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2. Description of the screening procedure

  The aim of the calculation described here is to derive a quantity to be maximized in order to obtain the optimal screening. This quantity (hereafter the efficiency function) is defined as the ratio of a source signal to noise ratio computed in a time screened observation (tex2html_wrap_inline1017) and in the entire unscreened observation (tex2html_wrap_inline1019), as a function of the amount of rejected exposure time. We define a circular source cell and an annular background cell, whose sizes are related to the local PSF. The following quantities refer to the unscreened observation:

C = total counts in the detection cell (measured)

T = total counts in the background cell (measured)

S = source countsgif

B = background counts in the detection cell

tex2html_wrap_inline1031 = fraction of source counts in the detection cell

tex2html_wrap_inline1033 = fraction of source counts in the background cell

r = ratio of the background to detection cell area.

We can thus write, following the recipe of Harnden et al. (1984) and Kashyap et al. (1994):
 equation208

 equation211

With simple algebra we can obtain from Eqs. (1 (click here)) and (2 (click here)) the following expression for the source counts:
 equation216
Adopting Poissonian statistics on the measured quantities C and T we can also write the standard deviation on the source counts as:
 equation221

Using the above equations, we can now write the signal to noise ratio of the source for the unscreened observation in terms of S and B:
 equation228

If a fraction x of the total observation time is screened out, the expressions for screened C and T becomes:
 equation236

 equation240
where B(x), the total background present in the screened observation, is equal to B (Eqs. (1 (click here)) and (2 (click here))) for x equal zero (unscreened observation). The source is assumed to be constant over the observation.

Analogously to what we have done for the unscreened observation we can derive the screened SNR:
equation246
Using Eqs. (6 (click here)) and (7 (click here)), this becomes:
equation255

We can now define the efficiency function tex2html_wrap_inline1059 = tex2html_wrap_inline1063 to be maximized in order to obtain the optimal screening of the observation under analysis.
eqnarray262

For further discussions it is useful to rewrite the above equation to stress the dependence of the efficiency function on the ratios B/S:
 equation266

The parameters r, tex2html_wrap_inline1031, and tex2html_wrap_inline1033 depend on the geometry of the source and background cells and can be tabulated once the PSF of the instrument is known as a function of the off-axis angle at a given energy (or for a given input source spectrum). We point out that this formalism is very general with respect to the choice of the geometry of the source and background cells, and, in addition, it is independent from the shape of the instrumental PSF.


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