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CMS-PAS-HIN-26-008
Measurement of angular and invariant-mass distributions of same-sign dimuons in jets in proton-proton collisions at $ \sqrt{s}= $ 5.02 TeV
Abstract: Collinear beauty quark production within jets provides a sensitive test of perturbative quantum chromodynamics (pQCD) and of the modeling of $ \mathrm{b}\bar{\mathrm{b}} $ branchings during parton shower evolution and fragmentation. Normalized distributions of the angular separation and invariant mass of same-sign muon pairs are measured in proton-proton collisions at $ \sqrt{s}= $ 5.02 TeV, using data corresponding to an integrated luminosity of 306 $ \mathrm{pb}^{-1} $ collected with the CMS detector at the CERN LHC in 2017. The measurement is performed for jets with $ p_\mathrm{T} > $ 100 GeV containing two same-sign muons, each with $ p_\mathrm{T} > $ 8 GeV. Same-sign muon pairs are used to select a high-purity sample of jets containing two beauty hadrons, primarily produced through $ \mathrm{g} \to \mathrm{b}\bar{\mathrm{b}} $ splittings. The same-sign topology arises mainly when one muon is produced directly from the decay of a b-hadron, and the other muon of the same charge is produced in a charm hadron decay originating from the other b hadron. The angular separation between the same-sign muons from the sequential decay of the B hadrons retains sensitivity to the underlying properties of the $ \mathrm{b}\bar{\mathrm{b}} $ pair through the measured $ \Delta R_{\mu\mu} $ and $ m_{\mu\mu} $ distributions. They are corrected to the stable particle-level and compared with event-generator predictions incorporating leading- and next-to-leading-order pQCD calculations interfaced with parton showers and the respective hadronization effects. The results provide new benchmarks for the modeling of collinear beauty production and establish a proton-proton baseline for future heavy-ion studies aiming at constraining possible medium-induced modifications.
Figures Summary References CMS Publications
Figures

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Figure 1:
Reconstruction-level $ \Delta R_{\mu \mu} $ (left) and $ m_{\mu \mu} $ (right) distributions in data before subtraction of the unmatched dimuon contribution. The data are shown as black points and are compared with the fitted PYTHIA 8+ EVTGEN simulation. The estimated unmatched contribution, obtained from the template fit used in the purity correction, is shown as the hatched gray component. The generator-matched simulated contribution is further decomposed according to the generator-level heavy-flavor hadron content of the dimuon-tagged jet.

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Figure 1-a:
Reconstruction-level $ \Delta R_{\mu \mu} $ (left) and $ m_{\mu \mu} $ (right) distributions in data before subtraction of the unmatched dimuon contribution. The data are shown as black points and are compared with the fitted PYTHIA 8+ EVTGEN simulation. The estimated unmatched contribution, obtained from the template fit used in the purity correction, is shown as the hatched gray component. The generator-matched simulated contribution is further decomposed according to the generator-level heavy-flavor hadron content of the dimuon-tagged jet.

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Figure 1-b:
Reconstruction-level $ \Delta R_{\mu \mu} $ (left) and $ m_{\mu \mu} $ (right) distributions in data before subtraction of the unmatched dimuon contribution. The data are shown as black points and are compared with the fitted PYTHIA 8+ EVTGEN simulation. The estimated unmatched contribution, obtained from the template fit used in the purity correction, is shown as the hatched gray component. The generator-matched simulated contribution is further decomposed according to the generator-level heavy-flavor hadron content of the dimuon-tagged jet.

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Figure 2:
Fully corrected particle-level normalized yield densities of the dimuon opening angle $ \Delta R_{\mu\mu} $ (left) and invariant mass $ m_{\mu\mu} $ (right) for same-sign dimuon-tagged jets with $ p_{\mathrm{T}}^\mathrm{jet} > $ 100 GeV in proton--proton collisions at $ \sqrt{s}= $ 5.02 TeV. The measurements are compared with leading-order predictions from PYTHIA 8 with the CP5 tune and EVTGEN decays and from HERWIG 7 with the CH3 tune, a next-to-leading-order POWHEG calculation matched to the PYTHIA 8 parton shower, and a PYTHIA8+ EVTGEN simulation including colour correlations beyond leading $ N_{C} $ in the hadronization process [23]. The measured and predicted distributions are each normalized to the corresponding dimuon-tagged jet yield in the fiducial phase space. Statistical uncertainties are shown as vertical error bars, while shaded boxes denote the total systematic uncertainties. The lower panels show the ratios of the predictions to the measured central values.

