Stability Plots


Demonstrating the Poissonian Nature of the background

    The plots below were created using the year 2001 data.  Each plot shows the time between each event that survives after all cuts and the previous surviving event for the full year of real data, plotted in black.  This is compared to the red line, which  shows the predicted shape based on a Poissonian model.  In addition to a large time scale spectrum to show that the overall shape is approximately the same as the Poissonian expectation, plots showing the distribtution for smaller time intervals are shown to demonstrate that the number of events with the delta-t values revelant to this analysis are roughly as expected.

  

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dtdist.short.45.gif


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Detector Stability

The plots below show rates after cuts for both searches, demonstrating a reasonable level of rate stability.  Seasonal rate effects are visible in both plots.  Because of this variation in rates, whenever toy Monte Carlo was used to make predictions, the year was divided into five periods and the average rate for each period was used when generating MC for days in that period.



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Number of bins with two events

    Poissonian statistics predicts that there should be bins with two events in them multiple times a year in both searches.  10 000 years of toy monte carlo were run based on Poissonian event distributions.  The distribution of the number of two-event bins in each year is shown in the plots below for the 1 and 100 second searches, with the number occuring in the actual experiment marked in red.  Both numbers are within the expectations based on Monte Carlo.  After unblinding, similar plots will be produced for triplets and higher multiples. 

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