Using wavelet analysis to study AGN x-ray variability

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dc.contributor.advisor Gallo, Luigi C.
dc.creator Ghosh, Akshay
dc.date.accessioned 2023-10-19T17:06:16Z
dc.date.available 2023-10-19T17:06:16Z
dc.date.issued 2023-08-01
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/31852
dc.description 1 online resource (ix, 97 pages) : colour illustrations, charts (some colour), graphs (some colour)
dc.description Includes abstract.
dc.description Includes bibliographical references (pages 89-97).
dc.description.abstract In this work, we examine the application of the wavelet transform to the X-ray timing analyses of active galactic nuclei (AGN) and quasi-periodic eruption sources (QPEs). We find that the power spectral density (PSD) slope and the nature of the periodic signal can influence the ability to identify important features in the wavelet power spectrum. Several scenarios are simulated to test the effectiveness of the wavelet analysis to stationary and non-stationary data. We carried out a wavelet analysis to five unique objects: Ark 120, IRAS 13224-3809, RE J1034+396, the QPE GSN 069, and the eclipsing NGC 6814. The well-known quasi-periodic oscillation (QPO) in RE J1034+396 is significantly detected in the wavelet power spectrum. In IRAS 13224-3809, significant transient features appear during a flare at frequencies coincident with previously detected reverberation signals. The wavelet power spectrum of the QPE GSN 069 significantly reveals four persistent signals. en_CA
dc.description.provenance Submitted by Greg Hilliard (greg.hilliard@smu.ca) on 2023-10-19T17:06:16Z No. of bitstreams: 1 Ghosh_Akshay_MASTERS_2023.pdf: 24101377 bytes, checksum: b72087ec02a26b603f86ad42b4fe967b (MD5) en
dc.description.provenance Made available in DSpace on 2023-10-19T17:06:16Z (GMT). No. of bitstreams: 1 Ghosh_Akshay_MASTERS_2023.pdf: 24101377 bytes, checksum: b72087ec02a26b603f86ad42b4fe967b (MD5) Previous issue date: 2023-08-01 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcsh Wavelets (Mathematics)
dc.subject.lcsh Active galactic nuclei
dc.subject.lcsh X-ray astronomy
dc.subject.lcsh Power spectra
dc.title Using wavelet analysis to study AGN x-ray variability en_CA
dc.type Text en_CA
thesis.degree.name Master of Science in Astronomy
thesis.degree.level Masters
thesis.degree.discipline Astronomy and Physics
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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