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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.

DP3: streaming processing pipeline for radio interferometric data

(Py)Tango station control software stack with station services orchestrated and deployed using Nomad and Consul.

Central Monitoring and Operational Control of LOFAR Stations

The EveryBeam library is a library that provides the antenna response pattern for several instruments, such as LOFAR (and LOBES), SKA (OSKAR), MWA, JVLA, etc.

Rapthor: the LOFAR DDE Pipeline

Python backend and services for TMSS

CWL implementation of the LOFAR Pre-Processing Pipeline

Lots Of Things Used Somewhere

New implementation for the LOFAR stager in the Django framework.

HDL project code

Kas based Yocto image build to generate the OS images and support configuration / functionality around running PyPCC translators on LOFAR2 station raspberry pi CM4 modules.

New rendition of the Transients Pipeline. Original version: https://github.com/transientskp/tkp/tree/master

A fork of https://git.astron.nl/lofar2.0/cobalt, with only the Beamformer kernel code and tests. Refactored to make the code 'stand-alone' as much as possible, while still being somewhat compatible with the original code. Since the original repository is over 500 Mb, all large files have been pruned from the history.

ATDB implementation for the LDV (LOFAR Data Valorization) initiative.

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.