I have a XRD analysis from my sample. The noise level of figure is very high so I want to decrease these noises but I don't know which software to use. Matlab? Excel? X'pert Highscore? Which is adequate and how can I use them for smoothing?
Please do not 'remove noise' from data as peak shapes and positions will be affected by such data manipulations. Consider understanding why data is 'noisy'. (e.g. poorly crystalline sample, instrument alignment issues, X-Ray tube needs replacing etc)
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You should not remove the noise from your X-ray diffractogram, particularly if you're doing any sort of data analysis. Most importantly, smoothing will distort your peak shape. Although smoothing is not appropriate for XRD data, for other uses a Savitsky-Golay filter provides good smoothing while minimizing distortion.
Please do not 'remove noise' from data as peak shapes and positions will be affected by such data manipulations. Consider understanding why data is 'noisy'. (e.g. poorly crystalline sample, instrument alignment issues, X-Ray tube needs replacing etc)
Data manipulation is not recommended if you are going to do further analysis on the diffraction data.
If you only want to "see" it clearly, smoothing methods like FFT, 3-pt averaging, etc. can be applied. However, the peak position (lattice parameters) will be slightly different from what it should be, and the strain, size, etc. can not be calculated from the smoothed data.
You can scan for longer time to increase the signal. Make sure to select appropriate step size / binning size for the peak size.
For data manipulation to reduce noise, if the data has been acquired with a small step size you can consider re-binning the data to a coarser step size.
You can usually remove all the noises in X`pert software after applying "Determine Background and set Y-axis scale" unless the peak intensity is so weak and that`s not an easy job to remove the noise from the peak. You can smooth the plot ( however it`s not recommended though) by X`pert itself and after extracting the data you can do more adjustment using MATLAB software. But if it`s possible for you to redo the XRD I suggest you to do it by "grazing method" in order to higher the intensity of peaks afterwards that would be easy to remove the noise using the way I explained above by X`pert.
you should not remove it because mostly the noise maybe refer to the nature of your materials for example single walled carbon nano tubes and multi walled carbon nano tubes, the noises were reduce when transfer from single to multi layers carbon nano tubes.
According to me, do not 'remove noise' from data as peak shapes and positions will be affected by such data manipulations. Consider understanding why data is 'noisy'. (e.g. poorly crystalline sample, instrument alignment issues, X-Ray tube needs replacing etc)
You can use PANalytical X'Pert HighScore software.
But, it is preferable to not remove it because mostly the noise maybe refer to the nature of your materials for example single walled carbon nano tubes and multi walled carbon nano tubes, the noises were reduce when transfer from single to multi layers carbon nano tubes.
You should not remove the noise from your X-ray diffractogram, particularly if you're doing any sort of data analysis. Most importantly, smoothing will distort your peak shape. Although smoothing is not appropriate for XRD data, for other uses a Savitsky-Golay filter provides good smoothing while minimizing distortion.
Firstly it is not recommended to perform smoothing of data as well explained by most of them . Since most of the above recommended software's are paid, you can simply make use of Origin.