4.7 Article

Evolution of the truncation radius in GX 339-4 from XMM-Newton spectral timing

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 524, Issue 2, Pages 2331-2341

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stad1945

Keywords

accretion; accretion discs; X-rays: binaries; X-rays: individual: GX 339-4

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We investigated the changing geometry of the accretion disc in the X-ray binary GX 339-4 using spectral and timing models. Our analysis suggests that the truncation radius of the disc increases towards the end of the outburst, with a smaller reflection fraction. Additionally, the source spectrum becomes harder and the soft excess becomes more prominent.
We investigate the changing geometry of the accretion disc in the X-ray binary GX 339-4 using a combination of spectral and timing models to fit six XMM-Newton observations taken during the end of the 2015 X-ray outburst. We use progressively more complex models of the X-ray reflection spectra, from simple disc lines to full relativistic reflection models. For the timing analysis, the Power Spectral Densities (PSDs) are generated from the light curves in the 0.3-0.7 and 0.7-1.5 keV energy bands. We fit PSD models that assume the standard accretion disc truncates at a specific radius, inside of which are two hot-flow zones, one spectrally soft and one spectrally hard, separated by a transition radius. Finally, we combine and jointly fit the full reflection spectral models and the truncated disc PSD models. Our final model is consistent with the spectroscopic and timing data. It suggests that the truncation radius of the disc increases towards the end of the outburst, which is self-consistent with the obtained reflection fraction that is smaller. During this, the source spectrum becomes harder and the soft excess becomes more prominent. The disc truncation radius that increases as the source flux decreases is intermediate between the results of previous studies. However, our analysis of the model performance leads us to believe that higher quality data and better models are required to fully understand the GX 339-4 system and reduce the effect of systematic uncertainties.

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