This is a condensed description with plots for the analysis CMS-HIG-11-006
A search for the standard model Higgs boson decaying to two Z bosons with subsequent decay to a final state with two leptons and two quark-jets, , is presented. Data corresponding to an integrated luminosity of 1 of LHC proton-proton collisions at the center-of-mass energy of 7 TeV. were collected and analyzed by the CMS experiment. The selection to discriminate between signal and background events is based on kinematic and topological quantities, which include the angular spin correlations of the decay products. The events are classified according to probability of the jets to originate from quarks of light or heavy flavor or from gluons. No evidence for a Higgs boson is found and upper limits on the Higgs boson production cross section are set in the range of masses between 226 and 600 .
A measurement of ....
Text files with limits etc.
Figure | Label | Description |
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Figure 1 pdf, eps, png | Diagram describing the production and decay angles in the process . These angles are defined in the parent particle rest frames (H or Z). | |
Figure 2a pdf, eps, png | Distribution of the dijet invariant mass mjj. Points with error bars show distributions of data after preselection requirements, solid histograms depict the background expectation from simulated events with the different components illustrated. Open histograms indicate the expected distribution for a Higgs boson with mass 400 , multiplied by a factor of 100 for illustration. | |
Figure 2b pdf, eps, png | Distribution of the flavor tagging category. Points with error bars show distributions of data after preselection requirements, solid histograms depict the background expectation from simulated events with the different components illustrated. Open histograms indicate the expected distribution for a Higgs boson with mass 400 , multiplied by a factor of 100 for illustration. | |
Figure 2c pdf, eps, png | Distribution of the angular likelihood discriminant. Points with error bars show distributions of data after preselection requirements, solid histograms depict the background expectation from simulated events with the different components illustrated. Open histograms indicate the expected distribution for a Higgs boson with mass 400 , multiplied by a factor of 100 for illustration. | |
Figure 2d pdf, eps, png | Distribution of the quark-gluon likelihood discriminant. Points with error bars show distributions of data after preselection requirements, solid histograms depict the background expectation from simulated events with the different components illustrated. Open histograms indicate the expected distribution for a Higgs boson with mass 400 , multiplied by a factor of 100 for illustration. | |
Figure 3a pdf, eps, png | The mZZ invariant mass distribution after final selection in the 0 b-tag category. Points with error bars show distributions of data, solid histograms depict the background expectation from simulated events with the different components illustrated. Also shown is a hypothetical signal with the mass of 400 and cross section 3.0 times that of the SM Higgs, which is smaller than but roughly corresponds to exclusion limit obtained in each b-tag category. Solid curved line shows prediction of background from sideband extrapolation procedure. | |
Figure 3b pdf, eps, png | The mZZ invariant mass distribution after final selection in the 1 b-tag category. Points with error bars show distributions of data, solid histograms depict the background expectation from simulated events with the different components illustrated. Also shown is a hypothetical signal with the mass of 400 and cross section 3.0 times that of the SM Higgs, which is smaller than but roughly corresponds to exclusion limit obtained in each b-tag category. Solid curved line shows prediction of background from sideband extrapolation procedure. | |
Figure 3c pdf, eps, png | The mZZ invariant mass distribution after final selection in the 2 b-tag category. Points with error bars show distributions of data, solid histograms depict the background expectation from simulated events with the different components illustrated. Also shown is a hypothetical signal with the mass of 400 and cross section 3.0 times that of the SM Higgs, which is smaller than but roughly corresponds to exclusion limit obtained in each b-tag category. Solid curved line shows prediction of background from sideband extrapolation procedure. | |
Figure 4 pdf, eps, png | Comparison of the final state in data (points with error bars) and in the simulation (histogram). | |
Figure 5 pdf, eps, png | Observed (dashed) and expected (solid) 95% CL upper limit on the product of the Higgs boson production cross section and the branching fraction of using 1.00 of data obtained with the technique. The 68% and 95% ranges of expectation are also shown with green and yellow bands. The expected product of the SM Higgs production cross section and the branching fraction is shown as a red solid curve with a band indicating theoretical uncertainties at 68%. The same expectation in the SM4 model are shown with a red dashed curve with a band indicating theoretical uncertainties. | |
Figure 6 pdf, eps, png | Observed (dashed) and expected (solid) 95% CL upper limit on the ratio of the Higgs boson production cross section to the SM expectation using 1.00 of data obtained with the technique. The 68% and 95% ranges of expectation are also shown with green and yellow bands. The solid line at 1 indicates SM expectation. | |
Figure 7 pdf, eps, png | Observed (dashed) and expected (solid) 95% CL upper limit on the ratio of the Higgs boson production cross section to the expectation with the SM4 model using 1.00 of data obtained with the technique. The 68% and 95% ranges of expectation are also shown with green and yellow bands. The solid line at 1 indicates SM4 expectation. |
Figure | Label | Description |
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Figure 13 pdf, eps, png | Distribution of theTrack Counting High Efficiency tagging algorithm for data (points) and Monte Carlo simulation (histogram). | |
Figure 11 pdf, eps, png | Distribution of for data (points) and Monte Carlo Simulation (histogram). | |
Figure 12 pdf, eps, png | Distribution of for data (points) and Monte Carlo Simulation (histogram). | |
Figure 10 pdf, eps, png | Distribution of for data (points) and Monte Carlo Simulation (histogram). | |
Figure 9 pdf, eps, png | Distribution of for data (points) and Monte Carlo Simulation (histogram). | |
Figure 8 pdf, eps, png | Distribution of for data (points) and Monte Carlo Simulation (histogram). |