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CMS-HIG-16-043 ; CERN-EP-2017-181
Observation of the Higgs boson decay to a pair of τ leptons
Phys. Lett. B 779 (2018) 283
Abstract: A measurement of the coupling strength of the Higgs boson to τ leptons is performed using events recorded in proton-proton collisions by the CMS experiment at the LHC in 2016 at a center-of-mass energy of 13 TeV. The data set corresponds to an integrated luminosity of 35.9 fb1. The Hττ signal is established with a significance of 4.9 standard deviations, to be compared to an expected significance of 4.7 standard deviations. The best fit of the product of the observed Hττ signal production cross section and branching fraction is 1.09+0.270.26 times the standard model expectation. The combination with the corresponding measurement performed with data collected by the CMS experiment at center-of-mass energies of 7 and 8 TeV leads to an observed significance of 5.9 standard deviations, equal to the expected significance. This is the first observation of Higgs boson decays to τ leptons by a single experiment.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Distributions for the signal (left) and for some dominant background processes (right) of the two observables chosen in the 0-jet (top), VBF (center), and boosted (bottom) categories in the μτh decay channel. The background processes are chosen for illustrative purpose for their separation from the signal. The Zμμ background in the 0-jet category is concentrated in the regions where the visible mass is close to 90 GeV and is negligible when the τh candidate is reconstructed in the 3-prong decay mode. The Zττ background in the VBF category mostly lies at low mjj values whereas the distribution of VBF signal events extends to high mjj values. In the boosted category, the W+jets background, which behaves similarly to the QCD multijet background, is rather flat with respect to mττ, and is concentrated at low pTττ values. These distributions are not used as such to extract the results.

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Figure 1-a:
Distribution of the mvis observable for the signal in the 0-jet category and the μτh decay channel.

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Figure 1-b:
Distribution of the mvis observable for the Zμμ background in the 0-jet category and the μτh decay channel. The background is concentrated in the regions where the visible mass is close to 90 GeV and is negligible when the τh candidate is reconstructed in the 3-prong decay mode.

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Figure 1-c:
Distribution of the mττ observable for the signal in the VBF category and the μτh decay channel.

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Figure 1-d:
Distribution of the mττ observable for the Zττ background in the VBF category the W+jets background in the boosted category and the μτh decay channel. The background mostly lies at low mjj values whereas the distribution of VBF signal events extends to high mjj values.

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Figure 1-e:
Distribution of the mττ observable for the signal in the boosted category and the μτh decay channel.

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Figure 1-f:
Distribution of the mττ observable for the W+jets background in the boosted category and the μτh decay channel. The background behaves similarly to the QCD multijet background, is rather flat with respect to mττ, and is concentrated at low pTττ values.

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Figure 2:
Control regions enriched in the W+jets background used in the maximum likelihood fit, together with the signal regions, to extract the results. The normalization of the predicted background distributions corresponds to the result of the global fit. These regions, defined with mT> 80 GeV , control the yields of the W+jets background in the μτh and eτh channels. The constraints obtained in the boosted categories are propagated to the VBF categories of the corresponding channels.

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Figure 2-a:
Control region enriched in the W+jets background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined with mT> 80 GeV, controls the yield of the W+jets background for the μτh channel in the 0-jet category. The normalization of the predicted background distribution corresponds to the result of the global fit. The legend is found on Fig.2-e.

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Figure 2-b:
Control region enriched in the W+jets background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined with mT> 80 GeV, controls the yield of the W+jets background for the μτh channel in the boosted category. The normalization of the predicted background distribution corresponds to the result of the global fit. The legend is found on Fig.2-e.

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Figure 2-c:
Control region enriched in the W+jets background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined with mT> 80 GeV, controls the yield of the W+jets background for the eτh channel in the 0-jet category. The normalization of the predicted background distribution corresponds to the result of the global fit. The legend is found on Fig.2-e.

