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- 3 November 2026
- Published by Springer Nature in The European Physical Journal C
Exploring enhanced non-resonant di-Higgs production at the HL-LHC with neural networks
by Leandro Da Rold, Manuel Epele, Anibal D. Medina, Nicolás I. Mileo, Alejandro Szynkman
We investigate di-Higgs production in the $$b\bar{b}\gamma \gamma $$ $b \bar{b} γ γ$ final state at the LHC, focusing on scenarios where the gluon fusion process is enhanced by new colored scalars, which could be identified as squarks or leptoquarks. We consider two benchmarks characterized by the mass of the lightest colored scalar, BM $$_{\textrm{L}}$$ $_{L}$ and BM $$_{\textrm{H}}$$ $_{H}$ , corresponding to 464 GeV and 621 GeV, respectively. Using Monte Carlo simulations for both the signal and the dominant backgrounds, we perform a discovery analysis with deep neural networks, exploring various architectures and input variables. Our results show that the discrimination power is maximized by employing two dedicated classifiers, one trained against QCD backgrounds and another against backgrounds involving single-Higgs processes. Furthermore, we demonstrate that including high-level features – such as the invariant masses $$m_{\gamma \gamma }$$ $m_{γ γ}$ , $$m_{bb}$$ $m_{bb}$ , and $$m_{hh}$$ $m_{hh}$ , as well as the transverse momenta and angular separations of the photon and b -jet pairs – significantly improves the performance compared to using only low-level features as the invariant mass and momenta of the final particles. For the latter case, we find that architectures processing photon and b -jet variables separately can enhance the significance for BM $$_{\textrm{H}}$$ $_{H}$ . Projecting for an integrated luminosity of 3 ab $$^{-1}$$ $^{- 1}$ , we obtain a significance of 7.2 for BM $$_{\textrm{L}}$$ $_{L}$ , while it drops to 3.1 for BM $$_{\textrm{H}}$$ $_{H}$ . In the particular case of BM $$_{\textrm{L}}$$ $_{L}$ , discovery level significance can be reached at 1.4 ab $$^{-1}$$ $^{- 1}$ . We also estimate how these results could be modified by potential systematic uncertainties.
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- 3 November 2026
- Published by Springer Nature in The European Physical Journal C
Open Access
Exploring enhanced non-resonant di-Higgs production at the HL-LHC with neural networks
by Leandro Da Rold, Manuel Epele, Anibal D. Medina, Nicolás I. Mileo, Alejandro Szynkman
We investigate di-Higgs production in the $$b\bar{b}\gamma \gamma $$ $b \bar{b} γ γ$ final state at the LHC, focusing on scenarios where the gluon fusion process is enhanced by new colored scalars, which could be identified as squarks or leptoquarks. We consider two benchmarks characterized by the mass of the lightest colored scalar, BM $$_{\textrm{L}}$$ $_{L}$ and BM $$_{\textrm{H}}$$ $_{H}$ , corresponding to 464 GeV and 621 GeV, respectively. Using Monte Carlo simulations for both the signal and the dominant backgrounds, we perform a discovery analysis with deep neural networks, exploring various architectures and input variables. Our results show that the discrimination power is maximized by employing two dedicated classifiers, one trained against QCD backgrounds and another against backgrounds involving single-Higgs processes. Furthermore, we demonstrate that including high-level features – such as the invariant masses $$m_{\gamma \gamma }$$ $m_{γ γ}$ , $$m_{bb}$$ $m_{bb}$ , and $$m_{hh}$$ $m_{hh}$ , as well as the transverse momenta and angular separations of the photon and b -jet pairs – significantly improves the performance compared to using only low-level features as the invariant mass and momenta of the final particles. For the latter case, we find that architectures processing photon and b -jet variables separately can enhance the significance for BM $$_{\textrm{H}}$$ $_{H}$ . Projecting for an integrated luminosity of 3 ab $$^{-1}$$ $^{- 1}$ , we obtain a significance of 7.2 for BM $$_{\textrm{L}}$$ $_{L}$ , while it drops to 3.1 for BM $$_{\textrm{H}}$$ $_{H}$ . In the particular case of BM $$_{\textrm{L}}$$ $_{L}$ , discovery level significance can be reached at 1.4 ab $$^{-1}$$ $^{- 1}$ . We also estimate how these results could be modified by potential systematic uncertainties.
