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| CMS-PAS-HIG-21-008 | ||
| Direct search for the standard model Higgs boson decaying to a charm quark-antiquark pair | ||
| CMS Collaboration | ||
| March 2022 | ||
| Abstract: A search for $\mathrm{H}\to \mathrm{c}\bar{\mathrm{c}}$ in associated VH production with leptonically decaying V (W or Z) boson is performed with 138 fb$^{-1}$ of proton-proton collisions at $\sqrt{s}=$ 13 TeV in the CMS experiment. Novel charm jet identification and analysis techniques are used. A search for Z $\to \mathrm{c}\bar{\mathrm{c}}$ in VZ events is used to validate the strategy and yields a first observation at a hadron collider with a significance of 5.7 standard deviations. The analysis yields $\sigma(\mathrm{VH})\mathcal{B}(\mathrm{H}\to \mathrm{c}\bar{\mathrm{c}}) < $ 0.94 pb at 95% CL. For $\kappa_{\mathrm{c}}$, the Higgs-charm Yukawa coupling modifier, the observed 95% CL interval (expected upper limit) is 1.1 $ < |\kappa_{\mathrm{c}}| < $ 5.5 ($|\kappa_{\mathrm{c}}| < $ 3.4) -- the most stringent to date. | ||
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Links:
CDS record (PDF) ;
Physics Briefing ;
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These preliminary results are superseded in this paper, PRL 131 (2023) 061801. |
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| Figures & Tables | Summary | Additional Figures & Tables | References | CMS Publications |
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| Figures | |
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Figure 1:
Performance of ParticleNet (red lines) for identifying a $ {{\mathrm {c}} {\overline {\mathrm {c}}}} $ pair for large-$R$ jets with $ {p_{\mathrm {T}}} > 300$ GeV. The solid (dashed) line shows the efficiency to correctly identify ${{\mathrm {H}} \to {{\mathrm {c}} {\overline {\mathrm {c}}}}}$ vs. the efficiency of misidentifying quarks or gluons from the V+jets process (vs. ${{\mathrm {H}} \to {{\mathrm {b}} {\overline {\mathrm {b}}}}}$). The gray crosses represent the three working points used in the merged-jet analysis. The performance of DeepAK15 (blue lines) used in [30] is shown for comparison. |
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Figure 2:
Distribution of events as a function of $S/B$ in the VZ (Z $\to \mathrm{c\bar{c}} $) (left) and VH (H $\to \mathrm{c\bar{c}} $) (right) searches, where $S$ and $B$ are the postfit signal and background yields, respectively, in each bin of the fitted ${m({{\mathrm {H}} _{\text {cand}}} )}$ or BDT discriminant distributions. The bottom panel shows the ratio of data to the total background, with the uncertainty in background indicated by gray hatching. The red line represents background plus SM signal divided by background. |
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Figure 2-a:
Distribution of events as a function of $S/B$ in the VZ (Z $\to \mathrm{c\bar{c}} $) search, where $S$ and $B$ are the postfit signal and background yields, respectively, in each bin of the fitted ${m({{\mathrm {Z}} _{\text {cand}}} )}$ or BDT discriminant distributions. The bottom panel shows the ratio of data to the total background, with the uncertainty in background indicated by gray hatching. The red line represents background plus SM signal divided by background. |
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Figure 2-b:
Distribution of events as a function of $S/B$ in the VH (H $\to \mathrm{c\bar{c}} $) search, where $S$ and $B$ are the postfit signal and background yields, respectively, in each bin of the fitted ${m({{\mathrm {H}} _{\text {cand}}} )}$ or BDT discriminant distributions. The bottom panel shows the ratio of data to the total background, with the uncertainty in background indicated by gray hatching. The red line represents background plus SM signal divided by background. |
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Figure 3:
Combined ${m({{\mathrm {H}} _{\text {cand}}} )}$ distribution in all channels of the merged-jet analysis. The fitted ${m({{\mathrm {H}} _{\text {cand}}} )}$ distribution in each signal region is weighted by $S/(S+B)$, where $S$ and $B$ are the postfit VH (H $\to \mathrm{c\bar{c}} $) signal and total background yields. The lower panel shows data (points) and the fitted VH (H $\to \mathrm{c\bar{c}} $) (red) and VZ (Z $\to \mathrm{c\bar{c}} $) background (grey) distributions after subtracting all other processes. Error bars represent pre-subtraction statistical uncertainties on data, while the gray hatching indicates the total uncertainty on the signal and all background processes. |
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Figure 4:
The 95% CL upper limits on ${\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}}$. Green and yellow bands indicate the expected 68% and 95% CL regions, respectively, under the background-only hypothesis. The vertical red line indicates the SM value $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 1. |
