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| CMS-PAS-SUS-23-015 | ||
| Search for hadronic R-parity violating decays of electroweak superpartners using jet scaling patterns in multilepton events at $ \sqrt{s}= $ 13 TeV | ||
| CMS Collaboration | ||
| 29 March 2024 | ||
| Abstract: The first search for pair production of electroweak chargino-neutralino superpartners with cascade decay emission of leptonically decaying W and Z bosons, along with prompt decay of the lightest neutralino superpartner to three strongly interacting particles through hadronic R-parity violating interactions is presented. The search employs a comparison of jet multiplicity distributions in one, two, and four lepton events to calibrate and probe for supersymmetric production of events with three leptons in association with multiple jets in a data sample of 138 fb$^{-1}$ of 13 TeV proton-proton collisions recorded by the CMS detector at the LHC. Constraints at 95% confidence level are placed on the wino-like chargino-neutralino and bino-like lightest neutralino superpartners with masses in the range of 125-600 GeV and 25-500 GeV, respectively. Such scenarios are excluded for bino-like lightest neutralino masses up to 275 GeV assuming decays to three light quarks, and up to 180 GeV where decays include a bottom quark. | ||
| Links: CDS record (PDF) ; CADI line (restricted) ; | ||
| Figures | |
png pdf |
Figure 1:
Example diagram of a three-lepton signature with six jets, resulting from the electroweak production and decay of a chargino-neutralino pair and the subsequent hadronic RPV decay of the LSP. |
png pdf |
Figure 2:
Jet multiplicity distributions in a Z-enriched selection of OnZ two-lepton events (left), and WZ-enriched selection of OnZ three-lepton events (center) prior to corrections. The lower panels show the ratio of observed events (Data) to the total background prediction (Bckg.), with the gray bands representing the statistical uncertainties in prediction. SM background predictions appear to fall short of the observations in both cases for higher jet multiplicities. This discrepancy has been corrected in the three-lepton distribution (right) using an appropriate subset of the two-lepton Z+jets data. The example RPVq signal ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) overlaid in the uncorrected distribution (center) can not be accommodated after corrections (right). Same signal is overlaid (not stacked) on the left figure. |
png pdf |
Figure 2-a:
Jet multiplicity distributions in a Z-enriched selection of OnZ two-lepton events (left), and WZ-enriched selection of OnZ three-lepton events (center) prior to corrections. The lower panels show the ratio of observed events (Data) to the total background prediction (Bckg.), with the gray bands representing the statistical uncertainties in prediction. SM background predictions appear to fall short of the observations in both cases for higher jet multiplicities. This discrepancy has been corrected in the three-lepton distribution (right) using an appropriate subset of the two-lepton Z+jets data. The example RPVq signal ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) overlaid in the uncorrected distribution (center) can not be accommodated after corrections (right). Same signal is overlaid (not stacked) on the left figure. |
png pdf |
Figure 2-b:
Jet multiplicity distributions in a Z-enriched selection of OnZ two-lepton events (left), and WZ-enriched selection of OnZ three-lepton events (center) prior to corrections. The lower panels show the ratio of observed events (Data) to the total background prediction (Bckg.), with the gray bands representing the statistical uncertainties in prediction. SM background predictions appear to fall short of the observations in both cases for higher jet multiplicities. This discrepancy has been corrected in the three-lepton distribution (right) using an appropriate subset of the two-lepton Z+jets data. The example RPVq signal ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) overlaid in the uncorrected distribution (center) can not be accommodated after corrections (right). Same signal is overlaid (not stacked) on the left figure. |
png pdf |
Figure 2-c:
Jet multiplicity distributions in a Z-enriched selection of OnZ two-lepton events (left), and WZ-enriched selection of OnZ three-lepton events (center) prior to corrections. The lower panels show the ratio of observed events (Data) to the total background prediction (Bckg.), with the gray bands representing the statistical uncertainties in prediction. SM background predictions appear to fall short of the observations in both cases for higher jet multiplicities. This discrepancy has been corrected in the three-lepton distribution (right) using an appropriate subset of the two-lepton Z+jets data. The example RPVq signal ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) overlaid in the uncorrected distribution (center) can not be accommodated after corrections (right). Same signal is overlaid (not stacked) on the left figure. |
