Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105
Understanding the 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 commonly used features associated with nonlinear systems are chaos, which is d...
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IOP Publishing
2025-01-01
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| Series: | The Astrophysical Journal |
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| Online Access: | https://doi.org/10.3847/1538-4357/ada296 |
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| author | Anindya Guria Banibrata Mukhopadhyay |
| author_facet | Anindya Guria Banibrata Mukhopadhyay |
| author_sort | Anindya Guria |
| collection | DOAJ |
| description | Understanding the 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 commonly used features associated with nonlinear systems are chaos, which is deterministic, and randomness, which is stochastic. The differentiation between chaotic and stochastic systems is often considered to quantify the nonlinear properties of an astrophysical system. Particular emphasis is given to the fact that data are 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 have been explored in the literature. However, this has not been the case with their nonlinear dynamics: GRS 1915+105 shows signs of both determinism and stochasticity, 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 nonlinear results. We employ several denoising techniques to mitigate noise effects, and employ methods like principal component analysis, singular value decomposition, and correlation integrals to isolate the deterministic signatures. We find 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 nonlinearity in observed dynamical systems. |
| format | Article |
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| institution | Kabale University |
| issn | 1538-4357 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-416b05b779964071aa2bc8853a1d167a2025-02-05T07:35:37ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-0198017710.3847/1538-4357/ada296Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105Anindya Guria0Banibrata Mukhopadhyay1https://orcid.org/0000-0002-3020-9513Department of Physics, Indian Institute of Science , C. V. Raman Road, Bangalore 560012, India ; anindyaguria@iisc.ac.in, bm@iisc.ac.inDepartment of Physics, Indian Institute of Science , C. V. Raman Road, Bangalore 560012, India ; anindyaguria@iisc.ac.in, bm@iisc.ac.inUnderstanding the 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 commonly used features associated with nonlinear systems are chaos, which is deterministic, and randomness, which is stochastic. The differentiation between chaotic and stochastic systems is often considered to quantify the nonlinear properties of an astrophysical system. Particular emphasis is given to the fact that data are 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 have been explored in the literature. However, this has not been the case with their nonlinear dynamics: GRS 1915+105 shows signs of both determinism and stochasticity, 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 nonlinear results. We employ several denoising techniques to mitigate noise effects, and employ methods like principal component analysis, singular value decomposition, and correlation integrals to isolate the deterministic signatures. We find 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 nonlinearity in observed dynamical systems.https://doi.org/10.3847/1538-4357/ada296High energy astrophysicsAstrophysical black holesAstronomy data analysisX-ray transient sourcesTime series analysisLight curve classification |
| spellingShingle | Anindya Guria Banibrata Mukhopadhyay Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 The Astrophysical Journal High energy astrophysics Astrophysical black holes Astronomy data analysis X-ray transient sources Time series analysis Light curve classification |
| title | Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 |
| title_full | Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 |
| title_fullStr | Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 |
| title_full_unstemmed | Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 |
| title_short | Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 |
| title_sort | uncovering deterministic behavior of black hole igr j17091 3624 a twin of grs 1915 105 |
| topic | High energy astrophysics Astrophysical black holes Astronomy data analysis X-ray transient sources Time series analysis Light curve classification |
| url | https://doi.org/10.3847/1538-4357/ada296 |
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