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Synthetic data are increasingly required for several purposes, from testing complex measurement methods to predicting model-based observational results to mitigating risk for future observatories by enabling effective pipeline testing. We thus advocate for funding for facilities to provide robust data simulators and publicly archive synthetic data.
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