| Tables | |
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Table 1:
The relative contributions to the total uncertainty on the signal strength modifier $\mu $ for the VH (H $\to \mathrm{c\bar{c}} $) process. |
| Summary |
| In summary, a direct search for the SM Higgs boson decaying to a pair of charm quarks in the CMS experiment is presented. Novel jet reconstruction and identification tools and analysis techniques are developed for this analysis, which is validated by measuring the VZ (Z $\to \mathrm{c\bar{c}} $) process. The observed Z boson signal relative to the SM prediction is $\mu_{\mathrm{ VZ ( Z \to c\bar{c} ) }} = $ 1.01$_{-0.21}^{+0.23}$, with an observed (expected) significance of 5.7 (5.9) standard deviations. This is the first observation of VZ (Z $\to \mathrm{c\bar{c}} $) at a hadronic collider. The observed (expected) upper limit on $ \sigma({\mathrm{VH}})\mathcal{B}(\mathrm{H\to c\bar{c}})$ is 0.94 (0.50$^{+0.22}_{-0.15}$) pb, corresponding to 14 (7.6$^{+3.4}_{-2.3}$) times the theoretical prediction for an SM Higgs boson mass of 125.38 GeV. The observed 95% CL interval on the modifier, $\kappa_{\mathrm{c}}$, for the Yukawa coupling of the Higgs boson to the charm quark is 1.1 $ < |\kappa_{\mathrm{c}}| < $ 5.5, and the expected upper limit is $|\kappa_{\mathrm{c}}| < $ 3.4. This is the most stringent limit on $\kappa_{\mathrm{c}}$ to date. |
| Additional Figures | |
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Additional Figure 1:
Scan of the test statistic $q$ as a function of $| {\kappa _{{\mathrm {c}}}} |$. Only the branching fraction $\mathcal{ \mathrm{ H \to c\bar{c}} }$ is altered as ${\kappa _{{\mathrm {c}}}}$ varies, as described in the text. The expected SM result is also shown. The dashed horizontal line corresponds to the 95% confidence level. |
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Additional Figure 2:
Best fit value of the VZ (Z $\mathrm{ \to c\bar{c} }$) signal strength modifier ${\mu _{{{\mathrm {VZ}} ({\mathrm {Z}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}}$ with its 1 and 2 standard deviation confidence intervals. The dashed vertical line indicates the SM value $ {\mu _{{{\mathrm {VZ}} ({\mathrm {Z}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 1. |
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Additional Figure 3:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-BDT and high $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity signal region of the merged-jet topology in the 2L($ {\mu} {\mu} $) channel. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 4:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-BDT and high $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity signal region of the merged-jet topology in the 2L(ee) channel. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 5:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-BDT and high $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity signal region of the merged-jet topology in the 1L(${\mu}$) channel. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 6:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-BDT and high $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity signal region of the merged-jet topology in the 1L(e) channel. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 7:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-BDT and high $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity signal region of the merged-jet topology in the 0L channel. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 8:
Post-fit distribution of the BDT discriminant in the low-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ signal region of the resolved-jet topology in the 2L($ {\mu} {\mu} $) channel in 2016 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 9:
Post-fit distribution of the BDT discriminant in the low-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ signal region of the resolved-jet topology in the 2L(ee) channel in 2016 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 10:
Post-fit distribution of the BDT discriminant in the high-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ signal region of the resolved-jet topology in the 2L($ {\mu} {\mu} $) channel in 2017 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 11:
Post-fit distribution of the BDT discriminant in the high-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ signal region of the resolved-jet topology in the 2L(ee) channel in 2017 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 12:
Post-fit distribution of the BDT discriminant in the signal region of the resolved-jet topology in the 1L(${\mu}$) channel in 2018 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 13:
