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![Page 1: Plans for Searches for resonant production of top anti-top quarks at ATLAS 16 th November 2011 1 London Top Group.](https://reader038.fdocuments.in/reader038/viewer/2022110211/56649ec65503460f94bd21c6/html5/thumbnails/1.jpg)
Plans for Searches for resonant production of top anti-top quarks at
ATLAS16th November 2011
1
London Top Group
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Motivation for searching for resonant ttbar production
• Top mass is so large…– Involved in EWSB– And in BSM scenarios
• Large radiative correction to the Higgs:– Need to cancel– Involves new particles:
• Top partners (SUSY)• Fermions (Little Higgs)• Extra Dimensions
– In those models: gauge interactions with enhanced coupling to the top
• KK excitations of the graviton• Weak and strong gauge bosonsresonance in ttbar production and not in di-jet
or di-lepton due to their small couplings to light particles
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Motivation for searching for resonant ttbar production
• Can group models according to the spin of the object, its color content and CP parity:
– Spin 0, 1, 2
– Color singlet or color octet
– Parity even or odd (scalar vs pseudo-scalar, vector vs axial-vector)
• There can be non-trivial interference effects between new resonances and SM ttbar
• Experimentally: Look at the Mtt spectrum to see any deviation over the SM ttbar
3Frederix, Maltoni: hep-ph/0712.2355v3
Massive gluon G
Most results extract limits for topcolor leptophobic Z’ of narrow width
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SM non-resonant ttbar production
• Very few events at very high Mtt
• See Jung’s talk earlier• Tevatron resonant searches
focused on non-boosted topology so far less efficient at very high
mass
• Current precision on the total tt leaves open the possibility of non-SM contributing to tt production
4N. Kidonakis, Phys. Rev. D 82, 114030 (2010)
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Reconstructing the Mtt
5
Decay products
2 kinematic fit kinematic fit, use MW for
Matrix Elements (+Templates)
D0 3.6fb-1 CDF 1fb-1
CDF L+J 4.8fb-1
CDF AllHad 2.8fb-1
DLM with no tt production Matrix
CDF 1.9fb-1
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A search for boosted top quarks at CDF using 5.95fb-1
• Observation of massive collimated jets:– Test of perturbative
QCD– Tune the MC event
generators– Gives insight into the
parton showering mechanism
– No data available for top quark with pT>400GeV/c
>3: top decay products collimate into single massive jet
• Event selection:– Trigger:≥1 jet with
ET>100GeV: 7.58x107 evts
– Jets: Midpoint alg R=1.0, calorimeter towers 4-vec: “E-scheme”
• Then correct using JES• Then correct for MI
– ≥1 jet pT>400GeV/c ||<0.7• Typical JES f=1.12 (3% unc)
–
– Nevts = 4230 6
SMET ≡ET
ET∑<10
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Conclusions:
• Reported on tt resonant production results from the Tevatron– Non boosted regime:
• AllHad and L+J in various techniques– If a topcolor leptophobic Z’ exists it probably has MZ’> 900GeV/c2
» STILL BEST LIMIT! (for =1.2%)
– If a massive gluon exists its coupling is probably less than 0.5
» This massive G is generic, but assumes parity-conservation, ATLAS/CMS look specifically at the KKgluon model, hard to compare results
– Boosted regime:• X <20fb at 95%CL
• Also reported on first Tevatron boosted analysis toppt>400GeV < 38fb at 95%CL
• Most stringent limit on boosted top quark
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Analysis Strategies
• 1) Very High Mass X -> ttbar implies boosted top– That means the top decay products are collimated into 1 big fat jet– If Leptonic decay (SL or Dil) then lepton will be non-isolated
• Can use Soft Muon Tagging tool!– Could study all hadronic and rely on b->mu
• bbar background is worry• 2) Use Matrix Elements to get the most out of the data• 3) Try to be not model dependent:
– Wide or narrow resonance– Funky mtt distributions– This is then converging with ds/dmtt– Somehow give tool to theorist that encapsulate the data and ATLAS
so that any theorist can test their model
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Introduction
9
• Cross section in Semileptonic channel (e and ) using Soft Muon Tagging– Complementary to lifetime based tagger
analyses• Smaller efficiency due to BF• But similar Light Jet Rejection and less
dependence on Si alignment (different systematics)
• SMT tagger used is NOT Ptrel one (available in AOD) it is based on MatchChi2 (soon available in AOD)– Same performance as Ptrel– Can use isolated muons for efficiency
sample
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SMT MatchChi2 (Ben)
• SMT muon requirements:– STACO muons– ΔR(jet, μ) < 0.5
– |d0| < 4 mm
– pT > 4 GeV
– SMT != W – “Is combined” with χ2
match/DoF < 3.2
1. χ2match is the quality of the matching between the muon track from ID and MS.