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Figure 2-a:
Fully corrected particle-level normalized yield densities of the dimuon opening angle $ \Delta R_{\mu\mu} $ (left) and invariant mass $ m_{\mu\mu} $ (right) for same-sign dimuon-tagged jets with $ p_{\mathrm{T}}^\mathrm{jet} > $ 100 GeV in proton--proton collisions at $ \sqrt{s}= $ 5.02 TeV. The measurements are compared with leading-order predictions from PYTHIA 8 with the CP5 tune and EVTGEN decays and from HERWIG 7 with the CH3 tune, a next-to-leading-order POWHEG calculation matched to the PYTHIA 8 parton shower, and a PYTHIA8+ EVTGEN simulation including colour correlations beyond leading $ N_{C} $ in the hadronization process [23]. The measured and predicted distributions are each normalized to the corresponding dimuon-tagged jet yield in the fiducial phase space. Statistical uncertainties are shown as vertical error bars, while shaded boxes denote the total systematic uncertainties. The lower panels show the ratios of the predictions to the measured central values.

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Figure 2-b:
Fully corrected particle-level normalized yield densities of the dimuon opening angle $ \Delta R_{\mu\mu} $ (left) and invariant mass $ m_{\mu\mu} $ (right) for same-sign dimuon-tagged jets with $ p_{\mathrm{T}}^\mathrm{jet} > $ 100 GeV in proton--proton collisions at $ \sqrt{s}= $ 5.02 TeV. The measurements are compared with leading-order predictions from PYTHIA 8 with the CP5 tune and EVTGEN decays and from HERWIG 7 with the CH3 tune, a next-to-leading-order POWHEG calculation matched to the PYTHIA 8 parton shower, and a PYTHIA8+ EVTGEN simulation including colour correlations beyond leading $ N_{C} $ in the hadronization process [23]. The measured and predicted distributions are each normalized to the corresponding dimuon-tagged jet yield in the fiducial phase space. Statistical uncertainties are shown as vertical error bars, while shaded boxes denote the total systematic uncertainties. The lower panels show the ratios of the predictions to the measured central values.

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Figure 3:
The unit normalized distributions of the dimuon momentum fraction $ {p_\mathrm{T}}_{\mu\mu} / {p_\mathrm{T}}_{\text{jet}} $ are shown. The ratio plot is fit with a quadratic, which is used to determine the weight for each dimuon.

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Figure 4:
Same-sign dimuon data yield for $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) superimposed over scaled simulated matched (blue) and unmatched (red) templates. Their ratio is plotted alongside the fractional uncertainty of the overall simulation dimuon yield in each bin.

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Figure 4-a:
Same-sign dimuon data yield for $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) superimposed over scaled simulated matched (blue) and unmatched (red) templates. Their ratio is plotted alongside the fractional uncertainty of the overall simulation dimuon yield in each bin.

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Figure 4-b:
Same-sign dimuon data yield for $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) superimposed over scaled simulated matched (blue) and unmatched (red) templates. Their ratio is plotted alongside the fractional uncertainty of the overall simulation dimuon yield in each bin.

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Figure 5:
The purity for this measurement is defined as the matched yield / total MC yield, as determined by template fitting to the data distribution. The purity is shown for each bin in $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for same-sign dimuon jets with $ p_{\mathrm{T}} > $ 100 GeV. The unmatched yield in each bin is determined by a template fitting routine described in Section 4.

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Figure 5-a:
The purity for this measurement is defined as the matched yield / total MC yield, as determined by template fitting to the data distribution. The purity is shown for each bin in $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for same-sign dimuon jets with $ p_{\mathrm{T}} > $ 100 GeV. The unmatched yield in each bin is determined by a template fitting routine described in Section 4.

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Figure 5-b:
The purity for this measurement is defined as the matched yield / total MC yield, as determined by template fitting to the data distribution. The purity is shown for each bin in $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for same-sign dimuon jets with $ p_{\mathrm{T}} > $ 100 GeV. The unmatched yield in each bin is determined by a template fitting routine described in Section 4.

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Figure 6:
Uncorrected data-to-simulation comparison for the dimuon $ \Delta R_{\mu\mu} $ showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 6-a:
Uncorrected data-to-simulation comparison for the dimuon $ \Delta R_{\mu\mu} $ showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 6-b:
Uncorrected data-to-simulation comparison for the dimuon $ \Delta R_{\mu\mu} $ showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 7:
Uncorrected data-to-simulation comparison for the dimuon $ m_{\mu\mu} $ showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 7-a:
Uncorrected data-to-simulation comparison for the dimuon $ m_{\mu\mu} $ showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 7-b:
Uncorrected data-to-simulation comparison for the dimuon $ m_{\mu\mu} $ showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 8:
Uncorrected data-to-simulation comparison for the log of the product of each muon's transverse distance of closest approach (DCA) showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 8-a:
Uncorrected data-to-simulation comparison for the log of the product of each muon's transverse distance of closest approach (DCA) showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 8-b:
Uncorrected data-to-simulation comparison for the log of the product of each muon's transverse distance of closest approach (DCA) showing fitted unmatched and matched $ \Delta R_{\mu\mu} $ signal components (left), the overall truth-level jet flavor composition of the sample, including contributions from unmatched dimuon jets (middle), and the overall reconstructed muon simulation-type pair of the dimuon jets (right).