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Figure 2-d:
Control region enriched in the W+jets background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined with mT> 80 GeV, controls the yield of the W+jets background for the eτh channel in the boosted category. The normalization of the predicted background distribution corresponds to the result of the global fit. The legend is found on Fig.2-e.

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Figure 2-e:
Legend of Fig.2.

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Figure 3:
Control regions enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. The normalization of the predicted background distributions corresponds to the result of the global fit. These regions, defined by selecting events with opposite-sign and τh candidates with passing inverted isolation conditions, control the yields of the QCD multijet background in the μτh and eτh channels. The constraints obtained in the boosted categories are propagated to the VBF categories of the corresponding channels.

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Figure 3-a:
Control region enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined by selecting events with opposite-sign and τh candidates with passing inverted isolation conditions, controls the yields of the QCD multijet background for the μτh channel in the 0-jet category. The normalization of the predicted background distributions corresponds to the result of the global fit. The legend is found on Fig.3-c.

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Figure 3-b:
Control region enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined by selecting events with opposite-sign and τh candidates with passing inverted isolation conditions, controls the yields of the QCD multijet background for the μτh channel in the boosted category. The normalization of the predicted background distributions corresponds to the result of the global fit. The legend is found on Fig.3-c.

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Figure 3-c:
Legend of Fig.3.

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Figure 3-d:
Control region enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined by selecting events with opposite-sign and τh candidates with passing inverted isolation conditions, controls the yields of the QCD multijet background for the eτh channel in the 0-jet category. The normalization of the predicted background distributions corresponds to the result of the global fit. The legend is found on Fig.3-c.

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Figure 3-e:
Control region enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, defined by selecting events with opposite-sign and τh candidates with passing inverted isolation conditions, controls the yields of the QCD multijet background for the eτh channel in the boosted category. The normalization of the predicted background distributions corresponds to the result of the global fit. The legend is found on Fig.3-c.

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Figure 4:
Control regions enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. The normalization of the predicted background distributions corresponds to the result of the global fit. These regions, formed by selecting events with opposite-sign τh candidates passing relaxed isolation requirements, control the yields of the QCD multijet background in the τhτh channel.

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Figure 4-a:
Control region enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, formed by selecting events with opposite-sign τh candidates passing relaxed isolation requirements, controls the yields of the QCD multijet background for the τhτh channel in the 0-jet category. The normalization of the predicted background distributions corresponds to the result of the global fit. The legend is found on Fig.4-d.

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Figure 4-b:
Control region enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, formed by selecting events with opposite-sign τh candidates passing relaxed isolation requirements, controls the yields of the QCD multijet background for the τhτh channel in the boosted category. The normalization of the predicted background distributions corresponds to the result of the global fit. The legend is found on Fig.4-d.

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Figure 4-c:
Control region enriched in the QCD multijet background used in the maximum likelihood fit, together with the signal regions, to extract the results. This region, formed by selecting events with opposite-sign τh candidates passing relaxed isolation requirements, controls the yields of the QCD multijet background for the τhτh channel in the VBF category. The normalization of the predicted background distributions corresponds to the result of the global fit. The legend is found on Fig.4-d.

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Figure 4-d:
Legend of Fig.4.

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Figure 5:
Control region enriched in the tˉt background, used in the maximum likelihood fit, together with the signal regions, to extract the results. The normalization of the predicted background distributions corresponds to the result of the global fit. This region, defined by inverting the pζ requirement and rejecting events with no jet in the eμ final state, is used to estimate the yields of the tˉt background in all channels.

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Figure 5-a:
Control region enriched in the tˉt background, used in the maximum likelihood fit, together with the signal regions, to extract the results. The normalization of the predicted background distributions corresponds to the result of the global fit. This region, defined by inverting the pζ requirement and rejecting events with no jet in the eμ final state, is used to estimate the yields of the tˉt background in all channels. The legend is found on Fig.5-b.

