Propagation of uncertainty in the slope

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Discussion Overview

The discussion revolves around the propagation of uncertainty in the slope derived from a Birge-Sponer plot in a lab report on the electronic spectrum of iodine. Participants explore how to calculate uncertainties for specific parameters based on regression analysis results.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents the slope and intercept from their regression analysis and seeks to calculate the uncertainty of parameters related to the slope.
  • Another participant suggests rewriting the desired parameters in terms of the measured parameters, indicating a need for clarity in the equations.
  • A participant proposes a method to calculate the uncertainty of \( x_e' \) using derivatives and uncertainties of the measured parameters.
  • There is a correction regarding the presentation of the intercept value, with a suggestion to simplify the notation for clarity.
  • Another participant points out a potential mistake in the formulation of \( x_e' \), indicating that terms cancel out leading to a simplified expression.
  • Participants engage in refining their calculations and expressions for uncertainties, with some expressing uncertainty about the correctness of their approaches.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the correctness of the calculations and expressions for uncertainties. Multiple viewpoints and methods are presented, and some participants express uncertainty about their results.

Contextual Notes

There are unresolved issues regarding the definitions of measured parameters and the assumptions made in the calculations. The discussion includes corrections and refinements of earlier claims without establishing a definitive solution.

Jussi Lundahl
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I'm doing a lab report from electronic spectrum of iodine. I did Birge-Sponer plot from my data. Excel gave it to me a slope y = -2,0698x+133,34. From regression analysis I get uncertainties for slope and intercept.

Slope: ##-2,069761731 \pm 0,075075941##
Intercept: ##133,3385857 \pm 2,396753622##
But the real equation of the slope is $$\Delta E_{v'} = \tilde{\nu}_e'-2\tilde{\nu}_e'x_e'(v'+1)$$, where
$$\tilde{\nu}_e' = 133,3385857 \pm 2,396753622 $$
$$-2\tilde{\nu}_e'x_e' = -2,069761731 \pm 0,075075941 $$
$$(v'+1)=x $$.

Now the question: How I can calculate uncertainty of $$\tilde{\nu}_e'x_e'$$ and $$x_e'$$?
 
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I cleaned up your equations a bit. To do what you want you have to write your desired parameters in terms of your measured parameters (the slope and the intercept).
 
Dale said:
I cleaned up your equations a bit. To do what you want you have to write your desired parameters in terms of your measured parameters (the slope and the intercept).

So, you mean like this:
$$\tilde{\nu}_e' - 2\tilde{\nu}_e'x_e' = 0$$
$$ x_e' = \frac{\tilde{\nu}_e'}{2\tilde{\nu}_e'}$$

and the uncertainty is
$$\delta x_e' = \sqrt{ \left( \frac{\partial \frac{ \tilde{\nu}_e' }{2 \tilde{\nu}_e' }}{\partial \tilde{\nu}_e' } \times \delta \tilde{\nu}_e' \right)^2} $$
$$\delta x_e' = \sqrt{ \left( \frac{1/2}{\partial \tilde{\nu}_e'} \times 2,396753622 \right)^2}$$.

There for $$\delta x_e' =0.$$ Is this right?
 
Maybe. You haven't told us what your measured parameters are.

And by the way 133.3385857 +/- 2.396753622 should be 133.3 +/- 2.4. Do you understand why?
 
Vanadium 50 said:
Maybe. You haven't told us what your measured parameters are.

And by the way 133.3385857 +/- 2.396753622 should be 133.3 +/- 2.4. Do you understand why?

Yes, I understand. I just copy/paste the values from excel. :) What do you mean by measured parameters?

I think I figured out this problem...

$$Lets~calculate~x_e':$$
\begin{align*}
&& k= - 2\tilde{\nu}_e'x_e' &= -2,069761731\\ \\
\iff && x_e' &= -\frac{k}{2\tilde{\nu}_e'}\\ \\
\iff && x_e' &= \frac{2,069761731}{2\tilde{\nu}_e'} = 0,007761301
\end{align*}
and the uncertainty is:
\begin{align*}
&&\delta x_e' &= \sqrt{ \left( \frac{\partial x_e'}{\partial \tilde{\nu}_e' } \times \delta \tilde{\nu}_e' \right)^2 + \left(\frac{\partial x_e'}{\partial k} \times \delta k\right)^2} \\ \\
\iff && \delta x_e' &= \sqrt{\left(\frac{k}{2\times (\tilde{\nu}_e')^2} \times \delta \tilde{\nu}_e'\right)^2 + \left(-\frac{1}{2 \times \tilde{\nu}_e'}\times \delta k \right)^2} \\ \\
\iff && \delta x_e' &= \sqrt{ \left( \frac{-2,069761731}{2\times (133,3385857)^2} \times 2,396753622 \right)^2 + \left(-\frac{1}{2\times133,3385857}\times 0,075075941\right)^2} \\ \\
&& &= 0,000314195 \approx 0,001
\end{align*}
 
Jussi Lundahl said:
So, you mean like this:
$$\tilde{\nu}_e' - 2\tilde{\nu}_e'x_e' = 0$$
$$ x_e' = \frac{\tilde{\nu}_e'}{2\tilde{\nu}_e'}$$

and the uncertainty is
$$\delta x_e' = \sqrt{ \left( \frac{\partial \frac{ \tilde{\nu}_e' }{2 \tilde{\nu}_e' }}{\partial \tilde{\nu}_e' } \times \delta \tilde{\nu}_e' \right)^2} $$
$$\delta x_e' = \sqrt{ \left( \frac{1/2}{\partial \tilde{\nu}_e'} \times 2,396753622 \right)^2}$$.

There for $$\delta x_e' =0.$$ Is this right?
Sorry for necropost. There seems to be a mistake/typo here:

$$ x_e' = \frac{\tilde{\nu}_e'}{2\tilde{\nu}_e'}$$

Terms cancel out and we end up with 1/2.
 
Jussi Lundahl said:
Yes, I understand. I just copy/paste the values from excel. :
You can format numbers (and anything else) to show them in a variety of ways. Choose the decimal places and save yourself ink!
 

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