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Figure 9:
Reconstruction-level \(\Delta R_$ \mu \mu $\) (left) and \(m_$ \mu \mu $\) (right) distributions in data before subtraction of the unmatched dimuon contribution. The data are shown as black points and are compared with the fitted HERWIG simulation. The estimated unmatched contribution, obtained from the template fit used in the purity correction, is shown as the hatched gray component. The generator-matched simulated contribution is further decomposed according to the generator-level heavy-flavor hadron content of the dimuon-tagged jet.

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Figure 9-a:
Reconstruction-level \(\Delta R_$ \mu \mu $\) (left) and \(m_$ \mu \mu $\) (right) distributions in data before subtraction of the unmatched dimuon contribution. The data are shown as black points and are compared with the fitted HERWIG simulation. The estimated unmatched contribution, obtained from the template fit used in the purity correction, is shown as the hatched gray component. The generator-matched simulated contribution is further decomposed according to the generator-level heavy-flavor hadron content of the dimuon-tagged jet.

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Figure 9-b:
Reconstruction-level \(\Delta R_$ \mu \mu $\) (left) and \(m_$ \mu \mu $\) (right) distributions in data before subtraction of the unmatched dimuon contribution. The data are shown as black points and are compared with the fitted HERWIG simulation. The estimated unmatched contribution, obtained from the template fit used in the purity correction, is shown as the hatched gray component. The generator-matched simulated contribution is further decomposed according to the generator-level heavy-flavor hadron content of the dimuon-tagged jet.

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Figure 10:
Response matrices for the same-sign dimuon $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for simulated dimuon jets with reconstructed and truth-level $ p_{\mathrm{T}} > $ 100 GeV.

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Figure 10-a:
Response matrices for the same-sign dimuon $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for simulated dimuon jets with reconstructed and truth-level $ p_{\mathrm{T}} > $ 100 GeV.

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Figure 10-b:
Response matrices for the same-sign dimuon $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for simulated dimuon jets with reconstructed and truth-level $ p_{\mathrm{T}} > $ 100 GeV.

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Figure 11:
Full response matrices for same-sign dimuon $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for all bins.

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Figure 11-a:
Full response matrices for same-sign dimuon $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for all bins.

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Figure 11-b:
Full response matrices for same-sign dimuon $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right) for all bins.

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Figure 12:
Dimuon reconstruction efficiency as a function of $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right).

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Figure 12-a:
Dimuon reconstruction efficiency as a function of $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right).

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Figure 12-b:
Dimuon reconstruction efficiency as a function of $ \Delta R_{\mu\mu} $ (left) and $ m_{\mu\mu} $ (right).

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Figure 13:
Normalized distributions of the $ \Delta R_{\mu\mu} $ (left) and the $ m_{\mu\mu} $ (right) of $ \Delta R_{\mu\mu} $ for same-sign dimuon-tagged jets with $ p_{\mathrm{T}} > $ 100 GeV.

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Figure 13-a:
Normalized distributions of the $ \Delta R_{\mu\mu} $ (left) and the $ m_{\mu\mu} $ (right) of $ \Delta R_{\mu\mu} $ for same-sign dimuon-tagged jets with $ p_{\mathrm{T}} > $ 100 GeV.

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Figure 13-b:
Normalized distributions of the $ \Delta R_{\mu\mu} $ (left) and the $ m_{\mu\mu} $ (right) of $ \Delta R_{\mu\mu} $ for same-sign dimuon-tagged jets with $ p_{\mathrm{T}} > $ 100 GeV.

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Figure 14:
Systematic and statistical uncertainties as a fraction of the same-sign dimuon $ \Delta R_{\mu\mu} $ distribution magnitude. Total statistical and systematic uncertainties are the same across both plots. Purity statistical uncertainty, shower-modeling-dependent purity and unfolding/efficiency uncertainties, flavor, and efficiency uncertainties are shown (left). Muon tag-and-probe weights, JES, JER, and unfolding statistical uncertainties are shown (right).

