Measurements with the CsI(Tl) detector

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gxa
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I made an experiment in the lab. I took some measurements with the CsI(Tl) detector by placing the cobalt at a distance of 5 cm. I have attached the measurement result. I need to find the count for the peak energies. How can I do it? Any idea?
 
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You did not use the spectrometer efficiently. The counts are too spread out. You should reduce the conversion gain i.e., use fewer channels for the spectrum, and adust the pulse height gain to put the highest energy peak near the highest channel.

512 channels should be enough about 2keV per channel. If the resolution (Full Width at Half Mac) is 8% for example that would encompass about 40 channels.

With the spectra you have, you could bin (combine) about 8 consecutive channels to make your peaks stand out more. This would be like using only 512 channels.
 
Thank you for your answer, the detector I use is a usb detector and I can only change these settings (I am sending it in the attachment)
 
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  • Windows dialog titled Property with time settings: energy transduction unit time 3min, energy spectrum record period 10min, energy lower limit 30 keV, energy transduction range 30 to 2000 keV, correction coefficient 1.000 uSv/h, with Save, Open and OK buttons.
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Hello again,

Line graph titled Count, with blue line and red point markers plotting count (0 to 35) against channel number (0 to about 1500), showing a broad high region below channel 300, a sharp drop, and two small bumps near channels 1170 and 1340.


You haven't been counting very long, have you ?
There is some similarity with e.g. the plot here
Gamma-ray spectrum of Cobalt 60 with counts on the vertical axis (0 to 3000) against energy on the horizontal axis; two peaks circled in red are labelled Co-60 1173.2 and Co-60 1332.5.


I hope your 'peaks' are only the ones at 1173 and 1332 keV ? The others are hard to distinguish and that means fitting will be hard too.

The general recipe is:
Form an expression for the assumed counting rate N(x) in a certain energy range, e.g. for two gaussian peaks on a quadratic background:$$N = ax^2 + bx + c \quad
+ C_1 \exp\left (- {(E_1-x)^2\over 2 \sigma_1^2}\right ) \quad +
C_2 \exp\left (- {(E_2-x)^2\over 2 \sigma_2^2}\right ) $$ and minimize ##\sum \Bigl (n_{observed}(x) - N_{expected}(x)\Bigr )^2## by varying the fit parameters ##(a,b,c,C_1, E_1,\sigma_1,C_2, E_2,\sigma_2)##

Figure below shows a half-hearted attempt with C1 =560, C2 = 480

Line graph of counts against energy from 1000 to 1500 with two red Gaussian peak fits; the first peak is near 1165 and the second near 1325, with noisy blue data on a near-zero background above about 1400.


but my hunch is you have software tools at your disposal that do this a whole lot better ...

And the binning together as @gleem proposes reduces the noise considerably

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