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- 19 May 2026
- Published by Springer Nature in Journal of High Energy Physics
Lepton flavor from a horizontal symmetry in a slice of AdS5
by Leandro Da Rold, Franco A. Gigena, Jaime S. Guzmán Guerrero
A bstract: We build a model of lepton flavor in a slice of AdS ₅ . We add to the 5D SM fields a set of neutrino fields, as well as a horizontal U(1) symmetry and a flavon field, all propagating in the bulk. The electroweak and U(1) symmetries are spontaneously broken by a potential localized on the infrared boundary. We show that in a flavor anarchic scenario, by suitable choice of the 5D masses and the U(1) charges, the masses of the SM leptons and the PMNS matrix can be naturally generated. The neutrino masses are Dirac like, with a normal ordered hierarchical spectrum, $$ \Delta {m}_{32}^2\approx {m}_3^2,\Delta {m}_{21}^2\approx {m}_2^2\gg {m}_1^2 $$ $∆ m_{32}^{2} \approx m_{3}^{2}, ∆ m_{21}^{2} \approx m_{2}^{2} ≫ m_{1}^{2}$ , and a suppressed θ ₁₃ mixing angle. We find configurations where the charged lepton mixing angles are suppressed by powers of the Cabibbo angle ( λ _C ) relative to vanilla anarchic partial compositeness, consequently reducing CP and lepton flavor violation. Specifically, the Wilson coefficient for the electron electromagnetic dipole moment exhibits $$ {\lambda}_C^2 $$ $λ_{C}^{2}$ suppression, while those governing μ → eγ and μ − e vector operators are suppressed by $$ {\lambda}_C^{3/2} $$ $λ_{C}^{3 / 2}$ compared to the anarchic scenario without U(1) horizontal symmetry.
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- 19 May 2026
- Published by Springer Nature in Journal of High Energy Physics
Open Access
Lepton flavor from a horizontal symmetry in a slice of AdS5
by Leandro Da Rold, Franco A. Gigena, Jaime S. Guzmán Guerrero
A bstract: We build a model of lepton flavor in a slice of AdS ₅ . We add to the 5D SM fields a set of neutrino fields, as well as a horizontal U(1) symmetry and a flavon field, all propagating in the bulk. The electroweak and U(1) symmetries are spontaneously broken by a potential localized on the infrared boundary. We show that in a flavor anarchic scenario, by suitable choice of the 5D masses and the U(1) charges, the masses of the SM leptons and the PMNS matrix can be naturally generated. The neutrino masses are Dirac like, with a normal ordered hierarchical spectrum, $$ \Delta {m}_{32}^2\approx {m}_3^2,\Delta {m}_{21}^2\approx {m}_2^2\gg {m}_1^2 $$ $∆ m_{32}^{2} \approx m_{3}^{2}, ∆ m_{21}^{2} \approx m_{2}^{2} ≫ m_{1}^{2}$ , and a suppressed θ ₁₃ mixing angle. We find configurations where the charged lepton mixing angles are suppressed by powers of the Cabibbo angle ( λ _C ) relative to vanilla anarchic partial compositeness, consequently reducing CP and lepton flavor violation. Specifically, the Wilson coefficient for the electron electromagnetic dipole moment exhibits $$ {\lambda}_C^2 $$ $λ_{C}^{2}$ suppression, while those governing μ → eγ and μ − e vector operators are suppressed by $$ {\lambda}_C^{3/2} $$ $λ_{C}^{3 / 2}$ compared to the anarchic scenario without U(1) horizontal symmetry.
