Primordial magnetic field from chiral plasma instability with sourcing
Murman Gurgenidze, Andrew J. Long, Alberto Roper Pol, Axel Brandenburg, Tina Kahniashvili
TL;DR
This paper shows that a chirality source can enable the chiral plasma instability (CPI) to generate a primordial helical magnetic field even when chirality-erasing processes would, in standard scenarios, suppress CPI below $80\,\mathrm{TeV}$. By formulating chiMHD with a time-dependent chirality source and washout, the authors derive analytic evolution for the chiral chemical potential and magnetic helicity, and validate these results with high-resolution numerical simulations using the Pencil Code. They predict the resulting magnetic helicity $h_M$ and the characteristic CPI scales in the presence of sourcing, finding good agreement between the analytic estimate $h_M \approx \frac{\sqrt{e}\tilde{\bar{S}}_5}{\lambda t_\phi \Gamma_5^2}$ and the simulated value. The findings suggest that chirality sourcing during baryogenesis or related out-of-equilibrium processes could seed cosmological magnetic fields during the electroweak or QCD epochs, potentially impacting galactic dynamos and cosmological observables.
Abstract
In an electron-positron plasma, an imbalance in the number of right- and left-chiral particles can lead to the growth of a helical magnetic field through a phenomenon called the chiral plasma instability (CPI). In the early universe, scattering reactions that violate chirality come into thermal equilibrium when the plasma cools below a temperature of approximately $80 \, \mathrm{TeV}$. Since these reactions tend to relax any pre-existing chiral asymmetry to zero as the system approaches equilibrium, the standard lore is that primordial magnetogenesis via the CPI is not viable below $80 \, \mathrm{TeV}$. In this work, we propose that the presence of a source for chirality can allow the CPI to operate even below $80 \, \mathrm{TeV}$, we explore the implications of this scenario, and we derive predictions for the resultant magnetic field helicity using a combination of analytical methods and direct numerical simulation.
