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Fitting Raman Data using Python
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- čas přidán 8. 04. 2023
- In this video you will learn how to fit Raman data using lmfit library in Python.The link to the data and the code can be found below
github.com/man...
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Best wishes,
Manab
This is 100% what I was looking for! Many thanks
Thank you
Oh man, I have to work on this now. Thank you very much. Do you recommend any books about this?
check the official documentation of lmfit
@@DrManab Hi Dr. Manab. I was working on my investigation. It's crazy because I'm a statistician and I ended up doing my internship in a biotech company. I had to study all those concepts about spectroscopy, Raman, chemistry from zero.
I have a question for you. What happens when you are identifying an unknown component and you don't know the composition of the spectrum. Do I just have to guess the number of Lorentzians and try to fit the curve? Or there's a way to automatically detect the possible amounts of Lorentzians in the spectrum?
@@Eleochess You can write a code which will automatically fit your data without giving a guess. But in that case when you have several parameters, although the fit will converge it may give unphysical values.
Can we use this method for Penta or Hexa Layer graphene?
yes off course. Well for 3 or more layer graphene, you can also know the stacking sequence for example ABA or ABC
Thank you so much. When I update the parameters params.update(p1), I get this error : NotImplementedError: at expr=''
Do you have any idea?
Not sure
What is 2d peak?
The 2D peak is a very noticeable part of Raman scattering. It is caused by the double resonance process in graphene, which involves two phonon transitions. This peak is around 2700 cm-1 in the Raman spectrum of graphene. It is a key indicator of the number of graphene layers and the quality of the graphene sample.
name np is not defined
you need to install numpy