q hadrons g K g Time calorimeter jet: calorimeter main tool for jet measurement jet is a collection of energy deposits geometrical definition (cone algorithms) particle jet: after hadronization a spread of particles running roughly in the same direction as the parton parton jet: parton hard scattering p p parton showers q February 8, 2006 Pavel Demin UCL/FYNU 19

21 Jets: midpoint cone algorithm particle = {experiment: energy deposits / MC: stable particles / pqcd: partons} three parameters: R cone = 0.5, 0.7, p T min = 8 GeV, overlap fraction f = 50% Use all particles as seeds make cone of radius R = η 2 + φ 2 < R cone around seed direction proto jet: add particles within cone in the E-scheme (adding four-vectors) iterate until stable solution is found with: cone axis = jet-axis Use all midpoints between pairs of jets as additional seeds smaller sensibility to the soft radiation between jets (infrared safety)!! (repeat procedure as described above) Take all solutions from the first two steps: remove double solutions remove proto-jets with p T jet < p T min Look for jets with overlapping cones: merge jets, if more than a fraction f of p T jet is contained in the overlap region otherwise split jets: assign the particles in the overlap region to the nearest jet February 8, 2006 Pavel Demin UCL/FYNU 20

22 Jets reconstruction: energy correction correction of the jet energy reconstructed in the detector particle level jet Offset (O) energy not associated with the hard interaction (noise, previous events, additional pp interaction) Response (R jet ) calorimeter response to the jet energy deposits EM part calibrated on Z ee mass peak measured from W jj (from t t events) E T balance in γ + jet events: ET γ + R jet ET jet = E T Showering (S) energy losses due to showering outside the reconstructed jet cone (detector effect! no correction for physics effects) E jet ptcl = Ejet det O R jet S February 8, 2006 Pavel Demin UCL/FYNU 21

23 The CMS detector February 8, 2006 Pavel Demin UCL/FYNU 22

24 How to reduce the showering effect? February 8, 2006 Pavel Demin UCL/FYNU 23

25 Next step: energy flow Jet identify all charged and neutral particles inside jet using maximum of information from detector use identified particles as jet algorithm input first steps are already done in FYNU by identifying e ± in jets p + p e ± identification performance: e February 8, 2006 Pavel Demin UCL/FYNU 24

26 Jets at LHC: expected performance To shoot for greater precision, we will first have to learn our detectors/environment: Jet energy resolution 2% (cf. % at Tevatron) Jet energy scale uncertainty 1% from in situ calibration (cf. 5% at Tevatron) Learn to handle eventual pile-up from min-bias events: 0.5 cone around jet: 20 N ch (min-bias) N ch (jet), 20 E(min-bias) GeV pp t t W W b b (lν)(jj)b b Events/3 GeV σ = 7.8 GeV dn ch /dη PYTHIA A PYTHIA Model4 PYTHIA ATLAS PHOJET 1.12 HERWIG 5.9 ISAJET m jj (GeV) η February 8, 2006 Pavel Demin UCL/FYNU 25

27 Di-jet angular distributions February 8, 2006 Pavel Demin UCL/FYNU 26

28 Dijet azimuthal angle decorrelation dijet production: azimuthal opening angle between two leading p T jets: limit: exactly two jets, no further radiation φ dijet = π additional soft radiation outside the jets φ dijet π (small deviations from π) one additional high p T jet φ dijet as small as 2π/3 multiple additional hard jets in the event small φ dijet February 8, 2006 Pavel Demin UCL/FYNU 27

29 Dijet φ decorrelation: advantages much easier to measure a jet direction than its energy φ dijet distribution is directly sensitive to higher-order pqcd effects without explicitly measuring a third jet (Yes, this is an experimental advantage!) examine transition between soft and hard physics, based on single observable February 8, 2006 Pavel Demin UCL/FYNU 28

30 Dijet φ decorrelation: measurement 1/s dijet ds dijet / ddf dijet DØ max p T > 180 GeV (x 8000) max 130 < p T < 180 GeV (x 400) max 0 < p T < 130 GeV (x 20) max 75 < p T < 0 GeV First DØ Run II QCD Jet Publication: PRL 94, (2005) dijet azimuthal angle defined as φ dijet = φ jet1 φ jet2 1 measured only for φ dijet > π/2 to avoid φ dijet 2 R cone (overlapping jets) p/2 3p/4 p Df dijet (rad) change in the shape of the φ dijet distribution proportion of back-to-back jets is higher for higher p T February 8, 2006 Pavel Demin UCL/FYNU 29

