Ponente
Descripción
Blazars show variability across the entire electromagnetic spectrum and over a wide range of timescales. In some cases, characteristic emission patterns have been observed, such as the multi-year modulation detected in PG 1553+113. Quasi-periodic oscillations (QPOs) can arise from various astrophysical mechanisms, including jet precession, accretion disk instabilities, and supermassive binary black holes (SMBBHs). While the latter is a particularly compelling possibility, potentially linking galaxy mergers and gravitational wave progenitors to jet physics, the other scenarios also offer valuable information about the physical processes governing blazar variability, which remain poorly understood. In this work, we apply Singular Spectrum Analysis (SSA) to a large sample of Fermi-LAT blazars to systematically search for QPOs. SSA decomposes the signal into trend, oscillatory, and noise components, allowing robust detection of periodic features and construction of forecasting models. We identify 46 QPO candidates, including 25 previously unreported, representing the largest sample to date and enabling the first steps toward population-level statistical analyses of these phenomena. By identifying promising candidates and exploring their relevance within the broader context of multi-messenger astrophysics, this study establishes a foundation for future investigations into the physical origins of blazar variability and the potential connection to gravitational wave sources.