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- 5 May 2026
- Published by Springer Nature in Journal of High Energy Physics
Di-Higgs to 4b with Bayesian inference: improving simulation estimates
by Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc, Alejandro Szynkman, Santiago Tanco, Tatiana Tarutina
A bstract: Measuring di-Higgs production in the four-bottom channel is challenged by overwhelming QCD backgrounds and imperfect simulations. We develop a Bayesian mixture model that simultaneously infers signal and background fractions and their individual shapes directly in the signal region. The likelihood is a nuanced combination of a one-dimensional kinematic discriminator and per-jet flavour scores; with their correlations incorporated via kinematic bins. Monte Carlo informs weak Dirichlet priors, while the posterior adjusts to the interplay of the model, priors and observed data. Using pseudo-data simulated with standard tools and with controlled mismatches, we show that the method corrects biased priors, delivers 68–95% credible intervals for the signal count, and improves dataset-level ROC/AUC relative to simple cut-and-count baselines. This study highlights how Bayesian inference can harvest information present in the signal region and self-calibrate model parameters, providing a robust route to increased sensitivity in di-Higgs searches.
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- 5 May 2026
- Published by Springer Nature in Journal of High Energy Physics
Open Access
Di-Higgs to 4b with Bayesian inference: improving simulation estimates
by Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc, Alejandro Szynkman, Santiago Tanco, Tatiana Tarutina
A bstract: Measuring di-Higgs production in the four-bottom channel is challenged by overwhelming QCD backgrounds and imperfect simulations. We develop a Bayesian mixture model that simultaneously infers signal and background fractions and their individual shapes directly in the signal region. The likelihood is a nuanced combination of a one-dimensional kinematic discriminator and per-jet flavour scores; with their correlations incorporated via kinematic bins. Monte Carlo informs weak Dirichlet priors, while the posterior adjusts to the interplay of the model, priors and observed data. Using pseudo-data simulated with standard tools and with controlled mismatches, we show that the method corrects biased priors, delivers 68–95% credible intervals for the signal count, and improves dataset-level ROC/AUC relative to simple cut-and-count baselines. This study highlights how Bayesian inference can harvest information present in the signal region and self-calibrate model parameters, providing a robust route to increased sensitivity in di-Higgs searches.
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- 26 November 2025
- Published by arXiv in arXiv
Di-Higgs to 4b with Bayesian inference: improving simulation estimates
by Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc, Alejandro Szynkman, Santiago Tanco, Tatiana Tarutina
Measuring di-Higgs production in the four-bottom channel is challenged by overwhelming QCD backgrounds and imperfect simulations. We develop a Bayesian mixture model that simultaneously infers signal and background fractions and their individual shapes directly in the signal region. The likelihood is a nuanced combination of a one-dimensional kinematic discriminator and per-jet flavour scores; with their correlations incorporated via kinematic bins. Monte Carlo informs weak Dirichlet priors, while the posterior adjusts to the interplay of the model, priors and observed data. Using pseudo-data simulated with standard tools and with controlled mismatches, we show that the method corrects biased priors, delivers calibrated 68-95% credible intervals for the signal count, and improves dataset-level ROC/AUC relative to simple cut-and-count baselines. This study highlights how Bayesian inference can harvest information present in the signal region and self-calibrate model parameters, providing a robust route to increased sensitivity in di-Higgs searches.
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- 26 November 2025
- Published by arXiv in arXiv
Open Access
Di-Higgs to 4b with Bayesian inference: improving simulation estimates
by Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc, Alejandro Szynkman, Santiago Tanco, Tatiana Tarutina
Measuring di-Higgs production in the four-bottom channel is challenged by overwhelming QCD backgrounds and imperfect simulations. We develop a Bayesian mixture model that simultaneously infers signal and background fractions and their individual shapes directly in the signal region. The likelihood is a nuanced combination of a one-dimensional kinematic discriminator and per-jet flavour scores; with their correlations incorporated via kinematic bins. Monte Carlo informs weak Dirichlet priors, while the posterior adjusts to the interplay of the model, priors and observed data. Using pseudo-data simulated with standard tools and with controlled mismatches, we show that the method corrects biased priors, delivers calibrated 68-95% credible intervals for the signal count, and improves dataset-level ROC/AUC relative to simple cut-and-count baselines. This study highlights how Bayesian inference can harvest information present in the signal region and self-calibrate model parameters, providing a robust route to increased sensitivity in di-Higgs searches.
