Applying least squares to measurement of nuclei masses and Q-value

In summary, the conversation discusses using the least squares method, particularly in matrix form, to find the best values for the masses of A and B as well as the Q-value. The question also raises concerns about whether the mass of the emitted electron needs to be accounted for and requests clarification on the context and level of the problem. Additionally, a minor point is made about the omission of units for the masses and Q in the attached image.
  • #1
schniefen
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Homework Statement
See attached image.
Relevant Equations
Q-value: The difference in mass between the mother atom and the daughter atom.
Consider the problem in the attached image. The difference between A and B is 0.0020(20). How does one use the least squares method, particularly in matrix form, to find the best value of the masses of A and B respectively, as well as the Q-value? Aren't more measurements needed for the masses and the Q-value?

ls.PNG
 
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  • #2
schniefen said:
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How does one use the least squares method, particularly in matrix form, to find the best value of the masses of A and B respectively, as well as the Q-value? Aren't more measurements needed for the masses and the Q-value?

View attachment 274740
Hi. Since no one has yet replied, I thought I’d chip in

Some clarification may be needed:

1) Why do you assume this is a ‘least squares’ question? The attachment mentions nothing about least squares.

2) The question ignores the mass of the emitted electron (assuming ##{\beta}^-## decay). This mass is about 0.0005u, so it is not negligible relative to the Q-value. (The anti-neutrino’s mass will be negligible though.) It is unclear whether or not the electron’s mass needs to be accounted for.

3) It is not clear (to me anyway) what the ‘matrix calculations’ might be. My gut feel is that the question is about some clever statistical method to reconcile partially consistent values. If so, ‘Introductory Physics Homework Help’ might not be the optimum place to ask. Can you provide some context? What course/level/topic is this from?

4) One minor point. Note that you have omitted units for the masses, and the attachment has omitted units for Q.

If you can clarify points 1-3, you might have a better chance of receiving some help.

Season's Greetings!
 
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FAQ: Applying least squares to measurement of nuclei masses and Q-value

1. How does the least squares method work in measuring nuclei masses and Q-value?

The least squares method is a statistical technique used to find the best fit line or curve for a set of data points. In the context of measuring nuclei masses and Q-value, it involves finding the line of best fit for the experimental data, which represents the relationship between the masses of different nuclei and their corresponding Q-values. This line of best fit can then be used to determine the unknown masses and Q-values of other nuclei.

2. What are the advantages of using the least squares method in this context?

The least squares method allows for a more accurate determination of nuclei masses and Q-values by taking into account all the data points and minimizing the errors between the experimental data and the line of best fit. It also provides a visual representation of the data, making it easier to identify any outliers or anomalies.

3. How do you account for uncertainties in the experimental data when using the least squares method?

The least squares method takes into account the uncertainties in the experimental data by assigning weights to each data point based on their uncertainties. This means that data points with smaller uncertainties will have a higher weight in determining the line of best fit, while data points with larger uncertainties will have a lower weight.

4. Can the least squares method be applied to all types of nuclei?

Yes, the least squares method can be applied to all types of nuclei as long as there is a relationship between their masses and Q-values. However, it is important to note that the accuracy of the results may vary depending on the quality and quantity of the experimental data.

5. Are there any limitations to using the least squares method in this context?

One limitation of the least squares method is that it assumes a linear relationship between the nuclei masses and Q-values. If the data does not follow a linear trend, the results may be inaccurate. Additionally, the method relies on the quality and quantity of the experimental data, so if there are any errors or outliers in the data, it may affect the accuracy of the results.

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