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Figure 5-b:
Legend of Fig.5.

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Figure 6:
Observed and predicted 2D distributions in the VBF category of the τhτh decay channel. The normalization of the predicted background distributions corresponds to the result of the global fit. The signal distribution is normalized to its best fit signal strength. The background histograms are stacked. The "Others" background contribution includes events from diboson and single top quark production, as well as Higgs boson decays to a pair of W bosons. The background uncertainty band accounts for all sources of background uncertainty, systematic as well as statistical, after the global fit. The signal is shown both as a stacked filled histogram and an open overlaid histogram.

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Figure 7:
Observed and predicted 2D distributions in the VBF category of the μτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 8:
Observed and predicted 2D distributions in the VBF category of the eτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 9:
Observed and predicted 2D distributions in the VBF category of the eμ decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 10:
Observed and predicted 2D distributions in the boosted category of the τhτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 11:
Observed and predicted 2D distributions in the boosted category of the μτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 12:
Observed and predicted 2D distributions in the boosted category of the eτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 13:
Observed and predicted 2D distributions in the boosted category of the eμ decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 14:
Observed and predicted distributions in the 0-jet category of the τhτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 15:
Observed and predicted 2D distributions in the 0-jet category of the μτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 16:
Observed and predicted 2D distributions in the 0-jet category of the eτh decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 17:
Observed and predicted 2D distributions in the 0-jet category of the eμ decay channel. The description of the histograms is the same as in Fig. 6.

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Figure 18:
Distribution of the decimal logarithm of the ratio between the expected signal and the sum of expected signal and expected background in each bin of the mass distributions used to extract the results, in all signal regions. The background contributions are separated by decay channel. The inset shows the corresponding difference between the observed data and expected background distributions divided by the background expectation, as well as the signal expectation divided by the background expectation.

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Figure 19:
Combined observed and predicted mττ distributions. The leftpane includes the VBF category of the μτh, eτh and eμ channels, and the rightpane includes all other channels that make use of mττ instead of mvis for the signal strength fit. The binning reflects the one used in the 2D distributions, and does not allow merging of the two figures. The normalization of the predicted background distributions corresponds to the result of the global fit, while the signal is normalized to its best fit signal strength. The mass distributions for a constant range of the second dimension of the signal distributions are weighted according to S/(S+B), where S and B are computed, respectively, as the signal or background contribution in the mass distribution excluding the first and last bins. The "Others" background contribution includes events from diboson, tˉt, and single top quark production, as well as Higgs boson decay to a pair of W bosons and Z bosons decaying to a pair of light leptons. The background uncertainty band accounts for all sources of background uncertainty, systematic as well as statistical, after the global fit. The inset shows the corresponding difference between the observed data and expected background distributions, together with the signal expectation. The signal yield is not affected by the reweighting.

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Figure 19-a:
Combined observed and predicted mττ distribution that includes the VBF category of the μτh, eτh and eμ channels. The binning reflects the one used in the 2D distributions, and does not allow merging of the two figures. The normalization of the predicted background distributions corresponds to the result of the global fit, while the signal is normalized to its best fit signal strength. The mass distributions for a constant range of the second dimension of the signal distributions are weighted according to S/(S+B), where S and B are computed, respectively, as the signal or background contribution in the mass distribution excluding the first and last bins. The "Others" background contribution includes events from diboson, tˉt, and single top quark production, as well as Higgs boson decay to a pair of W bosons and Z bosons decaying to a pair of light leptons. The background uncertainty band accounts for all sources of background uncertainty, systematic as well as statistical, after the global fit. The inset shows the corresponding difference between the observed data and expected background distributions, together with the signal expectation. The signal yield is not affected by the reweighting.

