# Cross-spectral modelling of the black hole X-ray binary XTEJ1550-564: challenges to the propagating fluctuations paradigm

## TL;DR

This study tests the propagating fluctuations model on XTE J1550-564's X-ray timing data, finding significant discrepancies that challenge the model's assumptions about accretion variability in black hole binaries.

## Contribution

It critically evaluates the propagating fluctuations paradigm using high-quality RXTE data, revealing limitations and prompting reconsideration of the model's fundamental hypotheses.

## Key findings

- Model fails to fit the observed data despite extensions.
- Discrepancies suggest the paradigm may be fundamentally incomplete.
- Encourages re-examination of accretion variability theories.

## Abstract

Timing properties of black hole X-ray binaries in outburst can be modeled with mass accretion rate fluctuations propagating towards the black hole. Such models predict time lags between energy bands due to propagation delays. First application of a propagating fluctuations model to black hole power spectra showed good agreement with the data. Indeed, hard lags observed from these systems appear to be in agreement with this generic prediction. Our PROPFLUC code allows to simultaneously predict power spectra, time lags, and coherence of the variability as a function of energy. This was successfully applied to Swift data on the black hole MAXIJ1659-152, fitting jointly the power spectra in two energy bands and the cross-spectrum between these two bands. In the current work, we attempt to to model two high signal to noise Rossi X-ray Timing Explorer (RXTE) observations of the black hole XTE J1550-564. We find that neither observation can be adequately explained by the model even when considering, additionally to previous PROPFLUC versions, different propagation speeds of the fluctuations. After extensive exploration of model extensions, we tentatively conclude that the quantitative and qualitative discrepancy between model predictions and data is generic to the propagating fluctuations paradigm. This result encourages further investigation of the fundamental hypotheses of the propagating fluctuations model. We discuss some of these hypotheses with an eye to future works.