Uncertainty in Measuring Radioactivity: Calculating and Interpreting Results

In summary, the physicist measures the activity of a radioactive rock by counting 225 particles in 10 minutes with the rock beside a detector. To check for background, she removes the rock and counts 90 particles in 6 minutes. After converting both answers to rates in particles per hour, she determines that the rock alone has an activity of 400 particles per hour. However, the uncertainty in this measurement is calculated using Poisson statistics by adding the errors from the background and total in quadrature. Therefore, it is uncertain if the rock is truly radioactive without further evidence.
  • #1
Shukie
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Homework Statement


To measure the activity of a rock thought to be radioactive, a physicist puts the rock beside a detector and counts 225 particles in 10 minutes. To check for background, she removes the rock and then records 90 particles in 6 minutes. She converts both these answers into rates, in particles per hour, and takes their difference to give the activity of the rock alone. What is her final answer, in particles per hour, and what is its uncertainty? Does she have significant evidence that the rock is radioactive?

The Attempt at a Solution



With stone she measures 1350 particles and hour and without the stone 900, so the rock alone should be 400 particles an hour. How do you calculate the uncertainty in this case? It seems to me calculating the standard deviation wouldn't work, because they are two entirely different measurements (with rock and without rock).
 
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  • #2
Does your class notes or textbook talk about the uncertainty in counting experiments?
 
  • #3
Yes, counting errors will be poissonian, and you would add the errors from the background and total in quadrature. check your book or google something like "Poisson statistics counting errors"
 

Related to Uncertainty in Measuring Radioactivity: Calculating and Interpreting Results

1. What is uncertainty in measurement?

Uncertainty in measurement refers to the degree of doubt or error associated with a measurement. It is the possible range of values within which the true value of a measurement is estimated to lie.

2. How is uncertainty calculated?

Uncertainty is calculated by taking into account all the possible sources of error in a measurement and estimating the range of values that the true value could fall within. This is typically done using statistical analysis and taking repeated measurements.

3. What factors contribute to uncertainty in measurement?

Uncertainty in measurement can be caused by a variety of factors including instrument precision, human error, environmental conditions, and limitations of the measurement technique. It is important to identify and minimize these factors to reduce uncertainty.

4. Why is uncertainty in measurement important?

Uncertainty in measurement is important because it allows us to understand the reliability and accuracy of our measurements. It helps us to make informed decisions based on the data we collect and to communicate the level of confidence in our results.

5. How can we reduce uncertainty in measurement?

There are several ways to reduce uncertainty in measurement, including using more precise instruments, improving measurement techniques, and minimizing external factors that could affect the measurement. It is also important to properly document and report the uncertainty associated with a measurement.

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