Built with five track params (η , φ , pT , d0, z0) at the point of closest approach wrt the PV (perigee) weighted by covariance matrices.
2. Performance studied by our group on MC: overall (including BR) tagging efficiency ~ 10%,
10
same as pTrel
SMT Likelihood to separate HF and LF jets:χ2
match/DoF provided by the muon reconstruction algorithm
ATL-COM-PHYS-2010-335
Status Updates in ATLAS b-tagging group & Top b-tag liaison group
For the muon channel only:veto invariant mass SMT-W-mu: 80-100 GeV (Z) and 8-11 GeV (Y)Tag-level cuts for both electron and muon channel:NOT (EM fraction>0.80 && TrackNum <=2)
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Matrix Element Analyses
• “squeeze out all the juice out of the event!”• At the Tevatron:
– Mature analysis– Used for: Top Mass, Mtt, W helicity, single top– But: more or less same group!
• Technique investment and CPU investment
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Conclusion
• Now we will hear from Francesco about current and future ATLAS plans
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Content: 5 Tevatron results
• (1:G): CDF: Search for New Color-Octet Vector Particle Decaying to tt using 1.9fb-1 (L+J) (PLB 691 183)
• (2:D0): D0: Search for tt Resonances in the L+J using 3.6fb-
1 (D0 note: 5882-CONF)• (3:Z’ME): CDF: Search for resonant production of tt pairs in
4.8fb-1 (L+J) (CDF note: CDFR/10468)
• CDF: Search for resonant production of tt decaying to jets using 2.8fb-1 (AllHad) (arXiv:1108.4755)
• CDF: A Search for Boosted Top Quarks using 5.95fb-1 (AllHad, L+J) (CDF note: CDFR/10234) 25
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Lepton + Jets Event Selection
Trigger: CDF: e: ET >18 GeV : pT>18GeVD0: e()+jet
Isolated LeptonsCDF: e: ET>20GeV : pT>20GeVD0: : e: ET>20GeV : pT>25GeV ||<2.0
Jets Topological clusters CDF: Anti-kT (R=0.4)(1:G): =4j ET>20GeV(3:Z’ME): ≥4 j ||<2.0, ET>20GeVD0: Cone algorithm with R=0.5≥3 j ||<2.5, pT>20GeV, 1 j pT>40GeV
b-jetsCDF: Displaced vertex (SECVTX), b: 50%, l: 2%D0: NN (d0, mtvx, sig. displ., Ntrks within sec. vtx.) >0.65, b: 55%, l<1%
MET
Vector sum of calo energy deposits Corrected for identified objectsCDF: MET>20GeVD0: e: MET>20GeV : MET>25GeV
Event Cleaning Good run conditions Z0 vtx < 60cm veto: l+track within Z mass Cosmic veto
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CDF: Search for New Color-Octet Vector Particle, 1.9fb-1
• Searching for massive generic gluon G• Assume coupling massive-massless gluon is 0• Interference between G and SM qqgtt • Coupling of G to quarks is assumed to be
parity-conserving• SM ggtt is background• L+J Backgrounds (treatment same as for measurements)
– W+Jets (HF, LF) (get tag rate, etc)– QCD (data driven)– EWK (diboson, single top)
27
Data/Bkg:1.1tt/non-tt:1.8
λ ≡λqλ t
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Reconstructing Mtt and statistical treatment• Reconstruct parton level momenta event by event using Dynamical Likelihood Method (DLM) (used for Top
mass)– Likelikood:
– Each event: average over all the possible paths
Transfer Function: pdf from observed to parton kinematics
Mtt (GeV/c2)400 500
True massAssume that TF ind. of tt production matrixAt reco: remove from L:No bias toward SM tt production
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Reconstructing Mtt and statistical treatment
• Signal g+G pdf is:
• Unbinned Maximum Likelihood:
2929
Reconstructed Mtt True Mtt
After cuts
•Ratio of g+G to SM tt production:• PDF, top propagators, decay ME and final state densities for g+G and tt cancel out•Allows to generate g+G events from SM tt MC
Resolution function which translates to sp sr
Example of ps for M=600GeV/c2, /M=0.10, λ=±0.3
g
G
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Results
30No significant indication of a massive Gluon with |λ|>0.5 is observed
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D0: Search for tt Resonances in the L+J using 3.6fb-1
• After L+J event selection:
• Backgrounds:– W+jets:pretagxevent tag P– QCD: MM b-tag sample, shape: lepton
failing iso cuts
• Get Mtt from using up to 4 leading jets, and use
– For pz
• If 2 solutions: smallest |pz|
• If 0 real solutions: pz=0
• Better sensitivity at high M than using kinematic fit
31
Data/Bkg:0.98tt/non-tt:1.3
A⋅ ⋅BR =SMtt : 3 j : 3.4%,≥4 j : 4.4%
650GeV / c2Z': 3 j : 2.8%,≥4 j : 3.9%
MW2 =(pl + p )2
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D0: Search for tt Resonances in the L+J using 3.6fb-1
