Damage formation and annealing studies of low energy ion implants ...

Damage formation and annealing studies of low energy ion implants ... Damage formation and annealing studies of low energy ion implants ...

usir.salford.ac.uk
from usir.salford.ac.uk More from this publisher
23.03.2013 Views

4.2.1.7 Energy straggling and system resolution, resulting in a convolution of the peaks with Gaussian distributions MEIS energy spectra are modified from idealised profiles by two unavoidable effects, i.e. energy straggling and the system resolution, causing the idealised profiles to become convoluted with error functions. As an energetic particle moves through a sample it loses energy through many individual encounters. These encounters are subject to statistical fluctuations. Two ions with an identical initial energy are unlikely to have the same energy after passing through the same thickness of a sample. This effect is called energy straggling, (Ωs), and this places a finite limit on the accuracy of the energy losses and hence the depths that can be resolved. It is difficult to calculate the exact amount of straggling, but a theoretical expression that estimates the amount of energy straggling was derived by Bohr and extended by Lindhard and Scharff: 2 B 2 2 ( z e ) Nz t Ω = (4.10) 4π 1 2 where N is the density and t is the layer thickness. This indicates that the energy straggling is proportional to the square root of the layer thickness. Energy straggling also varies with atomic species and the electron density but not the beam energy (4). Theory predicts that the straggling produces approximately a Gaussian distribution from a mono energetic incident beam. Backscattering spectra most often display the integral of the Gaussian distribution (error function) rather than the Gaussian distribution as shown in Figure 4.7 b) and a) respectively. The full width half maximum (FWHM) of a Gaussian corresponds to the 12% to 88% range of the error function and the ±Ω corresponds to the 16% to 84% range. The FWHM is equal to 2.355 times Ω (4). 75

Figure 4.7 a) Plot of a Gaussian distribution b) The error function in MEIS spectra is typically of the form of the integral of the Gaussian distribution. The standard deviation is indicated. From (4). The second effect referred to earlier is the system resolution. Many parts of the system are subject to statistical fluctuations of some kind. It is convenient to lump together the fluctuations from the major experimental causes. This is close to a Gaussian distribution and can be characterised by the standard deviation Ωr, commonly referred to as the system resolution. The main contribution to the system resolution is the energy resolution of the detector. At the Daresbury facility ∆E/E is ~ 0.35%. Other contributions to the system resolution include the energy spread in the analysing beam, the acceptance angle of the detector and the width of the beam. The energy resolution is the most significant contributor. In the same way as the depth scale is calculated, the depth resolution can be calculated by applying the energy error of the analyser. The resolution is dependent on the scattering configuration but a depth resolution of 0.6 nm is typical (17). To improve the overall depth resolution, scattering configurations that result in long pathways through the sample are used. Using a beam energy where the rate of energy loss is high also improves the resolution. This means that better resolution is achieved with He compared to H. The absolute error of the detector is reduced using lower beam energies, and hence lower beam energies can improve the resolution. 76

4.2.1.7 Energy straggling <strong>and</strong> system resolut<strong>ion</strong>, resulting in a convolut<strong>ion</strong> <strong>of</strong> the<br />

peaks with Gaussian distribut<strong>ion</strong>s<br />

MEIS <strong>energy</strong> spectra are modified from idealised pr<strong>of</strong>iles by two unavoidable<br />

effects, i.e. <strong>energy</strong> straggling <strong>and</strong> the system resolut<strong>ion</strong>, causing the idealised pr<strong>of</strong>iles to<br />

become convoluted with error funct<strong>ion</strong>s.<br />

As an energetic particle moves through a sample it loses <strong>energy</strong> through many<br />

individual encounters. These encounters are subject to statistical fluctuat<strong>ion</strong>s. Two <strong>ion</strong>s<br />

with an identical initial <strong>energy</strong> are unlikely to have the same <strong>energy</strong> after passing<br />

through the same thickness <strong>of</strong> a sample. This effect is called <strong>energy</strong> straggling, (Ωs), <strong>and</strong><br />

this places a finite limit on the accuracy <strong>of</strong> the <strong>energy</strong> losses <strong>and</strong> hence the depths that<br />

can be resolved.<br />

It is difficult to calculate the exact amount <strong>of</strong> straggling, but a theoretical<br />

express<strong>ion</strong> that estimates the amount <strong>of</strong> <strong>energy</strong> straggling was derived by Bohr <strong>and</strong><br />

extended by Lindhard <strong>and</strong> Scharff:<br />

2<br />

B<br />

2 2<br />

( z e ) Nz t<br />

Ω =<br />

(4.10)<br />

4π 1<br />

2<br />

where N is the density <strong>and</strong> t is the layer thickness. This indicates that the <strong>energy</strong><br />

straggling is proport<strong>ion</strong>al to the square root <strong>of</strong> the layer thickness. Energy straggling<br />

also varies with atomic species <strong>and</strong> the electron density but not the beam <strong>energy</strong> (4).<br />

Theory predicts that the straggling produces approximately a Gaussian distribut<strong>ion</strong> from<br />

a mono energetic incident beam. Backscattering spectra most <strong>of</strong>ten display the integral<br />

<strong>of</strong> the Gaussian distribut<strong>ion</strong> (error funct<strong>ion</strong>) rather than the Gaussian distribut<strong>ion</strong> as<br />

shown in Figure 4.7 b) <strong>and</strong> a) respectively. The full width half maximum (FWHM) <strong>of</strong> a<br />

Gaussian corresponds to the 12% to 88% range <strong>of</strong> the error funct<strong>ion</strong> <strong>and</strong> the ±Ω<br />

corresponds to the 16% to 84% range. The FWHM is equal to 2.355 times Ω (4).<br />

75

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!