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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

Postal Subscription Code 80-972

2018 Impact Factor: 1.701

Front. Energy    2017, Vol. 11 Issue (1) : 4-22    https://doi.org/10.1007/s11708-016-0442-6
RESEARCH ARTICLE
Statistical analysis of recombination properties of the boron-oxygen defect in p-type Czochralski silicon
Nitin NAMPALLI(),Tsun Hang FUNG,Stuart WENHAM,Brett HALLAM,Malcolm ABBOTT
School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Sydney, NSW 2052, Australia
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Abstract

This paper presents the application of lifetime spectroscopy to the study of carrier-induced degradation ascribed to the boron-oxygen (BO) defect. Specifically, a large data set of p-type silicon samples is used to investigate two important aspects of carrier lifetime analysis: ① the methods used to extract the recombination lifetime associated with the defect and ② the underlying assumption that carrier injection does not affect lifetime components unrelated to the defect. The results demonstrate that the capture cross section ratio associated with the donor level of the BO defect (k1) vary widely depending on the specific method used to extract the defect-specific recombination lifetime. For the data set studied here, it was also found that illumination used to form the defect caused minor, but statistically significant changes in the surface passivation used. This violation of the fundamental assumption could be accounted for by applying appropriate curve fitting methods, resulting in an improved estimate of k1 (11.90±0.45) for the fully formed BO defect when modeled using the donor level alone. Illumination also appeared to cause a minor, apparently injection-independent change in lifetime that could not be attributed to the donor level of the BO defect alone and is likely related to the acceptor level of the BO defect. While specific to the BO defect, this study has implications for the use of lifetime spectroscopy to study other carrier induced defects. Finally, we demonstrate the use of a unit-less regression goodness-of-fit metric for lifetime data that is easy to interpret and accounts for repeatability error.

Keywords Czochralski silicon      boron-oxygen defect      injection dependent lifetime spectroscopy      goodness-of-fit      repeatability error     
Corresponding Author(s): Nitin NAMPALLI   
Just Accepted Date: 02 November 2016   Online First Date: 09 November 2016    Issue Date: 16 November 2016
 Cite this article:   
Nitin NAMPALLI,Tsun Hang FUNG,Stuart WENHAM, et al. Statistical analysis of recombination properties of the boron-oxygen defect in p-type Czochralski silicon[J]. Front. Energy, 2017, 11(1): 4-22.
 URL:  
https://academic.hep.com.cn/fie/EN/10.1007/s11708-016-0442-6
https://academic.hep.com.cn/fie/EN/Y2017/V11/I1/4
Type ID IDLS curve used to extract lifetime components References
Description tsurf tbulk,fixed tSRH,non-BO tSRH,BO
Constrained A Subtraction tDA tDA tDA (tLS−1tDA−1) [46,11]
B Separate tDA tDA tDA tLS [10,14]
C Simultaneous tDA, tLS tDA, tLS tDA, tLS tLS
Partially unconstrained D Free tsurf tLS tDA tDA tLS
E Free tbulk.fixed tDA tLS tDA tLS
F Free tSRH,non-BO tDA tDA tLS tLS
G Free tsurf, tbulk,fixed tLS tLS tDA tLS
H Free tsurf, tSRH,non-BO tDA tLS tLS tLS
Free / fully unconstrained I All free tLS tLS tLS tLS
J All free (no tSRH,non-BO) tLS tLS tLS [14]
Tab.1  Summary of fitting methods
Fig.1  Average repeatability error in inverse lifetime (circles) as a function of excess carrier density for IDLS data measured by PCD using the generalized method. Black line shows empirical fit to the data
Fig.2  IDLS data set showing measured inverse lifetime tDA−1 (black circles), tLS−1 (red squares) and (tLS−1tDA−1) (blue triangles) for the same sample modeled using method B (a) and method D (b). Grey points indicate data rejected for regression. Best fits to tLS−1and tDA−1 are indicated by the solid red line and dashed black line respectively. Fitted lifetime components are indicated by other colored lines: tbulk,fixed (yellow), tSRH,non-BO (purple), tsurf (green) and tSRH,BO (blue). Components determined from tDA fitting are indicated by dashed lines. Solid lines indicate unconstrained components determined from tLS fitting. Unit-less GOF metrics for tDA fitting (QDA), tLS fitting (QLS) and overall GOF for tDA and tLS fitting (Qglobal) are also indicated
Fig.3  Box plot of reduced Chi-square (QLS) for tLS fitted using various methods described in Table 1 (Median and MAD values of QLS are listed above plot. Dashed line at Q = 1 is shown for reference. Note that QLS is a unit-less quantity)
Fig.4  Box plot of the global reduced Chi-square (Qglobal) for fits to both tLS and tDA from the various fitting methods described in Table 1 (Median and MAD values of Qglobal are listed above plot. Dashed line at Q = 1 is shown for reference. Note that Qglobal is a unit-less quantity)
Fig.5  Box plot of best fit capture cross section ratio (k1) obtained using the fitting methods listed in Table 1 (Median and MAD of k1 for each method are listed above the plot. k1 value from the literature (klit) based on TDLS measurements [6] is denoted by red line)
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