Numerical polology framework samples coupling space to discover ghost-free tensor field theories up to rank three for cosmology, then applies resulting priors to black hole superradiance, dynamical dark energy, and GW data.
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abstract
SARAH is a Mathematica package for building and analyzing supersymmetric models. SARAH just needs the gauge structure, particle content and superpotential to produce all information about the gauge eigenstates of a model. Breaking of gauge symmetries and mixings of particles can easily be in a second step and entire Lagrangian is derived automatically. Also the gauge fixing terms are derived by SARAH in R_Xi gauge, and the corresponding ghost interactions are calculated. Using this information, SARAH can calculate the all mass matrices, tadpole equations and vertices at tree-level for the given model. In addition, the expressions for the 1- and 2-loop renormalization group equations of all parameters can be calculated and an automatic calculation for the 1-loop corrections to self energies and the tadpoles are possible. SARAH can write all information about the model to LaTeX files, or create a model files for FeynArts/FormCalc, WHIZARD/OMEGA and CalcHep/CompHep, which can also be used for dark matter studies using MicrOmegas, and in the UFO format which is supported by MadGraph 5. Beginning with version 3, SARAH is also the first available spectrum-generator-generator: based on the derived, analytical expression it creates source code for SPheno to calculate the mass spectrum as well the SUSY decays with high precision. In that way, it is possible to implement new models in SPheno without the need to write any Fortran code by hand. Already many models beyond the MSSM are included in the public version of SARAH and the implementation of new models is easy and straightforward.
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representative citing papers
An open-source framework that automates BSM Lagrangian construction, anomaly checks, and mass-matrix derivation from natural-language field specifications by using an LLM only as an orchestration layer over a deterministic symbolic backend.
Non-holomorphic terms enable t-b-τ Yukawa unification in minimal GMSB for μ>0, producing solutions with Higgs-mass consistency, charginos as light as 120 GeV, and staus around 600 GeV that are testable via lifetime and compressed-spectra searches.
MCMC scan of bilinear RPV SUSY parameters constrained by neutrino data yields branching ratios that set LHC exclusions of wino-like χ̃1±/χ̃10 up to 565 GeV now and 950 GeV at HL-LHC for the best-fit point.
BSMArt version 2 adds new scanning algorithms including Affine MC, MLScanner, and CMA-ES variants to simplify and accelerate parameter space exploration in new physics models, demonstrated on soft lepton excess searches at the LHC.
Viable regions in the μNMSSM accommodate the 95 GeV excesses within 2σ and allow heavy CP-even and CP-odd scalars to produce cascades close to current CMS sensitivity.
Jarvis-HEP introduces a YAML-based Python framework for composing workflows and performing parameter scans in high-energy physics.
Constrained by lepton and B-physics data, the minimal R-symmetric SUSY model predicts the B^0_d to mu tau branching ratio four orders below future sensitivity.
A primer that surveys the architecture, methodologies, computational challenges, and future trajectory of the Monte Carlo event generator ecosystem in collider physics.
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Numerical polology: towards next-generation model-building for cosmology
Numerical polology framework samples coupling space to discover ghost-free tensor field theories up to rank three for cosmology, then applies resulting priors to black hole superradiance, dynamical dark energy, and GW data.
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Large Language Model-Assisted Framework for BSM Model Building
An open-source framework that automates BSM Lagrangian construction, anomaly checks, and mass-matrix derivation from natural-language field specifications by using an LLM only as an orchestration layer over a deterministic symbolic backend.
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Non-Holomorphic Impact on $t-b-\tau$ Yukawa Unification in minimal GMSB
Non-holomorphic terms enable t-b-τ Yukawa unification in minimal GMSB for μ>0, producing solutions with Higgs-mass consistency, charginos as light as 120 GeV, and staus around 600 GeV that are testable via lifetime and compressed-spectra searches.
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Complementary probes of Bilinear RPV SUSY models with a wino-like LSP via Neutrino Oscillation and LHC
MCMC scan of bilinear RPV SUSY parameters constrained by neutrino data yields branching ratios that set LHC exclusions of wino-like χ̃1±/χ̃10 up to 565 GeV now and 950 GeV at HL-LHC for the best-fit point.
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BSMArt 2: simpler and faster parameter space scans
BSMArt version 2 adds new scanning algorithms including Affine MC, MLScanner, and CMA-ES variants to simplify and accelerate parameter space exploration in new physics models, demonstrated on soft lepton excess searches at the LHC.
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Interpreting Light Scalar Excesses and Heavy Scalar Cascades in the $\mu$-Term Extended NMSSM
Viable regions in the μNMSSM accommodate the 95 GeV excesses within 2σ and allow heavy CP-even and CP-odd scalars to produce cascades close to current CMS sensitivity.
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Jarvis-HEP: A lightweight Python framework for workflow composition and parameter scans in high-energy physics
Jarvis-HEP introduces a YAML-based Python framework for composing workflows and performing parameter scans in high-energy physics.
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Rare B meson decays in the Minimal R-symmetric Supersymmetric Standard Model
Constrained by lepton and B-physics data, the minimal R-symmetric SUSY model predicts the B^0_d to mu tau branching ratio four orders below future sensitivity.
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The Monte Carlo Ecosystem in High-Energy Physics: A Primer
A primer that surveys the architecture, methodologies, computational challenges, and future trajectory of the Monte Carlo event generator ecosystem in collider physics.