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Cited by 5
- 23 January 2025
- Published by Springer Nature in Journal of High Energy Physics
Testing the lepton content of the proton at HERA and EIC
by Leandro Da Rold, Anibal D. Medina, Subhojit Roy, Carlos E. M. Wagner
A bstract: Although protons are baryons with an overall vanishing lepton number, they possess a non-trivial leptonic content arising from quantum fluctuations which can be described by lepton parton distribution functions (PDFs) of the proton. These PDFs have been recently computed and can be used to define lepton-induced processes at high-energy colliders. In this article, we propose a novel way to test the computation of lepton PDFs of the proton by analyzing both non-resonant di-lepton and resonant Z gauge boson production processes induced by leptons within the proton at proton-electron colliders like HERA and EIC. Despite the fact that lepton PDFs of the proton are known to be small, this work demonstrates that both processes imply a measurable yield of events at HERA and EIC, which could be used to test these PDFs.
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- 23 January 2025
- Published by Springer Nature in Journal of High Energy Physics
Open Access
Testing the lepton content of the proton at HERA and EIC
by Leandro Da Rold, Anibal D. Medina, Subhojit Roy, Carlos E. M. Wagner
A bstract: Although protons are baryons with an overall vanishing lepton number, they possess a non-trivial leptonic content arising from quantum fluctuations which can be described by lepton parton distribution functions (PDFs) of the proton. These PDFs have been recently computed and can be used to define lepton-induced processes at high-energy colliders. In this article, we propose a novel way to test the computation of lepton PDFs of the proton by analyzing both non-resonant di-lepton and resonant Z gauge boson production processes induced by leptons within the proton at proton-electron colliders like HERA and EIC. Despite the fact that lepton PDFs of the proton are known to be small, this work demonstrates that both processes imply a measurable yield of events at HERA and EIC, which could be used to test these PDFs.
Cited by 5
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Cited by 17
- 15 July 2024
- Published by Stichting SciPost in SciPost Physics Core
Improvement and generalization of ABCD method with Bayesian inference
by Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc, Alejandro Szynkman, Santiago Tanco, Tatiana Tarutina
To find New Physics or to refine our knowledge of the Standard Model at the LHC is an enterprise that involves many factors, such as the capabilities and the performance of the accelerator and detectors, the use and exploitation of the available information, the design of search strategies and observables, as well as the proposal of new models. We focus on the use of the information and pour our effort in re-thinking the usual data-driven ABCD method to improve it and to generalize it using Bayesian Machine Learning techniques and tools. We propose that a dataset consisting of a signal and many backgrounds is well described through a mixture model. Signal, backgrounds and their relative fractions in the sample can be well extracted by exploiting the prior knowledge and the dependence between the different observables at the event-by-event level with Bayesian tools. We show how, in contrast to the ABCD method, one can take advantage of understanding some properties of the different backgrounds and of having more than two independent observables to measure in each event. In addition, instead of regions defined through hard cuts, the Bayesian framework uses the information of continuous distribution to obtain soft-assignments of the events which are statistically more robust. To compare both methods we use a toy problem inspired by pp\to hh\to b\bar b b \bar b p p → h h → b b ‾ b b ‾ , selecting a reduced and simplified number of processes and analysing the flavor of the four jets and the invariant mass of the jet-pairs, modeled with simplified distributions. Taking advantage of all this information, and starting from a combination of biased and agnostic priors, leads us to a very good posterior once we use the Bayesian framework to exploit the data and the mutual information of the observables at the event-by-event level. We show how, in this simplified model, the Bayesian framework outperforms the ABCD method sensitivity in obtaining the signal fraction in scenarios with 1% and 0.5% true signal fractions in the dataset. We also show that the method is robust against the absence of signal. We discuss potential prospects for taking this Bayesian data-driven paradigm into more realistic scenarios.
