A Comprehensive Power Spectral Density Analysis of Astronomical Time Series. II. The Swift/BAT Long Gamma-Ray Bursts
Mariusz Tarnopolski, Volodymyr Marchenko

TL;DR
This study analyzes the power spectral densities of long gamma-ray bursts from Swift/BAT, classifies their spectral types, finds prevalent long-term memory, and reports 34 new quasi-periodic oscillations, shedding light on their underlying physical processes.
Contribution
It provides a comprehensive PSD classification of GRB light curves, introduces novel time-domain analyses, and reports new QPO detections, advancing understanding of GRB temporal structures.
Findings
PSDs fall into three categories: power law, power law with Poisson noise, and broken power law.
93% of GRBs show long-term memory with Hurst exponent > 0.5.
34 new QPOs detected, indicating characteristic time scales in GRB emission.
Abstract
We investigated the prompt light curves (LCs) of long gamma-ray bursts (GRBs) from the Swift/BAT catalog. We aimed to characterize their power spectral densities (PSDs), search for quasiperiodic oscillations (QPOs), and conduct novel analyses directly in the time domain. We analyzed the PSDs using Lomb-Scargle periodograms, and searched for QPOs using wavelet scalograms. We also attempted to classify the GRBs using the Hurst exponent, , and the plane. The PSDs fall into three categories: power law (PL; ) with index , PL with a non-negligible Poisson noise level (PLC) with , and a smoothly broken PL (SBPL; with Poisson noise level) yielding high-frequency index . The latter yields break time scales on the order of 1--100\,seconds. The PL and PLC models are broadly consistent with a fully…
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