What is Channel Number? (In gamma spectroscopy)

Click For Summary

Discussion Overview

The discussion centers around the concept of Channel Number in gamma spectroscopy, specifically its representation in spectral graphs and its relationship to count rates and scintillation events. Participants explore the implications of using discrete energy bands versus continuous energy measurements in data representation.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant asks what the Channel Number represents in a gamma spectroscopy graph, suggesting a possible confusion with count rate definitions.
  • Another participant explains that Channel Number corresponds to a band of energy (ΔE) and clarifies that a count refers to a single detection event or scintillation.
  • A participant questions the rationale behind dividing energy into discrete bands instead of using a continuous energy axis.
  • One response references the use of histograms to plot energy distributions, suggesting that this method is necessary to visualize a large set of experimentally measured energy values.
  • Another participant mentions that some systems may record energy directly, providing links to external resources for further reading.
  • Further discussion includes the practicality of plotting data without histogram bins, with a suggestion that unbinned fits can be used but may be impractical in many cases.

Areas of Agreement / Disagreement

Participants express varying views on the use of discrete energy bands versus continuous energy measurements, indicating that multiple competing perspectives remain. There is no consensus on the best approach to represent the data.

Contextual Notes

Some limitations are noted regarding the assumptions made about the representation of energy and the methods used for data visualization, but these remain unresolved within the discussion.

Who May Find This Useful

This discussion may be useful for individuals interested in gamma spectroscopy, data representation in experimental physics, and the analysis of scintillation events.

CraigH
Messages
221
Reaction score
1
Really quick question.

In a graph like this:
http://en.wikipedia.org/wiki/File:Cs137_Spectrum.PNG

Source

What does the Channel Number represent?

Also, just to make sure, am I right in saying the count rate is \frac{\delta m}{\delta t} ?
where m is the cumulative number of scintillations
and t is time

Edit: I've just noticed the graph says "number of counts" and not "count rate". Some graphs do though, so can I change my second question to: Is a count a single scintillation?
 
Physics news on Phys.org
Channel number is a band of energy (ΔE). There is a total energy, and one divides that into a number of channels.

A count is one (detection) event or scintillation. The systems captures the counts, and the count rate is simply the difference in accumulated counts divided by the counting interval.
 
  • Like
Likes   Reactions: 1 person
Thanks Astronuc. So the scintillation detectors are sensitive to the energy of the flash, but why do we divide this into discrete energy bands instead of just having energy on the horizontal axis?
 
Have you ever used histograms before? How else would you plot a set of e.g. 10000 experimentally-measured energy values in a way that shows how they are distributed versus energy?

After you've made a histogram of your data, then you can find a smooth curve that at least approximately "fits" the data, and plot that curve along an energy-axis that doesn't have "bins" or "channels", but that's a somewhat different beast.
 
Actually, some systems may record energy.

http://www.iaea.org/OurWork/ST/NE/NEFW/WTS-Networks/IDN/idnfiles/Characterization&Visualization/06-Gamma_Spectrometry.pdf


IAEA-TECDOC-1363 Guidelines for radioelement mapping using gamma ray spectrometry data
http://www-pub.iaea.org/mtcd/publications/pdf/te_1363_web.pdf
 
jtbell, ah yeah of course. Sorry I didn't think before posting that question.
 
jtbell said:
Have you ever used histograms before? How else would you plot a set of e.g. 10000 experimentally-measured energy values in a way that shows how they are distributed versus energy?
Make a Gaussian distribution out of every measured value, add them up.
It is possible to plot data without histogram bins, it is just impractical in many cases. Unbinned fits use very similar methods.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 2 ·
Replies
2
Views
9K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 7 ·
Replies
7
Views
4K
  • · Replies 1 ·
Replies
1
Views
3K
Replies
12
Views
2K
  • · Replies 2 ·
Replies
2
Views
8K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 4 ·
Replies
4
Views
8K