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- 15 July 2024
- Published by Stichting SciPost in SciPost Physics Core
Open Access
Improvement and generalization of ABCD method with Bayesian inference
by Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc, Alejandro Szynkman, Santiago Tanco, Tatiana Tarutina
To find New Physics or to refine our knowledge of the Standard Model at the LHC is an enterprise that involves many factors, such as the capabilities and the performance of the accelerator and detectors, the use and exploitation of the available information, the design of search strategies and observables, as well as the proposal of new models. We focus on the use of the information and pour our effort in re-thinking the usual data-driven ABCD method to improve it and to generalize it using Bayesian Machine Learning techniques and tools. We propose that a dataset consisting of a signal and many backgrounds is well described through a mixture model. Signal, backgrounds and their relative fractions in the sample can be well extracted by exploiting the prior knowledge and the dependence between the different observables at the event-by-event level with Bayesian tools. We show how, in contrast to the ABCD method, one can take advantage of understanding some properties of the different backgrounds and of having more than two independent observables to measure in each event. In addition, instead of regions defined through hard cuts, the Bayesian framework uses the information of continuous distribution to obtain soft-assignments of the events which are statistically more robust. To compare both methods we use a toy problem inspired by pp\to hh\to b\bar b b \bar b p p → h h → b b ‾ b b ‾ , selecting a reduced and simplified number of processes and analysing the flavor of the four jets and the invariant mass of the jet-pairs, modeled with simplified distributions. Taking advantage of all this information, and starting from a combination of biased and agnostic priors, leads us to a very good posterior once we use the Bayesian framework to exploit the data and the mutual information of the observables at the event-by-event level. We show how, in this simplified model, the Bayesian framework outperforms the ABCD method sensitivity in obtaining the signal fraction in scenarios with 1% and 0.5% true signal fractions in the dataset. We also show that the method is robust against the absence of signal. We discuss potential prospects for taking this Bayesian data-driven paradigm into more realistic scenarios.
Cited by 17
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Cited by 1
- 24 June 2024
- Published by Springer Nature in Journal of High Energy Physics
The flavor of a minimal composite S1 leptoquark and the $ b\to c\tau \overline{\nu} $ anomaly
by Leandro Da Rold
Several experiments have measured a deviation in B → D ^(∗) semileptonic decays, that point to new physics at the TeV scale violating lepton flavor universality. A scalar leptoquark S ₁, with a suitable structure of couplings in flavor space, is known to be able to solve this anomaly modifying $$ b\to c\tau \overline{\nu} $$ $b \to cτ \bar{ν}$ . In the context of composite Higgs models, we consider a theory containing H and S ₁ as Nambu-Goldstone bosons (NGBs) of a new strongly interacting sector, with ordinary resonances at a scale $$ \mathcal{O}(10) $$ $O (10)$ TeV. Assuming anarchic partial compositeness of the Standard Model (SM) fermions we calculate the potential of the NGBs that is dominated by the fermions of the third generation, we compute $$ {R}_{D^{\left(\ast \right)}} $$ $R_{D^{(*)}}$ and estimate the corrections to flavor observables by the presence of S ₁. We find that the SM spectrum and $$ {m}_{S_1} $$ $m_{S_{1}}$ ∼ TeV can be obtained with a NGB decay constant of order ∼ 5 TeV. We obtain a robust correlation between the main corrections to $$ {R}_{D^{\left(\ast \right)}} $$ $R_{D^{(*)}}$ , $$ {B}_{K^{\left(\ast \right)}\nu \nu} $$ $B_{K^{(*)} νν}$ and g _τ/g _μ, that leads to a sever bound on $$ {R}_{D^{\left(\ast \right)}} $$ $R_{D^{(*)}}$ , roughly 2σ below the experimental value. Besides the bounds on the flavor observables $$ {g}_{\tau}^W $$ $g_{τ}^{W}$ , BR(τ → μγ) and $$ \Delta {m}_{B_s} $$ $∆ m_{B_{s}}$ are saturated, with the first one requiring a coupling between resonances g _* ≲ 2, whereas the second one demands $$ {m}_{S_1} $$ $m_{S_{1}}$ ≳ 1.7 TeV, up to corrections of $$ \mathcal{O}(1) $$ $O (1)$ .