png pdf |
Figure 3:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and no b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVq signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) are also overlaid. |
png pdf |
Figure 3-a:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and no b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVq signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) are also overlaid. |
png pdf |
Figure 3-b:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and no b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVq signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) are also overlaid. |
png pdf |
Figure 3-c:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and no b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVq signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) are also overlaid. |
png pdf |
Figure 3-d:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and no b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVq signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 150 GeV) are also overlaid. |
png pdf |
Figure 4:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and at least one b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVb signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 50 GeV) are also overlaid. |
png pdf |
Figure 4-a:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and at least one b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVb signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 50 GeV) are also overlaid. |
png pdf |
Figure 4-b:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and at least one b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVb signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 50 GeV) are also overlaid. |
png pdf |
Figure 4-c:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and at least one b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVb signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 50 GeV) are also overlaid. |
png pdf |
Figure 4-d:
Post-fit $ S_{\mathrm{T}} $ distributions in OnZ three-lepton events with two or more jets and at least one b-tagged jet. The lower panel shows the ratio of observed events to the total expected background prediction. The gray band on the ratio represents the sum of statistical and systematic uncertainties in the SM background prediction. The expected background distributions and the uncertainties are obtained after fitting the data under the background-only hypothesis. For illustration, the expected pre-fit distributions of an example RPVb signal hypothesis ($ m_{\tilde{\chi}_1^\pm}= $ 350 GeV, $ m_{\tilde{\chi}_1^0}= $ 50 GeV) are also overlaid. |
png pdf |
Figure 5:
The ratio of the 95% CL upper limit on the RPVq (left) and RPVb (right) signal production cross section to the theoretical cross section, as a function of $ m(\tilde{\chi}_1^\pm) $ and $ m(\tilde{\chi}_1^0) $. Contour lines indicate the observed (bold solid) and median expected (bold dashed) boundaries as well as the 68% expected bands (thin dashed). |
png pdf |
Figure 5-a:
The ratio of the 95% CL upper limit on the RPVq (left) and RPVb (right) signal production cross section to the theoretical cross section, as a function of $ m(\tilde{\chi}_1^\pm) $ and $ m(\tilde{\chi}_1^0) $. Contour lines indicate the observed (bold solid) and median expected (bold dashed) boundaries as well as the 68% expected bands (thin dashed). |
png pdf |
Figure 5-b:
The ratio of the 95% CL upper limit on the RPVq (left) and RPVb (right) signal production cross section to the theoretical cross section, as a function of $ m(\tilde{\chi}_1^\pm) $ and $ m(\tilde{\chi}_1^0) $. Contour lines indicate the observed (bold solid) and median expected (bold dashed) boundaries as well as the 68% expected bands (thin dashed). |
| Summary |
| In summary, a search for supersymmetric electroweak production of a wino-like chargino-neutralino pair $ \tilde{\chi}_1^\pm \tilde{\chi}_2^0 $ followed by prompt hadronic R-parity violating decays of the two resultant bino-like neutralinos $ \tilde{\chi}_1^0 $ has been performed using 138 fb$ ^{-1} $ of pp collision data collected by the CMS detector at $ \sqrt{s} = $ 13 TeV. Constraints at 95% CL are placed on the wino-like chargino-neutralino and bino-like lightest neutralino superpartners with masses in the range of 125-600 GeV and 25-500 GeV, respectively, excluding such scenarios with bino-like lightest neutralino masses up to 275 GeV assuming decays to three light quarks, and up to 180 GeV in a scenario where the decay includes a bottom quark. These constitute the first direct bounds on this new class of supersymmetric extension of the SM. |
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