• Get limit using Bayesian approach with a Poisson probability for the number of events in each bin, and a flat prior for B
• Systematics:
– Some analyses: integrated over as nuisance parameters
– Some systematics change the normalization and others change both the shape of Mtt and the normalization
– Normalization: tt uncertainty, integrated luminosity, various (eg lepton)
– Shape:
• JES, ISR/FSR, PDF
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Results
33
3 jets ≥ 4 jets
A topcolor leptophobic Z’ is excluded at 95%CL below 820 GeV/c2
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CDF: Search for resonant production of tt pairs in 4.8fb-1
• For each event: apply tt hypothesis: observed event kinematics mapped to parton level using the Matrix Element for tt production and decay
• L+J Backgrounds (treatment same as for measurements)
– W+Jets (HF, LF) (get tag rate, etc)
– QCD (data driven)– EWK (diboson, single
top)
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Data: 996 370
Data/Bkg:1.2tt/non-tt:3.6
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Reconstructing Mtt and Statistical treatment
• Then construct a pdf representing Mtt:
• Probability for an event in
sample i goes into the
likelihood:
35
Mtt given parton pk
Sum over jet-parton assignments
• Transfer Function mapping jets to partons:• from MC R(jets, p)<0.15 and no other jets or partons within R<0.6• 10 bins in jet ET
• 5 bins in jet
templates
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Results
36
A topcolor leptophobic Z’ is excluded at 95%CL below 900 GeV/c2
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All Hadronic Event Selection
37
Trigger: Jet Trigger: ≥4 jets ET>10GeV, : 80%
Veto Leptons
Jets Topological clusters Anti-kT (R=0.4)6 or 7 jets ||<2.0, ET>15GeV
b-jetsDisplaced vertex (SECVTX), b: 50%, l: 2%
Veto MET
Neural Net to reduce QCD background10 variables usedMultijet data used as training sampleSM tt used as signalNN>0.93
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CDF: Search for resonant production of tt decaying to jets
• Advantages of All hadronic channel: – High BR– good mass resolution– Complementary result
• AllHad:– QCD: get tag rate matrix from 4 or 5 jet
sample and test on various control samples:
• NN<0.25, 0.25<NN<0.75, 0.75<NN<0.93
• Likelihood calculated by integrating signal ME:– to calculate Mtt (sum over
combinations)– Suppress the background
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Reconstructing Mtt and Statistical treatment
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i=mass binTi: fraction of evts in bin i
Contamination of signal and tt events in QCD data sample
TF are used as functions of E and To set limits: Likelihood is used within Bayes theorem
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Results
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A topcolor leptophobic Z’ is excluded at 95%CL below 805 GeV/c2
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A search for boosted top quarks at CDF using 5.95fb-1
• Expect (based on recent NNLO calculation by N. Kidonakis):
• or f=5.58x10-4
• AllHad channel: use mjet1 and mjet2 (slight correlation) and expect no MET:
41A
B
CD=Signal
Rmass =NBNC
NAND
Rmass =0.89 ±0.03(stat)±0.03(syst)
SMET<4
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A search for boosted top quarks at CDF using 5.95fb-1
• For L+J channel: 4<SMET<10: effective for evts where recoil jet does not contain all the decay products
• Mjet2 no longer discriminating between QCD and tt
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A
B
C D=Signal
NANB
=NC
ND
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A search for boosted top quarks at CDF using 5.95fb-1
• Combining AllHad+L+J: – data: 57 vs tt+QCD: 46±8.5(stat)±13.8(syst)
– Calculate UL on boostedtop
– Use Bayesian with flat prior• Syst are nuisance parameters tt=0.182
• Expected limit: <33fb at 95%CL• Observed limit: <38fb at 95%CL
– Order of magnitude larger than SM prediction, dominated by background
• Can use allhad channel to put limit on resonant production:– tt is now background
– X < 20fb at 95%CL
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Backups: massive G
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Backups: D0 L+J
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Backups: CDF ME
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Backups: CDF: all had
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Backups: boosted top
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