002743741 001__ 2743741 002743741 005__ 20230509041313.0 002743741 0248_ $$aoai:cds.cern.ch:2743741$$pcerncds:CERN$$pcerncds:CERN:FULLTEXT$$pcerncds:FULLTEXT 002743741 0247_ $$2DOI$$9arXiv$$a10.1140/epjc/s10052-021-09014-x$$qpublication 002743741 035__ $$9Inspire$$a1828962 002743741 037__ $$9arXiv$$aarXiv:2011.03652$$chep-ex 002743741 037__ $$9arXiv:reportnumber$$aCMS-HIG-19-008 002743741 037__ $$9arXiv:reportnumber$$aCERN-EP-2020-200 002743741 041__ $$aeng 002743741 088__ $$aCMS-HIG-19-008-003 002743741 100__ $$aSirunyan, Albert M$$iINSPIRE-00312131$$jCCID-432142$$tGRID:grid.48507.3e$$uYerevan Phys. Inst.$$vYerevan Physics Institute, Yerevan, Armenia 002743741 110__ $$aCMS Collaboration 002743741 245__ $$aMeasurement of the Higgs boson production rate in association with top quarks in final states with electrons, muons, and hadronically decaying tau leptons at $\sqrt{s} = $ 13 TeV 002743741 269__ $$aGeneva$$bCERN$$c07 Nov 2020 002743741 260__ $$c2021-04-30 002743741 300__ $$a51 p 002743741 500__ $$9arXiv$$aReplaced with the published version. Added the journal reference and the DOI. All the figures and tables can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/HIG-19-008 (CMS Public Pages) 002743741 520__ $$aThe rate for Higgs (H) bosons production in association with either one ($\mathrm{tH}$) or two (${\mathrm{t}}{\mathrm{\bar{t}}}\mathrm{H}$) top quarks is measured in final states containing multiple electrons, muons, or tau leptons decaying to hadrons and a neutrino, using proton-proton collisions recorded at a center-of-mass energy of 13 TeV by the CMS experiment. The analyzed data correspond to an integrated luminosity of 137 fb$^{-1}$. The analysis is aimed at events that contain $\mathrm{H} \to \mathrm{W}\mathrm{W}$, $\mathrm{H} \to \tau\tau$, or $\mathrm{H} \to \mathrm{Z}\mathrm{Z}$ decays and each of the top quark(s) decays either to lepton+jets or all-jet channels. Sensitivity to signal is maximized by including ten signatures in the analysis, depending on the lepton multiplicity. The separation among the $\mathrm{tH}$, the ${\mathrm{t}}{\mathrm{\bar{t}}}\mathrm{H}$, and the backgrounds is enhanced through machine-learning techniques and matrix-element methods. The measured production rates for the ${\mathrm{t}}{\mathrm{\bar{t}}}\mathrm{H}$ and $\mathrm{tH}$ signals correspond to 0.92 $\pm$ 0.19 (stat) $^{+0.17}_{-0.13}$ (syst) and 5.7 $\pm$ 2.7 (stat) $\pm$ 3.0 (syst) of their respective standard model (SM) expectations. The corresponding observed (expected) significance amounts to 4.7 (5.2) standard deviations for $\mathrm{t}\mathrm{\bar{t}}\mathrm{H}$, and to 1.4 (0.3) for $\mathrm{t}\mathrm{H}$ production. Assuming that the Higgs boson coupling to the tau lepton is equal in strength to its expectation in the SM, the coupling $y_{{\mathrm{t}}}$ of the Higgs boson to the top quark divided by its SM expectation, ${\kappa_{{\mathrm{t}}}}=y_{{\mathrm{t}}}/y_{{\mathrm{t}}}^{\mathrm{SM}}$, is constrained to be within $-0.9 < {\kappa_{{\mathrm{t}}}} < -0.7$ or $ 0.7 < {\kappa_{{\mathrm{t}}}} < 1.1$, at 95% confidence level. This result is the most sensitive measurement of the ${\mathrm{t}}{\mathrm{\bar{t}}}\mathrm{H}$ production rate to date. 002743741 520__ $$9Springer$$aThe rate for Higgs (${\mathrm{H}} $) bosons production in association with either one (${\mathrm{t}} {\mathrm{H}} $) or two (${\mathrm{t}} {{\overline{{{\mathrm{t}}}}}} {\mathrm{H}} $) top quarks is measured in final states containing multiple electrons, muons, or tau leptons decaying to hadrons and a neutrino, using proton–proton collisions recorded at a center-of-mass energy of $13\,\text {Te}\text {V} $ by the CMS experiment. The analyzed data correspond to an integrated luminosity of 137$\,\text {fb}^{-1}$. The analysis is aimed at events that contain ${\mathrm{H}} \rightarrow {\mathrm{W}} {\mathrm{W}} $, ${\mathrm{H}} \rightarrow {\tau } {\tau } $, or ${\mathrm{H}} \rightarrow {\mathrm{Z}} {\mathrm{Z}} $ decays and each of the top quark(s) decays either to lepton+jets or all-jet channels. Sensitivity to signal is maximized by including ten signatures in the analysis, depending on the lepton multiplicity. The separation among ${\mathrm{t}} {\mathrm{H}} $, ${\mathrm{t}} {{\overline{{{\mathrm{t}}}}}} {\mathrm{H}} $, and the backgrounds is enhanced through machine-learning techniques and matrix-element methods. The measured production rates for the ${\mathrm{t}} {{\overline{{{\mathrm{t}}}}}} {\mathrm{H}} $ and ${\mathrm{t}} {\mathrm{H}} $ signals correspond to $0.92 \pm 0.19\,\text {(stat)} ^{+0.17}_{-0.13}\,\text {(syst)} $ and $5.7 \pm 2.7\,\text {(stat)} \pm 3.0\,\text {(syst)} $ of their respective standard model (SM) expectations. The corresponding observed (expected) significance amounts to 4.7 (5.2) standard deviations for ${\mathrm{t}} {{\overline{{{\mathrm{t}}}}}} {\mathrm{H}} $, and