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arxiv: 1405.2024 · v2 · pith:D6QU4PSFnew · submitted 2014-05-08 · 🌌 astro-ph.HE

Power-Colours: Simple X-ray Binary Variability Comparison

classification 🌌 astro-ph.HE
keywords powerx-rayblackdifferentholebinariescolour-colourobjects
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We demonstrate a new method of variability classification using observations of black hole X-ray binaries. Using `power colours' -- ratios of integrated power in different Fourier frequency bands -- we can clearly differentiate different canonical black hole states as the objects evolve during outburst. We analyse (~ 2400) Rossi X-ray Timing Explorer observations of 12 transient low mass black hole X-ray binaries and find that the path taken around the power colour-colour diagram as the sources evolve is highly consistent from object to object. We discuss how the consistency observed in the power colour-colour diagram between different objects allows for easy state classification based on only a few observations, and show how the power-spectral shapes can be simply classified using a single parameter, the power-spectral `hue'. To illustrate the benefits of our simple model-independent approach, we show that the persistent high mass X-ray binary Cyg X-1 shows very similar power-spectral evolution to the transient black hole sources, with the main difference being caused by a combination of a lack of quasi-periodic oscillations and an excess of low-frequency power-law noise in the Cyg X-1 power spectra during the transitional state. We also compare the transient objects to the neutron star atoll source Aquila X-1, demonstrating that it traces a different path in the power colour-colour plot. Thus, power-colours could be an effective method to classify newly discovered X-ray binaries.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Understanding corona and disk evolution in black hole X-ray binaries through a comprehensive study of their broadband variability and QPO characteristics

    astro-ph.HE 2026-05 unverdicted novelty 4.0

    Comprehensive analysis of AstroSat data shows a sign change in QPO time lags at ~2 Hz for high-inclination sources, consistent with a transition from elongated jet-like to compact corona.