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Figure 19-b:
Combined observed and predicted mττ distribution that includes all channels other than the VBF category of the μτh, eτh and eμ channels that make use of mττ instead of mvis for the signal strength fit. The binning reflects the one used in the 2D distributions, and does not allow merging of the two figures. The normalization of the predicted background distributions corresponds to the result of the global fit, while the signal is normalized to its best fit signal strength. The mass distributions for a constant range of the second dimension of the signal distributions are weighted according to S/(S+B), where S and B are computed, respectively, as the signal or background contribution in the mass distribution excluding the first and last bins. The "Others" background contribution includes events from diboson, tˉt, and single top quark production, as well as Higgs boson decay to a pair of W bosons and Z bosons decaying to a pair of light leptons. The background uncertainty band accounts for all sources of background uncertainty, systematic as well as statistical, after the global fit. The inset shows the corresponding difference between the observed data and expected background distributions, together with the signal expectation. The signal yield is not affected by the reweighting.

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Figure 20:
Local p-value and significance as a function of the SM Higgs boson mass hypothesis. The observation (red, solid) is compared to the expectation (blue, dashed) for a Higgs boson with a mass mH= 125.09 GeV. The background includes Higgs boson decays to pairs of W bosons, with mH= 125.09 GeV.

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Figure 21:
Best fit signal strength per category (left) and channel (right), for mH= 125.09 GeV. The constraints from the global fit are used to extract each of the individual best fit signal strengths. The combined best fit signal strength is μ= 1.09+0.270.26.

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Figure 21-a:
Best fit signal strength per category, for mH= 125.09 GeV. The constraints from the global fit are used to extract each of the individual best fit signal strengths. The combined best fit signal strength is μ= 1.09+0.270.26.

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Figure 21-b:
Best fit signal strength per channel, for mH= 125.09 GeV. The constraints from the global fit are used to extract each of the individual best fit signal strengths. The combined best fit signal strength is μ= 1.09+0.270.26.

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Figure 22:
Scan of the negative log-likelihood difference as a function of κV and κf, for mH= 125.09 GeV. All nuisance parameters are profiled for each point. For this scan, the ppHWW contribution is treated as a signal process.
Tables

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Table 1:
Kinematic selection requirements for the four di-τ decay channels. The trigger requirement is defined by a combination of trigger candidates with pT over a given threshold (in GeV ), indicated inside parentheses. The pseudorapidity thresholds come from trigger and object reconstruction constraints. The pT thresholds for the lepton selection are driven by the trigger requirements, except for the leading τh candidate in the τhτh channel, the τh candidate in the μτh and eτh channels, and the muon in the eμ channel, where they have been optimized to increase the significance of the analysis.

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Table 2:
Category selection and observables used to build the 2D kinematic distributions. The events neither selected in the 0-jet nor in the VBF category are included in the boosted category, as denoted by "Others".

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Table 3:
Sources of systematic uncertainty. If the global fit to the signal and control regions, described in the next section, significantly constrains these uncertainties, the values of the uncertainties after the global fit are indicated in the third column. The acronyms CR and ID stand for control region and identification, respectively.

