Moseley's law and the determination of the screening constant

AI Thread Summary
The discussion revolves around verifying Moseley's law and determining the screening constant, σ, through x-ray fluorescence spectra of metallic samples. The challenge arises because σ is dependent on the atomic number, Z, complicating the fitting of a linear function to the data. A suggested approach is to plot the ratio of the square root of energy over R_y against Z, which may reveal a linear relationship that allows for the extraction of Moseley's constant. Participants emphasize the need to categorize transitions based on their quantum numbers to accurately analyze the data. The conversation highlights the intricacies of fitting data when multiple variables influence the outcome.
Arne H
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Homework Statement


The aim of a laboratory course was to measure the x-ray fluorescene spectra of 20 metallic samples. By comparison of the peaks in the energy spectra with known electronic transitions (e.g. ##K_α## of ##Cu##) the materials were identified.

After that, Moseley's law
$$ \sqrt{\frac{E}{R_y}}=(Z-\sigma_{n_1,n_2})\sqrt{1/n_1^2-1/n_2^2} $$
should be verified and the screening constant ## \sigma_{n_1,n_2} ## should be determined. The problem is, that ## \sigma_{n_1,n_2}## itself is (aside from ##n_1## and ##n_2##) a function of ##Z## (the atomic number), which means it isn't possible to just fit a linear function to the data.

Homework Equations


Moseley's law:
$$\sqrt{\frac{E}{R_y}}=(Z-\sigma_{n_1,n_2})\sqrt{1/n_1^2-1/n_2^2}$$

The Attempt at a Solution


At first I tried to fit the data, but that does not seem to make much sense to me..

Sorry for the equations, I am new here and don't know how to properly compile LaTeX equations... :sorry:

Moderator's note: LaTex edited. See e.g. https://www.physicsforums.com/help/latexhelp/
 
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What if you plotted ##\frac{\sqrt{\frac{E}{R_y}}}{ \sqrt{1/n_1^2-1/n_2^2} }## vs. ##Z## and fitted a straight line to that? Do you see how you can extract Moseley's constant from the fit?
 
Well, the curve actually shows a linear behaviour (I assume, you mean that ## \sqrt{1/n_1^2-1/n_2^2}## is constant ##\Leftrightarrow## the data has to be fitted for every transition found (## K_\alpha ##, ## K_\beta ##, ## L_\alpha ##, etc) seperately). But the problem is that ## \sigma ## seems to be also a function of ## Z ## (## \sigma < 0 ## for ## Z \geq 55## according to my course instruction)...
 
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