How to find the value of a constant experimentally?

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Discussion Overview

The discussion revolves around the experimental determination of a constant in a non-linear equation, specifically focusing on methods to linearize the equation and analyze data to extract the constant's value. Participants explore various approaches to plotting data and fitting curves, as well as the implications of using different tools for analysis.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions how to find the value of a constant experimentally from a non-linear equation, suggesting linearization as a potential method.
  • Another participant proposes plotting the experimental values of I against B4/3 to facilitate the extraction of the constant A.
  • A later reply seeks clarification on what linearizing the equation entails, indicating some confusion about the process.
  • One participant suggests plotting the theoretical equation for low values of B and using the slope from the plot to determine A.
  • Several participants recommend using error bars in the plots to enhance the analysis, with one emphasizing the importance of visual methods over software like Excel for data fitting.
  • There is a discussion about the reliability of hand-drawn plots versus computer-generated graphs, with differing opinions on the effectiveness of each method.

Areas of Agreement / Disagreement

Participants express differing views on the best methods for data analysis and the use of software versus manual plotting. No consensus is reached regarding the optimal approach to linearization or the interpretation of error analysis.

Contextual Notes

Participants mention the need for error analysis and the potential limitations of using software tools, but do not resolve the specifics of these issues. The discussion reflects various assumptions about the data and the methods employed.

Who May Find This Useful

This discussion may be of interest to those involved in experimental physics, data analysis, or anyone seeking to understand methods for determining constants from non-linear equations.

happyparticle
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TL;DR
How to linearized an equation to find the slope
Hi,
First of all, sorry if this is not the right place to post my question I was not sure where exactly to post this kind of question.

I'm wondering how can I find the value of a constant experimentally.
For instance, I have a equation ##l = AB^{4/3}##, with a set of data for ##I## and ##B##.
If the equation above was linear I could find the slope of the graph to get the value for ##A##.

However, this is not a linear equation.
I wondering if I have to linearize the equation and then find the slope to get the value for ##A##?
If so, how exactly I linearize it?

For instance an equation like ##A = BC^{2}e^{-D/C}## could be linearized by multiplying both side by ln, I think.

Thank you
 
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You could always plot I on one axis and B^{4/3} on the other.
 
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Vanadium 50 said:
You could always plot I on one axis and B^{4/3} on the other.
Alright,
One more thing, in my case, what exactly linearized the equation means?
 
I must reformulate my question.
I have a set of value for ##l## and ##B## which gives me a curve when I plot it and I'm confident that this is the right curve.
However, I would like to plot the theoretical equation which is ##l=AB^{3/2}## only for low value of ##B##.
I'm not sure how to do that. This is probably why my question was confusing.
I think I have to find ##A## first then plug ##A## with my values of ##B## to find ##l## ? I'm not sure if that makes sense.
 
Here is what I would do.
Plot the experimental values of I vs B3/2. Put estimated error bars on each plotted point (I, B3/2). Draw the best straight line (yes use a ruler) through the points: the slope will equal A.
Use this value for A to create the curve over the region you desire.

If I knew more about the data I might use a different method., but you are on the right track. The error bars are a useful guide.
 
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hutchphd said:
Here is what I would do.
Plot the experimental values of I vs B3/2. Put estimated error bars on each plotted point (I, B3/2). Draw the best straight line (yes use a ruler) through the points: the slope will equal A.
Use this value for A to create the curve over the region you desire.

If I knew more about the data I might use a different method., but you are on the right track. The error bars are a useful guide.
If you don't like the ruler method, use Xcel to create a table with I and B3/2, have it determine the linear regression coefficients in that table to get A. Then create a new table of I in one column and AB3/2 in the other and have it make a chart that way.
 
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ohwilleke said:
If you don't like the ruler method
I prefer it when there are error "rectangles" on the data (EXCEL doesn't do that easilly as far as I know) You eyeballs do a remarkable good "RMS" fit. But I do (or at least did) love EXCEL for data. Saved me hundreds of man-hrs.
 
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Yeah, I would rather hand-draw it than Excel. Hand-drawing gives you perspective, so it's a better place to start. Also, the error analysis doing this is not quite right, and Excel makes things look more certain than they actually are. After all, it came out of a computer - what could possibly be wromg?
 
Vanadium 50 said:
After all, it came out of a computer - what could possibly be wromg?
"Garbage in, Gospel out"
 
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