Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/6586
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dc.contributor.authorMohan, Prashanth-
dc.contributor.authorMangalam, A-
dc.contributor.authorChattopadhyay, S-
dc.date.accessioned2014-04-10T09:33:43Z-
dc.date.available2014-04-10T09:33:43Z-
dc.date.issued2014-04-
dc.identifier.citationJournal of Astrophysics and Astronomy, (Submitted)en
dc.identifier.issn0250-6335-
dc.identifier.urihttp://hdl.handle.net/2248/6586-
dc.descriptionOpen Accessen
dc.description.abstractThe maximum likelihood estimator is used to determine fit parameters for various parametric models of the Fourier periodogram followed by the selection of the best fit model amongst competing models using the Akaike information criteria. This analysis, when applied to light curves of active galactic nuclei can be used to infer the presence of quasi-periodicity and break or knee frequencies. The extracted information can be used to place constraints on the mass, spin and other properties of the putative central black hole and the region surrounding it through theoretical models involving disk and jet physics.en
dc.language.isoenen
dc.publisherIndian Academy of Sciencesen
dc.relation.urihttp://arxiv.org/abs/1404.0523en
dc.rights© Indian Academy of Sciencesen
dc.subjectAstrophysics - Astrophysics of Galaxiesen
dc.subjectAstrophysics - High Energy Astrophysical Phenomenaen
dc.titleParametric models of the periodogramen
dc.typeArticleen
Appears in Collections:IIAP Publications

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