The bicoherence analysis of type C quasi-periodic oscillations in Swift J1727.8-1613
Haifan Zhu, Wei Wang, Ziyuan Zhu

TL;DR
This study uses bicoherence analysis on Swift J1727.8-1613's 2023 outburst data to characterize type C QPOs, revealing energy-dependent patterns and correlations with spectral hardness, and suggesting a low-inclination system.
Contribution
It introduces a detailed bicoherence analysis of type C QPOs in Swift J1727.8-1613, identifying new patterns and energy-dependent features not previously documented.
Findings
Type C QPOs are confirmed in the source.
A new 'parallel' bicoherence pattern is identified in 10-20 keV band.
Energy-dependent transition from 'web' to 'hypotenuse' pattern observed.
Abstract
We present the results of bicoherence analysis for Swift J1727.8-1613 during its 2023 outburst, using data from Insight-HXMT. Our analysis focused on observations with quasi-periodic oscillations (QPOs) of frequencies greater than 1 Hz, revealing that all of them belong to type C QPOs. We found a strong correlation between the QPO frequency and the hardness ratio, as well as a linear relationship between the QPO RMS and the hardness ratio. The bicoherence analysis revealed a transition from a "web" pattern to a "hypotenuse" pattern in the LE and HE energy bands. In the bicoherence patterns, there are correlations between horizontal and vertical bicoherence at with count rates. The diagonal structure at becomes more prominent with increasing energy. Additionally, we discovered a new bicoherence pattern in the medium energy band from 10 -- 20…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Stellar, planetary, and galactic studies · Statistical and numerical algorithms