Post-fit distribution of the BDT discriminant in the signal region of the resolved-jet topology in the 1L(e) channel in 2018 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 14:
Post-fit distribution of the BDT discriminant in the signal region of the resolved-jet topology in the 0L channel in 2017 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 15:
Distribution of events as a function of $S/B$ in the resolved-jet topology of the VH (H $\mathrm{ \to c\bar{c} }$) search, where $S$ and $B$ are the postfit signal and background yields, respectively, in each bin of the fitted BDT discriminant distributions. The bottom panel shows the ratio of data to the total background, with the uncertainty in background indicated by gray hatching. The red line represents background plus SM signal divided by background. |
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Additional Figure 16:
Distribution of events as a function of $S/B$ in the resolved-jet topology of the VZ (Z $\mathrm{ \to c\bar{c} }$) search, where $S$ and $B$ are the postfit signal and background yields, respectively, in each bin of the fitted BDT discriminant distributions. The bottom panel shows the ratio of data to the total background, with the uncertainty in background indicated by gray hatching. The red line represents background plus SM signal divided by background. |
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Additional Figure 17:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the low-BDT and low $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 2L($ {\mu} {\mu} $) channel in 2017 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 18:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the low-BDT and low $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 2L(ee) channel in 2017 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 19:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the low-BDT and low $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 1L($ {\mu} $) channel in 2017 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 20:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the low-BDT and high $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 1L(e) channel in 2018 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 21:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-$ {N^{\mathrm {aj}}_{\text {small-}R}}$ and high $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 1L($ {\mu} $) channel in 2018 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 22:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-$ {N^{\mathrm {aj}}_{\text {small-}R}}$ and low $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 1L(e) channel in 2017 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 23:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the low-BDT and medium $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 0L channel in 2016 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 24:
Post-fit distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ in the high-$ {N^{\mathrm {aj}}_{\text {small-}R}}$ and medium $ {{\mathrm {c}} {\overline {\mathrm {c}}}}$-purity control region of the merged-jet topology in the 0L channel in 2016 data. The VH (H $\mathrm{ \to c\bar{c} }$) signal yield is scaled by the best fit signal strength, $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} =$ 7.7, in the filled red histogram, and the red line represents the expected signal contribution multiplied by a factor of 20. |
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Additional Figure 25:
Post-fit distribution of the $CvsL_{\text {min}}$ discriminant in the low-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ Z+LF control region of the resolved-jet topology in the 2L(ee) channel in 2018 data. |
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Additional Figure 26:
Post-fit distribution of the $CvsB_{\text {min}}$ discriminant in the low-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ Z+HF control region of the resolved-jet topology in the 2L(ee) channel in 2018 data. |
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Additional Figure 27:
Post-fit distribution of the $CvsB_{\text {min}}$ discriminant in the low-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ TT control region of the resolved-jet topology in the 2L(ee) channel in 2018 data. |
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Additional Figure 28:
Post-fit distribution of the $CvsB_{\text {min}}$ discriminant in the low-$ {{p_{\mathrm {T}}} (\mathrm{V})}$ Z+CC control region of the resolved-jet topology in the 2L(ee) channel in 2018 data. |
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Additional Figure 29:
Post-fit distribution of the $CvsB_{\text {min}}$ discriminant in the W+CC control region of the resolved-jet topology in the 1L($ {\mu} $) channel in 2018 data. |