to 1.4 (0.3) for ${\mathrm{t}} {\mathrm{H}} $ production. Assuming that the Higgs boson coupling to the tau lepton is equal in strength to its expectation in the SM, the coupling $y_{{\mathrm{t}}}$ of the Higgs boson to the top quark divided by its SM expectation, $\kappa _{{\mathrm{t}}}=y_{{\mathrm{t}}}/y_{{\mathrm{t}}}^{\mathrm {SM}}$, is constrained to be within $-0.9< \kappa _{{\mathrm{t}}}< -0.7$ or $0.7< \kappa _{{\mathrm{t}}}< 1.1$, at 95% confidence level. This result is the most sensitive measurement of the ${\mathrm{t}} {{\overline{{{\mathrm{t}}}}}} {\mathrm{H}} $ production rate to date. 002743741 520__ $$9arXiv$$aThe rate for Higgs (H) bosons production in association with either one (tH) or two ($\mathrm{t\bar{t}}$H) top quarks is measured in final states containing multiple electrons, muons, or tau leptons decaying to hadrons and a neutrino, using proton-proton collisions recorded at a center-of-mass energy of 13 TeV by the CMS experiment. The analyzed data correspond to an integrated luminosity of 137 fb$^{-1}$. The analysis is aimed at events that contain H $\to$ WW, H $\to$$\tau\tau$, or H $\to$ ZZ decays and each of the top quark(s) decays either to lepton+jets or all-jet channels. Sensitivity to signal is maximized by including ten signatures in the analysis, depending on the lepton multiplicity. The separation among the tH, the $\mathrm{t\bar{t}}$H, and the backgrounds is enhanced through machine-learning techniques and matrix-element methods. The measured production rates for the $\mathrm{t\bar{t}}$H and tH signals correspond to 0.92 $\pm$ 0.19 (stat) $^{+0.17}_{-0.13}$ (syst) and 5.7 $\pm$ 2.7 (stat) $\pm$ 3.0 (syst) of their respective standard model (SM) expectations. The corresponding observed (expected) significance amounts to 4.7 (5.2) standard deviations for $\mathrm{t\bar{t}}$H, and to 1.4 (0.3) for tH production. Assuming that the Higgs boson coupling to the tau lepton is equal in strength to its expectation in the SM, the coupling $y_{\mathrm{t}}$ of the Higgs boson to the top quark divided by its SM expectation, $\kappa_\mathrm{t}$ = $y_\mathrm{t} / y_\mathrm{t}^\mathrm{SM}$, is constrained to be within $-$0.9 $\lt$$\kappa_\mathrm{t}$$\lt$$-$0.7 or 0.7 $\lt$$\kappa_\mathrm{t}$$\lt$ 1.1, at 95% confidence level. This result is the most sensitive measurement of the $\mathrm{t\bar{t}}$H production rate to date. 002743741 540__ $$3preprint$$aCC-BY-4.0$$uhttp://creativecommons.org/licenses/by/4.0/ 002743741 540__ $$3publication$$aCC-BY-4.0$$fSCOAP3$$uhttp://creativecommons.org/licenses/by/4.0/ 002743741 542__ $$3preprint$$dCERN$$g2020 002743741 542__ $$3publication$$dCERN$$g2021 002743741 65017 $$2SzGeCERN$$aParticle Physics - Experiment 002743741 6531_ $$9CERN$$aHiggs physics 002743741 693__ $$aCERN LHC$$eCMS 002743741 690C_ $$aCMS_Papers 002743741 690C_ $$aCERN 002743741 690C_ $$aARTICLE 002743741 700__ $$aTumasyan, Armen$$iINSPIRE-00175052$$jCCID-673689$$uYerevan Phys. 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Stephanie$$iINSPIRE-00053312$$jCCID-555546$$jORCID:0000-0002-8036-9267$$uLyon, IPN 002743741 700__ $$aBernet, Colin$$iINSPIRE-00027590$$jCCID-540281$$uLyon, IPN 002743741 700__ $$aBoudoul, Gaelle$$iINSPIRE-00315372$$jCCID-613518$$uLyon, IPN 002743741 700__ $$aCamen, Camille$$iINSPIRE-00648958$$jCCID-819644$$uLyon, IPN 002743741 700__ $$aCarle, Aurélien$$iINSPIRE-00671791$$jCCID-829765$$uLyon, IPN 002743741 700__ $$aChanon, Nicolas$$iINSPIRE-00308169$$jCCID-670319$$jORCID:0000-0002-2939-5646$$uLyon, IPN 002743741 700__ $$aContardo, Didier$$iINSPIRE-00315396$$jCCID-383529$$uLyon, IPN 002743741 700__ $$aDepasse, Pierre$$iINSPIRE-00313925$$jCCID-386932$$jORCID:0000-0001-7556-2743$$uLyon, IPN 002743741 700__ $$aEl Mamouni, Houmani$$iINSPIRE-00315408$$jCCID-389817$$uLyon, IPN 002743741 700__ $$aFay, Jean$$iINSPIRE-00315410$$jCCID-391098$$uLyon, IPN 002743741 700__ $$aGascon, Susan$$iINSPIRE-00313998$$jCCID-394364$$uLyon, IPN 002743741 700__ $$aGouzevitch, 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Sébastien$$iINSPIRE-00057919$$jCCID-555893$$uLyon, IPN 002743741 700__ $$aKhvedelidze, Arsen$$iINSPIRE-00342220$$jCCID-737791$$jORCID:0000-0002-5953-0140$$uGTU, Tbilisi$$uDubna, JINR 002743741 700__ $$aTsamalaidze, Zviad$$iINSPIRE-00208708$$jCCID-470979$$uGTU, Tbilisi$$uDubna, JINR 002743741 700__ $$aFeld, Lutz$$iINSPIRE-00315477$$jCCID-456299$$jORCID:0000-0001-9813-8646$$uAachen, Tech. 