High time resolution optical/X-ray cross-correlations for X-ray binaries: anti-correlations and rapid variability
Martin Durant, Tariq Shahbaz, Poshak Gandhi, Remon Cornelisse, Teodoro, Munoz-Darias, Jorge Casares, Vik Dhillon, Tom Marsh, Hendrik Spruit, Kieran, O'Brien, Danny Steeghs, Rob Hynes

TL;DR
This study analyzes high time-resolution X-ray and optical data from four X-ray binaries, revealing dynamic, anti-correlated variability patterns that challenge reprocessing models and suggest complex, non-linear interactions.
Contribution
First comprehensive dynamical cross-correlation analysis of simultaneous optical and X-ray data in multiple X-ray binaries, revealing time-varying anti-correlations and complex variability patterns.
Findings
Anti-correlation signals precede positive correlations in all sources.
Cross-correlation functions vary significantly over time.
Anti-correlations are more prominent in hard X-ray spectra.
Abstract
Using simultaneous observations in X-rays and optical, we have performed a homogeneous analysis of the cross-correlation behaviours of four X-ray binaries: SWIFT J1753.5-0127, GX 339-4, Sco X-1, and Cyg X-2. With high time-resolution observations using ULTRACAM and RXTE, we concentrate on the short time-scale, dt<20 s, variability in these sources. Here we present our database of observations, with three simultaneous energy bands in both the optical and the X-ray, and multiple epochs of observation for each source, all with ~second or better time resolution. For the first time, we include a dynamical cross-correlation analysis, i.e., an investigation of how the cross-correlation function changes within an observation. We describe a number of trends which emerge. We include the full dataset of results, and pick a few striking relationships from among them for further discussion. We find,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
