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High-throughput experimentation provides efficient mapping of composition−property relationships, and its implementation for the discovery of optical materials enables advancements in solar energy and other technologies. In a high throughput pipeline, automated data processing algorithms are often required to match experimental throughput, and we present an automated Tauc analysis algorithm for estimating band gap energies from optical spectroscopy data. The algorithm mimics the judgment of andoi:10.1021/acscombsci.6b00053 pmid:27662410 fatcat:7q5csx32bvgzdkw7osqw7wxoyi