Exploring gravitational waves from strong phase transitions
David J. Weir [they/he]
-
University of Helsinki
davidjamesweir@mementomori.social
This talk:
saoghal.net/slides/vast2026
VAST 2026, Madrid, 23 October 2026
What happened in the early universe?
before recombination?
in dark sectors?
First order phase transition
High temperatures: potential has one global minimum
Below $T_\mathrm{c}$, second minimum becomes global minimum
Nucleation temp. $T_\mathrm{n}$: ~ 1 bubble per causal volume
'Percolation' temp. $T_\mathrm{p}$: broken phase clusters join up
Summary: what happens?
Nucleation (temperatures $T_\mathrm{n}$→$T_\mathrm{p}$ , duration $\beta^{-1}$ )
Bubble walls expand in a plasma (at velocity $v_\mathrm{w}$ )
Reaction fronts form around walls (with strength $\alpha$ )
Detonations vs deflagrations
If the scalar field wall moves supersonically and the
fluid enters the wall at rest, we have a detonation
If the scalar field wall moves subsonically and the
fluid enters the wall at its maximum velocity, we have
a deflagration
Can also get a hybrid where the wall moves
supersonically but some fluid bunches up in front of it,
like a deflagration
What is a strong phase transition?
Plasma velocities become relativistic
⇒ flows quickly become nonlinear
Nonlinearities include:
shocks ➠ acoustic turbulence $t_{\mathrm{sh}} \sim R_* / U_{\parallel}$
vortices ➠ [vortical] turbulence $t_{\mathrm{ed}} \sim R_* / U_{\perp}$
(in reality hard to separate into two types)
Transport of energy to small scales ⇒ KE decay
Typically strong means $\alpha$ 'large'
(maybe better to focus on what the flows look like)
Simulating a phase transition
Simulate scalar field $\phi$ and relativistic (ideal) fluid $u^\mu$, with $\eta$ friction term (e.g. our SCOTTS code)
From $\partial_\mu T^{\mu\nu} = 0$:
$$ \begin{align}\partial_\mu T^{\mu\nu}_\phi & = + \eta(\phi, v_\mathrm{w}) u^\mu \partial_\mu \phi \partial^\nu \phi \\
\partial_\mu T^{\mu\nu}_\mathrm{f} & = - \eta(\phi, v_\mathrm{w})u^\mu \partial_\mu \phi \partial^\nu \phi \end{align}$$
Either directly evolve metric perturbations sourced by the fluid
$T_{ij}^\text{(f)} = w u_i u_j $ (from 0707.0839 ) ...
...or work with the velocity power spectrum.
Computing GWs in a simulation
Evolve harmonic-gauge, position-space wave equation:
$ \nabla^2 h_{ij} (\mathbf{x},t) -
\ddot{h}_{ij}(\mathbf{x},t) = 8 \pi G T_{ij}^\text{source}(\mathbf{x},t).$
Projection to TT-gauge requires expensive Fourier
transform, so
only project when measurement desired:
$ h^{\text{TT}}_{ij}(\mathbf{k},t_\text{meas}) = \Lambda_{ij,lm}(\hat{\mathbf{k}})
h^{lm}(\mathbf{k},t) $
Measure energy density or power spectrum $$ \rho_\text{GW}(t_\text{meas}) = \frac{1}{32
\pi G} \left< \dot{h}_{ij}^\text{TT} \dot{h}_{ij}^\text{TT} \right> $$
Redshift to present day.
Other simulation codes/approaches
Other hydro codes (e.g. Pencil code) arXiv:1903.08585
Can study nonlinear fluid motion after a transition
Can't study physics of the transition itself
Higgsless code arXiv:2010.00971 , arXiv:2209.04369 , arXiv:2409.03651
Bubble walls non-dynamical; swept through system
Energy is injected at the bubble walls according to the (bag model) equation of state
Cannot simulate slowing down of bubble walls
Other field+fluid codes include:
Sound shell model 1
$\alpha_n \ll 1$, $v_\mathrm{w} \ll 1$: sound waves are main GW source
Neglect nonlinear interactions between bubbles etc.
