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Replication Data for: Lunar Crater Radio Telescope Science Model Dataset
Feb 1, 2024
Goel, Ashish; Pisanti, Dario, 2023, "Replication Data for: Lunar Crater Radio Telescope Science Model Dataset", https://doi.org/10.48577/jpl.D4SYJN, Philosophical Transactions of the Royal Society A, JPL Open Repository
This dataset was generated during a NIAC funded effort to create a ‘science forward model’ for the Lunar Crater Radio Telescope (LCRT). It uses the PyLinex framework developed by Jack Burns’ group at the University of Colorado to generate training and test data sets which combine...
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