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Diamond Detectors for Ionizing Radiation - HEPHY

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CHAPTER 6. CHARACTERIZATION 34<br />

140<br />

120<br />

100<br />

Pedestal and Calibration Pulse<br />

Entries 1000<br />

Constant 121.6<br />

Mean 465.0<br />

Sigma 3.192<br />

80<br />

60<br />

40<br />

20<br />

0<br />

440 460 480 500 520 540 560<br />

cal_261197_0136_ped.hist<br />

120<br />

100<br />

Entries 1000<br />

Constant 120.5<br />

Mean 535.9<br />

Sigma 3.198<br />

80<br />

60<br />

40<br />

20<br />

0<br />

440 460 480 500 520 540 560<br />

cal_261197_0153_cal.hist<br />

Figure 6.7: Pedestal and calibration measured histograms with Gaussian ts applied.<br />

height histograms. The left gure corresponds to a sample with low collection distance,<br />

where pedestal and signal parts cannot be separated. On the contrary, the right histogram<br />

is of a high quality sample, where separation is easier.<br />

Neglecting any noise contributions, we would expect a Dirac delta needle at the<br />

pedestal position plus a Landau distribution. Taking the electronic noise into account,<br />

we have to convolute the spectrum with a Gaussian distribution, having a width as<br />

observed from the pedestal contribution, resulting in<br />

H F =[(pedestal) + L(signal)] G()=G(pedestal;)+L(signal) G() : (6.5)<br />

This model is illustrated by g. 6.9.<br />

However, as CVD diamond has a columnar structure in the growth direction and also<br />

considerable lateral inhomogeneities (see section 5.1.1), the spectrum does not exactly<br />

follow this shape. In fact, a superposition of various Landau distributions occurs, yielding<br />

a broader shape. There<strong>for</strong>e, we convolute the signal related to the Landau part in eq. 6.5<br />

with a Gaussian distribution with a greater than that of the pedestal.<br />

Thus, the nal t model is<br />

| {z }<br />

pedestal<br />

H F = G(pedestal;)<br />

+ L(signal) G( L )<br />

| {z }<br />

signal<br />

with L > : (6.6)<br />

The solid lines in g. 6.8 show the t results with this function. When the pedestal mean<br />

and , which are known from pedestal runs, are kept constant and reasonable initial

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