Complete Report - University of New South Wales
Complete Report - University of New South Wales
Complete Report - University of New South Wales
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In qualitative PL imaging, only the relative variation <strong>of</strong> the PL intensity across the sample is<br />
investigated. Such qualitative imaging was applied extensively by the buried contact group <strong>of</strong> the<br />
Centre and within a short period PL imaging was established as a standard characterisation<br />
technique. In fact the initial PL imaging set-up has been in such heavy demand that setting up<br />
<strong>of</strong> a second PL imaging system is planned for the fi rst half <strong>of</strong> 2006. A further improvement<br />
<strong>of</strong> the data acquisition speed by a factor 50 is anticipated for this new system. Within the<br />
fi rst few months <strong>of</strong> applying PL imaging as a process monitoring tool especially the buried<br />
contact group identifi ed various serious problems with standard processing sequences,<br />
that had previously been used for years [4.6.10, 4.6.11]. The fact that PL imaging is fast,<br />
simple to use and applicable to unfi nished cells turned out to be an invaluable combination<br />
in this context. Some examples <strong>of</strong> process induced defects identifi ed with PL images are<br />
shown in Fig.4.6.6.9. Various collaborative research projects with industry partners (see for<br />
example [4.6.12]) aim at demonstrating the capabilities <strong>of</strong> the system and at increasing the<br />
awareness in the PV community regarding the potential <strong>of</strong> this new technique. A mid-term<br />
goal is the demonstration <strong>of</strong> PL imaging as an industrial in-line process monitoring tool. The<br />
data acquisition speed in PL imaging is several orders <strong>of</strong> magnitude higher than in comparable<br />
imaging or mapping methods, making PL Imaging the only experimental technique that can<br />
provide high resolution images <strong>of</strong> the material quality from large area wafers in a matter <strong>of</strong><br />
seconds.<br />
Figure 4.6.6.9: Examples <strong>of</strong> effective process monitoring using PL imaging. Problems with<br />
standard processing sequences that could be identifi ed include amongst various others (from<br />
left to right): wafer handling using tweezers, furnace contamination; cracks. Each PL image<br />
is taken with a data acquisition time <strong>of</strong> only one second. Some more examples <strong>of</strong> process<br />
induced defects that were identifi ed with PL imaging are shown in Section 4.3.2.<br />
Theoretical work<br />
One complication in the analysis <strong>of</strong> QSS-PL lifetime measurements arises from the fact<br />
that at high carrier densities (>10 16 cm -3 ) the PL intensity no longer follows the product<br />
<strong>of</strong> electron and hole concentrations as given by Eq.1. It is well established and theoretically<br />
understood that the Auger coeffi cients in silicon decrease as a function <strong>of</strong> injection level due<br />
to the reduced Coulomb attraction between electrons and holes at high carrier densities.<br />
The reduced attraction <strong>of</strong> electrons and holes at high carrier densities also affects radiative<br />
recombination, which leads to an injection level dependence <strong>of</strong> the radiative recombination<br />
coeffi cient B(T,∆n). While we had earlier described the temperature dependence <strong>of</strong> B(T) at<br />
low injection levels [4.6.13], a detailed analysis <strong>of</strong> the injection level dependence has only been<br />
carried out very recently by P.P. Altermatt in collaboration with researchers from this Centre<br />
[4.6.14]. The injection level dependence <strong>of</strong> B is now used in our QSS-PL lifetime system to<br />
correctly interpret experimental photoluminescence data.<br />
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