Fitting Raman Data using Python

[@AnWandKnall]

This is 100% what I was looking for! Many thanks

[@DrManab]

Thank you

[@Eleochess]

Oh man, I have to work on this now. Thank you very much. Do you recommend any books about this?

[@DrManab]

check the official documentation of lmfit

[@Eleochess]

@@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?

[@DrManab]

@@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.

[@vishnumantena9334]

Can we use this method for Penta or Hexa Layer graphene?

[@DrManab]

yes off course. Well for 3 or more layer graphene, you can also know the stacking sequence for example ABA or ABC

[@vishalkumar040393]

What is laser power used for Raman spectrum?

[@DrManab]

You can find the details on my old paper Appl. Phys. Lett. 108, 063506 (2016)

[@AshrafGNayel]

Thank you so much. When I update the parameters params.update(p1), I get this error : NotImplementedError: at expr='' Do you have any idea?

[@DrManab]

Not sure

[@baburaosimma9784]

How can we say that the peak well fits with exactly 4 lorenzians... Why it is neither more nor less?

[@DrManab]

You can try, it will not fit well with 3 or 2 or 1 or 5 lorenzians.

[@baburaosimma9784]

@@DrManab how can we figure it out just by seeing the curve?

[@DrManab]

@@baburaosimma9784 You cannot. You just have fit and see the R^2 value.

[@RahulRoy-hm6ex]

What is 2d peak?

[@DrManab]

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.

[@rajiblochanghadei5303]

name np is not defined

[@DrManab]

you need to install numpy