Viable μNMSSM regions can fit the 95 GeV diphoton/bb anomalies and produce H→hhs and A2→hA1→4b cascades near the 650 and (600,400) GeV CMS structures.
Vevacious: A Tool For Finding The Global Minima Of One-Loop Effective Potentials With Many Scalars
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
abstract
Several extensions of the Standard Model of particle physics contain additional scalars implying a more complex scalar potential compared to that of the Standard Model. In general these potentials allow for charge and/or color breaking minima besides the desired one with correctly broken SU(2)_L times U(1)_Y . Even if one assumes that a metastable local minimum is realized, one has to ensure that its lifetime exceeds that of our universe. We introduce a new program called Vevacious which takes a generic expression for a one-loop effective potential energy function and finds all the tree-level extrema, which are then used as the starting points for gradient-based minimization of the one-loop effective potential. The tunneling time from a given input vacuum to the deepest minimum, if different from the input vacuum, can be calculated. The parameter points are given as files in the SLHA format (though is not restricted to supersymmetric models), and new model files can be easily generated automatically by the Mathematica package SARAH. This code uses HOM4PS2 to find all the minima of the tree-level potential, PyMinuit to follow gradients to the minima of the one-loop potential, and CosmoTransitions to calculate tunneling times.
citation-role summary
background 2
citation-polarity summary
fields
hep-ph 5years
2026 5roles
background 2representative citing papers
HydroGrav code computes self-similar fluid profiles and GW spectra using exact EOS from effective potentials for EWPT models, identifying parameter regions in a Z2 SM extension where simplified EOS differ in amplitude and shape, with LISA SNR estimates.
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.
TransitionListener v2.0 supplies an end-to-end pipeline from scalar potential to gravitational wave spectra with improved handling of transition dynamics and bubble separation.
Global analysis constrains fermionic DM to 120-350 GeV and CP-odd scalar to 350-600 GeV in a scotogenic extension, with DESI potentially ruling out inverted neutrino hierarchy and Z invisible width compatible with data at 3 sigma.
citing papers explorer
-
Interpreting Light Scalar Excesses and Heavy Scalar Cascades in the $\mu$-Term Extended NMSSM
Viable μNMSSM regions can fit the 95 GeV diphoton/bb anomalies and produce H→hhs and A2→hA1→4b cascades near the 650 and (600,400) GeV CMS structures.
-
HydroGrav: Precise hydrodynamics and gravitational waves for cosmological phase transitions
HydroGrav code computes self-similar fluid profiles and GW spectra using exact EOS from effective potentials for EWPT models, identifying parameter regions in a Z2 SM extension where simplified EOS differ in amplitude and shape, with LISA SNR estimates.
-
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.
-
TransitionListener v2.0 -- Robust gravitational wave predictions for cosmological phase transitions
TransitionListener v2.0 supplies an end-to-end pipeline from scalar potential to gravitational wave spectra with improved handling of transition dynamics and bubble separation.
-
Global analysis of a minimally extended scotogenic model
Global analysis constrains fermionic DM to 120-350 GeV and CP-odd scalar to 350-600 GeV in a scotogenic extension, with DESI potentially ruling out inverted neutrino hierarchy and Z invisible width compatible with data at 3 sigma.