Detecting Axion-like particles using Cosmic Variance Cancellation with CMB and Radio surveys
Harsh Mehta, Anaya Dixit, Suvodip Mukherjee, Joseph Silk

TL;DR
This paper proposes a novel method using cosmic variance cancellation with multi-frequency CMB and radio surveys to improve constraints on axion-like particles (ALPs), leveraging spectral signatures across different wavelengths and galaxy cluster observations.
Contribution
It introduces a new approach combining CMB and radio data with cosmic variance cancellation to enhance ALP detection sensitivity and constrain ALP parameters more effectively.
Findings
CVC significantly improves ALP signal ratio constraints.
Method enhances detection sensitivity for low-mass ALPs.
Auto-only spectra yield a standard deviation of 0.059, improved to 0.01 with CVC.
Abstract
Axions and axion-like particles (ALPs) arise naturally in many extensions of the Standard Model and are among the well-motivated candidates for dark matter. In the presence of magnetic fields of galaxy clusters, Cosmic Microwave Background (CMB) photons can convert to ALPs, with the efficiency of the process governed by the cluster electron density and magnetic field profiles, the photon--ALP coupling strength (), as well as the frequency () of the photon at the redshift of the cluster. The CMB blackbody spectrum suggests that this resonant conversion also takes place at radio wavelengths, following the spectral behaviour of the ALP distortion signal. This opens a new window to search for ALPs using cosmic variance cancellation (CVC), with multi-frequency tracers of the same phenomenon in CMB photon--ALP resonant conversion. The constraints on the ALP signal ratios…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Astrophysics and Cosmic Phenomena · Computational Physics and Python Applications