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$$aPeltola, Timo$$iINSPIRE-00335524$$jCCID-715803$$jORCID:0000-0002-4732-4008$$uTexas Tech. 002743741 700__ $$aUndleeb, Sonaina$$iINSPIRE-00356500$$jCCID-742606$$uTexas Tech. 002743741 700__ $$aVolobouev, Igor$$iINSPIRE-00134255$$jCCID-664367$$uTexas Tech. 002743741 700__ $$aWang, Zhixing$$iINSPIRE-00441095$$jCCID-764028$$uTexas Tech. 002743741 700__ $$aWhitbeck, Andrew$$iINSPIRE-00192047$$jCCID-694986$$uTexas Tech. 002743741 700__ $$aAppelt, Eric$$iINSPIRE-00192137$$jCCID-693395$$jORCID:0000-0003-3389-4584$$uVanderbilt U. 002743741 700__ $$aGreene, Senta$$iINSPIRE-00204394$$jCCID-696025$$uVanderbilt U. 002743741 700__ $$aGurrola, Alfredo$$iINSPIRE-00319866$$jCCID-673373$$uVanderbilt U. 002743741 700__ $$aJanjam, Ravi$$iINSPIRE-00366490$$jCCID-746084$$uVanderbilt U. 002743741 700__ $$aJohns, Willard$$iINSPIRE-00319891$$jCCID-644880$$uVanderbilt U. 002743741 700__ $$aMaguire, Charles$$iINSPIRE-00192149$$jCCID-671063$$uVanderbilt U. 002743741 700__ $$aMelo, Andrew$$iINSPIRE-00192151$$jCCID-692113$$uVanderbilt U. 002743741 700__ $$aNi, Hong$$iINSPIRE-00359951$$jCCID-743789$$uVanderbilt U. 002743741 700__ $$aPadeken, Klaas$$iINSPIRE-00359591$$jCCID-695583$$uVanderbilt U. 002743741 700__ $$aRomeo, Francesco$$iINSPIRE-00270769$$jCCID-674630$$uVanderbilt U. 002743741 700__ $$aSheldon, Paul$$iINSPIRE-00125796$$jCCID-644877$$jORCID:0000-0003-1550-5223$$uVanderbilt U. 002743741 700__ $$aTuo, Shengquan$$iINSPIRE-00208735$$jCCID-702533$$uVanderbilt U. 002743741 700__ $$aVelkovska, Julia$$iINSPIRE-00140382$$jCCID-679572$$jORCID:0000-0003-1423-5241$$uVanderbilt U. 002743741 700__ $$aArenton, Michael Wayne$$iINSPIRE-00062728$$jCCID-500719$$uVirginia U. 002743741 700__ $$aCox, Bradley$$iINSPIRE-00074842$$jCCID-490659$$uVirginia U. 002743741 700__ $$aCummings, Grace$$iINSPIRE-00567253$$jCCID-773580$$uVirginia U. 002743741 700__ $$aHakala, John$$iINSPIRE-00414679$$jCCID-759400$$uVirginia U. 002743741 700__ $$aHirosky, Robert$$iINSPIRE-00090388$$jCCID-653184$$jORCID:0000-0003-0304-6330$$uVirginia U. 002743741 700__ $$aJoyce, Matthew$$iINSPIRE-00567281$$jCCID-790319$$uVirginia U. 002743741 700__ $$aLedovskoy, Alexander$$iINSPIRE-00326803$$jCCID-656988$$uVirginia U. 002743741 700__ $$aAng Li$$iINSPIRE-00675460$$jCCID-818091$$uVirginia U. 002743741 700__ $$aNeu, Christopher$$iINSPIRE-00110970$$jCCID-678187$$jORCID:0000-0003-3644-8627$$uVirginia U. 002743741 700__ $$aTannenwald, Benjamin$$iINSPIRE-00375951$$jCCID-706904$$jORCID:0000-0002-5570-8095$$uVirginia U. 002743741 700__ $$aWang, Yanchu$$iINSPIRE-00415848$$jCCID-759639$$uVirginia U. 002743741 700__ $$aWolfe, Evan$$iINSPIRE-00345579$$jCCID-739620$$uVirginia U. 002743741 700__ $$aXia, Fan$$iINSPIRE-00381519$$jCCID-751701$$uVirginia U. 002743741 700__ $$aKarchin, Paul Edmund$$iINSPIRE-00094965$$jCCID-404170$$uWayne State U. 002743741 700__ $$aPoudyal, Nabin$$iINSPIRE-00433300$$jCCID-762448$$jORCID:0000-0003-4278-3464$$uWayne State U. 002743741 700__ $$aThapa, Prakash$$iINSPIRE-00414951$$jCCID-759347$$uWayne State U. 002743741 700__ $$aBlack, Kevin$$iINSPIRE-00175789$$jCCID-644660$$uWisconsin U., Madison 002743741 700__ $$aBose, Tulika$$iINSPIRE-00049183$$jCCID-661415$$uWisconsin U., Madison 002743741 700__ $$aBuchanan, James$$iINSPIRE-00432879$$jCCID-762359$$uWisconsin U., Madison 002743741 700__ $$aCaillol, Cécile$$iINSPIRE-00357978$$jCCID-734274$$uWisconsin U., Madison 002743741 700__ $$aDasu, Sridhara$$iINSPIRE-00075802$$jCCID-385338$$jORCID:0000-0001-5993-9045$$uWisconsin U., Madison 002743741 700__ $$aDe Bruyn, Isabelle$$iINSPIRE-00387030$$jCCID-718510$$jORCID:0000-0003-1704-4360$$uWisconsin U., Madison 002743741 700__ $$aEveraerts, Pieter$$iINSPIRE-00308780$$jCCID-627874$$jORCID:0000-0003-3848-324X$$uWisconsin U., Madison 002743741 700__ $$aGalloni, Camilla$$iINSPIRE-00376900$$jCCID-754458$$uWisconsin U., Madison 002743741 700__ $$aHe, He$$iINSPIRE-00663430$$jCCID-828459$$uWisconsin U., Madison 002743741 700__ $$aHerndon, Matthew$$iINSPIRE-00089874$$jCCID-454268$$jORCID:0000-0003-3043-1090$$uWisconsin U., Madison 002743741 700__ $$aHervé, Alain$$iINSPIRE-00089978$$jCCID-400165$$uWisconsin U., Madison 002743741 700__ $$aHussain, Usama$$iINSPIRE-00418485$$jCCID-753367$$uWisconsin U., Madison 002743741 700__ $$aLanaro, Armando$$iINSPIRE-00320822$$jCCID-407448$$uWisconsin U., Madison 002743741 700__ $$aLoeliger, Andrew$$iINSPIRE-00642592$$jCCID-820723$$uWisconsin U., Madison 002743741 700__ $$aLoveless, Richard$$iINSPIRE-00319957$$jCCID-410726$$uWisconsin U., Madison 002743741 700__ $$aMadhusudanan Sreekala, Jithin$$iINSPIRE-00644748$$jCCID-821276$$jORCID:0000-0003-2590-763X$$uWisconsin U., Madison 002743741 700__ $$aMallampalli, Abhishikth$$iINSPIRE-00670109$$jCCID-831711$$uWisconsin U., Madison 002743741 700__ $$aPinna, Deborah$$iINSPIRE-00381411$$jCCID-703912$$uWisconsin U., Madison 002743741 700__ $$aSavin, Alexander$$iINSPIRE-00319970$$jCCID-429552$$uWisconsin U., Madison 002743741 700__ $$aShang, Victor$$iINSPIRE-00677220$$jCCID-836015$$uWisconsin U., Madison 002743741 700__ $$aSharma, Varun$$iINSPIRE-00226073$$jCCID-714931$$jORCID:0000-0003-1287-1471$$uWisconsin U., Madison 002743741 700__ $$aSmith, Wesley H$$iINSPIRE-00127330$$jCCID-432334$$jORCID:0000-0003-3195-0909$$uWisconsin U., Madison 002743741 