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# LOFAR LBA imaging tutorial
Basic LOFAR imaging with an LBA station, based on the tutorial provided by Michiel Brentjens (github.com/brentjens). This notebook is compatible with Python 2.7.
Basic LOFAR imaging with an LBA station, based on the tutorial provided by Michiel Brentjens (github.com/brentjens). This notebook is compatible with Python 2.7 and 3.6, but get in contact if you experience any issues.
### To start the notebook
`>> jupyter notebook`
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`Kernel > Restart & Run All`
### Notes
This ships with an example dataset (20170720_095816_xst.dat), obtained using station DE603LBA, specifically collecting data in subband 297 (58 MHz). It should run on any other dataset, provided the station name and subband are changed accordingly. By default, it visualises timestep #5 of the 30 timesteps of integration, but this can also be modified to any other time slice.
This ships with an example dataset (20170720_095816_mode_3_xst_sb297.dat), obtained using station DE603LBA, specifically collecting data in subband 297 (58 MHz). It should run on any other dataset, provided the station name and subband are changed accordingly. By default, it visualises timestep #0 of the 30 timesteps of integration, but this can also be modified to any other time slice.
### Release: Version 4
Update to automatically parse some information from data file names, based on the wrapper script written by Mattia Mancini for recording station data. Some formatting removed for compatibility with different operating systems. To obtain the LOFAR antenna database needed for antenna positions, please install: https://github.com/brentjens/lofar-antenna-positions
### Release: Version 3
Notebook has been updated to include station calibration for LBA (HBA to come later). This requires the "caltables" folder to be in the same directory as the notebook, but that can be changed as long as the location is changed also in the function. The calibration tables themselves are not included in this repository due to their size, but you can access them here (~65 MB download): http://astron.nl/~moss/caltables.zip