Anomoly in calculations/standard value for electron energy levels

In summary, the energy levels of an atom can be found using the equation En=-13.6(Z/n)^2. However, when using this equation for xenon's ionization energy (Z=54), the resulting value of E=-39657.6eV is significantly different from the value of 12.127eV stated in the Modern Physics ed3 textbook by Serway/Moses/Moyer on page 323. This discrepancy is due to the fact that the equation calculates the energy required to remove the outermost electron from the atom, while the textbook's value refers to removing the first electron from the atom. Therefore, the two values cannot be directly compared.
  • #1
EnSlavingBlair
36
6
The energy levels of an atom are found by En=-13.6(Z/n)^2.

Using this equation for xenon's ionization energy (Z=54) gets E=-39657.6eV. However in the Modern Physics ed3 textbook by Serway/Moses/Moyer on pg232 it has the ionization energy for xenon to be 12.127eV.

Does anyone know what's going on and why the values are different?

Cheers,
nSlavingBlair
 
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  • #2
Looks to me that the ionization energy mentioned by Serway/Moses refers to ionizing the atom by removing one electron (the outermost of the 54 in total). Total charge of the ionization is +e, and this will cost you ~12 ev.

On the other hand, the way you use the formula is the case where you have one electron encircling the Z=54 core. So before removing the electron you would have a charge of +53e, and after extracting the electron (at a cost of ~40.000 ev) you end up with a bare core containing +54e.

So you are more or less comparing apples and pineapples here.
 
  • #3
Really? Because I learned that the energy that relates to each level by the aforementioned equation was the energy required to remove an electron from that energy state and out of the atom completely, hence ionizing the atom.

For hydrogen they are the same, the book says 13.595eV and using the equation that is what you get to 3 sig figs.

also I miss quoted the page before, it's on page 323, not 232
 
  • #4
nSlavingBlair said:
The energy levels of an atom are found by En=-13.6(Z/n)^2.

This is a strong over simplification. xempa is right.
In fact, it isn't even possible to give a closed-form solution for the energy levels of helium and one needs to resort to approximations or numerical techniques, so go figure.
 
  • #5
The equation you gave is for removing the last electron from an atom. The ionization energy is the energy for removing the first electron from an atom.
 
  • #6
That is, if you have a Xe+++++++++++++++++++++++++++++++++++++++++++++++++++++ ion :bugeye:, with 53 electrons removed and the remaining single electron in its ground state, that would be the ionization energy.
 

1. What is an anomaly in calculations?

An anomaly in calculations refers to a result that is significantly different from the expected or standard value. It could be due to errors in measurement, experimental conditions, or a limitation of the theoretical model being used.

2. How do you identify an anomaly in calculations?

Anomalies can be identified by comparing the calculated values to the expected or standard values, and looking for any significant differences or patterns in the data. Statistical analysis can also be used to determine the significance of the anomaly.

3. What causes anomalies in calculations?

Anomalies in calculations can be caused by a variety of factors such as errors in measurement or data entry, incorrect assumptions or simplifications in the theoretical model, or unexpected external factors affecting the experiment.

4. How do anomalies in calculations affect scientific research?

Anomalies in calculations can have a significant impact on scientific research as they can lead to incorrect conclusions or interpretations of data. It is important for scientists to identify and address anomalies in their calculations to ensure the reliability and validity of their research.

5. How can anomalies in calculations be prevented?

To prevent anomalies in calculations, scientists should carefully design their experiments, use reliable and precise measurement techniques, and thoroughly review and validate their data. It is also important to continuously refine and improve theoretical models to account for any potential anomalies.

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