#CMSpaper: Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H → bb decay channel in proton-proton collisions at √s = 13 TeV (arXiv:2411.16907)
https://arxiv.org/abs/2411.16907 #HiggsBoson 
Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H $\to\mathrm{b\bar{b}}$ decay channel in proton-proton collisions at $\sqrt{s}$ = 13 TeV
A standard model effective field theory (SMEFT) analysis with dimension-six operators probing nonresonant new physics effects is performed in the Higgs-strahlung process, where the Higgs boson is produced in association with a W or Z boson, in proton-proton collisions at a center-of-mass energy of 13 TeV. The final states in which the W or Z boson decays leptonically and the Higgs boson decays to a pair of bottom quarks are considered. The analyzed data were collected by the CMS experiment between 2016 and 2018 and correspond to an integrated luminosity of 138 fb$^{-1}$. An approach designed to simultaneously optimize the sensitivity to Wilson coefficients of multiple SMEFT operators is employed. Likelihood scans as functions of the Wilson coefficients that carry SMEFT sensitivity in this final state are performed for different expansions in SMEFT. The results are consistent with the predictions of the standard model.
#CMSpaper: Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H → bb decay channel in proton-proton collisions at √s = 13 TeV (arXiv:2411.16907)
https://arxiv.org/abs/2411.16907 #HiggsBoson Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H $\to\mathrm{b\bar{b}}$ decay channel in proton-proton collisions at $\sqrt{s}$ = 13 TeV
A standard model effective field theory (SMEFT) analysis with dimension-six operators probing nonresonant new physics effects is performed in the Higgs-strahlung process, where the Higgs boson is produced in association with a W or Z boson, in proton-proton collisions at a center-of-mass energy of 13 TeV. The final states in which the W or Z boson decays leptonically and the Higgs boson decays to a pair of bottom quarks are considered. The analyzed data were collected by the CMS experiment between 2016 and 2018 and correspond to an integrated luminosity of 138 fb$^{-1}$. An approach designed to simultaneously optimize the sensitivity to Wilson coefficients of multiple SMEFT operators is employed. Likelihood scans as functions of the Wilson coefficients that carry SMEFT sensitivity in this final state are performed for different expansions in SMEFT. The results are consistent with the predictions of the standard model.
#CMSpaper: Search for rare decays of the Z and Higgs bosons to a J/ψ or ψ(2S) meson and a photon in proton-proton collisions at √s = 13 TeV (arXiv:2411.15000)
https://arxiv.org/abs/2411.15000 #StandardModel Search for rare decays of the Z and Higgs bosons to a J/$ψ$ or $ψ$(2S) meson and a photon in proton-proton collisions at $\sqrt{s}$ = 13 TeV
A search is presented for rare decays of the Z and Higgs bosons to a photon and a J/$ψ$ or a $ψ$(2S) meson, with the charmonium state subsequentially decaying to a pair of muons. The data set corresponds to an integrated luminosity of 123 fb$^{-1}$ of proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS detector at the LHC. No evidence for branching fractions of these rare decay channels larger than predicted in the standard model is observed. Upper limits at 95% confidence level are set: $\mathcal{B}$(H $\to$ J/$ψγ$) $\lt$ 2.6 $\times$ 10$^{-4}$, $\mathcal{B}$(H $\to$ $ψ$(2S)$γ$) $\lt$ 9.9 $\times$ 10$^{-4}$, $\mathcal{B}$(Z $\to$ J/$ψγ$) $\lt$ 0.6 $\times$ 10$^{-6}$, and $\mathcal{B}$(Z $\to$ $ψ$(2S)$γ$) $\lt$ 1.3 $\times$ 10$^{-6}$. The ratio of the Higgs boson coupling modifiers $κ_\mathrm{c} / κ_γ$ is constrained to be in the interval ($-$157, $+$199) at 95% confidence level. Assuming $κ_γ= 1$, this interval becomes ($-$166, $+$208).
