DataSet D107500

\[\mathrm{H}^{+} + \mathrm{Li} \; 3s \rightarrow \mathrm{Li}^{+}\]

Process HCX: Charge Transfer, HIN: Ionization, COM: Composite Process with Multiple Channels
Channel
  • H+ + Li 3s → Li+ + H
  • H+ + Li 3s → Li+ + H+ + e-
Data type cross section | uploaded on 2022-11-11
Comment Using AOCC64_65 to compute cross-section data. Fit function in equation (4a) from Schweinzer et al.
MethodAOCC: Atomic‐orbital close‐coupling
FrameTarget
Columns
  1. E /eV u-1
  2. sigma /cm2
Uncertainty10 %
Ref
  • B19: J. Schweinzer, R. Brandenburg, I. Bray, R. Hoekstra, F. Aumayr, R. K. Janev, H. P. Winter, "Database for inelastic collisions of lithium atoms with electrons, protons, and multiply charged ions", Atomic Data and Nuclear Data Tables 72, 239-273 (1999). [10.1006/adnd.1999.0815]
DataDownload (data from fit)

Fitted Data

Fit Function
Details		 \[\sigma_{H^+}^{TEL, \; Li(ns)}\big(E\big) = 10^{-16}A_1 \Bigg\{ \frac{e^{-A_2/E}\ln(1+A_3E)}{E}+ A_4\frac{e^{-A_5E}}{E^{A_6} + A_7E^{A_8}}\Bigg\}\]
Python 
def li_hel_ns_schweinz(E, A1, A2, A3, A4, A5, A6, A7, A8):
    """
    This function calculates proton impact ionization cross sections (in cm2)
    from ns states 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)*np.log(1 + A3*E))/E 
                     + A4*np.exp(-A5*E)/(E**A6 + A7*E**A8))
    return sigma
Fit Precision2.0 %
Fit Coefficients 
A1
 7.099e+01
A2
 1.958e+00
A3
 8.626e+04
A4
 8.435e+00
A5
 5.667e-01
A6
-1.066e-01
A7
 0.000e+00
A8
 0.000e+00
x-range –