Applies high-T dimensional reduction for the first time to a classically scale-invariant model, computes NLO nucleation rate via determinants, and predicts LISA-detectable GW from supercooled PT in SU(2)cSM.
Reconstructing physical pa- rameters from template gravitational wave spectra at LISA: first order phase transitions,
4 Pith papers cite this work. Polarity classification is still indexing.
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hep-ph 4representative citing papers
A realistic Taiji-like analysis recovers an injected complex-singlet phase-transition gravitational-wave signal at relative SNR ≈ 53 with ln BF ≈ 11.6, and maps the spectrum posterior onto the Higgs cubic self-coupling deviation δκ3.
Using simulated Taiji data, the authors show that a stochastic gravitational-wave signal from an electroweak phase transition in the singlet-extended Standard Model can constrain the Higgs cubic and quartic self-couplings.
Simulations show TianQin and LISA can reconstruct the dimension-six model parameter Λ to sub-percent statistical precision for strong signals using Fisher, Bayesian sampling, and machine learning on data with noise and foregrounds.
citing papers explorer
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Theoretical consistency and phenomenology of supercooled cosmological phase transitions
Applies high-T dimensional reduction for the first time to a classically scale-invariant model, computes NLO nucleation rate via determinants, and predicts LISA-detectable GW from supercooled PT in SU(2)cSM.
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Bayesian analysis of the complex singlet model with phase transition gravitational waves
A realistic Taiji-like analysis recovers an injected complex-singlet phase-transition gravitational-wave signal at relative SNR ≈ 53 with ln BF ≈ 11.6, and maps the spectrum posterior onto the Higgs cubic self-coupling deviation δκ3.
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Measuring gravitational wave spectrum from electroweak phase transition and Higgs self-couplings
Using simulated Taiji data, the authors show that a stochastic gravitational-wave signal from an electroweak phase transition in the singlet-extended Standard Model can constrain the Higgs cubic and quartic self-couplings.
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Model Parameter Reconstruction of Electroweak Phase Transition with TianQin and LISA: Insights from the Dimension-Six Model
Simulations show TianQin and LISA can reconstruct the dimension-six model parameter Λ to sub-percent statistical precision for strong signals using Fisher, Bayesian sampling, and machine learning on data with noise and foregrounds.