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- 24 June 2024
- Published by Springer Nature in Journal of High Energy Physics
Open Access
The flavor of a minimal composite S1 leptoquark and the $ b\to c\tau \overline{\nu} $ anomaly
by Leandro Da Rold
Several experiments have measured a deviation in B → D ^(∗) semileptonic decays, that point to new physics at the TeV scale violating lepton flavor universality. A scalar leptoquark S ₁, with a suitable structure of couplings in flavor space, is known to be able to solve this anomaly modifying $$ b\to c\tau \overline{\nu} $$ $b \to cτ \bar{ν}$ . In the context of composite Higgs models, we consider a theory containing H and S ₁ as Nambu-Goldstone bosons (NGBs) of a new strongly interacting sector, with ordinary resonances at a scale $$ \mathcal{O}(10) $$ $O (10)$ TeV. Assuming anarchic partial compositeness of the Standard Model (SM) fermions we calculate the potential of the NGBs that is dominated by the fermions of the third generation, we compute $$ {R}_{D^{\left(\ast \right)}} $$ $R_{D^{(*)}}$ and estimate the corrections to flavor observables by the presence of S ₁. We find that the SM spectrum and $$ {m}_{S_1} $$ $m_{S_{1}}$ ∼ TeV can be obtained with a NGB decay constant of order ∼ 5 TeV. We obtain a robust correlation between the main corrections to $$ {R}_{D^{\left(\ast \right)}} $$ $R_{D^{(*)}}$ , $$ {B}_{K^{\left(\ast \right)}\nu \nu} $$ $B_{K^{(*)} νν}$ and g _τ/g _μ, that leads to a sever bound on $$ {R}_{D^{\left(\ast \right)}} $$ $R_{D^{(*)}}$ , roughly 2σ below the experimental value. Besides the bounds on the flavor observables $$ {g}_{\tau}^W $$ $g_{τ}^{W}$ , BR(τ → μγ) and $$ \Delta {m}_{B_s} $$ $∆ m_{B_{s}}$ are saturated, with the first one requiring a coupling between resonances g _* ≲ 2, whereas the second one demands $$ {m}_{S_1} $$ $m_{S_{1}}$ ≳ 1.7 TeV, up to corrections of $$ \mathcal{O}(1) $$ $O (1)$ .
Cited by 1
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Cited by 6
- 8 May 2024
- Published by Springer Nature in Journal of High Energy Physics
Double Higgs production at the HL-LHC: probing a loop-enhanced model with kinematical distributions
by Leandro Da Rold, Manuel Epele, Anibal D. Medina, Nicolás I. Mileo, Alejandro Szynkman
We study di-Higgs production via gluon fusion at the high luminosity LHC in the presence of new physics, focusing on the $$b\overline{b }\gamma \gamma $$ final states. Taking a minimal set of three scalar leptoquarks (LQs) with cubic and quartic interactions with the Higgs and choosing four benchmark points with a light LQ, we perform a detailed analysis of differential distributions of the di-Higgs production cross section, studying the imprints of the new physics states running in the loops. Simulating the signal and main backgrounds, we study the influence of the new physics in differential distributions such as the invariant mass of the subsystems of final particles, the transverse momentum, and angular variables, finding in particular a resonance peak associated with the light LQ. It turns out that the angular separation of the photons, which is correlated with the resonance LQ peak, is a very sensitive observable that helps in discriminating the new physics signal from the Standard Model background. We find that for two of our benchmarks discovery could be reached with 3 ab⁻¹, whereas exclusion limits at 95% C.L. could be claimed with 0.60–0.75 ab⁻¹. For the other two benchmarks that have heavier LQ masses significances of order 2σ are possible for 3 ab⁻¹. A similar analysis could be applied to other loop-enhanced models.
