A Generalized Algorithmic Framework for Detecting Faraday Rotation Measure Flares in Repeating Fast Radio Bursts
Yuan-Pei Yang, Boyang Liu

TL;DR
This paper introduces a robust algorithmic framework for detecting Faraday rotation measure flares in repeating fast radio bursts, enabling a uniform analysis of environmental variability across the FRB population.
Contribution
The authors develop a generalized, statistically robust pipeline for automated detection and characterization of RM flares in FRBs, facilitating a systematic census of environmental changes.
Findings
High-confidence RM flares are rare among the studied FRBs.
FRB 20220529A shows a significant RM flare, unlike other repeaters.
Most repeaters exhibit intrinsic fluctuations or secular evolution rather than discrete flares.
Abstract
Variations in the Faraday rotation measure (RM) of repeating fast radio bursts (FRBs) provide critical diagnostics of the dynamically evolving magneto-ionic environments surrounding their progenitors. Sudden, transient ``RM flares'' can trace the passage of discrete magneto-ionic structures, such as stellar coronal mass ejections from the companion or other dense plasma clumps, across the line of sight. However, identifying these rare events is difficult because RM evolution manifests a wide range of complex behaviors, from smooth, long-term trends to chaotic stochasticity, further complicated by highly non-uniform temporal sampling. This complexity makes it a non-trivial challenge to distinguish localized physical flares from intrinsic environmental volatility. We present a generalized algorithmic framework that establishes a statistically robust methodology for the automated detection…
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