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| Introduction | ||||||||||||||||||||
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We present a new measurement of the top quark mass using 1.7fb-1 of CDF data in the lepton+jets channel with DLM (Dynamical Likelihood Method). DLM treat each event as a quantum process and uses the differential cross section as a posterior probability for the observed quantities. One of the most important improvements since previous results with DLM is that we introduced 2D likelihood as a function of Mtop and JES instead of 1D likelihood as a function of Mtop to improve the JES uncertainty. | ||||||||||||||||||||
| Event Selection | ||||||||||||||||||||
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In this analysis, we require ttbar pair procution events. ttbar pair decay into b-quark and W boson by almost 100% probability. We select events that one of W boson decay leptonic and another W bonon decay hadronic. We observed 4 jets which is from 2 b-quarks and 2 light quark originated from one of W bosons, and one lepton originated from another W boson. This channel is called 'lepton + 4 jets' channel. To select ttbar events, we require events that exactly4 tight jets(ET ≥ 20 GeV/c and |η| &le 2.0), one tight lepton(ET ≥ 20 GeV/c and central region of detector), missing ET from neutrino which is greater than 20 GeV/c and at leaset one tagged jet as b-jet using a secondary vertex tagging algorithm. And then we observed a total of 343 events in the data. Estimating number of background in selected data, we consider W+jets, QCD, single top and diboson as a source of backgrounds. The number of background is shown in table below:
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| Dynamical Likelihood Method | ||||||||||||||||||||
Definition:![]() ![]() Event Reconstruction: ![]() | ||||||||||||||||||||
| Transfer Functions | ||||||||||||||||||||
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Transfer Function (TF) deals with relations between parton variables and observables, and corresponds to so-called `top specific correction`. To define Transfer Function, we introduce variable ξ: ![]() The Monte Carlo events that we use to create TF are required jets which match with parton. The TFs for each ET, η resion and ΔJES are shown in figures below:
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| Performance of Transfer Functions | ||||||||||||||||||||
To check performance of TF, we reconstruct imvariant mass of W boson and top quark using formula below:![]()
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| Event Likelihood | ||||||||||||||||||||
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Here are some examples of event likelihoods. Two signal event likelihoods with right jet assignments:
![]() Two signal event likelihoods including wrong jet assignments:
![]() Two background event likelihoods:
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| Joint Likelihood | ||||||||||||||||||||
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This is a joint likelihood from a full realistic PE:
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| Fit Likelihood | ||||||||||||||||||||
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We fit joint likelihood using 2D function f(x, y) = ax2 + by2 + cxy + dx + ey + f. We take minimum point as a Mtop and ΔJES, and one sigma is considered as width where we slice along x-y plane(Mtop and JES plane) at height of Δ&chi2=1 from minimum point. | ||||||||||||||||||||
| Mapping Function | ||||||||||||||||||||
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The effects of wrong jets assignments, unmatched events with HEPG and background contaminations generate the bias of reconstruction of our analysis.To correct these effects, we introduce 2D mapping functions:
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| Linearities and Residuals | ||||||||||||||||||||
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After correction with 2D mapping function, we check linearities and residuals to validate our method.
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| Pull Width | ||||||||||||||||||||
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The pull width is also checked if our estimation of an error is valid. Pull is defind as: ![]()
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| Data Fit and Uncertainties | ||||||||||||||||||||
This is the fit result of data with 17fb-1 and we measured Mtop to be 171.6 ± 2.0(Stat.+JES) GeV/c2.
![]() We compare measured statistical uncertainty with expected uncertainty obtained by many pseudo experiments with MC events whose input top mass is 170 GeV/c2. 68% of pseudo experiments had smaller uncertainty than our measured statistical uncertainty.
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| Systematic Uncertainties | ||||||||||||||||||||
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The systematic uncertainties are shown in the table below:
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| Conclusions | ||||||||||||||||||||
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We measured top quark mass using 1.7fb-1 to be: |