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- 8 May 2024
- Published by Springer Nature in Journal of High Energy Physics
Open Access
Double Higgs production at the HL-LHC: probing a loop-enhanced model with kinematical distributions
by Leandro Da Rold, Manuel Epele, Anibal D. Medina, Nicolás I. Mileo, Alejandro Szynkman
We study di-Higgs production via gluon fusion at the high luminosity LHC in the presence of new physics, focusing on the $$b\overline{b }\gamma \gamma $$ final states. Taking a minimal set of three scalar leptoquarks (LQs) with cubic and quartic interactions with the Higgs and choosing four benchmark points with a light LQ, we perform a detailed analysis of differential distributions of the di-Higgs production cross section, studying the imprints of the new physics states running in the loops. Simulating the signal and main backgrounds, we study the influence of the new physics in differential distributions such as the invariant mass of the subsystems of final particles, the transverse momentum, and angular variables, finding in particular a resonance peak associated with the light LQ. It turns out that the angular separation of the photons, which is correlated with the resonance LQ peak, is a very sensitive observable that helps in discriminating the new physics signal from the Standard Model background. We find that for two of our benchmarks discovery could be reached with 3 ab⁻¹, whereas exclusion limits at 95% C.L. could be claimed with 0.60–0.75 ab⁻¹. For the other two benchmarks that have heavier LQ masses significances of order 2σ are possible for 3 ab⁻¹. A similar analysis could be applied to other loop-enhanced models.
Cited by 6
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- 24 April 2024
- Published by arXiv in arXiv
Double Higgs production at the HL-LHC: probing a loop-enhanced model with kinematical distributions
by Leandro Da Rold, Manuel Epele, Anibal D. Medina, Nicolás I. Mileo, Alejandro Szynkman
We study di-Higgs production via gluon fusion at the high luminosity LHC in the presence of new physics, focusing on the $b\bar bγγ$ final states. Taking a minimal set of three scalar leptoquarks (LQs) with cubic and quartic interactions with the Higgs and choosing four benchmark points with a light LQ, we perform a detailed analysis of differential distributions of the di-Higgs production cross section, studying the imprints of the new physics states running in the loops. Simulating the signal and main backgrounds, we study the influence of the new physics in differential distributions such as the invariant mass of the subsystems of final particles, the transverse momentum, and angular variables, finding in particular a resonance peak associated with the light LQ. It turns out that the angular separation of the photons, which is correlated with the resonance LQ peak, is a very sensitive observable that helps in discriminating the new physics signal from the Standard Model background. We find that for two of our benchmarks discovery could be reached with 3 ab$^{-1}$, whereas exclusion limits at 95% C.L. could be claimed with 0.60-0.75 ab$^{-1}$. For the other two benchmarks that have heavier LQ masses significances of order 2$σ$ are possible for 3 ab$^{-1}$. A similar analysis could be applied to other loop-enhanced models.
