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Putting the Brakes on Axion Strings: Friction and Its Impact on the QCD Axion Abundance

Anson Hook, Rajrupa Mondal, Shourya Mukherjee

Abstract

A compelling production mechanism for QCD axion dark matter is from the scaling dynamics of early universe axion strings. We show that in DFSZ-like models containing tree-level interactions between fermions and the axion, friction between the thermal bath and the axion string drastically changes the behavior of the axion string network for lower $f_a$ values. Friction delays the onset of scaling and increases the energy density of axions. Once the effects of friction are included, we argue that in addition to the standard value of $m_a \sim$ meV, $m_a \sim 0.1$ eV also reproduces the dark matter energy density.

Putting the Brakes on Axion Strings: Friction and Its Impact on the QCD Axion Abundance

Abstract

A compelling production mechanism for QCD axion dark matter is from the scaling dynamics of early universe axion strings. We show that in DFSZ-like models containing tree-level interactions between fermions and the axion, friction between the thermal bath and the axion string drastically changes the behavior of the axion string network for lower values. Friction delays the onset of scaling and increases the energy density of axions. Once the effects of friction are included, we argue that in addition to the standard value of meV, eV also reproduces the dark matter energy density.
Paper Structure (16 sections, 92 equations, 4 figures)

This paper contains 16 sections, 92 equations, 4 figures.

Figures (4)

  • Figure 1: Impact of friction on the ratio of axion abundance as computed by the loop-based estimator Eq. \ref{['eq:n_radiation']}. The shaded band shows the variation in the nuisance parameter $\alpha$ that sets the friction-limited critical loop size $\ell^K_{\rm crit} = \alpha\,\ell_f$, with $\alpha \in [1,10]$, while the solid curve corresponds to $\alpha = 2\pi$. We fix the loop emission coefficient to $\Gamma_a = 50$ and the loop fraction to $f_{\rm loop} = 0.25$. Different colors correspond to the infrared spectral cutoff $x_{\rm IR} = 30,50,100$. In the friction-limited regime at small $f_a$, the predicted axion abundance is essentially independent of $x_{\rm IR}$, whereas in the relativistic scaling regime at large $f_a$ the choice of $x_{\rm IR}$ sets the location of the $\Omega_r \simeq 1$ crossing, which lies in the range $f_a \sim 3\times 10^{10}\text{--}10^{11}\,\mathrm{GeV}$ in agreement with Refs. Buschmann:2021sdqBenabou:2024msj. The dashed lines show the corresponding predictions when friction is neglected; including friction enhances the axion abundance by a factor of $\sim 10^1\text{--}10^4$, depending on the value of $f_a$ within the friction-dominated regime.
  • Figure 2: Dependence of the relic abundance ratio $\Omega_r$ (defined as Eq. \ref{['eq:OmegaR_DM_here']}) on the spectral index $q$ for four benchmark decay constants chosen to sample the scaling regime $f_a = 10^{10},\,10^{11}\,\mathrm{GeV}$ and the friction-dominated regime $f_a = 10^{7},\,10^{8}\,\mathrm{GeV}$. The solid lines correspond to the reference choice $\alpha=4$, while the shaded bands show the variation over $\alpha\in[1,10]$. The horizontal dashed line marks $\Omega_r=1$. The curves quickly approach a plateau for $q\gtrsim 1$, indicating that once the spectrum is mildly IR-weighted the abundance is set primarily by the IR cutoff rather than the detailed tilt. For larger $f_a$, the emission is in the scaling regime, where the infrared cutoff saturates to $x_{\rm IR}$ as in Eq. \ref{['eq:xmin_scaling']}, so the result is independent of $\alpha$.
  • Figure 3: The relic abundance ratio $\Omega_r$ (defined in Eq. \ref{['eq:OmegaR_DM_here']}) as a function of $f_a$, computed using the spectrum-based estimator for an IR-dominated spectrum ($q \gg$1). The solid curve shows the benchmark value $\alpha=4$, while the shaded band shows the variation over $\alpha \in [1,10]$. The three curves labeled $x_{\rm IR} = 5,10,30$ illustrate that in the friction-limited Kibble regime at low $f_a$, the result is essentially independent of $x_{\rm IR}$, while $x_{\rm IR}$ controls the intercept of the high-$f_a$ scaling branch. The phenomenologically relevant information is the location of the $\Omega_r \simeq 1$ crossings: the high-$f_a$ solution at $f_a \sim \mathrm{few}\times 10^{9}\,\mathrm{GeV}$ in agreement with Ref. Gorghetto:2018mykGorghetto:2020qws (with $q>2$) and novel second crossing at $f_a \sim \mathrm{few}\times 10^{8}\,\mathrm{GeV}$, arising from the friction-enhanced axion yield. The dashed lines show the estimate obtained when friction is neglected, while including friction enhances $\Omega_r$ by a factor of order $10$ over much of the friction-dominated regime. For such IR-dominated spectra, the subsequent nonlinearity of the axion potential (discussed in Sec. \ref{['sec:dilution']}) will further modify the final abundance (cf. Fig. \ref{['fig:dilution']}).
  • Figure 4: Impact of the post-oscillation dilution on the relic abundance ratio $\Omega_r$ for the IR-dominated spectral estimator with $q\gtrsim2$. The orange band show the result obtained without applying the dilution between $t_{\rm osc}$ and $t_\ell$, while the red band include this effect. The central lines correspond to the reference choice $\alpha = 4$, and the shaded bands span $\alpha \in [1,10]$. Including the dilution suppresses the abundance at smaller $f_a$, reducing the low-$f_a$ branch from $\Omega_r > 1$ to a value of order unity, and shifts the high-$f_a$$\Omega_r \simeq 1$ crossing to larger $f_a \lesssim 10^{10}\,\mathrm{GeV}$, in agreement with Ref. Gorghetto:2020qws. For the numerical coefficients entering the dilution, we use the simulation-based values of Ref. Gorghetto:2020qws, $c_m = 2.08$, $c_V = 0.13$, and $c_n = 1.35$.