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SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.
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.
Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
LOFAR System Health Management
Singularity containers related to LOFAR
A python package that interacts with LoFAR LoTSS Survey Archives. Search for Sources, generate cutouts and download mosaics.