Deconvolution of the optical absorption spectra

Therefore, converting the wavelength axis to energy can provide more detailed and useful information for the deconvolution process.
  • #1
Fania C
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0
Hi people, i am doing the deconvolution of the optical absorption spectra of some quartz samples . The optical absorption spectra were obtained following a step annealing procedure.For the deconvolution i am using the Origin 9, so my question is.. Why in some articles i find the deconvolution converting the wavelength axis to energy? Why not to do the deconvolution with the wavelength, can to exist some razon for this?

Thanks !
 
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  • #2
The reason for converting the wavelength axis to energy is because it can provide more information about the optical absorption spectra. When the wavelength axis is converted to energy, it gives an indication of the amount of energy that is being absorbed by the sample, which can be used to determine the type of material or molecules that are in the sample. This can be useful for further analysis of the sample. Additionally, when the wavelength axis is converted to energy, it can help to identify any peaks or features in the spectrum that may otherwise be difficult to detect using the wavelength axis alone.
 

What is deconvolution of optical absorption spectra?

Deconvolution of optical absorption spectra is a mathematical process used to separate the individual components of a complex spectrum. It involves breaking down a mixed signal into its constituent parts in order to better understand and analyze the data.

Why is deconvolution of optical absorption spectra important?

Deconvolution of optical absorption spectra is important because it allows scientists to identify and quantify the different components present in a mixed spectrum. This is especially useful in fields such as spectroscopy, where it is often necessary to separate overlapping signals in order to accurately interpret experimental data.

How does deconvolution of optical absorption spectra work?

Deconvolution of optical absorption spectra works by using mathematical algorithms to separate the overlapping components of a spectrum. These algorithms take into account factors such as the shape and intensity of the signals, as well as any known properties of the components, to accurately deconvolve the spectrum.

What are some common applications of deconvolution of optical absorption spectra?

Deconvolution of optical absorption spectra is commonly used in fields such as chemistry, physics, and materials science to analyze data from spectroscopic techniques such as UV-Vis, IR, and NMR. It is also used in medical imaging and remote sensing to identify and separate different signals in complex images or spectra.

What are the limitations of deconvolution of optical absorption spectra?

Deconvolution of optical absorption spectra can be limited by factors such as the quality and complexity of the initial data, as well as the assumptions and parameters used in the deconvolution process. It is important for scientists to carefully consider these factors and validate their results to ensure the accuracy of their deconvolved spectra.

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