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Radio Telescope DSP Python package

This project is a fork of the original GPU De-dedispersion library (https://github.com/ajameson/dedisp/), intended to be used/modified for the FDD project.

A cookiecutter template ready to create a new Python project that will support C/C++ Binary Extensions in Wheels using scikit-build-core, pybind11 and cibuildwheel

CWL implementation of the LOFAR Pre-Processing Pipeline

Image Domain Gridding (IDG) is a fast method for convolutional resampling (gridding/degridding) of radio astronomical data (visibilities). Direction-dependent effects (DDEs) or A-tems can be applied in the gridding process.

LOFAR2 Beamformed Pulsar Folding Pipeline (PulP2-DSPSR-folding) in CWL implementation

Data Access Library (DAL) provides access to the HDF5 radio astronomy data produced by the LOFAR telescope, operated by ASTRON (Netherlands Institute for Radio Astronomy).

PyCommon Python library for TMSS backend