700__ $$aTeague, Dylan$$iINSPIRE-00743797$$jCCID-766213$$uWisconsin U., Madison 002743741 700__ $$aTrembath-reichert, Stephen$$iINSPIRE-00644758$$jCCID-821278$$uWisconsin U., Madison 002743741 700__ $$aVetens, Wren$$iINSPIRE-00676608$$jCCID-835087$$uWisconsin U., Madison 002743741 710__ $$gCMS Collaboration 002743741 710__ $$5PH-EP 002743741 773__ $$c378$$mpublication$$pEur. Phys. J. C$$v81$$xEur. Phys. J. C 81 (2021) 378$$y2021 002743741 78002 $$isupersedes$$rCMS-PAS-HIG-19-008$$w2725523 002743741 78002 $$isupersedes$$rCMS-PAS-HIG-17-005$$w2264553 002743741 78002 $$isupersedes$$rCMS-PAS-HIG-18-019$$w2649199 002743741 859__ $$fcms-publication-committee-chair@cern.ch 002743741 8564_ $$uhttp://cms.cern.ch/iCMS/analysisadmin/cadi?ancode=HIG-19-008$$yAdditional information for the analysis 002743741 8564_ $$uhttp://cms.cern.ch/iCMS/analysisadmin/authorinfo?ancode=HIG-19-008$$yCMS AuthorList 002743741 8564_ $$82263834$$s1211127$$uhttps://cds.cern.ch/record/2743741/files/CMS-HIG-19-008-arXiv.pdf$$yFulltext 002743741 8564_ $$82264441$$s15981$$uhttps://cds.cern.ch/record/2743741/files/Figure_014-a.png$$y00035 Production rate $\rhat_{\ttH}$ of the $\ttH$ signal (\cmsLeft) and $\rhat_{\tH}$ of $\tH$ signal (\cmsRight), in units of their rate of production expected in the SM, measured in each of the ten channels individually and for the combination of all channels. The central value of the signal strength in the \twoLeptonTwoTau is constrained to be greater than zero. 002743741 8564_ $$82264442$$s12324$$uhttps://cds.cern.ch/record/2743741/files/Figure_014-b.png$$y00036 Production rate $\rhat_{\ttH}$ of the $\ttH$ signal (\cmsLeft) and $\rhat_{\tH}$ of $\tH$ signal (\cmsRight), in units of their rate of production expected in the SM, measured in each of the ten channels individually and for the combination of all channels. The central value of the signal strength in the \twoLeptonTwoTau is constrained to be greater than zero. 002743741 8564_ $$82264443$$s16333$$uhttps://cds.cern.ch/record/2743741/files/Figure_012-b.png$$y00033 Distributions of discriminating observables in the $\threeLeptonZeroTau$ (\cmsLeft) and $\fourLeptonZeroTau$ (\cmsRight) control region. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264444$$s76375$$uhttps://cds.cern.ch/record/2743741/files/Figure_012-a.png$$y00032 Distributions of discriminating observables in the $\threeLeptonZeroTau$ (\cmsLeft) and $\fourLeptonZeroTau$ (\cmsRight) control region. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264445$$s41306$$uhttps://cds.cern.ch/record/2743741/files/Figure_010-a.png$$y00025 Distributions of the BDT output for events selected in the $\oneLeptonOneTau$ (\cmsTop \cmsLeft), $\zeroLeptonTwoTau$ (\cmsTop \cmsRight), and $\twoLeptonosOneTau$ (\cmsBottom) channels. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264446$$s47624$$uhttps://cds.cern.ch/record/2743741/files/Figure_010-c.png$$y00027 Distributions of the BDT output for events selected in the $\oneLeptonOneTau$ (\cmsTop \cmsLeft), $\zeroLeptonTwoTau$ (\cmsTop \cmsRight), and $\twoLeptonosOneTau$ (\cmsBottom) channels. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264447$$s44281$$uhttps://cds.cern.ch/record/2743741/files/Figure_010-b.png$$y00026 Distributions of the BDT output for events selected in the $\oneLeptonOneTau$ (\cmsTop \cmsLeft), $\zeroLeptonTwoTau$ (\cmsTop \cmsRight), and $\twoLeptonosOneTau$ (\cmsBottom) channels. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264448$$s59490$$uhttps://cds.cern.ch/record/2743741/files/Figure_008-b.png$$y00018 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\twoLeptonssZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), $\ttW$ background (\cmsBottom \cmsLeft), and other backgrounds (\cmsBottom \cmsRight). The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264449$$s70429$$uhttps://cds.cern.ch/record/2743741/files/Figure_008-c.png$$y00019 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\twoLeptonssZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), $\ttW$ background (\cmsBottom \cmsLeft), and other backgrounds (\cmsBottom \cmsRight). The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264450$$s61562$$uhttps://cds.cern.ch/record/2743741/files/Figure_008-a.png$$y00017 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\twoLeptonssZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), $\ttW$ background (\cmsBottom \cmsLeft), and other backgrounds (\cmsBottom \cmsRight). The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264451$$s55037$$uhttps://cds.cern.ch/record/2743741/files/Figure_009-c.png$$y00023 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\threeLeptonZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), and background (\cmsBottom \cmsLeft), and for events selected in the $\twoLeptonssOneTau$ channel (\cmsBottom \cmsRight). In case of the $\twoLeptonssOneTau$ channel, the activation value of the ANN output nodes for $\ttH$ signal, $\tH$ signal, and background are shown together in a single histogram, concatenating histogram bins as appropriate and enumerating the bins by a monotonously increasing number. