There are many types of analytical functions and model profile fitting that we must choose during refinement using TOPAS programme. The model profile fitting include ;

1) FP - Fundamental Parameter approach

2) PV - Psuedo Voigt

3) PVII - Pearson 7

4) SPV - Split - Psuedo Voigt

5) SPVII - Split - Pearson 7

However, it is very important to choose the best model before starting the refinement and become a problem especially for beginner to determine.

Hence, what is the best ways or strategies to determine the model profile fitting in TOPAS ?

It is only base on the quality of raw data (high crystallinity, low background, peak shape - we must look all peaks or just the main peak)?

Does it depends on the initial information (instrument parameters, emission profile, corrections and etc.) which we loaded before the refinement?

Or we can simply choose the mathematical profile fitting for our XRD data?

Determine which function provides the best fit to the raw XRD data by the profile that results in the lowest error value. Our aim hopefully extended until Rietveld Refinement.

Please advise.

Thank you.

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