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XMM-Newton Science Analysis System


ekstest (ekstest-2.2.5) [xmmsas_20070708_1801-7.1.0]

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Description

ekstest reads the FITS file containing the EPIC source and background time series' produced by lccorr or elcbuild and its associated Good Timing Interval (GTI) file produced by tabgtigen, if required. It eliminates all bins that contain null or negative values as well as those that are not in the GTIs, if the GTI file is provided. It can perform any or all of the following variability tests on the light curve to determine whether the source is variable, however if insufficient good bins remain, no variability tests are carried out.

• a Kolmogorov-Smirnov test carried out either on: the cumulative probability functions of the observed count distribution and the observed background distribution; or the cumulative probability function of the observed net count distribution and the cumulative time distribution. It then writes the Kolmogorov-Smirnov statistic, the probability that the source is not variable and the number of good bins used to determine these values into the header of the input file or into the header of a new file and/or to the screen. It must be noted that only the Kolmogorov-Smirnov test with the cumulative probability function of the observed net count distribution and the cumulative time distribution can be carried out at the same time as the other tests.

• a chi-squared probability of constancy test on the net light curve. It then writes the chi-squared statistic, the probability that the source is not variable and the number of good bins used to determine these values into the header of the input file or into the header of a new file and/or to the screen.

• a flare test on the net lightcurve. This searches for the highest peak in the lightcurve, which is over a threshold value provided by the user (given in sigma above the median value of the lightcurve), with an integer number of consecutive bins over the same threshold, also given by the user. The average sigma of the flare, above the median value of the lightcurve along with the number of good bins in the lightcurve are written either into the header of the input file or into the header of a new file and/or to the screen.

• a variation test between the beginning and the end of the lightcurve. The user provides the percentage of the lightcurve to be used at each end and the difference in sigma between the mean values of the two ends along with the number of good bins in the lightcurve are written either into the header of the input file or into the header of a new file and/or to the screen.

The input FITS files must contain net count rates, background count rates and the associated errors. The time series must follow a regular binning scheme (i.e. equispaced time bins) [1]. The bin width is given by the keyword TIMEDEL.