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264452$$s49053$$uhttps://cds.cern.ch/record/2743741/files/Figure_009-b.png$$y00022 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\threeLeptonZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), and background (\cmsBottom \cmsLeft), and for events selected in the $\twoLeptonssOneTau$ channel (\cmsBottom \cmsRight). In case of the $\twoLeptonssOneTau$ channel, the activation value of the ANN output nodes for $\ttH$ signal, $\tH$ signal, and background are shown together in a single histogram, concatenating histogram bins as appropriate and enumerating the bins by a monotonously increasing number. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264453$$s66268$$uhttps://cds.cern.ch/record/2743741/files/Figure_008-d.png$$y00020 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\twoLeptonssZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), $\ttW$ background (\cmsBottom \cmsLeft), and other backgrounds (\cmsBottom \cmsRight). The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264454$$s9946$$uhttps://cds.cern.ch/record/2743741/files/Figure_002-e.png$$y00006 Feynman diagrams at LO for $\tH$ production via the $t$-channel ($\tHq$ in \cmsTop \cmsLeft and \cmsTop \cmsRight) and $s$-channel (\cmsMid) processes, and for associated production of a Higgs boson with a single top quark and a $\PW$ boson ($\tHW$ in \cmsBottom \cmsLeft and \cmsBottom \cmsRight). The $\tHq$ and $\tHW$ production processes are shown for the five-flavor scheme. 002743741 8564_ $$82264455$$s1494691$$uhttps://cds.cern.ch/record/2743741/files/2011.03652.pdf$$yFulltext 002743741 8564_ $$82264456$$s16650$$uhttps://cds.cern.ch/record/2743741/files/Figure_015-d.png$$y00040 Two-dimensional contours of the likelihood function $\mathcal{L}$, given by Eq.~(\ref{eq:likelihoodFunction}), as a function of the production rates of the $\ttH$ and $\tH$ signals ($\r_{\ttH}$ and $\r_{\tH}$) and of the $\ttZ$ and $\ttW$ backgrounds ($\r_{\ttZ}$ and $\r_{\ttW}$). The two production rates that are not shown on either the $x$ or the $y$ axis are profiled such that the function $\mathcal{L}$ attains its minimum at each point in the $x$-$y$ plane. 002743741 8564_ $$82264457$$s44135$$uhttps://cds.cern.ch/record/2743741/files/Figure_011-a.png$$y00028 Distributions of the BDT output used for the signal extraction in the $\oneLeptonTwoTau$ (\cmsTop \cmsLeft), $\fourLeptonZeroTau$ (\cmsTop \cmsRight), $\threeLeptonOneTau$ (\cmsBottom \cmsLeft), and $\twoLeptonTwoTau$ (\cmsBottom \cmsRight) channels. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264458$$s31293$$uhttps://cds.cern.ch/record/2743741/files/Figure_011-b.png$$y00029 Distributions of the BDT output used for the signal extraction in the $\oneLeptonTwoTau$ (\cmsTop \cmsLeft), $\fourLeptonZeroTau$ (\cmsTop \cmsRight), $\threeLeptonOneTau$ (\cmsBottom \cmsLeft), and $\twoLeptonTwoTau$ (\cmsBottom \cmsRight) channels. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264459$$s36913$$uhttps://cds.cern.ch/record/2743741/files/Figure_011-c.png$$y00030 Distributions of the BDT output used for the signal extraction in the $\oneLeptonTwoTau$ (\cmsTop \cmsLeft), $\fourLeptonZeroTau$ (\cmsTop \cmsRight), $\threeLeptonOneTau$ (\cmsBottom \cmsLeft), and $\twoLeptonTwoTau$ (\cmsBottom \cmsRight) channels. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264460$$s33049$$uhttps://cds.cern.ch/record/2743741/files/Figure_011-d.png$$y00031 Distributions of the BDT output used for the signal extraction in the $\oneLeptonTwoTau$ (\cmsTop \cmsLeft), $\fourLeptonZeroTau$ (\cmsTop \cmsRight), $\threeLeptonOneTau$ (\cmsBottom \cmsLeft), and $\twoLeptonTwoTau$ (\cmsBottom \cmsRight) channels. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264461$$s17592$$uhttps://cds.cern.ch/record/2743741/files/Figure_015-a.png$$y00037 Two-dimensional contours of the likelihood function $\mathcal{L}$, given by Eq.~(\ref{eq:likelihoodFunction}), as a function of the production rates of the $\ttH$ and $\tH$ signals ($\r_{\ttH}$ and $\r_{\tH}$) and of the $\ttZ$ and $\ttW$ backgrounds ($\r_{\ttZ}$ and $\r_{\ttW}$). The two production rates that are not shown on either the $x$ or the $y$ axis are profiled such that the function $\mathcal{L}$ attains its minimum at each point in the $x$-$y$ plane. 002743741 8564_ $$82264462$$s17042$$uhttps://cds.cern.ch/record/2743741/files/Figure_015-b.png$$y00038 Two-dimensional contours of the likelihood function $\mathcal{L}$, given by Eq.