Process | HCX: Charge Transfer, HIN: Ionization, COM: Composite Process with Multiple Channels |
Channel |
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Data type | cross section | uploaded on 2022-11-11 |
Comment | Fit based on equation (9). The cross-section was attribited 10% reltive error based on experience featured in Schweinzer et al. ADNDT 72 239 1999. |
Method | AOCC: Atomic‐orbital close‐coupling |
Frame | Target |
Columns |
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Threshold | 2.500 eV |
Uncertainty | 10 % |
Ref |
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Data | Download (data from fit) |
Fit Function Details |
\[\sigma_{p}^{hel, Na}(E) = A_1 \cdot 10^{-16}\Bigg[ \frac{e^{-\frac{A_2}{E}}\ln\big(1 + A_3E\big)}{E} + A_4\frac{e^{-A_5E}}{\big(A_7E\big)^{A_6}}\Bigg]\] | ||||||||||||||
Python | def na_hel(E, A1, A2, A3, A4, A5, A6, A7): """ This function calculates proton impact electron loss (ion + CX) cross sections (in cm2) of Na 3s to 5s. param E: requested electron-impact energy in keV/u type E: float, np.ndarray param Ai: fit coefficient type Ai: float """ sigma = A1*1e-16*((np.exp(-A2/E) * np.log(1 + A3*E))/E + A4*np.exp(-A5*E)/(A7*E)**A6) return sigma |
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Fit Coefficients |
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x-range | 0.2 – |