Improving Statistical Sensitivity of X-ray Searches for Axion-Like Particles
arXiv:1808.05916 · doi:10.1093/mnras/stz211
Abstract
X-ray observations of bright AGNs in or behind galaxy clusters offer unique capabilities to constrain axion-like particles (ALPs). Existing analysis technique rely on measurements of the global goodness-of-fit. We develop a new analysis methodology that improves the statistical sensitivity to ALP-photon oscillations by isolating the characteristic quasi-sinusoidal modulations induced by ALPs. This involves analysing residuals in wavelength space allowing the Fourier structure to be made manifest as well as a machine learning approach. For telescopes with microcalorimeter resolution, simulations suggest these methods give an additional factor of two in sensitivity to ALPs compared to previous approaches.
8 pages, 4 figures
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Cited by in corpus (9)
- Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data
- The Fourier formalism for relativistic axion-photon conversion, with astrophysical applications
- Axions: From Magnetars and Neutron Star Mergers to Beam Dumps and BECs
- On the origin and the detection of characteristic axion wiggles in photon spectra
- Updated Bounds on Axion-Like Particles from X-ray Observations
- Accelerating the search for Axion-Like Particles with machine learning
- Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion
- Physics Beyond the Standard Model with Future X-ray Observatories: Projected Constraints on Very-Light Axion-Like Particles with and
- How do Magnetic Field Models Affect Astrophysical Limits on Light Axion-like Particles? An X-ray Case Study with NGC 1275