A power spectrum approach to the search for Axion-like Particles from resolved galaxy clusters using CMB as a backlight
Abstract
Axions or ALPs are hypothetical particles predicted by BSM theories, which make one of the dark matter candidates. These particles can convert into photons and vice-versa in the presence of magnetic field, with a probability decided by its coupling strength . One of the ways to detect these particles is using the CMB as a backlight. As the CMB photons pass through a galaxy cluster, they can get converted into ALPs in the mass range eV to eV through resonant conversion in the presence of cluster magnetic fields. This leads to a polarized spectral distortion (-distortion) in the CMB as the photon polarization parallel to the magnetic field in the galaxy cluster is involved in the conversion. The fluctuations in the magnetic field and electron density in a galaxy cluster lead to spatially varying -distortion around the cluster, with a power spectrum that is different from the lensed CMB polarization power spectrum for the standard model of cosmology. By measuring the difference in the polarization power spectrum around a galaxy cluster from the all-sky signal, one can find new -distortion in the sky. For galaxy clusters resolvable in multiple EM bands, one can measure the coupling strength from the ALP power spectrum. Using multi-frequency techniques like ILC to clean the foregrounds, we show that the new power spectrum-based approach of the resolved galaxy clusters from upcoming CMB experiments such as Simons Observatory and CMB-S4 can detect (or put constraints) on the ALP-photon coupling strength of and at 95\% C.I. respectively for ALPs of masses eV or for smaller for lighter ALP masses (Abridged).
Keywords
Cite
@article{arxiv.2405.08878,
title = {A power spectrum approach to the search for Axion-like Particles from resolved galaxy clusters using CMB as a backlight},
author = {Harsh Mehta and Suvodip Mukherjee},
journal= {arXiv preprint arXiv:2405.08878},
year = {2024}
}
Comments
34 pages, 19 figures, 5 tables, Published in JCAP