How to Apply Curve Fitting Algorithms for Magnetization Analysis in Origin 7?

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SUMMARY

The discussion focuses on applying curve fitting algorithms for magnetization analysis using Origin 7. The user aims to fit a log-normal distribution to magnetization data represented by the equation M(H,T) = ∑ W(x_i) Lang(H.A.x_i/T). Two primary methods for curve fitting are recommended: least squares fitting and maximum likelihood estimation (MLE). Both methods can utilize built-in functions in Origin 7 or custom code to determine the best-fit parameters for the log-normal distribution.

PREREQUISITES
  • Understanding of magnetization and applied field concepts
  • Familiarity with log-normal distribution
  • Knowledge of curve fitting techniques, specifically least squares and maximum likelihood estimation
  • Experience using Origin 7 software for data analysis
NEXT STEPS
  • Research how to implement least squares fitting in Origin 7
  • Explore maximum likelihood estimation methods for curve fitting
  • Consult the Origin 7 user manual for specific curve fitting instructions
  • Look for online tutorials on curve fitting algorithms and their applications
USEFUL FOR

Researchers and analysts in the fields of physics and materials science, particularly those working with magnetization data and utilizing Origin 7 for data analysis and curve fitting.

mhill
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hi, there my question is let's suppose we have the magnetization (M) versus the applied field (H) as

M(H,T)= \sum _{n=1}^{N} W(x_i ) (x_i ) Lang (H.A.x_{i}/T)

here 'A' is a constant 'T' is the temperature of system Lang(x) is the Langevin function coth(x)-1/x ,

My problem is how to use a curve fitting algorithm to solve the problem ,i am working under the assumption that W(x_i) i=1,2,3,...,N is a log normal distribution depending only on the value x_i

my curve fitting program is just 'Origin 7' i need the algorithm to curve-fitting to a certain given distribution W(x) thanks.

P.D in case you see this post in another forum, sorry i made a mistake erase this post and keep only the one made in the 'programming' forum.
 
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Hello,

Thank you for your question. It seems like you are trying to fit a log normal distribution to a set of data points in order to determine the parameters of your model. There are a few different approaches you could take to solve this problem using a curve fitting algorithm.

One approach is to use a least squares fitting method, which involves minimizing the sum of the squared differences between your model and the data points. This can be done using a built-in function in Origin 7 or by writing your own code to perform the fitting.

Another approach is to use a maximum likelihood estimation (MLE) method, which involves finding the parameters that maximize the likelihood of the observed data. This can also be done using a built-in function or by writing your own code.

In either case, you will need to specify the log normal distribution function and the data points you are trying to fit. The algorithm will then calculate the best-fit parameters for the distribution.

I suggest consulting the Origin 7 user manual or seeking help from their support team for more specific instructions on how to perform curve fitting using their software. Additionally, there are many online resources and tutorials available for using curve fitting algorithms in general, so you may find it helpful to do some additional research on this topic.

I hope this helps. Best of luck with your research.

 

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