Cross-spectral modelling of the black hole X-ray binary XTE J1550-564: challenges to the propagating fluctuations paradigm. Rapisarda, S., Ingram, A., & van der Klis, M. Monthly Notices of the Royal Astronomical Society, 469:2011–2023, August, 2017. ![Cross-spectral modelling of the black hole X-ray binary XTE J1550-564: challenges to the propagating fluctuations paradigm [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Timing properties of black hole X-ray binaries in outburst can be modelled 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 us to simultaneously predict power spectra, time lags and coherence of the variability as a function of energy. This was successfully applied to the Swift data on the black hole MAXI J1659-152, fitting jointly the power spectra in two energy bands and the cross-spectrum between these two bands. In this work, we attempt 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.
@article{rapisardaCrossspectralModellingBlack2017,
title = {Cross-spectral modelling of the black hole {X}-ray binary {XTE} {J1550}-564: challenges to the propagating fluctuations paradigm},
volume = {469},
shorttitle = {Cross-spectral modelling of the black hole {X}-ray binary {XTE} {J1550}-564},
url = {http://adsabs.harvard.edu/abs/2017MNRAS.469.2011R},
doi = {10.1093/mnras/stx991},
abstract = {Timing properties of black hole X-ray binaries in outburst can be
modelled 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 us to
simultaneously predict power spectra, time lags and coherence of the
variability as a function of energy. This was successfully applied to
the Swift data on the black hole MAXI J1659-152, fitting jointly the
power spectra in two energy bands and the cross-spectrum between these
two bands. In this work, we attempt 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.},
urldate = {2020-11-10},
journal = {Monthly Notices of the Royal Astronomical Society},
author = {Rapisarda, S. and Ingram, A. and van der Klis, M.},
month = aug,
year = {2017},
keywords = {X-rays: binaries, X-rays: individual: XTE J1550-564, accretion, accretion discs},
pages = {2011--2023},
}
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Indeed, hard lags observed from these systems appear to be in agreement with this generic prediction. Our propfluc code allows us to simultaneously predict power spectra, time lags and coherence of the variability as a function of energy. This was successfully applied to the Swift data on the black hole MAXI J1659-152, fitting jointly the power spectra in two energy bands and the cross-spectrum between these two bands. In this work, we attempt 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. 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Such models predict time lags between energy bands due to\npropagation delays. First application of a propagating fluctuations\nmodel to black hole power spectra showed good agreement with the data.\nIndeed, hard lags observed from these systems appear to be in agreement\nwith this generic prediction. Our propfluc code allows us to\nsimultaneously predict power spectra, time lags and coherence of the\nvariability as a function of energy. This was successfully applied to\nthe Swift data on the black hole MAXI J1659-152, fitting jointly the\npower spectra in two energy bands and the cross-spectrum between these\ntwo bands. In this work, we attempt to model two high signal-to-noise\nRossi X-ray Timing Explorer (RXTE) observations of the black hole XTE\nJ1550-564. We find that neither observation can be adequately explained\nby the model even when considering, additionally to previous propfluc\nversions, different propagation speeds of the fluctuations. After\nextensive exploration of model extensions, we tentatively conclude that\nthe quantitative and qualitative discrepancy between model predictions\nand data is generic to the propagating fluctuations paradigm. This\nresult encourages further investigation of the fundamental hypotheses of\nthe propagating fluctuations model. 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