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Figure 14-a:
Systematic and statistical uncertainties as a fraction of the same-sign dimuon $ \Delta R_{\mu\mu} $ distribution magnitude. Total statistical and systematic uncertainties are the same across both plots. Purity statistical uncertainty, shower-modeling-dependent purity and unfolding/efficiency uncertainties, flavor, and efficiency uncertainties are shown (left). Muon tag-and-probe weights, JES, JER, and unfolding statistical uncertainties are shown (right).

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Figure 14-b:
Systematic and statistical uncertainties as a fraction of the same-sign dimuon $ \Delta R_{\mu\mu} $ distribution magnitude. Total statistical and systematic uncertainties are the same across both plots. Purity statistical uncertainty, shower-modeling-dependent purity and unfolding/efficiency uncertainties, flavor, and efficiency uncertainties are shown (left). Muon tag-and-probe weights, JES, JER, and unfolding statistical uncertainties are shown (right).

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Figure 15:
Systematic and statistical uncertainties as a fraction of the same-sign dimuon $ m_{\mu\mu} $ distribution magnitude. Total statistical and systematic uncertainties are the same across both plots. Purity statistical uncertainty, shower-modeling-dependent purity and unfolding/efficiency uncertainties, flavor, and efficiency uncertainties are shown (left). Muon tag-and-probe weights, JES, JER, and unfolding statistical uncertainties are shown (right).

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Figure 15-a:
Systematic and statistical uncertainties as a fraction of the same-sign dimuon $ m_{\mu\mu} $ distribution magnitude. Total statistical and systematic uncertainties are the same across both plots. Purity statistical uncertainty, shower-modeling-dependent purity and unfolding/efficiency uncertainties, flavor, and efficiency uncertainties are shown (left). Muon tag-and-probe weights, JES, JER, and unfolding statistical uncertainties are shown (right).

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Figure 15-b:
Systematic and statistical uncertainties as a fraction of the same-sign dimuon $ m_{\mu\mu} $ distribution magnitude. Total statistical and systematic uncertainties are the same across both plots. Purity statistical uncertainty, shower-modeling-dependent purity and unfolding/efficiency uncertainties, flavor, and efficiency uncertainties are shown (left). Muon tag-and-probe weights, JES, JER, and unfolding statistical uncertainties are shown (right).

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Figure 16:
Correlations in PYTHIA 8+ EVTGEN simulation between the dimuon invariant mass and the invariant mass of the corresponding generator-level $ \mathrm{b}\overline{\mathrm{b}} $ pair (left), and between the dimuon and $ \mathrm{b}\overline{\mathrm{b}} $ angular separations (right). The invariant-mass correlation is substantially smeared by fragmentation and decay kinematics, whereas the angular separation retains a stronger correlation.

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Figure 16-a:
Correlations in PYTHIA 8+ EVTGEN simulation between the dimuon invariant mass and the invariant mass of the corresponding generator-level $ \mathrm{b}\overline{\mathrm{b}} $ pair (left), and between the dimuon and $ \mathrm{b}\overline{\mathrm{b}} $ angular separations (right). The invariant-mass correlation is substantially smeared by fragmentation and decay kinematics, whereas the angular separation retains a stronger correlation.

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Figure 16-b:
Correlations in PYTHIA 8+ EVTGEN simulation between the dimuon invariant mass and the invariant mass of the corresponding generator-level $ \mathrm{b}\overline{\mathrm{b}} $ pair (left), and between the dimuon and $ \mathrm{b}\overline{\mathrm{b}} $ angular separations (right). The invariant-mass correlation is substantially smeared by fragmentation and decay kinematics, whereas the angular separation retains a stronger correlation.
Summary
Measurements of the normalized dimuon invariant-mass and opening-angle distributions in same-sign dimuon-tagged jets have been presented for proton--proton collisions at $ \sqrt{s}= $ 5.02 TeV, using data corresponding to an integrated luminosity of 306 $ \text{pb}^{-1}$ collected with the CMS detector. The measurement is performed for jets with $ p_{\mathrm{T}}^{\mathrm{jet}} > $ 100 GeV containing two same-sign muons with $ p_{\mathrm{T}} > $ 8 GeV. The same-sign dimuon tagging technique selects a sample strongly enriched in jets containing two b hadrons while retaining sensitivity to very small angular separations. The distributions are described within the experimental uncertainties by predictions from PYTHIA 8, HERWIG 7, and POWHEG matched to the PYTHIA 8 parton shower. These results provide new differential constraints on collinear beauty production in the very small opening-angle region, complementing existing measurements while retaining direct control of the hard scale of the selected topology through the jet transverse-momentum requirement. This study also establishes a proton--proton reference for future studies of possible medium-induced modifications in heavy-ion collisions.
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Compact Muon Solenoid
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