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    Time series models of three sets of RXTE Observations of 4U 1543-47

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    KoenUCDsExtensive2013.pdf (854.9Kb)
    Date
    2013
    Author
    Koen, Chris
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    Abstract
    The X-ray nova 4U 1543−47 was in a different physical state (low/hard, high/soft, and very high) during the acquisition of each of the three time series analyzed in this paper. Standard time series models of the autoregressive moving average (ARMA) family are fitted to these series. The low/hard data can be adequately modeled by a simple low-order model with fixed coefficients, once the slowly varying mean count rate has been accounted for. The high/soft series requires a higher order model, or an ARMA model with variable coefficients. The very high state is characterized by a succession of “dips,” with roughly equal depths. These seem to appear independently of one another. The underlying stochastic series can again be modeled by an ARMA form, or roughly as the sum of an ARMA series and white noise. The structuring of each model in terms of short-lived aperiodic and “quasi-periodic” components is discussed.
    URI
    http://hdl.handle.net/10566/814
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    • Research Articles (Statistics & Population Studies) [112]
    • Prof. Chris Koen [55]

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