Abstract

Many models of physics beyond the Standard Model predict a strong first-order phase transition (SFOPT) in the early Universe that leads to observable gravitational waves (GWs). In this paper, we propose a novel method for presenting and comparing the GW signals that are predicted by different models. Our approach is based on the observation that the GW signal has an approximately model-independent spectral shape. This allows us to represent it solely in terms of a finite number of observables, that is, a set of peak amplitudes and peak frequencies. As an example, we consider the GW signal in the real-scalar-singlet extension of the Standard Model (xSM). We construct the signal region of the xSM in the space of observables and show how it will be probed by future space-borne interferometers. Our analysis results in sensitivity plots that are reminiscent of similar plots that are typically shown for dark-matter direct-detection experiments, but which are novel in the context of GWs from a SFOPT. These plots set the stage for a systematic model comparison, the exploration of underlying model-parameter dependencies, and the construction of distribution functions in the space of observables. In our plots, the experimental sensitivities of future searches for a stochastic GW signal are indicated by peak-integrated sensitivity curves. A detailed discussion of these curves, including fit functions, is contained in a companion paper [1].

Highlights

  • JHEP03(2020)004 three peak frequencies, {fb, fs, ft} and three peak amplitudes, {Ωpbeak, Ωps eak, Ωpt eak}, which respectively correspond to the three physical processes that source gravitational waves (GWs) during a strong first-order phase transition (SFOPT)

  • Our peak-integrated sensitivity curves (PISCs) method can be regarded as a quasianalytical solution to the problem of computing the signal-to-noise ratio (SNR) for the GW signal from a cosmological phase transition. Based on these five points, we argue that our PISC plots are well suited to illustrate the sensitivity of future experiments to the GW signal from a SFOPT

  • We proposed a novel method for visualizing and exploring the GW phenomenology of BSM models that result in a SFOPT in the early Universe

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Summary

Peak-integrated sensitivity curves

SFOPTs give rise to three independent sources of stochastic GWs, namely, due to collisions of scalar-field bubbles (b), sound waves in the bulk plasma (s), and vortical motion in the latter, i.e., magnetohydrodynamic turbulence (t). While eq (2.7) looks more complicated than eq (2.6) at first sight, it conveys an important message: for a given experiment and observation time, the SNR is uniquely determined by the peak energy densities and the corresponding peak frequencies, once the integrals in eq (2.8) have been carried out. These peak quantities only depend on the modelspecific SFOPT parameters, not on the GW frequency itself. We will illustrate this procedure and its applications in more detail in section 5, where we study the GW phenomenology of the xSM

Efficiencies of the different GW production mechanisms
Real-scalar-singlet extension of the Standard Model
Comparison with existing approaches
Conclusions and outlook
A Partial-wave analysis and unitarity bounds
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