31 Dijet φ decorrelation: compare to LO 1/σ dijet dσ dijet / d φ dijet DØ p T max > 180 GeV ( 8000) 130 < p T max < 180 GeV ( 400) 0 < p T max < 130 GeV ( 20) 75 < p T max < 0 GeV NLO LO NLOJET++ (CTEQ6.1M) µ r = µ f = 0.5 p T max π/2 3π/4 π φ dijet (rad) poor overall description by LO (2 3) divergence towards φ π where third jet is soft: p T 0 phase space limitation: φ > 2π/3 very good description by NLO (2 3) exceptions: extreme φ regions large φ: third and fourth jets are soft small φ: no hard phase space restriction, but still limited phase space for four-jet configurations February 8, 2006 Pavel Demin UCL/FYNU 30

32 Dijet φ decorrelation: HERWIG, PYTHIA HERWIG & PYTHIA: different implementations of parton shower third and forth jets generated by parton shower (soft and collinear approximations) HERWIG v6.505 (default): very good overall description! slightly too high only at intermediate φ dijet PYTHIA v6.225 (default): different shape too strongly peaked at π significantly too low at small φ dijet February 8, 2006 Pavel Demin UCL/FYNU 31

33 Tuning of PYTHIA parameters 1/σ dijet dσ dijet / d φ dijet DØ p T max > 180 GeV ( 8000) 130 < p T max < 180 GeV ( 400) 0 < p T max < 130 GeV ( 20) 75 < p T max < 0 GeV HERWIG PYTHIA PYTHIA increased ISR (CTEQ6L) π/2 3π/4 π φ dijet (rad) Try tuning PYTHIA parameters: changing maximum p T in ISR shower: PARP(67) = PARP(67) hard scale ( p T ) defines the maximum virtuality in ISR shower directly related to max. p T in ISR shower huge effect for φ dijet distribution best value somewhere between PARP(67) = 1.0 and = 4.0 high flexibility in PYTHIA tuning required! huge sensitivity of data important for usage of PYTHIA in new-physics searches February 8, 2006 Pavel Demin UCL/FYNU 32

34 Data and MC looking at φ dijet π 1/σ dijet dσ dijet / d φ dijet 2 DØ p T max > 180 GeV ( 30) 130 < p T max < 180 GeV ( ) 0 < p T max < 130 GeV ( 3) 75 < p T max < 0 GeV zoom into the peak this is where NLO fails (soft processes!) where parton shower should work HERWIG v6.505 (default): slightly to narrow but reasonable PYTHIA v6.225 (default): too strongly peaked at π PYTHIA v6.225 (with PARP(67) = 4.0): 1 (CTEQ6L) HERWIG PYTHIA default increased p T max ISR 13π/16 7π/8 15π/16 π φ dijet (rad) too narrow in peak too low at φ dijet 15π/16 (low φ dijet tail slightly high) varying ISR and FSR parameters does not help more tuning needed for PYTHIA February 8, 2006 Pavel Demin UCL/FYNU 33

35 From Tevatron to LHC February 8, 2006 Pavel Demin UCL/FYNU 34

36 φ dijet at Tevatron best description by PYTHIA for PARP(67) between 1.0 and 4.0 tune PARP(67) to NLO result: PARP(67) = 2.5 (default is 1.0) this setting is referred to as TeV-tune (ignore the peak region... ) good agreement: HERWIG PYTHIA NLO Question: Can this good agreement (and the tune) be transferred to the LHC? February 8, 2006 Pavel Demin UCL/FYNU 35

37 φ dijet at LHC PYTHIA v6.225 (TeV-tuned): the good agreement with NLO at Tevatron Run II energies is reproduced at LHC energies HERWIG v6.505 (default): small differences: broader at low PT max narrower at large PT max Both Monte Carlos are in good agreement with NLO predictions Waiting for the experimental data... February 8, 2006 Pavel Demin UCL/FYNU 36

38 Conclusion February 8, 2006 Pavel Demin UCL/FYNU 37

39 February 8, 2006 Pavel Demin UCL/FYNU 38

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