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Additional Figure 30:
Post-fit distribution of the $CvsB_{\text {min}}$ discriminant in the Z+HF control region of the resolved-jet topology in the 0L channel in 2018 data. |
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Additional Figure 31:
Post-fit distribution of the $CvsB_{\text {min}}$ discriminant in the Z+CC control region of the resolved-jet topology in the 0L channel in 2018 data. |
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Additional Figure 32:
Distribution of the kinematic BDT in the 2L channel of the merged-jet analysis. The VH (H $\mathrm{ \to c\bar{c} }$) signal is normalized to the sum of all backgrounds. The VH (H $\mathrm{ \to b\bar{b} }$) contribution, similarly normalized, is also shown. |
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Additional Figure 33:
Distribution of the kinematic BDT in the 1L channel of the merged-jet analysis. The VH (H $\mathrm{ \to c\bar{c} }$) signal is normalized to the sum of all backgrounds. The VH (H $\mathrm{ \to b\bar{b} }$) contribution, similarly normalized, is also shown. |
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Additional Figure 34:
Distribution of the kinematic BDT in the 0L channel of the merged-jet analysis. The VH (H $\mathrm{ \to c\bar{c} }$) signal is normalized to the sum of all backgrounds. The VH (H $\mathrm{ \to b\bar{b} }$) contribution, similarly normalized, is also shown. |
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Additional Figure 35:
Distribution of the ParticleNet cc-tagging discriminant for events with BDT scores greater than 0.55 in the 2L channel of the merged-jet analysis. The VH (H $\mathrm{ \to c\bar{c} }$) signal is normalized to the sum of all backgrounds. The VH (H $\mathrm{ \to b\bar{b} }$) contribution, similarly normalized, is also shown. |
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Additional Figure 36:
Distribution of the ParticleNet cc-tagging discriminant for events with BDT scores greater than 0.7 in the 1L channel of the merged-jet analysis. The VH (H $\mathrm{ \to c\bar{c} }$) signal is normalized to the sum of all backgrounds. The VH (H $\mathrm{ \to b\bar{b} }$) contribution, similarly normalized, is also shown. |
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Additional Figure 37:
Distribution of the ParticleNet cc-tagging discriminant for events with BDT scores greater than 0.55 in the 0L channel of the merged-jet analysis. The VH (H $\mathrm{ \to c\bar{c} }$) signal is normalized to the sum of all backgrounds. The VH (H $\mathrm{ \to b\bar{b} }$) contribution, similarly normalized, is also shown. |
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Additional Figure 38:
Performance of the DeepJet-based c-tagging algorithm for small-$R$ jets, with (red) and without (blue) the application of the data-to-simulation scale factors (SFs). Each curve is an iso-efficiency curve representing a specific c-jet efficiency. The horizontal (vertical) axis represents the mis-identification rate of b jets (light quark or gluon jets). The result is obtained with a 2016 ${{\mathrm {t}\overline {\mathrm {t}}}}$ simulated sample, requiring a threshold of 20 GeV on the jet transverse momentum. The black cross represents the working point applied to the leading jet in the analysis, requiring $CvsL > $ 0.225 and $CvsB > $ 0.4. |
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Additional Figure 39:
Performance of the DeepJet-based c-tagging algorithm for small-$R$ jets, with (red) and without (blue) the application of the data-to-simulation scale factors (SFs). Each curve is an iso-efficiency curve representing a specific c-jet efficiency. The horizontal (vertical) axis represents the mis-identification rate of b jets (light quark or gluon jets). The result is obtained with a 2017 ${{\mathrm {t}\overline {\mathrm {t}}}}$ simulated sample, requiring a threshold of 20 GeV on the jet transverse momentum. The black cross represents the working point applied to the leading jet in the analysis, requiring $CvsL > $ 0.225 and $CvsB > $ 0.4. |
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Additional Figure 40:
Performance of the DeepJet-based c-tagging algorithm for small-$R$ jets, with (red) and without (blue) the application of the data-to-simulation scale factors (SFs). Each curve is an iso-efficiency curve representing a specific c-jet efficiency. The horizontal (vertical) axis represents the mis-identification rate of b jets (light quark or gluon jets). The result is obtained with a 2018 ${{\mathrm {t}\overline {\mathrm {t}}}}$ simulated sample, requiring a threshold of 20 GeV on the jet transverse momentum. The black cross represents the working point applied to the leading jet in the analysis, requiring $CvsL > $ 0.225 and $CvsB > $ 0.4. |
