Singular Spectrum Analysis of Fermi-LAT Blazar Light Curves
First published: 2025
Brief summary
Systematic search for 1-6 year periodicities in 12-year gamma-ray light curves of blazars, motivated by predictions for binary supermassive black hole systems.
Article
Singular Spectrum Analysis of Fermi-LAT Blazar Light Curves is a peer-reviewed journal article published by Astronomy & Astrophysics in 2025. It focuses on systematic search for 1-6 year periodicities in 12-year gamma-ray light curves of blazars, motivated by predictions for binary supermassive black hole systems.
Period range searched: 1-6 years. The data source is 12 years of Fermi-LAT gamma-ray observations (2008-2020). It also considers SSA decomposition method. This gives the cycle claim a specific numerical and evidential setting rather than presenting periodicity only as a visual impression.
The authors search for long-term periodicities in the range of 1-6 years using singular spectrum analysis, particularly relevant for binary supermassive black hole candidates in the gas-driven regime. The interpretation is strongest when it survives red-noise modelling, uneven sampling, spectral-window effects and correction for the number of frequencies searched.
For cycles researchers, the article brings together blazar periodicity, singular spectrum analysis, fermi-lat, gamma-ray light curves. It is relevant to the detection and interpretation of periodic signals in astronomical observations, where sampling, red noise and instrumental effects can imitate or obscure genuine cycles.
Because it is a peer-reviewed journal article, the article is a strong starting point for discussion in the Cosmology & Astronomy forum, although its conclusions should still be compared with later replications and updated datasets.
Source details and credits
- Source / publisher: Astronomy & Astrophysics
- Source type: Peer-reviewed journal article
- URL type: WWW
- Credits: Astronomy & Astrophysics
- URL: https://www.aanda.org/articles/aa/full_html/2025/05/aa52495-24/aa52495-24.html