- Docmuentation (priority)
- Add database of inelastic mean free path (IMFP) of common materials
An example analyzing a Ge peak fit within CasaXPS.
import xps
# Shortcut for the XPS machine at Dalhousie
# xps_mach = 'Dalhousie'
# mach = xps.MACH_PARAM[xps_mach]
mach = {
'coef' : [0.9033, -4.0724, 5.0677, 1.1066],
'scale' : 0.01,
'work_func' : 4.6,
}
hv = xps.PHOTON_ENERGY['Al']
# Pass energy [eV], found from XPS operator
pe = 30
sfwagner_Ge = xps.sf.Ge['3d']['area']
data = xps.parser.CasaXPS('Ge_example.csv')
# Labels defined by user in CasaXPS fits
pk_lbl = 'Ge 3d'
be = data.binding_energy(pk_lbl)
area = data.area(pk_lbl)
ke = xps.kinetic_energy(be, hv, mach['work_func'])
t_fn = xps.transmission(ke, pe, mach['coef'], mach['scale'])
t_fn_wagner = 1/ke # Proportional to 1/KE
sf_mach = xps.sf_machine(sfwagner_Ge, t_fn, t_fn_wagner)
pk_corr = xps.peak_correction(area, sf_mach)
# NOTE Use the xps.XPSPeak(...) helper for convienence
# analyzed_Ge = xps.XPSPeak(pk_lbl, be, area, sfwagner_Ge, hv, pe, mach)
# NOTE Returns pandas.DataFrame with all parameters calculated.
# The user can also query parameters individually
# df = analyzed_Ge.get_data()
If using multple elements within a matrix (e.g. an alloy), you can utilize the
xps.matrix_factor
function. You require the inelastic mean free path
of electron scattering (imfp) of both species in bulk and the density, as
well as the imfp of the matrix at the measured kinetic energies of both
elements. For example, if you have two corrected peaks: pk_Mn_corr
, and
pk_Ge_corr
. The imfp can be calculated using the TPP-2M equation for
inelastic mean free path, found in the following reference:
S. Tanuma, C. J. Powel, D. R. Penn, Surf. Interf. Anal., Vol 21, 165 (1994)
import xps
# pk_Mn_corr and pk_Ge_corr calculated as in the example above
# a is the kinetic energy used to determine imfp of Ge in Bulk
imfp_matrix_a = 21.17
imfp_Ge_a = 29.84
rho_Ge_a = 5.32
# b is the kinetic energy used to determine imfp of Mn in Bulk
imfp_matrix_b = 14.17
imfp_Mn_b = 14.87
rho_Mn_b = 7.43
mat_fact = xps.matrix_factor(imfp_Ge_a, imfp_Mn_b,
mfp_matrix_a, mfp_matrix_b,
rho_Ge_a, rho_Mn_b)
relative_pk_Ge_corr = (pk_Ge_corr/pk_Mn_corr)*mat_fact
# NOTE because Mn is used as the normalizing component we can use its
# corrected peak value directly, all other elements require the matrix
# factor correction
print('Ratios of Mn and Ge in MnGe matrix')
print('Mn : {:0.4e}'.format(pk_Mn_corr))
print('Ge : {:0.4e}'.format(relative_pk_Ge_corr))
The data in Appendix 5 is reproduced and provided here for non-profit use with permission of the publisher John Wiley & Sons Ltd.
"Practical Surface Analysis by Auger and X-ray Photoelectron Spectroscopy", D. Briggs and M. P. Seah, Appendix 5, p511-514, Published by J. Wiley and Sons in 1983, ISBN 0-471-26279
Copyright (c) 1983 by John Wiley & Sons Ltd.
The original set of data first appeared in the following resource: C. D. Wagner, L. E. Davis, M. V. Zeller, J. A. Taylor, R. M. Raymond and L. H. Gale, Surf. Interface Anal., 3. 211 (1981)
Any use of this data must include the citations above in any work.
Electron IMFP can be calculated from using the Tanuma, Powel, Penn modified (TPP-2M) equation derived from equations (3), (4b,c,d,e) and (8) in the following reference:
S. Tanuma, C. J. Powel, D. R. Penn, Surf. Interf. Anal., Vol 21, 165 (1994)
For convienence the IMFP TPP-2M equation is located in xps.scatter
and
can be used as such:
from xps import scatter
# Mn example
kinetic_energy = 1000 # Can be calculated from xps.kinetic_energy
rho = 7.43 # [g/cc]
Nv = 7 # valence electrons
M = 53.938 # atomic mass
bandgap_energy = 0 # [eV]
# Return SI units [m]
imfp_Mn = scatter.imfp_TPP2M(kinetic_energy, rho, M, Nv,
bandgap_energy, 'SI')
The value here can be used in the xps.matrix_factor
calculations
outlined above.