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Additional Figure 41:
Distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ for simulated VH (H $\mathrm{ \to c\bar{c} }$) signal events with 60 $ < {{p_{\mathrm {T}}} (\mathrm{V})} < $ 150 GeV in the 2L channel in 2016. The red histogram corresponds to the distribution without applying the c-jet energy regression nor the kinematic fit, the green histogram corresponds to the distribution after the application of the c-jet energy regression, and the blue histogram represents the distribution after the application of both the c-jet energy regression and the kinematic fit. The dashed lines represent the fitted shapes using double crystal-ball functions. |
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Additional Figure 42:
Distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ for simulated VH (H $\mathrm{ \to c\bar{c} }$) signal events with $ {{p_{\mathrm {T}}} (\mathrm{V})} > $ 150 GeV in the 2L channel in 2016. The red histogram corresponds to the distribution without applying the c-jet energy regression nor the kinematic fit, the green histogram corresponds to the distribution after the application of the c-jet energy regression, and the blue histogram represents the distribution after the application of both the c-jet energy regression and the kinematic fit. The dashed lines represent the fitted shapes using double crystal-ball functions. |
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Additional Figure 43:
Distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ for simulated VH (H $\mathrm{ \to c\bar{c} }$) signal events with 60 $ < {{p_{\mathrm {T}}} (\mathrm{V})} < $ 150 GeV in the 2L channel in 2017. The red histogram corresponds to the distribution without applying the c-jet energy regression nor the kinematic fit, the green histogram corresponds to the distribution after the application of the c-jet energy regression, and the blue histogram represents the distribution after the application of both the c-jet energy regression and the kinematic fit. The dashed lines represent the fitted shapes using double crystal-ball functions. |
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Additional Figure 44:
Distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ for simulated VH (H $\mathrm{ \to c\bar{c} }$) signal events with $ {{p_{\mathrm {T}}} (\mathrm{V})} > $ 150 GeV in the 2L channel in 2017. The red histogram corresponds to the distribution without applying the c-jet energy regression nor the kinematic fit, the green histogram corresponds to the distribution after the application of the c-jet energy regression, and the blue histogram represents the distribution after the application of both the c-jet energy regression and the kinematic fit. The dashed lines represent the fitted shapes using double crystal-ball functions. |
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Additional Figure 45:
Distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ for simulated VH (H $\mathrm{ \to c\bar{c} }$) signal events with 60 $ < {{p_{\mathrm {T}}} (\mathrm{V})} < $ 150 GeV in the 2L channel in 2018. The red histogram corresponds to the distribution without applying the c-jet energy regression nor the kinematic fit, the green histogram corresponds to the distribution after the application of the c-jet energy regression, and the blue histogram represents the distribution after the application of both the c-jet energy regression and the kinematic fit. The dashed lines represent the fitted shapes using double crystal-ball functions. |
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Additional Figure 46:
Distribution of ${m ({{\mathrm {H}} _{\text {cand}}} )}$ for simulated VH (H $\mathrm{ \to c\bar{c} }$) signal events with $ {{p_{\mathrm {T}}} (\mathrm{V})} > $ 150 GeV in the 2L channel in 2018. The red histogram corresponds to the distribution without applying the c-jet energy regression nor the kinematic fit, the green histogram corresponds to the distribution after the application of the c-jet energy regression, and the blue histogram represents the distribution after the application of both the c-jet energy regression and the kinematic fit. The dashed lines represent the fitted shapes using double crystal-ball functions. |
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Additional Figure 47:
Distribution of the reconstructed di-jet invariant mass in the TT control region of the 1L(e) channel in 2017 data after the application of the c-jet energy regression. |
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Additional Figure 48:
Distribution of the reconstructed di-jet invariant mass in the W+LF control region of the 1L(e) channel in 2017 data after the application of the c-jet energy regression. |
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Additional Figure 49:
