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Autocorrelation Analysis

   

The command MAKE/ACF produces an autocovariance/autocorrelation function from data contained either in a list of BDTs or in a single PET. The input data are divided in stretches (maximum length 8192) and an ACF for a single stretch is produced. The output ACF (segmented ACF) is the average (lag by lag) of the single ones. Different choices are available for the normalization of the single ACFs, namely:

  1. Plain autocovariance function R
  2. Plain autocorrelation function tex2html_wrap_inline19045 (autocovariance normalized to the variance)
  3. Partially unbiased autocovariance function tex2html_wrap_inline19047
  4. Partially unbiased autocorrelation function tex2html_wrap_inline19049

For the definition of partially unbiased autocovariance/autocorrelation function see [Sutherland et al.1978]

In the BDT case the input tables do not have to be necessarily contiguous, but the same bin size is required. Any detected gap in the data will close the current stretch and a new one will be started. If one of the input BDTs is not found, the program is closed at that time. All the parameters for the analysis (filenames included) are contained in the parameter file. Different options are available: rebinning of the input light curve (BDT only), windowing, choice of the length of the single data stretches (maximum length 8192 bins), number of time lags in the output ACF and normalization selection (see above). A parameter is available to select the minimum percentage exposure allowed to accept a bin; it is also possible to compute the ACF of the percentage exposure only (window function).

The syntax of the command is:

MAKE/ACF parfil
where parfil is the name of the parameter file which can be generated using the EXSAS command CREATE/PARFIL ACF. The parameter file entries are shown in Table 7.13.

   table8871
Table 7.13: Parameter file entries for MAKE/ACF

The meaning of the parameters is as follows:


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