Semi ln plot- uncertainty estimation

In summary, the speaker is trying to calculate the uncertainty from a semi-ln plot and is confused about the standard errors obtained from linear fitting. They mention that the uncertainty for J' is much larger than the calculated value, but the other person explains that the uncertainty is not a direct value but rather a range of values that the calculated value could fall within. The speaker then realizes that they need to divide the range by 2 to get a more accurate approximation.
  • #1
Imperatore
30
0
Hello there!

There is a problem with calculating the uncertainty from semi- ln plot. The linear fitting gives standard errors as you can see in attached picture. In the Y axis are ln J values, obviously. If the intersection with y-axis, x=0, then we get the point y=b=-33,21, and it's ln J', so the J' equals: exp(-33,21), ok it works fine. But the uncertainty of J' gives then value of exp(0,212), which is about 10^14 factor greater than the calculated value of J'.

What's wrong with my solution?
 

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  • #2
Imperatore said:
But the uncertainty of J' gives then value of exp(0,212)
That is not what it gives. The uncertainty of 0.212 means your value 33.21 could also be 0.212 larger or smaller (there is a more mathematical statement behind it, but let's keep it at that level). What is exp(33.21 ± 0.212)?
 
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  • #3
I got it. Uncertainty is |exp(-33.21-0.212)-exp(-33.21+0.212)| equals 1,6 e-15 Is it really that simple?
 
  • #4
It is not that simple, and a better treatment would likely lead to asymmetric uncertainties. But looking at the up and down deviation gives some reasonable approximation.
 
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  • #5
Oh, I should devided that relation |exp(-33.21-0.212)-exp(-33.21+0.212)| by 2, obviously.
 

Related to Semi ln plot- uncertainty estimation

1. What is a semi-ln plot?

A semi-ln plot is a type of graph where one axis is plotted on a linear scale and the other axis is plotted on a logarithmic scale. This type of plot is often used to visualize data where one variable has a wide range of values and the other variable has a small range of values.

2. How is uncertainty estimated in a semi-ln plot?

Uncertainty in a semi-ln plot is estimated by calculating the standard error of the regression line. This is done by taking the square root of the mean squared error of the regression line.

3. Why is a semi-ln plot useful for estimating uncertainty?

A semi-ln plot is useful for estimating uncertainty because it allows for a better visualization of the data, particularly when there is a large range of values for one variable. It also allows for a more accurate estimation of uncertainty compared to a regular scatter plot.

4. What are the assumptions for using a semi-ln plot for uncertainty estimation?

The assumptions for using a semi-ln plot for uncertainty estimation include a linear relationship between the variables, homoscedasticity (constant variance) of the data, and normally distributed errors.

5. Can a semi-ln plot be used for any type of data?

No, a semi-ln plot is most useful for visualizing and estimating uncertainty in data that follows an exponential or power-law relationship. It may not be appropriate for other types of data, such as linear or quadratic relationships.

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