Theoretical analysis of energy spectra of electrons reflected from targets

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Theory

Fig. 1. Model of scattering

Single scattering event

Analytical description of electron interaction with solids is based on kinematics and dynamics of elementary act of collision between two particles. One can use classical approach as long as it is possible to neglect quantum phenomena. This is a case when wavelength of a particle is below atomic distance in solids (~ 0.1 nm). Wavelength of electrons reaches this limit at their energies of below 150 eV.
For gases it is no problem to define what the ”elementary act” is. It is scattering on a molecule or atom of a gas. Although by itself gases are complex systems, but complete enough and valid data exist for most of its characteristics. And one can compare this data with theoretical calculations [1,2,3]. In contrast, for solids usually it is not easy, and more often just impossible to extract a separate process in the system of interacting particles. In such cases one uses model representation, and the model’s adequacy is judged by comparing of certain model based calculation and experiment.
Most often used is a model of electrons interaction with solids is based on two-system representation [
1,2,3]. One is a system of ions, internal electrons of which are practically the same like for separate atoms; and a gas of quasi-free electrons which consists basically of valence electron. This approach is applicable to normal metals and, in some extent, to semiconductors. Transition metals require more complex representation, like in frame of CLS-model (CLS stands for ”Collective electrons – Localized electrons – Sheath electrons) [4]. In electron gas of normal electrons single-particle and collective excitations of electrons can be efficiently separated and described in terms of dielectrics theory. Relating to the processes of ionization and excitation of atoms, one can use methods developed for single atoms. (Most of those are based on Born’s approaches).
In accordance with E.Fermi we represent the process of electron scattering in solids as one developed in two independent channels: in elastic and inelastic. In elastic channel electrons direction is changed in accordance with elastic cross section, without any energy losses. But in inelastic channel electrons direction is conserved and only energy losses take place. In other words the total cross section may be presented as:

                              (1)

where g – scattering angle, D – energy loss.

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Elastic cross section

Calculation of differential elastic cross section of electron scattering is a complex quantum mechanical problem. According to Mott [5] for no polarized relativistic beam differential by angle cross section of electron scattering on atom can be expressed in terms of two complex amplitudes. For the scattering event takes place in unshielded field of atoms kernel (Coulomb potential) Mott has provided analytical expression for those functions. As long as electron energy rises, the effect of shielding gets developed at higher scattering angles. This requires complex calculations to be carried out to find differential cross section of electron scattering [5]. Riley, MacCalum and Biggs [6] have evaluated differential cross sections of elastic electron scattering for all atomic numbers (up to 94) for energy ranging between 1 keV to 256 keV. They have proposed approximation for elastic scattering indicatrix valid for energy from hundred eV:

                             (2)

where Am, B, Cn – parameters depend on energy of incident electrons and atomic number of scattering media Z, Pn(x) – Legendre polynomials. Fig. 2 demonstrates differential cross sections of elastic scattering of electrons on different target materials and incident electron energy.

Fig. 2. Elastic cross section

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Inelastic cross section

Expression for elastic scattering of electrons on solid matter does not change much compared to elastic scattering on separate atom. In contrast, expression for inelastic interaction (second term of (1)) experiences a drastic change due to collective effects during electron passing through solid media.
Electrons during their passage through a solid matter are losing their energy not only due to ionization, but they experience strong inelastic scattering related to production of phonons, surface plasmons, etc. Relative weights of these interaction channels depend on energy of incident electrons, but anyway contribution of inelastic channels remains sufficient up to the incident beam energy of about 100 keV. Calculations usually face overwhelming mathematical complications when all inelastic channels are taken into account. Therefore, number of less detailed models for inelastic scattering are used [2].
Simple model, first proposed by Liljeqvist [7], is a modification of inelastic differential cross section used for description of scattering process in gaseous media:

                             (3)

where J – fitting parameter that effectively averages thresholds of real inelastic processes, Cin – coefficient that depends on target material. Exponent equal to 2 because there are ionization losses that contribute most to slowing down of electrons with energy above few keV, and the value has the same order of magnitude like volume plasmon, cross section of excitation of which is maximal among other inelastic processes.
Further refining of the model is based on representing of scattering on two subsystems: one of ions and another of gas of quasi-free electrons. In the normal metal electron gas, it is easy to separate single-particle (electron-hole) and collective (plasmonic) excitations. Calculations of the cross sections can be done in conformity with a formalism of a complex dielectric constant. For practical calculation, electron energy losses can be classified into losses for excitation of plasma oscillation (p) and losses for ionization of internal sheaths of atom (ion) [8]:

                             (4)

Akerman and Khlupin have provided the tables of calculated electron free path values for elementary processes, as well as average electron energy losses per path unit for incident electron energy in the range of 0.1…100 keV [9]. Those calculations are in a good agreement (10…15%) with experimental data for the wide range of atomic numbers.
Fig. 3 compares inelastic differential cross sections calculated with different models: solid line – formula (4), dash line – formula (3).

