DPPP: Default Pre-Processing Pipeline

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Ada Coda
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DPPP: Default Pre-Processing Pipeline

Post by Ada Coda » Fri Apr 27, 2018 6:07 pm

DPPP: Default Pre-Processing Pipeline

Abstract: DPPP (Default Pre-Processing Pipeline, also referred to as NDPPP) reads and writes radio-interferometric data in the form of Measurement Sets, mainly those that are created by the LOFAR telescope. It goes through visibilities in time order and contains standard operations like averaging, phase-shifting and flagging bad stations. Between the steps in a pipeline, the data is not written to disk, making this tool suitable for operations where I/O dominates. More advanced procedures such as gain calibration are also included. Other computing steps can be provided by loading a shared library; currently supported external steps are the AOFlagger (ascl:1010.017) and a bridge that enables loading python steps.

Credit: van Diepen, Ger; Dijkema, Tammo Jan; Offringa, André

Site: https://github.com/lofar-astron/DP3
http://adsabs.harvard.edu/abs/2016MNRAS.456.1791M

Bibcode: 2018ascl.soft04003V

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2018ascl.soft04003V

ID: ascl:1804.003
Last edited by Ada Coda on Tue Feb 25, 2020 9:16 pm, edited 1 time in total.
Reason: Updated code entry.

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