Re-examining the XMM-Newton Spectrum of the Black Hole Candidate XTE J1652-453

TL;DR

This study re-analyzes the XMM-Newton spectrum of XTE J1652-453 using a self-consistent relativistic reflection model, exploring black hole spin, disc inclination, and potential high-velocity outflows with implications for accretion physics.

Contribution

It introduces a comprehensive relativistic reflection analysis with physical modeling of absorption features, providing new constraints on black hole spin and disc inclination.

Findings

Black hole spin constrained to less than ~0.5 Jc/GM^2.

Possible detection of a high-velocity disc wind at 11100 km/s.

Low inclination angle (i < 32 degrees) suggests a near face-on view.

Abstract

The XMM-Newton spectrum of the black hole candidate XTE J1652-453 shows a broad and strong Fe K-alpha emission line, generally believed to originate from reflection of the inner accretion disc. These data have been analysed by Hiemstra et al. (2011) using a variety of phenomenological models. We re-examine the spectrum with a self-consistent relativistic reflection model. A narrow absorption line near 7.2 keV may be present, which if real is likely the Fe XXVI absorption line arising from highly ionised, rapidly outflowing disc wind. The blue shift of this feature corresponds to a velocity of about 11100 km/s, which is much larger than the typical values seen in stellar-mass black holes. Given that we also find the source to have a low inclination (i < 32 degrees; close to face-on), we would therefore be seeing through the very base of outflow. This could be a possible explanation for the unusually high velocity. We use a reflection model combined with a relativistic convolution kernel which allows for both prograde and retrograde black hole spin, and treat the potential absorption feature with a physical model for a photo-ionised plasma. In this manner, assuming the disc is not truncated, we could only constrain the spin of the black hole in XTE J1652-453 to be less than ~ 0.5 Jc/GM^{2} at the 90% confidence limit.