Faro: a framework for measuring the scientific performance of petascale Rubin Observatory data products

@inproceedings{Guy2022FaroAF,
  title={Faro: a framework for measuring the scientific performance of petascale Rubin Observatory data products},
  author={Leanne P. Guy and Keith C. Bechtol and Jeffrey L. Carlin and Erik Dennihy and P. S. Ferguson and K. Simon Krughoff and Robert H. Lupton and Colin T. Slater and Krzysztof Findeisen and Arun Kannawadi and Lee S Kelvin and Nate B. Lust and Lauren A. Macarthur and Michael N. Martinez and S. L. Reed and Dan S. Taranu and W. Michael Wood-Vasey},
  booktitle={Astronomical Telescopes + Instrumentation},
  year={2022}
}
The Vera C. Rubin Observatory will advance many areas of astronomy over the next decade with its unique widefast- deep multi-color imaging survey, the Legacy Survey of Space and Time (LSST).1 The LSST will produce approximately 20TB of raw data per night, which will be automatically processed by the LSST Science Pipelines to generate science-ready data products – processed images, catalogs and alerts. To ensure that these data products enable transformative science with LSST, stringent… 

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