Explore projects
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ResearchAndDevelopment / DP3
GNU General Public License v3.0 onlyDP3: streaming processing pipeline for radio interferometric data
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COBALT / cobalt
Apache License 2.0COBAlt; COrrelator and Beamformer Application for the LOFAR Telescope using CUDA and GPU technologies.
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LOFAR2.0 / tango
Apache License 2.0(Py)Tango station control software stack with station services orchestrated and deployed using Nomad and Consul.
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ResearchAndDevelopment / LINC
Apache License 2.0LOFAR Initial Calibration Pipeline, previously known as prefactor
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LOFAR2.0 / Opah
Apache License 2.0Monitor and control components for the station and central operational systems.
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Maaijke Mevius / clocktec
Apache License 2.0Updated -
LOFAR2.0 / Grafana Station Dashboards
Apache License 2.0The Grafana dashboards that are to be deployed on a station, as well as mirrored centrally.
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David McKenna / lofar-station-calibration
Apache License 2.0Updated -
Nathan Rozendaal / EveryBeam-Refactor
GNU General Public License v3.0 onlyThe EveryBeam library is a library that provides the antenna response pattern for several instruments, such as LOFAR (and LOBES), SKA (OSKAR), MWA, JVLA, etc.
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ResearchAndDevelopment / TraP
Apache License 2.0New rendition of the Transients Pipeline. Original version: https://github.com/transientskp/tkp/tree/master
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ResearchAndDevelopment / rapthor
GNU General Public License v3.0 or laterRapthor: the LOFAR DDE Pipeline
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ResearchAndDevelopment / Predict
Apache License 2.0Updated -
ResearchAndDevelopment / RECRUIT / ccglib
Apache License 2.0Complex Common GEMM Library provides complex GEMM kernels for complex data.
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ASTRON SDC / atdb-ldv
Apache License 2.0ATDB implementation for the LDV (LOFAR Data Valorization) initiative.
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ASTRON Templates / Python Package
Apache License 2.0A cookiecutter template ready to create a new Python project that will automatically contain a CI/CD pipeline for building, testing and deploying a python package
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ResearchAndDevelopment / idg
GNU General Public License v3.0 onlyImage 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.
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