The Benefits of Diligence: How Precise are Predicted Gravitational Wave Spectra in Models with Phase Transitions?
Huai-Ke Guo, Kuver Sinha, Daniel Vagie, Graham White

TL;DR
This paper assesses the accuracy of gravitational wave spectrum predictions from particle physics models with phase transitions, emphasizing the importance of detailed modeling to reduce uncertainties in future detector signals.
Contribution
It introduces a hierarchy of computational diligence levels for phase transition dynamics and evaluates their impact on gravitational wave predictions across multiple models.
Findings
Higher diligence levels significantly alter predicted signals, sometimes by orders of magnitude.
Current models may underestimate uncertainties without detailed phase transition treatment.
Careful modeling is essential for reliable constraints on particle physics models from gravitational wave data.
Abstract
Models of particle physics that feature phase transitions typically provide predictions for stochastic gravitational wave signals at future detectors and such predictions are used to delineate portions of the model parameter space that can be constrained. The question is: how precise are such predictions? Uncertainties enter in the calculation of the macroscopic thermal parameters and the dynamics of the phase transition itself. We calculate such uncertainties with increasing levels of sophistication in treating the phase transition dynamics. Currently, the highest level of diligence corresponds to careful treatments of the source lifetime; mean bubble separation; going beyond the bag model approximation in solving the hydrodynamics equations and explicitly calculating the fraction of energy in the fluid from these equations rather than using a fit; and including fits for the energy…
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