The full contribution of a stochastic background of magnetic fields to CMB anisotropies
Daniela Paoletti, Fabio Finelli, Francesco Paci
TL;DR
This paper analyzes how a stochastic background of primordial magnetic fields, modeled with a power-law spectrum $P_B(k)=A(k/k_*)^{n_B}$ and damping at $k_D$, sources scalar, vector, and tensor metric perturbations through the magnetic energy–momentum tensor. It derives exact Fourier spectra for the EMT components, implements them in a CAMB-based code, and computes the resulting CMB temperature and polarization spectra, showing that scalar perturbations dominate TT at low to intermediate $\ell$ while vector perturbations dominate at high $\ell$, with tensor contributions consistently subdominant. The vector $B$-mode signature peaks around $\ell\sim 2000$ and can exceed lensing-induced $B$ modes for certain PMF amplitudes, offering a potential observational handle on PMFs. The analysis broadens previous work by treating more $n_B$ values (including $n_B=-5/2$), providing exact convolution integrals for the EMT spectra, and quantifying the distinct imprints of PMFs on CMB anisotropies, with implications for Planck and future experiments.
Abstract
We study the contribution of a stochastic background (SB) of primordial magnetic fields (PMF) on the anisotropies in temperature and polarization of the cosmic microwave background radiation (CMB). A SB of PMF modelled as a fully inhomogeneous component induces non-gaussian scalar, vector and tensor metric linear perturbations. We give the exact expressions for the Fourier spectra of the relevant energy-momentum components of such SB, given a power-law dependence parametrized by a spectral index $n_B$ for the magnetic field power spectrum cut at a damping scale $k_D$. For all the values of $n_B$ considered here, the contribution to the CMB temperature pattern by such a SB is dominated by the scalar contribution and then by the vector one at higher multipoles. We also give an analytic estimate of the scalar contribution to the CMB temperature pattern.
