DataSet D802

\[\mathrm{e}^- + \mathrm{Be} \; 2s2p \; {}^{3}\mathrm{P} \rightarrow \mathrm{Be} \; 2s4d \; {}^{3}\mathrm{D} + \mathrm{e}^-\]


Process EEX: Excitation
Data type cross section | uploaded on 2022-05-26
Comment Analytic fits for electron-impact excitation collision strengths for BeI as a function of energy in terms of threshold
RecommendedYes

MethodTheory
Columns
  1. E /eV
  2. sigma /cm2
Threshold5.6985 eV
Uncertainty15 %
DataDownload (data from fit)

Fitted Data

Fit Function
Details
\[\Omega (x) = \left( \frac{x - 1}{x + A_1} \right) \left(A_2 \ln(x) + A_3 + \frac{A_4}{x} + \frac{A_5}{x^2} + \frac{A_6}{x^3} \right)\]
Python
def DA_fit_Be(x, A1, A2, A3, A4, A5, A6):
    """
    This function calculates the dimensionless collision strengths for electron 
    impact excitation of BeI.
    param x: requested electron-impact energy in threshold units
    type x: float, np.ndarray
    param Ai: fit coefficients
    type Ai: float
    """
    Omega = ((x-1)/(x+A1))*(A2 * np.log(x) + A3 + A4/x + A5/x**2 + A6/x**3)
    return Omega
Data Typecollision strength
Fit Coefficients
A1
-9.998e-01
A2
 1.227e+01
A3
-1.572e+01
A4
 1.800e+01
A5
 2.641e+00
A6
-4.550e+00
x-range –