#CMSpaper: Search for rare decays of the Z and Higgs bosons to a J/ψ or ψ(2S) meson and a photon in proton-proton collisions at √s = 13 TeV (CMS-SMP-22-012)
https://cds.cern.ch/record/2917845 #StandardModel 
Search for rare decays of the Z and Higgs bosons to a $ \mathrm{J}/\psi $ or $\psi(2\text{S})$ meson and a photon in proton-proton collisions at $ \sqrt{s} = $ 13 TeV
A search is presented for rare decays of the Z and Higgs bosons to a photon and a $ \mathrm{J}/\psi $ or a $\psi(2\text{S})$ meson, with the charmonium state subsequentially decaying to a pair of muons. The data set corresponds to an integrated luminosity of 123 fb$ ^{-1} $ of proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS detector at the LHC. No evidence for branching fractions of these rare decay channels larger than predicted in the standard model is observed. Upper limits at 95% confidence level are set: $ \mathcal{B}(\mathrm{H}\to\mathrm{J}/\psi\gamma) < $ 2.6 $\times$ 10$^{-4} $, $ \mathcal{B}(\mathrm{H}\to\psi(2\text{S})\gamma) < $ 9.9 $\times$ 10$^{-4} $, $ \mathcal{B}(\mathrm{Z}\to\mathrm{J}/\psi\gamma) < $ 0.6 $\times$ 10$^{-6} $, and $ \mathcal{B}(\mathrm{Z}\to\psi(2\text{S})\gamma) < $ 1.3 $\times$ 10$^{-6} $. The ratio of the Higgs boson coupling modifiers $ \kappa_{\mathrm{c}}/\kappa_{\gamma} $ is constrained to be in the interval ($-$157, $+$199) at 95% confidence level. Assuming $ \kappa_{\gamma}= $ 1, this interval becomes ($-$166, $+$208).
#CMSPAS: Constraining nPDFs using dijet production in pPb collisions at 8.16 TeV with the CMS experiment (CMS-PAS-HIN-24-014)
https://cds.cern.ch/record/2917837 #HeavyIons 
Constraining nPDFs using dijet production in pPb collisions at 8.16 TeV with the CMS experiment
The dijet pseudorapidity ($\eta^{\text{dijet}}$) distribution in proton-lead ($\text{pPb}$) collisions is sensitive to nuclear modifications of parton distribution functions (PDFs). Additionally, the measurement of the $\eta^{\text{dijet}}$ dependence of the average transverse momenta of dijets provides a precise method for investigating the energy scale of partonic interactions and their momentum transfer dependence ($Q^{2}$). Previously published measurements of dijet production in $\text{pPb}$ collisions at a center-of-mass collision energy per nucleon pair of $\sqrt{s_{\mathrm{NN}}}=5.02~\mathrm{TeV}$ were used to constrain nuclear PDF fits based on next-to-leading order calculations. Here, a new measurement of dijet distributions using $\text{pPb}$ collision data collected at a higher energy of $8.16~\mathrm{TeV}$ is reported. The data, recorded by the CMS experiment at the LHC, correspond to an integrated luminosity of $174.6~\mathrm{nb}^{-1}$. The $\eta^{\text{dijet}}$ distributions are measured for multiple dijet average transverse momentum $p_{\text{T}}^{\text{ave}}$ intervals from $50$ to $500~\mathrm{GeV}$.
#CMSpaper: Angular analysis of the B⁰ → K*⁰(892) μ⁺μ⁻ decay in proton-proton collisions at √s = 13 TeV (arXiv:2411.11820)
https://arxiv.org/abs/2411.11820 #BPhysics Angular analysis of the B$^0$ $\to$ K$^*$(892)$^0μ^+μ^-$ decay in proton-proton collisions at $\sqrt{s}$ = 13 TeV
A full set of optimized observables is measured in an angular analysis of the decay B$^0$ $\to$ K$^*$(892)$^0μ^+μ^-$ using a sample of proton-proton collisions at $\sqrt{s}$ = 13 TeV, collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 140 fb$^{-1}$. The analysis is performed in six bins of the squared invariant mass of the dimuon system, $q^2$, over the range 1.1 $\lt$ $q^2$ $\lt$ 16 GeV$^2$. The results are among the most precise experimental measurements of the angular observables for this decay and are compared to a variety of predictions based on the standard model. Some of these predictions exhibit tension with the measurements.
