Uncovering deterministic behavior of black hole IGR J17091-3624: A twin of GRS 1915+105

TL;DR

This study investigates the nonlinear dynamics of the black hole X-ray binary IGR J17091-3624, revealing signs of deterministic behavior after noise reduction, and compares it to the similar system GRS 1915+105.

Contribution

The paper applies advanced noise mitigation and nonlinear analysis techniques to uncover deterministic signatures in IGR J17091-3624, challenging previous assumptions of its stochastic nature.

Findings

Signs of determinism in IGR J17091-3624 after noise reduction

Similarity in nonlinear dynamics between IGR J17091-3624 and GRS 1915+105

Demonstrated effectiveness of denoising techniques in astrophysical nonlinear analysis

Abstract

Understanding nonlinear properties in accreting systems, particularly for black holes, from observation is illuminating as they are expected to be general relativistic magnetohydrodynamic flows that are nonlinear. Two features associated with nonlinear systems, used commonly, are chaos, which is deterministic, and random, which is stochastic. The differentiation between chaotic and stochastic systems is often considered to quantify the nonlinear properties of an astrophysical system. The particular emphasis is that data is often noise-contaminated and finite. We examine the dual nature of the black hole X-ray binary IGR J17091-3624, whose behavior has been closely studied in parallel to GRS 1915+105. Certain similarities in the temporal classes of these two objects are explored in literature. However, this has not been the case with their non-linear dynamics: GRS 1915+105 shows signs of determinism and stochasticity both, while IGR J17091-3624 was found to be predominantly stochastic. Here, we confront the inherent challenge of noise contamination faced by previous studies, particularly Poisson noise, which adversely impacts the reliability of non-linear results. We employ several denoising techniques to mitigate noise effects and employ methods like Principal Component Analysis, Singular Value Decomposition, and Correlation Integral to isolate the deterministic signatures. We have found signs of determinism in IGR J17091-3624, thus supporting the hypothesis of it being similar to GRS 1915+105, even as a dynamical system. Our findings not only shed light on the complex nature of IGR J17091-3624 but also pave the way for future research employing noise-reduction techniques to analyze non-linearity in observed dynamical systems.