The University of Southampton
University of Southampton Institutional Repository

Coupling between QPOs and broad-band noise components in GRS 1915+105

Coupling between QPOs and broad-band noise components in GRS 1915+105
Coupling between QPOs and broad-band noise components in GRS 1915+105
We explore the use of the bispectrum for understanding quasi-periodic oscillations. The bispectrum is a statistic which probes the relations between the relative phases of the Fourier spectrum at different frequencies. The use of the bispectrum allows us to break the degeneracies between different models for time series which produce identical power spectra. We look at data from several observations of GRS 1915+105 when the source shows strong quasi-periodic oscillations and strong broad-band noise components in its power spectrum. We show that, despite strong similarities in the power spectrum, the bispectra can differ strongly. In all cases, there are frequency ranges where the bicoherence, a measure of non-linearity, is strong for frequencies involving the frequency of the quasi-periodic oscillations, indicating that the quasi-periodic oscillations are coupled to the noise components, rather than being generated independently. We compare the bicoherences from the data to simple models, finding some qualitative similarities
1365-2966
Maccarone, Thomas J.
27e6101c-8fa4-41db-ba75-d2ee3d1a0c53
Uttley, Philip
db770bd7-d97e-43f5-99d4-a585bccd352a
van der Klis, Michiel
673255ce-dd17-4da0-910c-e3cb78460636
Wijnands, Rudy A. D.
a9b0eee6-285b-4695-bdad-708bbb2cd15b
Coppi, Paolo S.
6e563848-c198-45e1-bcdf-8d9e6d4ddb04
Maccarone, Thomas J.
27e6101c-8fa4-41db-ba75-d2ee3d1a0c53
Uttley, Philip
db770bd7-d97e-43f5-99d4-a585bccd352a
van der Klis, Michiel
673255ce-dd17-4da0-910c-e3cb78460636
Wijnands, Rudy A. D.
a9b0eee6-285b-4695-bdad-708bbb2cd15b
Coppi, Paolo S.
6e563848-c198-45e1-bcdf-8d9e6d4ddb04

Maccarone, Thomas J., Uttley, Philip, van der Klis, Michiel, Wijnands, Rudy A. D. and Coppi, Paolo S. (2011) Coupling between QPOs and broad-band noise components in GRS 1915+105. Monthly Notices of the Royal Astronomical Society. (doi:10.1111/j.1365-2966.2011.18273.x).

Record type: Article

Abstract

We explore the use of the bispectrum for understanding quasi-periodic oscillations. The bispectrum is a statistic which probes the relations between the relative phases of the Fourier spectrum at different frequencies. The use of the bispectrum allows us to break the degeneracies between different models for time series which produce identical power spectra. We look at data from several observations of GRS 1915+105 when the source shows strong quasi-periodic oscillations and strong broad-band noise components in its power spectrum. We show that, despite strong similarities in the power spectrum, the bispectra can differ strongly. In all cases, there are frequency ranges where the bicoherence, a measure of non-linearity, is strong for frequencies involving the frequency of the quasi-periodic oscillations, indicating that the quasi-periodic oscillations are coupled to the noise components, rather than being generated independently. We compare the bicoherences from the data to simple models, finding some qualitative similarities

This record has no associated files available for download.

More information

Published date: 2011

Identifiers

Local EPrints ID: 180415
URI: http://eprints.soton.ac.uk/id/eprint/180415
ISSN: 1365-2966
PURE UUID: 63c4b261-cec2-42a3-b8a6-983f07734c53

Catalogue record

Date deposited: 11 Apr 2011 09:15
Last modified: 14 Mar 2024 02:52

Export record

Altmetrics

Contributors

Author: Thomas J. Maccarone
Author: Philip Uttley
Author: Michiel van der Klis
Author: Rudy A. D. Wijnands
Author: Paolo S. Coppi

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×