How Does FWHM Affect Spectral Resolution Calculation?

In summary, the conversation discusses the concept of FWHM (full width at half maximum) and its relation to the independent variable. The speaker also shares their attempt at solving a lab question involving FWHM and the limiting spectral resolution, R, using an assumed natural line width, L. However, their calculation is missing a unit conversion factor, resulting in an incorrect R value. The correct calculation involves converting the FWHM value from nm to GHz using the speed of light, and then substituting it into the formula to calculate R. The summary also includes encouragement to the speaker to keep up the good work and ask for further clarification if needed.
  • #1
chris_0101
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0

Homework Statement



FWHM is an expression of the extent of a function, given by the difference between the two extreme values of the independent variable at which the dependent variable is equal to half of its maximum value.

I have this lab that requires me to calculate the limiting Spectral resolution, R, from a measured FWHM value (2.131nm for example) and an assumed natuarl line width, L, of 1GHz. Whenever I solve for the R value it is the same as the FWHM since 1GHz converted to nm is a very small number.

So, Can anyone give me any feedback regarding this.

Thanks

Homework Equations



FWHM = sqrt(R^2 - L^2) - similar to the pythagorean theorem

rearranged for R

R = sqrt(FWHM^2 - L^2)


The Attempt at a Solution



R = sqrt(2.131^2 - 0.3 x 10^-10)

R = sqrt(2.131^2)

R = 2.131

Any help would be greatly appreciated.
 
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  • #2




Thank you for sharing your question and calculations. It is great to see that you are actively working on your lab and seeking feedback. I would be happy to provide some insights and feedback on your approach.

Firstly, your understanding of FWHM and its relation to the independent variable is correct. FWHM is a measure of the width of a function at half of its maximum value, and the difference between the two extreme values of the independent variable at this point is the FWHM value.

Regarding your calculation of the limiting spectral resolution, R, it is important to note that the value of 1GHz converted to nm is indeed a very small number (approximately 0.3 x 10^-10 nm). However, this does not mean that the R value should be the same as the FWHM value. The formula you have used, R = sqrt(FWHM^2 - L^2), is correct, but it is missing a unit conversion factor.

In order to convert the FWHM value from nm to GHz, you need to divide it by the speed of light (c) in nm/s. This will give you the equivalent value in GHz. Then, you can substitute this value into the formula to calculate the R value.

Therefore, the correct calculation would be:

R = sqrt((2.131/3x10^8)^2 - (0.3x10^-10)^2)

R = sqrt(7.1x10^-18 - 9x10^-21)

R = sqrt(7.1x10^-18)

R = 2.66x10^-9 GHz

I hope this helps clarify your calculations. Keep up the good work and don't hesitate to ask for further clarification if needed. Good luck with your lab!
 

Related to How Does FWHM Affect Spectral Resolution Calculation?

What does FWHM stand for?

FWHM stands for full width at half maximum.

What is the definition of FWHM?

FWHM is a measure of the width of a peak at half of its maximum height on a graph or spectrum. It is commonly used to quantify the width of spectral lines in scientific experiments.

What is the significance of FWHM?

FWHM is an important measure in various fields of science, including spectroscopy, chromatography, and signal processing. It is used to determine the resolution and precision of instruments and to compare the quality of data collected from different sources.

How is FWHM calculated?

FWHM is calculated by finding the difference between the two points on a graph or spectrum where the value is half of the maximum peak height, and then multiplying that value by 2. This gives the full width of the peak at half maximum.

What are some common problems associated with FWHM measurements?

Some common problems include noise in the data, overlapping peaks, baseline noise, and incorrect peak fitting. These issues can lead to inaccurate FWHM values and should be carefully considered when analyzing data.

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