Statistical error analysis of Geiger counter?

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Homework Help Overview

The discussion revolves around statistical error analysis in the context of measurements taken with a Geiger counter. The original poster presents a formula for average measurements and questions the implications of zero counts on statistical error, specifically regarding the standard deviation and the choice between longer versus shorter measurement intervals.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the derivation of the error propagation formula and question the assumption that all measurement errors are equal. There is also a discussion about the implications of measurement intervals on statistical error and whether it is better to take multiple short measurements versus one long measurement.

Discussion Status

Some participants are seeking clarification on the original poster's equations and assumptions, while others are probing the relevance of Poisson statistics to the problem. There is a lack of consensus on the original poster's understanding of the statistical concepts involved, and the discussion is ongoing with various interpretations being explored.

Contextual Notes

Participants note that the original poster has not learned about Poisson processes, which may be relevant to the discussion of counting statistics and error analysis. There is also mention of previous questions related to similar topics, indicating a broader context of inquiry.

carnivalcougar
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1. Homework Statement

An average value of N measurements is defined as:

ravg = 1N ∑ ri where i = 1 and it sums up to N measurements

By using this expression in the master formula for a general function z = (x1, x2,...) error propagation, we find the δravg error propagation:
(δravg)2 = ( (∂ravg (ra, r2,...) / ∂r1 ) (δr1))2 + ( (∂ravg (ra, r2,...) / ∂r1) (δr1))2 + ...

Finally, we arrive at the following conclusion:
δravg = δrN√
since all measurements are independent (δr1)2 = (δr2)2 = ... = (δr)2. In your present investigation the counts of the geiger counter are integer numbers. They can become zero, navg = 0, if the shiled is thick or the time interval becomes small. Does this mean that standard deviation vanishes, \sqrt{navg} --> 0, and statistical error becomes infinite, δnavg ∝ navg-1/2 → ∞ ? Or, does the presented statistical error analysis become inapplicable in this case? Is it better to have one longer time interval or many short intervals of the same cumulative duration to minimize the standard deviation (or does it make no difference)?



2. Homework Equations
Provided in question


3. The Attempt at a Solution

I think that the error analysis becomes inapplicable. I don't think the standard deviation vanishes and the statistical error becomes infinite. This may be completely wrong though. I'm not sure if the interval matters though.
 
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I see two relevant equations, one for ravg (where I assume you mean ravg = 1/N ∑ ri) and one for δravg. Ok.

I don't see where δravg = δrN√ comes from . Can you complete it and work it out ?

I also don't see why all δri should be equal. What do you measure ? Do you use equal time intervals for the measurements ?

Did you learn about Poisson statistics already ?
 
I think if you want people to take the time to help you, you ought to at least take the time to make sure your equations are written correctly.
 
I attached pictures of the question with the equations typed out so they will definitely be correct.

We also did not learn Poisson processes.
 

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I see. So what I assumed was your attempt at a solution was really the original problem statement.
No relevant equations at all ? No attempt at a solution, except some thoughts ?

And apparently, you/they use equal time intervals for the measurements, so the errors might be the same for each ri.

So where are you with your present investigation ?

What they are also asking is "If you have an hour of counting time, is it better to take 60 measurements of 1 minute, 30 of 2 or 12 of 5 or 1 of 60 minutes, or doesn't it matter ?"

What is observed with a Geiger counter (the name says it already) is counts. Rate = counts/time interval, and those we had fixed. So with a given rate r and a given N you can say something about the expected number of counts per interval.

If you are not familiar with Poisson, then: do you know about binomial distributions ? Gauss distribution ?
 
carnivalcougar said:
We also did not learn Poisson processes.

You will, of course, recall that I asked the same question that BvU is asking when you posed another question on radioactivity in a different thread in Intro Physics.

You have to learn about Poisson processes (and the approximation of the Poisson distribution to the normal distribution for large mean values). Whether you've been formally taught these things or not seems to be irrelevant if they're asking you questions on these topics.

I suggest self-study - the net is a great resource.
 

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