Standard deviation and count rate

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Discussion Overview

The discussion revolves around the relationship between standard deviation and count rate in the context of radiation counting experiments, particularly focusing on the assertion that 2*sigma equals 0.05 times the count rate. Participants explore the implications of this relationship within the framework of statistical distributions, specifically the Poisson and Gaussian distributions.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant notes that the counting rate follows a Poisson distribution, which approximates a Gaussian distribution for reasonable rates, suggesting a connection to the 95% probability interval.
  • Another participant states that there is a 95% chance the true mean lies within the interval defined by -1.96s and +1.96s around the measured mean.
  • Several participants express confusion regarding the claim that 2*sigma equals 0.05 times the count rate, questioning its validity and suggesting it may be a misinterpretation of the video content.
  • One participant provides an alternative formula for the standard deviation of count rate, indicating that it is derived from the counting time and the count rate itself.

Areas of Agreement / Disagreement

Participants generally disagree on the validity of the statement that 2*sigma equals 0.05 times the count rate, with multiple viewpoints expressed regarding the interpretation of standard deviation in this context. The discussion remains unresolved as participants continue to seek clarity on the relationship.

Contextual Notes

There are limitations in the discussion regarding the assumptions made about the relationship between standard deviation and count rate, as well as the definitions used for these terms. Some mathematical steps and interpretations remain unresolved.

Zuzana
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Hello,

I watched MIT course on Nuclear physics (13. Practical Radiation Counting Experiments on ytb) and I do not understand why 2*sigma (standard deviation) = 0.05* countRate. As far as I know, integral of normal distribution from -2sigma to 2 sigma gives 95 % probability, but how can 2*sigma equals 100%-95% of count rate?

Thank you for the answer.
 
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Hello @Zuzana,
:welcome: ##\qquad##!
As you may know, a counting rate obeys a Poisson distribution. ( e.g. sheet 17 here ). For reasonable counting rates, such a Poisson distribution is very close to a Gaussian distribution ( ibid sheet 20 ). Hence the 95%.

##\ ##
 
u = measured mean
s = measured standard deviation

There is a 95% chance that the true mean lies in the interval
-1.96s+u to u+1.96s
 
Hornbein said:
u = measured mean
s = measured standard deviation

There is a 95% chance that the true mean lies in the interval
-1.96s+u to u+1.96s
yes, I understand this, but I do not understand why should 2*sigma = 0.05*countRate.
 
I don't know where you got that the standard deviation of count rate is count rate but the standard deviation for count rate r is r1/2 / t1/2 or (r / t)1/2 where t is the counting time.

Zuzana said:
and I do not understand why 2*sigma (standard deviation) = 0.05* countRate.
I don't understand this statement either. Perhaps you misinterpreted something in the video.

95% are between ±2σ meaning 5% is outside this interval or 2.5% above and 2.5% below.
 
Zuzana said:
yes, I understand this, but I do not understand why should 2*sigma = 0.05*countRate.
I don't understand it either. I'd say you should disregard this confused concept.
 

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