CMS-HIG-23-010 ; CERN-EP-2025-010 | ||
Search for the associated production of a Higgs boson with a charm quark in the diphoton decay channel in pp collisions at √s= 13 TeV | ||
CMS Collaboration | ||
11 March 2025 | ||
Submitted to J. High Energy Phys. | ||
Abstract: This paper presents the first search for the associated production of a Higgs boson with a charm quark (cH), with the Higgs boson decaying to two photons. Associated cH production provides an opportunity to probe the coupling of the Higgs boson to charm quarks. The results are based on a data set of proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS experiment at the LHC, corresponding to an integrated luminosity of 138 fb−1. Assuming the standard model (SM) rates for all other Higgs boson production processes, the observed (expected) upper limit at 95% confidence level on the cH signal strength is 243 (355) times the SM prediction. Under the same assumption, the observed (expected) allowed interval on the Higgs boson to charm quark coupling modifier, κc, is |κc|< 38.1 (|κc|< 72.5) at 95% confidence level. | ||
Links: e-print arXiv:2503.08797 [hep-ex] (PDF) ; CDS record ; inSPIRE record ; CADI line (restricted) ; |
Figures | |
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Figure 1:
Leading order Feynman diagrams that contribute to the pp→cH process. Red dots correspond to vertices where the charm Yukawa coupling modifier κc enters. |
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Figure 1-a:
Leading order Feynman diagrams that contribute to the pp→cH process. Red dots correspond to vertices where the charm Yukawa coupling modifier κc enters. |
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Figure 1-b:
Leading order Feynman diagrams that contribute to the pp→cH process. Red dots correspond to vertices where the charm Yukawa coupling modifier κc enters. |
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Figure 2:
Distributions of the CvsL score for the leading jet in simulated cH signal and resonant background events and sideband data events. Error bars representing the statistical uncertainties in the data are too small to be displayed. Events with CvsL score values below the dashed vertical line are not included in the signal region. |
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Figure 3:
Distributions of BDT1 (left) and BDT2 outputs (right) for simulated cH signal and resonant background events, as well as sideband data (representing the continuous background) events. The BDT1 score discriminates the cH signal from the resonant background. The BDT2 score discriminates the cH signal from the continuous background. The plots are indicative of the shapes of the distributions and should not be interpreted as a comparison of their magnitudes. The error bars correspond to the statistical uncertainties. |
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Figure 3-a:
Distributions of BDT1 (left) and BDT2 outputs (right) for simulated cH signal and resonant background events, as well as sideband data (representing the continuous background) events. The BDT1 score discriminates the cH signal from the resonant background. The BDT2 score discriminates the cH signal from the continuous background. The plots are indicative of the shapes of the distributions and should not be interpreted as a comparison of their magnitudes. The error bars correspond to the statistical uncertainties. |
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Figure 3-b:
Distributions of BDT1 (left) and BDT2 outputs (right) for simulated cH signal and resonant background events, as well as sideband data (representing the continuous background) events. The BDT1 score discriminates the cH signal from the resonant background. The BDT2 score discriminates the cH signal from the continuous background. The plots are indicative of the shapes of the distributions and should not be interpreted as a comparison of their magnitudes. The error bars correspond to the statistical uncertainties. |
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Figure 4:
The shape of the parametric signal model for an analysis category targeting cH signal (left) and for the sum of all analysis categories (right). The open squares represent simulated events and the blue line represents the corresponding model. Also shown is the σeff value (half the width of the narrowest interval containing 68.3% of the diphoton mass distribution) in the grey shaded area. |
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Figure 4-a:
The shape of the parametric signal model for an analysis category targeting cH signal (left) and for the sum of all analysis categories (right). The open squares represent simulated events and the blue line represents the corresponding model. Also shown is the σeff value (half the width of the narrowest interval containing 68.3% of the diphoton mass distribution) in the grey shaded area. |
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Figure 4-b:
The shape of the parametric signal model for an analysis category targeting cH signal (left) and for the sum of all analysis categories (right). The open squares represent simulated events and the blue line represents the corresponding model. Also shown is the σeff value (half the width of the narrowest interval containing 68.3% of the diphoton mass distribution) in the grey shaded area. |
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Figure 5:
Invariant mass distribution of the selected events in all categories scaled by S/(S+B), where S (B) is the number of expected signal (background) events in the smallest mass window containing 68.3% of the expected signal events. Curves for the signal + background fit (red), separately showing the resonant (black) and continuous (blue) backgrounds, as well as bands representing the 68.3% and 95.5% CL intervals in the background estimation, are overlaid. The middle (lower) panel shows the mγγ distribution after subtracting only the continuous background (subtracting all background components) and overlaying the curve for the fitted signal (purple). |
Tables | |
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Table 1:
Number of expected signal cH (H→γγ), resonant background and continuous background events, as well as the resulting signal-over-background ratio (S/B) in the diphoton mass window [122.88, 127.88] GeV for all categories. For each category, the event yields for the three years are summed. The fraction of different production processes contributing to the resonant background (ggH, t¯tH, VBF, VH, and bH) is also reported. |
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Table 2:
Impacts of several uncertainty groups divided by the total uncertainty in the signal strength measurement. |
Summary |
We have presented the first search for associated production of a charm quark (c) and a Higgs boson (H). Assuming the signal strengths of non-cH Higgs production processes in the diphoton decay channel to be as predicted by the standard model (SM), the observed and expected upper limits at 95% confidence level on the cH signal strength are 243 and 355 times the SM predictions, respectively. This search also provides sensitivity to the Yukawa coupling between the Higgs boson and the charm quark. Under the same assumption, the observed (expected) allowed interval on the Higgs boson to charm quark coupling modifier κc is |κc|< 38.1 (|κc|< 72.5) at 95% confidence level. The analysis is presently limited by statistical uncertainties. Improvements can be achieved by incorporating complementary decay channels and, as larger datasets become available, implementing more refined selection criteria and categorization strategies. |
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