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SPEX User's Manual - SRON

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5.3 Data binning 93<br />

Table 5.6: Coefficients for the approximations for λ k and c α<br />

i a i b i<br />

0 0.1342 1.3596<br />

1 -0.3388 4.0609<br />

2 0.7994 -4.3522<br />

3 -1.1697 5.2225<br />

4 0.9053 -3.7881<br />

5 -0.2811 1.1491<br />

f(x) =<br />

a<br />

π(a 2 + x 2 ) , (5.30)<br />

where a is the width parameter. The FWHM equals 2a. Next we consider the Gaussian distribution,<br />

given by<br />

f(x) = 1 √<br />

2πσ<br />

e −x2 /2σ 2 , (5.31)<br />

with σ the standard deviation. The FWHM is given by √ ln 256σ, which is approximately 2.3548σ.<br />

We have computed the value for δ ≡ λ k / √ N numerically for both distributions. We have taken into<br />

account also the effect of possible phase shifts, i.e. that the center of the distribution does not coincide<br />

with a grid point but with a certain phase of the grid. The maximum bin width ∆/FWHM as a function<br />

of the maximum absolute difference δ between the true and approximated cumulative density distribution<br />

is plotted for both distributions in fig. 5.3.<br />

Figure 5.3: Required bin width ∆ as a function of the accuracy parameter δ for a Gaussian<br />

distribution (solid line) and a Cauchy distribution (dashed line).<br />

We can approximate both curves with sufficient accuracy by a polynomial in x ≡ 10 log δ as<br />

10 log(∆/FWHM) =<br />

10 log(∆/FWHM) =<br />

4∑ 10 log(δ)<br />

c i ( ) i , (5.32)<br />

10<br />

i=0<br />

4∑ 10 log(δ)<br />

g i ( ) i , (5.33)<br />

10<br />

i=0

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