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The analysis of some bivariate astronomical time series

Bibliography: pages 75-76.

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Bibliographic Details
Main Author: Koen, Marthinus Christoffel
Other Authors: Zucchini, Walter
Format: Thesis
Language:English
Published: Department of Statistical Sciences 2016
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access_status_str Open Access
author Koen, Marthinus Christoffel
author2 Zucchini, Walter
author_browse Koen, Marthinus Christoffel
Zucchini, Walter
author_facet Zucchini, Walter
Koen, Marthinus Christoffel
author_sort Koen, Marthinus Christoffel
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description Bibliography: pages 75-76.
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institution University of Cape Town (South Africa)
language eng
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license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
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spelling oai:open.uct.ac.za:11427/17341 The analysis of some bivariate astronomical time series Koen, Marthinus Christoffel Zucchini, Walter Statistical Sciences Astronomy Bibliography: pages 75-76. In the first part of the thesis, a linear time domain transfer function is fitted to satellite observations of a variable galaxy, NGC5548. The transfer functions relate an input series (ultraviolet continuum flux) to an output series (emission line flux). The methodology for fitting transfer function is briefly described. The autocorrelation structure of the observations of NGC5548 in different electromagnetic spectral bands is investigated, and appropriate univariate autoregressive moving average models given. The results of extensive transfer function fitting using respectively the λ1337 and λ1350 continuum variations as input series, are presented. There is little evidence for a dead time in the response of the emission line variations which are presumed driven by the continuum. Part 2 of the thesis is devoted to the estimation of the lag between two irregularly spaced astronomical time series. Lag estimation methods which have been used in the astronomy literature are reviewed. Some problems are pointed out, particularly the influence of autocorrelation and non-stationarity of the series. If the two series can be modelled as random walks, both these problems can be dealt with efficiently. Maximum likelihood estimation of the random walk and measurement error variances, as well as the lag between the two series, is discussed. Large-sample properties of the estimators are derived. An efficient computational procedure for the likelihood which exploits the sparseness of the covariance matrix, is briefly described. Results are derived for two example data sets: the variations in the two gravitationally lensed images of a quasar, and brightness changes of the active galaxy NGC3783 in two different wavelengths. The thesis is concluded with a brief consideration of other analysis methods which appear interesting. 2016-02-29T12:01:56Z 2016-02-29T12:01:56Z 1993 Master Thesis Masters MSc http://hdl.handle.net/11427/17341 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town
spellingShingle Statistical Sciences
Astronomy
Koen, Marthinus Christoffel
The analysis of some bivariate astronomical time series
thesis_degree_str Master's
title The analysis of some bivariate astronomical time series
title_full The analysis of some bivariate astronomical time series
title_fullStr The analysis of some bivariate astronomical time series
title_full_unstemmed The analysis of some bivariate astronomical time series
title_short The analysis of some bivariate astronomical time series
title_sort analysis of some bivariate astronomical time series
topic Statistical Sciences
Astronomy
url http://hdl.handle.net/11427/17341
work_keys_str_mv AT koenmarthinuschristoffel theanalysisofsomebivariateastronomicaltimeseries
AT koenmarthinuschristoffel analysisofsomebivariateastronomicaltimeseries