Python based Radio Frequency Interference Mitigation Routines
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Updated
Mar 18, 2024 - Python
Python based Radio Frequency Interference Mitigation Routines
Research code developed for Breakthrough Listen (Berkeley SETI Research Center) applying CNNs to classify fast radio bursts (FRBs) vs. radio frequency interference (RFI)
TrAjectory BAsed RFI Subtraction and CALibration (TABASCAL) of radio interferometry data. A source to visibility model for astronomical and RFI sources including near-field effects. Visibility data is jointly calibrated with excision of specific RFI contamination.
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