Fig. 3. Inelastic cross section

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Multiple scattering of electrons

The modern methods of theoretical description of multiple scattering of electron beams can be divided into analytical methods of solving corresponding transport equations and numerical methods. Analytical methods allow to process experimental data in terms of clear physical parameters, solve ill-conditioned and inverse problems of scattering theory. However, to achieve highly accurate description of electron scattering on heterogeneous target one should consider both elastic and inelastic scattering based exact solution of boundary problem.
For the differential density of electron flow N0, impacted to a target under the angle W0={q0,j0} with the initial energy E0 and passing down to target at the depth of x under the angle  W={q,j} with energy E0-D (Fig.1), transport problem can be represented as:

                      (5)

where n0 – concentration of target atoms,  s – complete scattering cross section, h=cosq.
Usually density of electrons transmitted through a target is represented as:

                      (6)

variables R и T are called as reflection and transmission functions  (Fig.1).
For practical purposes one needs to know either complete reflection and transmission coefficients or  spectra of reflected and transmitted electrons. Reflection function defines spectra of electrons reflected from a layer of target material. Analogously, transmission function defines spectra of electrons passed through a layer of target material. Complete reflection (transmission) coefficients can be calculated as an integral of the reflection (transmission) function over the full range of energy losses and reflection (transmission) angles.
Electrons flow density passing through uniform media on certain depth can be represented as a convolution of inelastic transmission function and path distribution function. Both of functions are solutions of problems independent one from another. Dividing of multiple scattering of electrons into scattering in elastic and inelastic channels is a consequence of dividing of elementary scattering act into two independent channels (1) [10]:

                              (7)

Tin - inelastic transmission function (general Landau solution), AR,T - path length distribution function.
Functions AR,T и  Tin are solutions of two independent problems: 1
) calculating of flow density of electrons gone through the path u in the layer of thickness d0 (“elastic” problem); and 2) calculating of flow density of electrons lost energy during going over the path u, assuming that they move straight forward (“inelastic” problem).

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Elastic problem

Path length distribution function has been defined on the base of the transport equation boundary problem [10]:

                      (8)

Elastic boundary problem analytical solution for electrons reflected from layer with d0 thickness was found in [11] in within small-angle approximation limits [12]:

                      (9)

where


 

elastic scattering differential cross section wel expansion coefficient in series by Legendre polynomial Pl(g), sel elastic scattering total cross section, n0 – concentration of target atoms, Q(x) – the Heaviside function.

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  Inelastic problem

For the first time inelastic problem analytical solution consistently considering energy losses fluctuations was founded by Landau [13]. Spectral distribution of electron flow which had initial energy E0 and went over the path u in homogeneous target: Tin(u,) was defined by inelastic single scattering cross section in().

                      (10)

The main problem at the solution of inelastic task is differential inelastic cross section choice that in solid inevitably will be the average interaction characteristics of thin layer preserving all the properties of solid but not of the individual atom [14]. While moving in solid electrons not only loose energy on ionization but suffer inelastic scattering related with phonons, bulk and surface plasmons birth, etc. [4,8]. Concrete choice of differential inelastic cross section is always a compromise between inelastic processes in given target detailed description and the universality of calculating proportions.
Tin(u,D) calculation methods have been defined by layer thickness d. If the layer thickness is of inelastic mean free path order then direct computation of series along the inelastic scattering repetition factor is fulfilled:

                      (11)

Tin(u,D) spectrum accent is the E=E0 energy peak domination which is described by the first item (11). Measurement with high energy resolution of electron peak gone through the layer without scattering and the field adjacent to E0 of one hundred eV order underlies the Electron Energy-Loss Spectroscopy (EELS).

