LB Thesis SNR

Background Analysis

In order to find the SNR at [math] t_{Beam Off} [/math], the background was analyzed to check if it remained constant from [math] t_{Beam Off} [/math] until [math] t_{Measure} [/math]. First, the background was plotted for each concentration of Se/Soil and was overlaid with the the background in the pure sample for each respective target.

The clearest exponential behavior is seen in the 1% sample. The background rate dropped by 62% between the first and second measurements ([math] \Delta t [/math] = 7.5 minutes). This indicated that considering the background to be constant from [math] t_{Beam Off} [/math] until [math] t_{Measure} [/math], which was an average of 23.3 [math] \pm [/math] 2.67 minutes would not be sufficient. Since this was the case, an exponential fit was attempted on the 1% mixture data to find the half life of the background (even though this is still just an estimate).

50% Fit Parameters: Constant = 2.11 [math] \pm [/math] 0.004 , Slope = 1.99 [math] \pm [/math] 0.002 [math] \times 10^{-4} [/math]

10% Fit Parameters: 3.22 [math] \pm [/math] 0.008, Slope = 3.67 [math] \pm [/math] 0.003 [math] \times 10^{-4} [/math]

1% Fit Parameters: 1% Fit Parameters 4.685 [math] \pm [/math] 0.004, 4.30 [math] \pm [/math] 0.001 [math] \times 10^{-4} [/math]

The exponentiated constant was used as an "initial activity" of the background. This "initial activity" was then efficiency corrected and divided by the initial activity of the selenium line of interest's activity (103 for Se-81m and 265 for Se-75). The signal to noise ratio was calculated with

[math] \frac{Signal-Background}{Background} [/math] and the relative error was taken.

Once the points had been found, a linear fit was used to determine where the signal to noise ratio would intersect with unity.