DataSet D7693

\[\mathrm{e}^- + \mathrm{O}^{4+} \; 2s^{2} \; {}^{1}\mathrm{S} \rightarrow \mathrm{O}^{4+} \; 2s3p \; {}^{1}\mathrm{P} + \mathrm{e}^-\]


Process EEX: Excitation
Data type rate coefficient | uploaded on 2022-07-21
comment

Methodsemi-empirical
Columns
  1. E /eV
  2. rate /cm3 s-1
Uncertainty50 %
Ref
  • B3: Y. Itikawa, S. Hara, T. Kato, S. Nakazaki, M. Pindzola, D. Crandall, "Electron-Impact Cross Sections and Rate Coefficients for Excitations of Carbon and Oxygen Ions ", Atomic Data and Nuclear Data Tables 33, 149-193 (1985). [10.1016/0092-640x(85)90025-7]
DataDownload (data from fit)

Fitted Data

Fit Function
Details
\[\begin{align*} \end{align*}\]
Python MISSING FIT FUNCTION
Fortran
c
c##############################################################################
c
c
c###################################################################
c
      subroutine fnagex(pt, pcf, kncf, pfit, kermsg)
c
c     this is an iaea subroutine to calculate the electron impact
c     excitation rate coefficients as a function of the electron
c     temperature.
c
c     pt = electron temperature in ev
c
c     pcf is the coefficient data array, where
c
c     pcf(1)  = itype, index for type of fit, either 1 or 2
c
c     pcf(2)  = excitation energy , v (also referred to as delta e)
c
c     pcf(3)  = lower limit of fitting of reduced energy x
c
c     pcf(4)  = upper limit of fitting of reduced energy x
c
c     pcf(5)  = statistical weight of initial state (2s+1)*(2l+1)
c
c     pcf(6)  = parameter a
c
c     pcf(7)  = parameter b
c
c     pcf(8)  = parameter c
c
c     pcf(9)  = parameter d
c
c     pcf(10)  = parameter e
c
c if ftype = 1 this can be followed by three more parameters for
c the region which contains resonances represented by a linear term
c
c     pcf(11)  = parameter p
c
c     pcf(12)  = parameter q
c
c     pcf(13)  = parameter x1, the upper limit of the range over which
c                the collision strength is represented by a linear
c                approximation.
c
c if ftype = 2, the pcf array element 10 can be followed by
c
c     pcf(11)  = parameter f
c
c and possibly three more parameters follow for the region which
c contains resonances represented by a linear term
c
c     pcf(12)  = parameter p
c
c     pcf(13)  = parameter q
c
c     pcf(14)  = parameter x1, the upper limit of the range over which
c                the collision strength is represented by a linear
c                approximation.
c
c     kermsg = blank if no errors
c
c     pfit = rate coefficient in cm[3]/s
c
c     written by j. j. smith , iaea atomic and molecular data unit
c     (taken from report ippj-am-27, y. itikawa et al, nagoya,
c      institute of plasma physics, nsgoya univ., (1983))
c
c------------------------------------------------------------------------
c
      double precision pt, pcf, pfit
      dimension pcf(14)
      character*(*) kermsg
      data s/0.5/
c
c	DH, Dec, 16, 2003 ---- kermsg = ' ' to avoid loop on error message ----
	kermsg = ' '
      itype = pcf(1)
      const = 8.010e-8 / (dsqrt(pt)*pcf(5))
      y = pcf(2) / pt
c
      if (kncf .lt. 12) then
c
c---    rate coefficient without resonances
c
        if (itype .eq. 1) then
c
c---    rate coefficient represented by power-log type of fit
c
          ra = pcf(6)/y + pcf(8) + s * pcf(9) * (1.0 - y)
          rb = pcf(7) - pcf(8)*y + s * pcf(9) * y * y + pcf(10)/y
          rnor = const * exp(-y) * y *  (ra + eiexp(y) * rb)
          rres = 0.0
c
        else if (itype .eq. 2) then
c
c---    rate coefficient represented by exponential type of fit
c
          ra = pcf(6) * (1.0 - eiexp(y)*y)
          f = pcf(11)
          rb = pcf(7) * exp(-f) / (f+y)
     1         + pcf(8) * exp (-2.*f) / (2.*f+y)
     2         + pcf(9) * exp (-3.*f) / (3.*f+y)
     3         + pcf(10) * exp (-4.*f) / (4.*f+y)
          rnor = const * exp(-y) * y *  (ra + rb)
          rres = 0.0
c
        else
            kermsg =
     1       ' invalid integer for fit type in fnagex - must be 1 or 2'
          return
        endif
c
      else
c
c---    rate coefficient with resonances
c
        if (itype .eq. 1) then
c
c---    rate coefficient represented by power-log type of fit
c
          x1 = pcf(13)
          y1 = y * x1
          ra = pcf(6)/y + pcf(8)/x1
     1         + s * pcf(9) * (1./(x1 * x1)  - y/x1)
     2         + pcf(10) * log(x1) / y
          rb = pcf(7) - pcf(8)*y + s * pcf(9) * y * y + pcf(10)/y
          rnor = const * y * exp(-y1) * (ra + eiexp(y1) * rb)
          rres = const * exp (-y) * (pcf(11) * (1. + 1./y)
     1         * (1. - exp ((1. - x1) * y) * (x1 + 1./y)
     2         / (1. + 1./y))  + pcf(12) * (1. - exp ((1. - x1) * y )))
c
        else if (itype .eq. 2) then
c
c---    rate coefficient represented by exponential type of fit
c
          x1 = pcf(14)
          y1 = y * x1
          ra = pcf(6) * (1. / x1 - eiexp(y1) * y)
          f = pcf(11)
          rb = pcf(7) * exp(-f*x1) / (f+y)
     1        + pcf(8) * exp (-2.*f*x1) / (2.*f+y)
     2        + pcf(9) * exp (-3.*f*x1) / (3.*f+y)
     3        + pcf(10) * exp (-4.*f*x1) / (4.*f+y)
          rnor = const * y * exp(-y1) * (ra + rb)
          rres = const * exp (-y) * (pcf(12) * (1. + 1./y)
     1         * (1. - exp ((1. - x1) * y) * (x1 + 1./y)
     2         / (1. + 1./y))  + pcf(13) * (1. - exp ((1. - x1) * y )))
        else
            kermsg =
     1       ' invalid integer for fit type in fnagex - must be 1 or 2'
          return
        endif
c
      endif
c
      pfit = rnor + rres
c
      if (pfit .le. 0.0d0) then
            kermsg =
     1  ' error reaction rate is negative check data and temp. range '
          return
        endif
c
      end
Fit Coefficients
pcf(1)
 1.000e+00
pcf(2)
 7.199e+01
pcf(3)
 1.010e+00
pcf(4)
 1.000e+02
pcf(5)
 1.000e+00
pcf(6)
-2.736e-01
pcf(7)
 3.828e-01
pcf(8)
-8.139e-02
pcf(9)
 0.000e+00
pcf(10)
 3.068e-01
kncf
 1.000e+01
x-range 14.542 – 7127.0