Process | EIN: Ionization |
Data type | cross section | uploaded on 2022-11-11 |
Comment | Using Lotz formula from Lotz et al. (Eq.1) with Data Set 1B in Wutte et.al. (p 166) combined with 4p ionization energy from Wang et al. |
Method | semi-empirical |
Columns |
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Threshold | 0.870 eV |
Ref |
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Data | Download (data from fit) |
Fit Function Details |
\[\begin{align*} \sigma_{e}^{ion}\big(E\big) = 10^{-14} \Bigg(\frac{4}{EI} \ln\bigg(\frac{E}{I}\bigg)\Bigg[1-0.7 exp\bigg(\frac{-2.4(E-I)}{I} \bigg) \Bigg] \\ + \frac{8.2}{58E} \ln\bigg(\frac{E}{58}\bigg)\Bigg[1-0.6 exp\bigg(\frac{-0.6(E-58)}{58} \bigg) \Bigg]\Bigg) \end{align*}\] | ||
Python | def li_ein_lotz(E, I): """ This function calculates electron impact ionization cross sections (in cm2) of Li 4s to 4f. param E: requested electron-impact energy in eV type E: float, np.ndarray param I: ionization energy in eV type I: float """ sigma = 1e-14* ((1*4*np.log(E/I)/(E*I))*(1-0.7*np.exp(-2.4*(E/I -1))) + (2*4.2*np.log(E/58)/(E*58))*(1-0.6*np.exp(-0.6*(E/58 -1)))) return sigma |
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Fit Precision | 10.0 % | ||
Fit Coefficients |
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x-range | 0.86996 – |