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Table 4:
Background and signal expectations, together with the number of observed events, for bins in the signal region for which log10(S/(S+B))>0.9, where S and B are, respectively, the number of expected signal events for a Higgs boson with a mass mH= 125.09 GeV and of expected background events, in those bins. The background uncertainty accounts for all sources of background uncertainty, systematic as well as statistical, after the global fit. The contribution from "other backgrounds" includes events from diboson and single top quark production, as well as Higgs boson decays to a pair of W bosons.
Summary
A measurement of the coupling of the Higgs boson to τ leptons, based on data collected in pp collisions with the CMS detector in 2016 at a center-of-mass energy of 13 TeV, has been presented. Event categories are designed to separately target Higgs boson signal events produced by gluon or vector boson fusion. The results are extracted via maximum likelihood fits in two-dimensional planes, and give an observed significance for Higgs boson decays to τ lepton pairs of 4.9 standard deviations, to be compared with an expected significance of 4.7 standard deviations. The combination with the corresponding measurement performed at center-of-mass energies of 7 and 8 TeV with the CMS detector leads to the first observation by a single experiment of decays of the Higgs boson to pairs of τ leptons, with a significance of 5.9 standard deviations.
References
1 S. L. Glashow Partial-symmetries of weak interactions NP 22 (1961) 579
2 S. Weinberg A model of leptons PRL 19 (1967) 1264
3 A. Salam Weak and electromagnetic interactions in Elementary particle physics: relativistic groups and analyticity, 1968, Proceedings of the eighth Nobel symposium
4 F. Englert and R. Brout Broken symmetry and the mass of gauge vector mesons PRL 13 (1964) 321
5 P. W. Higgs Broken symmetries, massless particles and gauge fields PL12 (1964) 132
6 P. W. Higgs Broken symmetries and the masses of gauge bosons PRL 13 (1964) 508
7 G. S. Guralnik, C. R. Hagen, and T. W. B. Kibble Global conservation laws and massless particles PRL 13 (1964) 585
8 P. W. Higgs Spontaneous symmetry breakdown without massless bosons PR145 (1966) 1156
9 T. W. B. Kibble Symmetry Breaking in Non-Abelian Gauge Theories PR155 (1967) 1554
10 ATLAS Collaboration Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC PLB 716 (2012) 1 1207.7214
11 CMS Collaboration Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC PLB 716 (2012) 30 CMS-HIG-12-028
1207.7235
12 CMS Collaboration Observation of a new boson with mass near 125 GeV in pp collisions at s= 7 and 8 TeV JHEP 06 (2013) 081 CMS-HIG-12-036
1303.4571
13 ATLAS Collaboration Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at s= 7 and 8 TeV in the ATLAS experiment EPJC 76 (2016) 6 1507.04548
14 CMS Collaboration Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV EPJC 75 (2015) 212 CMS-HIG-14-009
1412.8662
15 CMS Collaboration Study of the mass and spin-parity of the Higgs boson candidate via its decays to Z boson pairs PRL 110 (2013) 081803 CMS-HIG-12-041
1212.6639
16 ATLAS Collaboration Evidence for the spin-0 nature of the Higgs boson using ATLAS data PLB 726 (2013) 120 1307.1432
17 CMS Collaboration Constraints on the spin-parity and anomalous HVV couplings of the Higgs boson in proton collisions at 7 and 8 TeV PRD 92 (2015) 012004 CMS-HIG-14-018
1411.3441
18 CMS Collaboration Measurements of properties of the Higgs boson decaying into the four-lepton final state in pp collisions at s= 13 TeV Submitted to JHEP CMS-HIG-16-041
1706.09936
