Monitoring clumpy wind accretion in supergiant fast X-ray transients with XMM-Newto

TL;DR

This study uses XMM-Newton observations to investigate spectral variability during flares in supergiant fast X-ray transients, supporting the idea that clumpy stellar winds contribute to their X-ray variability.

Contribution

First systematic observational program analyzing spectral signatures of wind clumps in SFXTs, demonstrating the effectiveness of uniform analysis methods.

Findings

Most X-ray flares are associated with massive wind structures.

Spectral analysis supports wind clump accretion as a primary variability mechanism.

Other mechanisms may also contribute to X-ray variability.

Abstract

Supergiant fast X-ray transients (SFXTs) are a sub-class of supergiant high mass X-ray binaries hosting a neutron star accreting from the stellar wind of a massive OB companion. Compared to the classical systems, SFXTs display a pronounced variability in X-rays that has long been (at least partly) ascribed to the presence of clumps in the stellar wind. We report here on the first set of results of an on-going XMM-Newton observational program aimed at searching for spectroscopic variability during the X-ray flares and outbursts of the SFXTs. The goal of the paper is to present the observational program and show that the obtained results are according to expectations, with a number of flares (between one and four) generally observed per source and per observation (20~ks-long, on average). We base our work on a systematic and uniform analysis method optimized to consistently search for spectral signatures of a variable absorption column density, as well as other parameters of the spectral continuum. Our preliminary results show that the program is successful and the outcomes of the analysis support previous findings that most of the X-ray flares seem associated to the presence of a massive structure approaching and getting accreted by the compact object. However, we cannot rule out that other mechanisms are at work together with clumps to enhance the X-ray variability of SFXTs. This is expected according to current theoretical models. The success of these observations shows that our observational program can be a powerful instrument to deepen our understanding of the X-ray variability in SFXTs. Further observations will help us in achieving a statistically robust sample. This is required to conduct, in the future, a systematic analysis on the whole SFXT class with the ultimate goal of disentangling the role of different mechanisms giving rise to these events.