#CMSPAS: Combination of searches for nonresonant Higgs boson pair production in proton-proton collisions at sqrt(s) = 13 TeV (CMS-PAS-HIG-20-011)
https://cds.cern.ch/record/2917252 #HiggsBoson 
Combination of searches for nonresonant Higgs boson pair production in proton-proton collisions at sqrt(s) = 13 TeV
This note presents a comprehensive overview and statistical combination of searches for the nonresonant production of Higgs boson pairs (HH) using data from proton-proton collisions collected by the CMS experiment at the LHC from 2016 to 2018 at a centre-of-mass energy of $13~\mathrm{TeV}$, corresponding to a total integrated luminosity of $138~\mathrm{fb}^{-1}$. Upper limits at $95\%$ confidence level are set on the rate of the HH production. The observed (expected) upper limit on the inclusive production cross section relative to the standard model expectation is found to be 3.5 (2.5). Assuming all other Higgs boson couplings are equal to their values in the standard model, we exclude HH production at $95\%$ confidence level for values of the Higgs boson trilinear self-coupling modifier $\kappa_{\lambda}$ outside the range between $-1.39$ and 7.02. Similarly, for the coupling modifier $\kappa_{2\mathrm{V}}$ affecting the interaction between two vector bosons and two Higgs bosons, we exclude HH production for values outside the range between 0.62 and 1.42. This work also studies HH production in new physics scenarios, using the Higgs effective field theory parametrisation. An extrapolation of the results to the integrated luminosity expected after the high-luminosity upgrade of the LHC is also presented.
#CMSpaper: Reweighting simulated events using machine-learning techniques in the CMS experiment (arXiv:2411.03023)
https://arxiv.org/abs/2411.03023 Reweighting simulated events using machine-learning techniques in the CMS experiment
Data analyses in particle physics rely on an accurate simulation of particle collisions and a detailed simulation of detector effects to extract physics knowledge from the recorded data. Event generators together with a GEANT-based simulation of the detectors are used to produce large samples of simulated events for analysis by the LHC experiments. These simulations come at a high computational cost, where the detector simulation and reconstruction algorithms have the largest CPU demands. This article describes how machine-learning (ML) techniques are used to reweight simulated samples obtained with a given set of model parameters to samples with different parameters or samples obtained from entirely different simulation programs. The ML reweighting method avoids the need for simulating the detector response multiple times by incorporating the relevant information in a single sample through event weights. Results are presented for reweighting to model variations and higher-order calculations in simulated top quark pair production at the LHC. This ML-based reweighting is an important element of the future computing model of the CMS experiment and will facilitate precision measurements at the High-Luminosity LHC.
#CMSpaper: Reweighting simulated events using machine-learning techniques in the CMS experiment (CMS-MLG-24-001)
https://cds.cern.ch/record/2916297 
Reweighting simulated events using machine-learning techniques in the CMS experiment
Data analyses in particle physics rely on an accurate simulation of particle collisions and a detailed simulation of detector effects to extract physics knowledge from the recorded data. Event generators together with a GEANT-based simulation of the detectors are used to produce large samples of simulated events for analysis by the LHC experiments. These simulations come at a high computational cost, where the detector simulation and reconstruction algorithms have the largest CPU demands. This article describes how machine-learning (ML) techniques are used to reweight simulated samples obtained with a given set of model parameters to samples with different parameters or samples obtained from entirely different models. The ML reweighting method avoids the need for simulating the detector response multiple times by incorporating the relevant information in a single sample through event weights. Results are presented for reweighting to model variations and higher-order calculations in simulated top quark pair production at the LHC. This ML-based reweighting is an important element of the future computing model of the CMS experiment and will facilitate precision measurements at the High-Luminosity LHC.
#CMSpaper: Reweighting simulated events using machine-learning techniques in the CMS experiment (CMS-MLG-24-001)
https://cds.cern.ch/record/2916297 Reweighting simulated events using machine-learning techniques in the CMS experiment
Data analyses in particle physics rely on an accurate simulation of particle collisions and a detailed simulation of detector effects to extract physics knowledge from the recorded data. Event generators together with a GEANT-based simulation of the detectors are used to produce large samples of simulated events for analysis by the LHC experiments. These simulations come at a high computational cost, where the detector simulation and reconstruction algorithms have the largest CPU demands. This article describes how machine-learning (ML) techniques are used to reweight simulated samples obtained with a given set of model parameters to samples with different parameters or samples obtained from entirely different models. The ML reweighting method avoids the need for simulating the detector response multiple times by incorporating the relevant information in a single sample through event weights. Results are presented for reweighting to model variations and higher-order calculations in simulated top quark pair production at the LHC. This ML-based reweighting is an important element of the future computing model of the CMS experiment and will facilitate precision measurements at the High-Luminosity LHC.