19 ATLAS and CMS Collaboration Combined measurement of the Higgs boson mass in pp collisions at s= 7 and 8 TeV with the ATLAS and CMS experiments PRL 114 (2015) 191803 1503.07589
20 ALEPH Collaboration Observation of an excess in the search for the Standard Model Higgs boson at ALEPH PLB 495 (2000) 1 hep-ex/0011045
21 DELPHI Collaboration Final results from DELPHI on the searches for SM and MSSM neutral Higgs bosons EPJC 32 (2004) 145 hep-ex/0303013
22 L3 Collaboration Standard model Higgs boson with the L3 experiment at LEP PLB 517 (2001) 319 hep-ex/0107054
23 OPAL Collaboration Search for the Standard Model Higgs boson in e+e collisions at s= 192--209 GeV PLB 499 (2001) 38 hep-ex/0101014
24 CDF Collaboration Search for a low-mass standard model Higgs boson in the ττ decay channel in pˉp collisions at s= 1.96 TeV PRL 108 (2012) 181804 1201.4880
25 D0 Collaboration Search for the standard model Higgs boson in tau lepton final states PLB 714 (2012) 237 1203.4443
26 CMS Collaboration Evidence for the 125 GeV Higgs boson decaying to a pair of τ leptons JHEP 05 (2014) 104 CMS-HIG-13-004
1401.5041
27 ATLAS Collaboration Evidence for the Higgs-boson Yukawa coupling to tau leptons with the ATLAS detector JHEP 04 (2015) 117 1501.04943
28 ATLAS, CMS Collaboration Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at s= 7 and 8 TeV JHEP 08 (2016) 045 1606.02266
29 CMS Collaboration The CMS trigger system JINST 12 (2017) P01020 CMS-TRG-12-001
1609.02366
30 CMS Collaboration The CMS experiment at the CERN LHC JINST 3 (2008) S08004 CMS-00-001
31 P. Nason A new method for combining NLO QCD with shower Monte Carlo algorithms JHEP 11 (2004) 040 hep-ph/0409146
32 S. Frixione, P. Nason, and C. Oleari Matching NLO QCD computations with parton shower simulations: the POWHEG method JHEP 11 (2007) 070 0709.2092
33 S. Alioli, P. Nason, C. Oleari, and E. Re A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX JHEP 06 (2010) 043 1002.2581
34 S. Alioli et al. Jet pair production in POWHEG JHEP 04 (2011) 081 1012.3380
35 S. Alioli, P. Nason, C. Oleari, and E. Re NLO Higgs boson production via gluon fusion matched with shower in POWHEG JHEP 04 (2009) 002 0812.0578
36 G. Luisoni, P. Nason, C. Oleari, and F. Tramontano HW±/HZ+0 and 1 jet at NLO with the POWHEG BOX interfaced to GoSam and their merging within MiNLO JHEP 10 (2013) 083 1306.2542
37 R. D. Ball et al. Unbiased global determination of parton distributions and their uncertainties at NNLO and at LO NPB 855 (2012) 153 1107.2652
38 D. de Florian et al. Handbook of LHC Higgs cross sections: 4. deciphering the nature of the Higgs sector CERN-2017-002-M 1610.07922
39 A. Denner et al. Standard model Higgs-boson branching ratios with uncertainties EPJC 71 (2011) 1753 1107.5909
40 NNPDF Collaboration Impact of heavy quark masses on parton distributions and LHC phenomenology NPB 849 (2011) 296 1101.1300
41 J. Alwall et al. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations JHEP 07 (2014) 079 1405.0301
42 J. Alwall et al. Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions EPJC 53 (2008) 473 0706.2569
43 R. Frederix and S. Frixione Merging meets matching in MC@NLO JHEP 12 (2012) 061 1209.6215
44 T. Sjostrand et al. An introduction to PYTHIA 8.2 CPC 191 (2015) 159 1410.3012
45 CMS Collaboration Event generator tunes obtained from underlying event and multiparton scattering measurements EPJC 76 (2016) 155 CMS-GEN-14-001
1512.00815
46 GEANT4 Collaboration GEANT4 --- a simulation toolkit NIMA 506 (2003) 250
47 CMS Collaboration Particle-flow reconstruction and global event description with the CMS detector Submitted to J. Instrum CMS-PRF-14-001
1706.04965
48 M. Cacciari, G. P. Salam, and G. Soyez The anti-kt jet clustering algorithm JHEP 04 (2008) 063 0802.1189