~(\ref{eq:likelihoodFunction}), as a function of the production rates of the $\ttH$ and $\tH$ signals ($\r_{\ttH}$ and $\r_{\tH}$) and of the $\ttZ$ and $\ttW$ backgrounds ($\r_{\ttZ}$ and $\r_{\ttW}$). The two production rates that are not shown on either the $x$ or the $y$ axis are profiled such that the function $\mathcal{L}$ attains its minimum at each point in the $x$-$y$ plane. 002743741 8564_ $$82264463$$s16812$$uhttps://cds.cern.ch/record/2743741/files/Figure_015-c.png$$y00039 Two-dimensional contours of the likelihood function $\mathcal{L}$, given by Eq.~(\ref{eq:likelihoodFunction}), as a function of the production rates of the $\ttH$ and $\tH$ signals ($\r_{\ttH}$ and $\r_{\tH}$) and of the $\ttZ$ and $\ttW$ backgrounds ($\r_{\ttZ}$ and $\r_{\ttW}$). The two production rates that are not shown on either the $x$ or the $y$ axis are profiled such that the function $\mathcal{L}$ attains its minimum at each point in the $x$-$y$ plane. 002743741 8564_ $$82264464$$s21776$$uhttps://cds.cern.ch/record/2743741/files/Figure_017-b.png$$y00044 Dependence of the likelihood function $\mathcal{L}$ in Eq.~(\ref{eq:likelihoodFunction}), as a function of $\kappat$, profiling over $\kappaV$ (\cmsLeft), and as a function of $\kappat$ and $\kappaV$ (\cmsRight). 002743741 8564_ $$82264465$$s29244$$uhttps://cds.cern.ch/record/2743741/files/Figure_013.png$$y00034 Distribution of the decimal logarithm of the ratio between the expected $\ttH+\tH$ signal and the expected sum of background contributions in each bin of the $105$ distributions that are included in the ML fit used for the signal extraction. The distributions expected for signal and background processes are computed for $\rhat_{\ttH} = 0.92$, $\rhat_{\tH} = 5.7$, and the values of nuisance parameters obtained from the ML fit. 002743741 8564_ $$82264466$$s20027$$uhttps://cds.cern.ch/record/2743741/files/Figure_016-b.png$$y00042 Probability for $\tH$ signal events produced by the $\tHq$ (\cmsLeft) and $\tHW$ (\cmsRight) production process to pass the event selection criteria for the $\twoLeptonssZeroTau$, $\threeLeptonZeroTau$, and $\twoLeptonssOneTau$ channels in each of the Higgs boson decay modes as a function of the ratio $\kappat/\kappaV$ of the Higgs boson couplings to the top quark and to the $\PW$ boson. 002743741 8564_ $$82264467$$s19278$$uhttps://cds.cern.ch/record/2743741/files/Figure_016-a.png$$y00041 Probability for $\tH$ signal events produced by the $\tHq$ (\cmsLeft) and $\tHW$ (\cmsRight) production process to pass the event selection criteria for the $\twoLeptonssZeroTau$, $\threeLeptonZeroTau$, and $\twoLeptonssOneTau$ channels in each of the Higgs boson decay modes as a function of the ratio $\kappat/\kappaV$ of the Higgs boson couplings to the top quark and to the $\PW$ boson. 002743741 8564_ $$82264468$$s52667$$uhttps://cds.cern.ch/record/2743741/files/Figure_009-d.png$$y00024 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\threeLeptonZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), and background (\cmsBottom \cmsLeft), and for events selected in the $\twoLeptonssOneTau$ channel (\cmsBottom \cmsRight). In case of the $\twoLeptonssOneTau$ channel, the activation value of the ANN output nodes for $\ttH$ signal, $\tH$ signal, and background are shown together in a single histogram, concatenating histogram bins as appropriate and enumerating the bins by a monotonously increasing number. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264469$$s14240$$uhttps://cds.cern.ch/record/2743741/files/Figure_004-b.png$$y00009 Transverse momentum (\cmsLeft) and pseudorapidity (\cmsMid) distributions of bottom quarks produced in top quark decays in $\ttH$ signal events compared to $\ttbar$+jets background events, and multiplicity of jets passing tight $\Pbottom$ jet identification criteria (\cmsRight). The latter distribution is shown separately for $\ttbar$+jets background events in which a nonprompt lepton is misidentified as a prompt lepton and for those background events in which all reconstructed leptons are prompt leptons. The events are selected in the $\twoLeptonssZeroTau$ channel. 002743741 8564_ $$82264470$$s13895$$uhttps://cds.cern.ch/record/2743741/files/Figure_004-c.png$$y00010 Transverse momentum (\cmsLeft) and pseudorapidity (\cmsMid) distributions of bottom quarks produced in top quark decays in $\ttH$ signal events compared to $\ttbar$+jets background events, and multiplicity of jets passing tight $\Pbottom$ jet identification criteria (\cmsRight). The latter distribution is shown separately for $\ttbar$+jets background events in which a nonprompt lepton is misidentified as a prompt lepton and for those background events in which all reconstructed leptons are prompt leptons. The events are selected in the $\twoLeptonssZeroTau$ channel. 