Process | HEX: Excitation |
Data type | cross section | uploaded on 2022-11-11 |
Comment | Using AOCC64_65 to compute cross-section data. Fit function in equation (3) from Schweinzer et al. |
Method | AOCC: Atomic‐orbital close‐coupling |
Frame | Target |
Columns |
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Uncertainty | 10 % |
Ref |
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Data | Download (data from fit) |
Fit Function Details |
\[\sigma_{H^+}^{TX}\big(E\big) = 10^{-16}A_1 \Bigg\{ \frac{e^{-A_2/E}(A_{12} + \ln(A_{11}+A_3E))}{E}+ A_4\frac{e^{-A_5E}}{E^{A_6}} + A_7\frac{e^{-A_8E}}{1+A_9E^{A_{10}}}\Bigg\}\] | ||||||||||||||||||||||||
Python | def li_hex_schweinzer(E, A1, A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12): """ This function calculates proton impact excitation cross sections (in cm2) of Li. param E: requested proton-impact energy in keV/u type E: float, np.ndarray param Ai: fit coefficient type Ai: float """ sigma = 1e-16*A1*((np.exp(-A2/E)*(A12 + np.log(A11+ A3*E)))/E + A4*np.exp(-A5*E)/E**A6 + A7*np.exp(-A8/E)/(1+A9*E**A10)) |
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Fit Precision | 2.0 % | ||||||||||||||||||||||||
Fit Coefficients |
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x-range | – |