Understanding corona and disk evolution in black hole X-ray binaries through a comprehensive study of their broadband variability and QPO characteristics
Biki Ram, Manoneeta Chakraborty

TL;DR
This study analyzes the broadband variability and QPO characteristics in black hole X-ray binaries using AstroSat data, revealing insights into corona evolution and spectral state transitions.
Contribution
It provides a comprehensive power colour analysis of archival data, identifying spectral states and investigating QPO properties and lags across different inclination sources.
Findings
Detected 29 QPOs and associated harmonics.
Observed a sign change in QPO time lag around 2 Hz for high inclination sources.
Revealed evolution from elongated jet-like to compact corona during state transition.
Abstract
The shape of the power spectrum of the black hole low-mass X-ray binary evolves systematically over different spectral states during an outburst. Therefore, the power colours (ratio of the variability amplitude at different frequency ranges) and the hue parameter, quantifying the power spectral shape, can be utilised to identify the spectral states of the system. We present the comprehensive power colour analysis and subsequent identification of spectral states using the entire archival data (2016-2024) from AstroSat. We detected 29 QPOs (quasi-periodic oscillations), along with several associated harmonics and shoulders, and investigated their properties as a function of hue. We examined the evolution of the QPO RMS variability and time lag, along with hue and QPO frequency. We report a sign change in the average QPO time lag around the QPO frequency of ~2 Hz for high inclination…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