002743741 8564_ $$82264471$$s17262$$uhttps://cds.cern.ch/record/2743741/files/Figure_004-a.png$$y00008 Transverse momentum (\cmsLeft) and pseudorapidity (\cmsMid) distributions of bottom quarks produced in top quark decays in $\ttH$ signal events compared to $\ttbar$+jets background events, and multiplicity of jets passing tight $\Pbottom$ jet identification criteria (\cmsRight). The latter distribution is shown separately for $\ttbar$+jets background events in which a nonprompt lepton is misidentified as a prompt lepton and for those background events in which all reconstructed leptons are prompt leptons. The events are selected in the $\twoLeptonssZeroTau$ channel. 002743741 8564_ $$82264472$$s44864$$uhttps://cds.cern.ch/record/2743741/files/Figure_005-b.png$$y00012 Distributions of $\mtfix$ for events containing an electron candidate of $25 < \pt < 35\GeV$ in the ECAL barrel, which (\cmsLeft) passes the nominal selection and (\cmsRight) passes the relaxed, but fails the nominal selection. The ``electroweak'' (EWK) background refers to the sum of $\PW$+jets, DY, and diboson production. The ``rare'' backgrounds are defined in the text. The data in the fail sample agrees with the sum of multijet, EWK, $\ttbar$+jets, and rare backgrounds by construction, as the number of multijet events in the fail sample is computed by subtracting the sum of EWK, $\ttbar$+jets, and rare background contributions from the data. The misidentification probabilities are derived separately for each era: this figure shows, as an example, the results obtained with the 2017 data set. The uncertainty band represents the total uncertainty after the fit has been performed. 002743741 8564_ $$82264473$$s45439$$uhttps://cds.cern.ch/record/2743741/files/Figure_005-a.png$$y00011 Distributions of $\mtfix$ for events containing an electron candidate of $25 < \pt < 35\GeV$ in the ECAL barrel, which (\cmsLeft) passes the nominal selection and (\cmsRight) passes the relaxed, but fails the nominal selection. The ``electroweak'' (EWK) background refers to the sum of $\PW$+jets, DY, and diboson production. The ``rare'' backgrounds are defined in the text. The data in the fail sample agrees with the sum of multijet, EWK, $\ttbar$+jets, and rare backgrounds by construction, as the number of multijet events in the fail sample is computed by subtracting the sum of EWK, $\ttbar$+jets, and rare background contributions from the data. The misidentification probabilities are derived separately for each era: this figure shows, as an example, the results obtained with the 2017 data set. The uncertainty band represents the total uncertainty after the fit has been performed. 002743741 8564_ $$82264474$$s45598$$uhttps://cds.cern.ch/record/2743741/files/Figure_007-a.png$$y00015 Distributions of $m_{\Pe\Pe}$ for (\cmsLeft) SS and (\cmsRight) OS electron pairs in $\Zee$ candidate events in which both electrons are in the ECAL barrel and have transverse momenta within the range $25 < \pt < 50\GeV$, for data recorded in 2018, compared to the expectation. Uncertainties shown are statistical only. A similar level of agreement is present in all the other momentum ranges and data-taking periods. 002743741 8564_ $$82264475$$s22150$$uhttps://cds.cern.ch/record/2743741/files/Figure_007-b.png$$y00016 Distributions of $m_{\Pe\Pe}$ for (\cmsLeft) SS and (\cmsRight) OS electron pairs in $\Zee$ candidate events in which both electrons are in the ECAL barrel and have transverse momenta within the range $25 < \pt < 50\GeV$, for data recorded in 2018, compared to the expectation. Uncertainties shown are statistical only. A similar level of agreement is present in all the other momentum ranges and data-taking periods. 002743741 8564_ $$82264476$$s28183$$uhttps://cds.cern.ch/record/2743741/files/Figure_017-a.png$$y00043 Dependence of the likelihood function $\mathcal{L}$ in Eq.~(\ref{eq:likelihoodFunction}), as a function of $\kappat$, profiling over $\kappaV$ (\cmsLeft), and as a function of $\kappat$ and $\kappaV$ (\cmsRight). 002743741 8564_ $$82264477$$s44192$$uhttps://cds.cern.ch/record/2743741/files/Figure_009-a.png$$y00021 Distributions of the activation value of the ANN output node with the highest activation value for events selected in the $\threeLeptonZeroTau$ channel and classified as $\ttH$ signal (\cmsTop \cmsLeft), $\tH$ signal (\cmsTop \cmsRight), and background (\cmsBottom \cmsLeft), and for events selected in the $\twoLeptonssOneTau$ channel (\cmsBottom \cmsRight). In case of the $\twoLeptonssOneTau$ channel, the activation value of the ANN output nodes for $\ttH$ signal, $\tH$ signal, and background are shown together in a single histogram, concatenating histogram bins as appropriate and enumerating the bins by a monotonously increasing number. The distributions expected for the $\ttH$ and $\tH$ signals and for background processes are shown for the values of the parameters of interest and of the nuisance parameters obtained from the ML fit. The best fit value of the $\ttH$ and $\tH$ production rates amounts to $\rhat_{\ttH} = 0.92$ and $\rhat_{\tH} = 5.7$ times the rates expected in the SM. 002743741 8564_ $$82264478$$s9721$$uhttps://cds.cern.ch/record/2743741/files/Figure_002-d.png$$y00005 Feynman diagrams at LO for $\tH$ production via the $t$-channel ($\tHq$ in \cmsTop \cmsLeft and \cmsTop \cmsRight) and $s$-channel (\cmsMid) processes, and for associated production of a Higgs boson with a single top quark and a $\PW$ boson ($\tHW$ in \cmsBottom \cmsLeft and \cmsBottom \cmsRight). The $\tHq$ and $\tHW$ production processes are shown for the five-flavor scheme. 