Extrapolation of the sensitivity to H $\mathrm{ \to b\bar{b} }$ and H $\mathrm{ \to c\bar{c} }$ decays at the HL-LHC, shown as the profile likelihood scan as a function of the signal strengths $\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}$ and $\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {b}} {\overline {\mathrm {b}}})}}$. The solid symbol shows the SM expected point. The solid and dashed lines show the expected one and two standard deviation contours. The projection is based on the merged-jet topology with the following modifications: the large-$R$ jet ${p_{\mathrm {T}}}$ threshold is lowered to 200 GeV, and 3 categories enriched in H $\mathrm{ \to b\bar{b} }$ decays, defined with the ParticleNet $ {{\mathrm {b}} {\overline {\mathrm {b}}}} $ discriminant, are added to allow for a simultaneous measurement of the VH (H $\mathrm{ \to b\bar{b} }$) and VH (H $\mathrm{ \to c\bar{c} }$) processes. Signal and background yields are scaled to an integrated luminosity of 3000 fb$^{-1}$ and higher production cross sections at $\sqrt {s} = $ 14 TeV. The systematic uncertainties are adjusted according to the YR18 prescription [95]. Specifically, the theoretical uncertainties are reduced to half of the Run 2 values, and most of the experimental uncertainties are scaled down with the square root of the integrated luminosity. The uncertainties on the $ {{\mathrm {b}} {\overline {\mathrm {b}}}} $ and $ {{\mathrm {c}} {\overline {\mathrm {c}}}} $ tagging efficiencies are constrained by the VZ (Z $\to \mathrm{ b\bar{b} }$) and VZ (Z $\mathrm{ \to c\bar{c} }$) events to approximately 3% and 5%, respectively. The uncertainty on the misidentification of H $\mathrm{ \to b\bar{b} }$ as H $\mathrm{ \to c\bar{c} }$ is assumed to be 20%. |
png pdf |
Additional Figure 50:
Extrapolation of the sensitivity to H $\mathrm{ \to b\bar{b} }$ and H $\mathrm{ \to c\bar{c} }$ decays at the HL-LHC, shown as the profile likelihood scan as a function of the coupling modifiers ${\kappa _{{\mathrm {b}}}}$ and ${\kappa _{{\mathrm {c}}}}$. The solid symbol shows the SM expected point. The solid and dashed lines show the expected one and two standard deviation contours. The projection is based on the merged-jet topology with the following modifications: the large-$R$ jet ${p_{\mathrm {T}}}$ threshold is lowered to 200 GeV, and 3 categories enriched in H $\mathrm{ \to b\bar{b} }$ decays, defined with the ParticleNet $ {{\mathrm {b}} {\overline {\mathrm {b}}}} $ discriminant, are added to allow for a simultaneous measurement of the VH (H $\mathrm{ \to b\bar{b} }$) and VH (H $\mathrm{ \to c\bar{c} }$) processes. Signal and background yields are scaled to an integrated luminosity of 3000 fb$^{-1}$ and higher production cross sections at $\sqrt {s} = $ 14 TeV. The systematic uncertainties are adjusted according to the YR18 prescription [95]. Specifically, the theoretical uncertainties are reduced to half of the Run 2 values, and most of the experimental uncertainties are scaled down with the square root of the integrated luminosity. The uncertainties on the $ {{\mathrm {b}} {\overline {\mathrm {b}}}} $ and $ {{\mathrm {c}} {\overline {\mathrm {c}}}} $ tagging efficiencies are constrained by the VZ (Z $\to \mathrm{ b\bar{b} }$) and VZ (Z $\mathrm{ \to c\bar{c} }$) events to approximately 3% and 5%, respectively. The uncertainty on the misidentification of H $\mathrm{ \to b\bar{b} }$ as H $\mathrm{ \to c\bar{c} }$ is assumed to be 20%. |
| Additional Tables | |
png pdf |
Additional Table 1:
Event selection criteria for the signal region in the merged-jet analysis. Entries marked with "--' indicate that the variable is not used in the given channel. The values listed for kinematic variables are in units of GeV, and for angles in units of radians. Where selection differs between lepton flavors, the selection is listed as (muon, electron). |
png pdf |
Additional Table 2:
Event selection criteria for the signal region in the resolved-jet analysis. Entries marked with "--' indicate that the variable is not used in the given channel. The values listed for kinematic variables are in units of GeV, and for angles in units of radians. Where selection differs between lepton flavors, the selection is listed as (muon, electron). |
png pdf |
Additional Table 3:
The relative contributions to the total uncertainty on ${\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}}$ in the merged-jet analysis, with a best fit value $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} = $ 8.7$^{+4.6}_{-4.0}$. |
png pdf |
Additional Table 4:
The relative contributions to the total uncertainty on ${\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}}$ in the resolved-jet analysis, with a best fit value $ {\mu _{{{\mathrm {VH}} ({\mathrm {H}} \to {\mathrm {c}} {\overline {\mathrm {c}}})}}} = $ $-$9.5 $\pm$ 9.6. |
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