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If one wishes to survey a field for X-ray sources, one should
consider the number of false sources expected in the region.
If one is interested primarily in source detection
(Poisson statistics case),
one can obtain a rough estimate of the number of false sources
by considering the number of independent detect cells
in the region of interest.
For example, in the inner 10' diameter region,
there are approximately 
detect cells.
Setting the detection significance level at 
would
therefore produce, on average, one false source in the region.
One must be careful, however, in applying this analysis to
source detection algorithms which use sliding detect cells,
since adjacent cells are not independent.
In such cases, the false source rate may best be determined
by simulations.
The PROS task QPSIM may be used to simulate QPOE files
containing blank HRI fields with given background rates.
In the Gaussian statistics case, there is no simple way, a priori,
to estimate the number of false sources from the count rate
significance threshold.
In this case, simulations are necessary, and were, in fact,
performed to set detection thresholds for the ROSAT HRI
Level 1 software in the SASS system.
It was determined there that for typical HRI exposures,
detection thresholds of 
resulted in approximately
1 false source per field in each cell size used.
Based on experience with the Einstein Observatory,
a more conservative limit, say 
might be appropriate.
Again, observers may wish to perform their own simulations
if this point is crucial to their feasibility analysis.