002743741 8564_ $$82264479$$s41847$$uhttps://cds.cern.ch/record/2743741/files/Figure_006-a.png$$y00013 Transverse momentum distributions of nonprompt (\cmsLeft) electrons and (\cmsRight) muons in simulated $\ttbar$+jets events, for the three cases ``nominal'', ``relaxed, $f_{i}$ from $\ttbar$+jets'', and ``relaxed, $f_{i}$ from multijet'' discussed in text. The figure illustrates that a nonclosure correction needs to be applied to the probabilities $f_{i}$ measured for electrons in data, while no such correction is needed for muons. 002743741 8564_ $$82264480$$s40910$$uhttps://cds.cern.ch/record/2743741/files/Figure_006-b.png$$y00014 Transverse momentum distributions of nonprompt (\cmsLeft) electrons and (\cmsRight) muons in simulated $\ttbar$+jets events, for the three cases ``nominal'', ``relaxed, $f_{i}$ from $\ttbar$+jets'', and ``relaxed, $f_{i}$ from multijet'' discussed in text. The figure illustrates that a nonclosure correction needs to be applied to the probabilities $f_{i}$ measured for electrons in data, while no such correction is needed for muons. 002743741 8564_ $$82264481$$s7429$$uhttps://cds.cern.ch/record/2743741/files/Figure_002-a.png$$y00002 Feynman diagrams at LO for $\tH$ production via the $t$-channel ($\tHq$ in \cmsTop \cmsLeft and \cmsTop \cmsRight) and $s$-channel (\cmsMid) processes, and for associated production of a Higgs boson with a single top quark and a $\PW$ boson ($\tHW$ in \cmsBottom \cmsLeft and \cmsBottom \cmsRight). The $\tHq$ and $\tHW$ production processes are shown for the five-flavor scheme. 002743741 8564_ $$82264482$$s6663$$uhttps://cds.cern.ch/record/2743741/files/Figure_002-b.png$$y00003 Feynman diagrams at LO for $\tH$ production via the $t$-channel ($\tHq$ in \cmsTop \cmsLeft and \cmsTop \cmsRight) and $s$-channel (\cmsMid) processes, and for associated production of a Higgs boson with a single top quark and a $\PW$ boson ($\tHW$ in \cmsBottom \cmsLeft and \cmsBottom \cmsRight). The $\tHq$ and $\tHW$ production processes are shown for the five-flavor scheme. 002743741 8564_ $$82264483$$s7567$$uhttps://cds.cern.ch/record/2743741/files/Figure_002-c.png$$y00004 Feynman diagrams at LO for $\tH$ production via the $t$-channel ($\tHq$ in \cmsTop \cmsLeft and \cmsTop \cmsRight) and $s$-channel (\cmsMid) processes, and for associated production of a Higgs boson with a single top quark and a $\PW$ boson ($\tHW$ in \cmsBottom \cmsLeft and \cmsBottom \cmsRight). The $\tHq$ and $\tHW$ production processes are shown for the five-flavor scheme. 002743741 8564_ $$82264484$$s41555$$uhttps://cds.cern.ch/record/2743741/files/Figure_003.png$$y00007 Diagram showing the categorization strategy used for the signal extraction, making use of MVA-based algorithms and topological variables. In addition to the ten channels, the ML fit receives input from two control regions (CRs) defined in Section~\ref{sec:backgroundEstimation_control_regions}. 002743741 8564_ $$82264485$$s15552$$uhttps://cds.cern.ch/record/2743741/files/Figure_001-b.png$$y00001 Feynman diagrams at LO for $\ttH$ production. 002743741 8564_ $$82264486$$s11360$$uhttps://cds.cern.ch/record/2743741/files/Figure_001-a.png$$y00000 Feynman diagrams at LO for $\ttH$ production. 002743741 8564_ $$82292239$$s3658657$$uhttps://cds.cern.ch/record/2743741/files/Sirunyan2021_Article_MeasurementOfTheHiggsBosonProd.pdf$$yFulltext from publisher 002743741 8564_ $$82292239$$s13595$$uhttps://cds.cern.ch/record/2743741/files/Sirunyan2021_Article_MeasurementOfTheHiggsBosonProd.gif?subformat=icon$$xicon$$yFulltext from publisher 002743741 8564_ $$82292239$$s258060$$uhttps://cds.cern.ch/record/2743741/files/Sirunyan2021_Article_MeasurementOfTheHiggsBosonProd.jpg?subformat=icon-700$$xicon-700$$yFulltext from publisher 002743741 8564_ $$82292239$$s73658$$uhttps://cds.cern.ch/record/2743741/files/Sirunyan2021_Article_MeasurementOfTheHiggsBosonProd.jpg?subformat=icon-180$$xicon-180$$yFulltext from publisher 002743741 8564_ $$82294519$$s3658657$$uhttps://cds.cern.ch/record/2743741/files/10.1140_epjc_s10052-021-09014-x.pdf$$yFulltext from Publisher 002743741 916__ $$sn$$w202044 002743741 925__ $$b08 Nov 2020 002743741 960__ $$a13 002743741 980__ $$aCMS_Papers 002743741 980__ $$aARTICLE