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Towards Megapixel Resolution Compressed Sensing Current Mapping of Photovoltaic Devices Using Digital Light Processing

Koutsourakis, G; Thompson, A; Blakesley, J C (2022) Towards Megapixel Resolution Compressed Sensing Current Mapping of Photovoltaic Devices Using Digital Light Processing. Solar RRL, 6 (5). 2100467

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Abstract

Photocurrent response mapping is a powerful imaging technique for assessing defects and losses in photovoltaic devices. However, it has not enjoyed widespread application since high resolution measurements of large samples can last several hours, while weak signals from micrometre-sized laser spots require lock-in amplification. An alternative approach presented recently is the use of digital micromirror devices combined with compressed sensing theory. There are significant benefits when using such methods, such as signal amplification, undersampling options and simplified measurement systems. Nevertheless, high computational requirements have limited the experimental application of this method to low resolution outputs. In this work we present the mathematical background and the experimental approach towards megapixel resolution, ultrafast compressed sensing current mapping, overcoming previous computational and experimental barriers. A high-power digital light processing projection system has been developed for the experimental application. Solutions to computational issues, sampling optimization and measurement strategies are presented. The projection-based measurement acquisition provides great flexibility regarding the sizes of photovoltaic devices that can be measured, while increasing measurement speed compared to previously reported implementations, with the capability to acquire current maps of 512 × 512 points in 45 minutes.

Item Type: Article
Subjects: Advanced Materials > Photovoltaics
Divisions: Electromagnetic & Electrochemical Technologies
Identification number/DOI: 10.1002/solr.202100467
Last Modified: 16 May 2022 10:31
URI: http://eprintspublications.npl.co.uk/id/eprint/9364

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