Also ignore later nonlinear motion in the fluid (i.e. shocks and turbulence)
Begin by obtaining the fluid velocity profile around the bubble wall, as a function of $\xi = r/t$,
Sound shell model 2
arXiv:1608.04735 ; arXiv:1909.10040
Velocity power spectrum $P_v(f)$ from superposing random spherical shells with scaled profile $v(\xi)$
Convolve $P_v(f)$ with itself and integrate over time to get GW power spectrum
PTtools for fluid profiles/SSM
By Mika Mäki
pip-installable python package; Numba + JAX support
Everything (with sensible defaults) in 5+5 lines:
from pttools.ssm import NucType
from pttools.bubble import Bubble
from pttools.models import BagModel
from pttools.omgw0 import Spectrum
import matplotlib.pyplot as plt
model = BagModel(alpha_n_min=0.01)
bubble = Bubble(model, v_wall=0.5, alpha_n=0.2)
spectrum = Spectrum(bubble, nuc_type=NucType.EXPONENTIAL, r_star=0.1)
spectrum_fig = spectrum.plot_multi()
plt.savefig('spectrum_fig.pdf')
(makes a set of four plots like on the previous slide)
github.com/CFT-HY/pttools
Survey of ansätze 1
Single broken power law from 'CosWG20' arXiv:1910.13125 :
$$ \begin{multline} \Omega_\text{gw}(f) = \Omega_\text{gw, comm} \\ \times 0.687 \cdot \underbrace{\mathrm{min}(H_*\tau_\text{sh},1) (H_*R_*)}_{\text{life time} \times \text{coherence time}} C(f/f_\text{peak})
\end{multline} $$
where
$\Omega_\text{gw, comm} = 3 \textcolor{red}{F_\text{gw,0}} \textcolor{blue}{K^2} \textcolor{purple}{\tilde{\Omega}_\text{gw}}$ combines:
dilution $\textcolor{red}{F_\text{gw,0}}$, PT efficiency $\textcolor{blue}{K^2}$, GW efficiency $\textcolor{purple}{\tilde{\Omega}_\text{gw}}$
Spectral shape
$ C(s) = s^3 \left(\frac{7}{4 + 3 s^2}\right)^{\frac{7}{2}} $ i.e. $f^3 \to f^{-1}$
'Inspired by' simulations arXiv:1704.05871
Survey of ansätze 2
Double broken power law from 'GH21' arXiv:2106.05984 :
$$ C(s) = s^9 \left( \frac{1+ r_b^4}{r_b^4 + s^4}\right)^{\frac{9-b}{4}}\left( \frac{b + 4}{b + 4 -m + ms^2}\right)^{\frac{b+4}{2}} $$
$f^9 \to f^b \to f^{-4}$ with peaks at $s=1$ and $s=r_b$
$m$ chosen such that $C(1) = 1$ for $r_b < 1$
$r_b$ and $b$ chosen by fitting to SSM results
Different DBPL in arXiv:2403.03723 ('CosWG24')
How strong a phase transition do you need to see something at LISA?
(Assuming double broken power law ansatz)
arXiv:2106.05984
$r_* = H_* R_*$ (ratio of bubble to Hubble)
SNR
But: is a double broken power law valid when $\alpha$ is big?
Ansätze vs. simulation results 1
Courtesy Mika Mäki
Ansätze vs. simulation results 2
Courtesy Mika Mäki
Strong phase transition comparisons
Instantaneous GW production rate: arXiv:2505.17824
Detonation, $v_\mathrm{w} = 0.92$, $\alpha = 0.67$
Deflagration, $v_\mathrm{w} = 0.44$, $\alpha = 0.5$
Sound shell model overestimates, gets wrong shape
Convolving fluid velocity power spectrum is better
Fluid velocity power $\mathcal{P}_U$
Separated into $\mathcal{P}_{U_\parallel}$ and $\mathcal{P}_{U_\perp}$ (enthalpy-weighted $u^\mu$)
Detonation, $v_\mathrm{w} = 0.92$, $\alpha = 0.67$ Vortical $\ll$ compressional
Deflagration, $v_\mathrm{w} = 0.44$, $\alpha = 0.5$
Vortical $\sim$ compressional for some $k R_*$
Compressional modes
Shocks
⬇︎ ⬇︎ ⬇︎ KE decay
⬇︎ ⬇︎ ⬇︎ KE decay
Kinetic energy decay
$U_\parallel = U_\parallel^\text{max}\left[1 + \Delta t/t_*\right]^{-\zeta/2}$; the prediction is $\zeta \approx 10/7$ from 2407.05826
Detonation, $v_\mathrm{w} = 0.92$, $\alpha = 0.67$
Deflagration, $v_\mathrm{w} = 0.44$, $\alpha = 0.5$
$\zeta = 1.48 \approx 10/7$
$\zeta = 0.86$
Higgsless:
$\zeta \approx 10/7$ for deflagrations too 2409.03651
Could metastable phase heating be responsible?
GW saturation
Asymptotic $\Omega_\text{gw}(t) = \Omega_\text{gw}^\infty \left[ 1- \left(\Delta t/t_*\right)^{-d}\right]$
Detonation
$v_\mathrm{w} = 0.92$, $\alpha = 0.67$
Deflagration
$v_\mathrm{w} = 0.44$, $\alpha = 0.5$
Can thus determine a dimensionless final 'efficiency' factor for GW production $\tilde{\Omega}_\text{gw}^\infty \approx 0.017$.
$d \approx 0.61$
$d \approx 0.79$
Compare velocity components
$P_\perp/P_\parallel$ for deflagration ($\alpha=0.5$, $v_\mathrm{w}=0.44$).
Higgsless sees a lot less rotational power
$\Rightarrow$ Vorticity generated during transition 1906.00480 etc.
Next: "deep field" ➢ "wide field"
Scan in $v_\mathrm{w}$, $\alpha$, $R_*$, ... – here is a sample:
Including hybrids!
A plug
We are organising a COST action titled 'HIPPO' (HIggs Pairs and POtential). Topics will include:
Complementarity between collider physics and gravitational wave cosmology
Improving the accuracy of predictions of stochastic cosmological backgrounds from BSM physics
Providing public tools to analyse data
Sharing expertise collider physics ⇋ GWs/cosmology (e.g. machine learning)
Conclusions
We have extended our earlier simulation-based studies to strong phase transitions
Even with various phenomenological corrections, ansätze do not work well for strong transitions
See evidence for turbulent motion in both compressional and longitudinal modes
For strong phase transitions with short duration compared to Hubble damping, can extrapolate $\Omega_\text{gw}^\infty$
And a question to get you started:
Is there any evidence of non-Gaussianity?