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Reflection function

The calculation of electron energy spectra reflected from heterogeneous in depths targets is based on formulas (7), (9), (10).
Fig. 4 shows the spectra of electrons reflected from the layer: right angle of incidence, angle of observation 63° to the normal, initial energy 30 keV. Data points are taken from [15]. The target thickness is 0.44 mg cm–2 (triangles), 0.31 mg cm–2 (squares), and 0.16 mg cm–2 (circles). Continuous lines depict the related spectra calculated by (7), (9), (10). Theoretical calculations performed with formula (7), (9), (10) are seen to be in good agreement with Kulenkampff and Ruttiger’s experimental data [15]. The total inelastic cross section was determined from data in [9]. The elastic differential cross section wel(g) was found from tables [6].

Fig. 4. Spectra of electrons reflected from the Al layer

Single-deflection model &
Continuous slowing down approximation

Consistent solution of elastic problem &
Continuous slowing down approximation

Consistent solution of elastic problem &
Consistent solution of inelastic problem

Fig. 5. Different layer electrons scattering models

 q0 – incident angle, q - reflection angle, x – layer thickness, E0 – energy of incident electrons, R – reflection function, e - mean energy losses (averaged by electron path).

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Multilayer targets

Let discuss a specter calculation method for electrons reflected from multilayer targets [16].

Fig. 6. Reflection from multilayer target

Assume a target consists of layer of Material 1 with thickness d deposited on top of bulk Material 2 (Fig. 6). Suppose the following parameters are known:  R2 – reflection function from the bulk Material 2; r1, T1 – reflection and transmission function of Material 1. Then reflection function R1,2 - from layered target is given by expression:

                      (12)

where - integrating over energy losses and scattering angles range. Represent uniform target of Material 1 like one consisting of two layers. Applying the same approach like for nonuniform target one can get the expression:

                      (13)

Subtracting (13) from (12) and neglecting multiple strong scattering one arrives to the expression:

                               (14)

Expression (14) conserves agreement with a principle of invariance for the whole range of thicknesses d of nonuniform layer.

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Reflection function of multilayer targets

The calculation of electron energy spectra reflected from heterogeneous in depths targets is based on formulas (7), (9), (10), (14): two-layer targets, multilayer targets.  

Single-deflection model &
Continuous slowing down approximation

Consistent solution of elastic problem &
Continuous slowing down approximation

Consistent solution of elastic problem &
Consistent solution of inelastic problem

 Fig. 7. Different multilayer  electrons scattering models

q0 – incident angle, q - reflection angle, x1 – top layer thickness, x2 – middle layer thickness, E0 – energy of incident electrons, R – reflection index, e1 - mean energy losses for the top layer material, e2 - mean energy losses for the middle layer material.

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Conclusion

Our experiments on the electron probing of targets prove that the reflected electron spectra are highly informative. The developed spectra interpreting technique might become a base for nondestructive layer-by-layer analysis. Usual commercially available equipment for surface analysis, like Auger spectrometers, suits well for the proposed electron spectroscopy technique.
The self-consistent consideration of energy loss fluctuations makes it possible to treat properly experimental data both in the range of low losses and in the higher losses range responsible. This allows to describe the whole spectra altogether: not the peak part only, but the dome-shaped part as well.
In this work, we demonstrate the method’s potential by analyzing of depth and thickness of thin aluminum marker layer inside thick niobium target. The study of such a structure by conventional RBS method, which is most widely used for layer analysis, is impossible: only the niobium spectrum will be observed. Generally, in contrast to RBS; developed electron spectroscopy can analyze both light inclusions inside a heavy matrix, as well as heavy inclusions inside a light matrix - equally efficient [17].
Error in determining the layer thickness and depth for the targets used in this work does not exceed 1 nm. The errors of analysis originate from a number of factors:
1. The basic (yet avoidable) error is associated with the large spread in data for inelastic scattering cross sections win(D).
2. As soon as the present method compares spectra taken from a pure target and from the target under analysis, the higher the difference Z = |Z1Z2| of target components’ atomic numbers Z1 and Z2, the lower the error.
3. Energy and current resolution of energy analyzer and Q-meter obviously contribute to analysis error.
The relationship between the accuracy of depth profile analysis and the atomic number Z depends on the layer depth, initial energy, and energy resolution of the energy analyzer. So far, the detailed study of this subject is beyond the scope of this work.
An ease of varying of the electron probe energy sets important advantage of electron spectroscopy. The analyzed target thickness is comparable to the electron transport length ltr. Since ltr ~ E02, the change in the beam energy from E0 = 10 keV to E0 = 30 keV increases the analyzed thickness tenfold.
If the thickness of a multilayer structure does not exceed lin, one can study it with a sub-monolayer accuracy using REELS technique. The corresponding technique will be described elsewhere.

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References

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