49 M. Cacciari, G. P. Salam, and G. Soyez FastJet user manual EPJC 72 (2012) 1896 1111.6097
50 CMS Collaboration Performance of CMS muon reconstruction in pp collision events at s= 7 TeV JINST 7 (2012) P10002 CMS-MUO-10-004
1206.4071
51 CMS Collaboration Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at s= 8 TeV JINST 10 (2015) P06005 CMS-EGM-13-001
1502.02701
52 M. Cacciari and G. P. Salam Dispelling the N3 myth for the kt jet-finder PLB 641 (2006) 57 hep-ph/0512210
53 CMS Collaboration Determination of jet energy calibration and transverse momentum resolution in CMS JINST 6 (2011) 11002 CMS-JME-10-011
1107.4277
54 CMS Collaboration Reconstruction and identification of τ lepton decays to hadrons and ντ at CMS JINST 11 (2016) P01019 CMS-TAU-14-001
1510.07488
55 CMS Collaboration Performance of reconstruction and identification of tau leptons in their decays to hadrons and tau neutrino in LHC Run-2 CMS-PAS-TAU-16-002 CMS-PAS-TAU-16-002
56 H. Voss, A. Hocker, J. Stelzer, and F. Tegenfeldt TMVA, the toolkit for multivariate data analysis with ROOT in XI Int. Workshop on Advanced Computing and Analysis Techniques in Physics Research, 2007 physics/0703039
57 CMS Collaboration Measurement of the Inclusive W and Z Production Cross Sections in pp Collisions at s= 7 TeV JHEP 10 (2011) 132 CMS-EWK-10-005
1107.4789
58 CMS Collaboration Performance of the CMS missing transverse momentum reconstruction in pp data at s= 8 TeV JINST 10 (2015) P02006 CMS-JME-13-003
1411.0511
59 L. Bianchini, J. Conway, E. K. Friis, and C. Veelken Reconstruction of the Higgs mass in Hττ Events by Dynamical Likelihood techniques J. Phys. Conf. Ser. 513 (2014) 022035
60 CMS Collaboration Performance of missing transverse momentum reconstruction algorithms in proton-proton collisions at s= 8 TeV with the CMS detector CMS-PAS-JME-12-002 CMS-PAS-JME-12-002
61 CMS Collaboration Measurement of the WZ production cross section in pp collisions at s= 13 TeV PLB 766 (2017) 268 CMS-SMP-16-002
1607.06943
62 CMS Collaboration Cross section measurement of t-channel single top quark production in pp collisions at s= 13 TeV In proofs, PLB CMS-TOP-16-003
1610.00678
63 D. de Florian, G. Ferrera, M. Grazzini, and D. Tommasini Higgs boson production at the LHC: transverse momentum resummation effects in the Hγγ, HWWlνlν and HZZ4 decay modes JHEP 06 (2012) 132 1203.6321
64 M. Grazzini and H. Sargsyan Heavy-quark mass effects in Higgs boson production at the LHC JHEP 09 (2013) 129 1306.4581
65 J. Bellm et al. Herwig++ 2.7 release note 1310.6877
66 I. W. Stewart and F. J. Tackmann Theory uncertainties for Higgs and other searches using jet bins PRD 85 (2012) 034011 1107.2117
67 CMS Collaboration CMS luminosity measurements for the 2016 data taking period CMS-PAS-LUM-17-001 CMS-PAS-LUM-17-001
68 J. S. Conway Incorporating nuisance parameters in likelihoods for multisource spectra in Proceedings of PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding, CERN-2011-006
69 R. J. Barlow Event classification using weighting methods J. Comput. Phys. 72 (1987) 202
70 ATLAS, CMS Collaborations, LHC Higgs Combination Group Procedure for the LHC Higgs boson search combination in Summer 2011 Technical Report ATL-PHYS-PUB 2011-11, CMS NOTE 2011/005, CERN
71 CMS Collaboration Combined results of searches for the standard model Higgs boson in pp collisions at s= 7 TeV PLB 710 (2012) 26 CMS-HIG-11-032
1202.1488
72 T. Junk Confidence level computation for combining searches with small statistics NIMA 434 (1999) 435 hep-ex/9902006
73 A. L. Read Presentation of search results: the CLs technique in Durham IPPP Workshop: Advanced Statistical Techniques in Particle Physics, Durham, 2002 [JPG 28 (2002) 2693]
Compact Muon Solenoid
LHC, CERN