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- 24 April 2024
- Published by arXiv in arXiv
Open Access
Double Higgs production at the HL-LHC: probing a loop-enhanced model with kinematical distributions
by Leandro Da Rold, Manuel Epele, Anibal D. Medina, Nicolás I. Mileo, Alejandro Szynkman
We study di-Higgs production via gluon fusion at the high luminosity LHC in the presence of new physics, focusing on the $b\bar bγγ$ final states. Taking a minimal set of three scalar leptoquarks (LQs) with cubic and quartic interactions with the Higgs and choosing four benchmark points with a light LQ, we perform a detailed analysis of differential distributions of the di-Higgs production cross section, studying the imprints of the new physics states running in the loops. Simulating the signal and main backgrounds, we study the influence of the new physics in differential distributions such as the invariant mass of the subsystems of final particles, the transverse momentum, and angular variables, finding in particular a resonance peak associated with the light LQ. It turns out that the angular separation of the photons, which is correlated with the resonance LQ peak, is a very sensitive observable that helps in discriminating the new physics signal from the Standard Model background. We find that for two of our benchmarks discovery could be reached with 3 ab$^{-1}$, whereas exclusion limits at 95% C.L. could be claimed with 0.60-0.75 ab$^{-1}$. For the other two benchmarks that have heavier LQ masses significances of order 2$σ$ are possible for 3 ab$^{-1}$. A similar analysis could be applied to other loop-enhanced models.
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- 23 February 2024
- Published by arXiv in arXiv
Probing new physics with charge asymmetries in 2 same-sign leptons plus jets final states at the LHC
by Ernesto Arganda, Leandro Da Rold, Aurelio Juste, Anibal D. Medina, Rosa M. Sandá Seoane
We study the impact of new physics models in the charge asymmetry defined for LHC final states consisting of two same-sign leptons (2SS$l$, with $l= e, μ$) plus jets ($N_\text{jets}\geq2$), with a center-of-mass energy of $\sqrt{s}=13$ TeV, where the main SM contribution is $t\bar{t}W$ production. Concretely, we consider three different new physics sources for the charge asymmetries: a heavy neutral scalar/pseudoscalar arising from the general two Higgs doublet model, an effective theory with dimension-6 four-quark operators, and a simplified $R$-parity-violating supersymmetric model with electroweakino production (higgsino-like or wino-like). We propose measuring the charge asymmetries differentially with respect to several kinematic observables, and inclusively/exclusively with the number of $b$-tagged jets in the final state ($N_b\geq\{1, 2, 3\}$). Results are compared with the SM prediction using the $χ^2$ criteria, expressing sensitivity in terms of the normal Gaussian significance. We show that some of the proposed new physics scenarios can be probed at the LHC even for the already recorded integrated luminosity of 139 fb$^{-1}$. Finally, we also estimate the prospects for the potential LHC sensitivity to the considered new physics models in its high-luminosity phase.
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- 23 February 2024
- Published by arXiv in arXiv
Open Access
Probing new physics with charge asymmetries in 2 same-sign leptons plus jets final states at the LHC
by Ernesto Arganda, Leandro Da Rold, Aurelio Juste, Anibal D. Medina, Rosa M. Sandá Seoane
We study the impact of new physics models in the charge asymmetry defined for LHC final states consisting of two same-sign leptons (2SS$l$, with $l= e, μ$) plus jets ($N_\text{jets}\geq2$), with a center-of-mass energy of $\sqrt{s}=13$ TeV, where the main SM contribution is $t\bar{t}W$ production. Concretely, we consider three different new physics sources for the charge asymmetries: a heavy neutral scalar/pseudoscalar arising from the general two Higgs doublet model, an effective theory with dimension-6 four-quark operators, and a simplified $R$-parity-violating supersymmetric model with electroweakino production (higgsino-like or wino-like). We propose measuring the charge asymmetries differentially with respect to several kinematic observables, and inclusively/exclusively with the number of $b$-tagged jets in the final state ($N_b\geq\{1, 2, 3\}$). Results are compared with the SM prediction using the $χ^2$ criteria, expressing sensitivity in terms of the normal Gaussian significance. We show that some of the proposed new physics scenarios can be probed at the LHC even for the already recorded integrated luminosity of 139 fb$^{-1}$. Finally, we also estimate the prospects for the potential LHC sensitivity to the considered new physics models in its high-luminosity phase.

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