EveryBeam

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  • License: GNU Lesser General Public License v3 (LGPLv3)
  • Author: Andre Offringa
  • Requires: Python >=3.6
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Project description

EveryBeam library

This package can be used to compute the beam response for a variety of radio telescopes, i.e.:

  • LOFAR
  • OSKAR
  • MWA
  • VLA
  • ATCA

This package also provides an abstract interface to a selection of beam responses for apperture arrays (LOFAR/OSKAR), and beamformed versions thereof. Currently implemented are:

  • Hamaker LOFAR model
  • OSKAR spherical wave model
  • OSKAR-dipole: work in progress
  • LOBEs: work in progress. A coefficient file is currently only available for a limited number of LOFAR stations. Selecting the LOBEs model defaults back to Hamaker, in case no coefficient file is available.

EveryBeam replaces the stand alone version of the LOFAR station response library (LOFARBeam).

EveryBeam is licensed under the terms of the GNU GPL3 license.

Documentation and Installation Instructions

Documentation along with installation instructions can be found at the provided links.

Usage with DP3

To use Everybeam within DP3 - the streaming visibility framework - DP3 needs to be compiled against EveryBeam. To do so, make sure DP3 can find EveryBeam by adding the EveryBeam install dir to the CMAKE_PREFIX_PATH.

A test measurement set is included in DP3 (tNDP3-generic.in_MS.tgz).

To simulate visibilities with a certain element model, use DP3 DP3.parset with DP3.parset a parset file with the following contents:

msin=tNDP3-generic.MS
msout=.
steps=[predict]
predict.usebeammodel=True
predict.elementmodel=oskardipole
predict.sourcedb=tNDP3-generic.MS/sky  # sourcedb file

Usage with WSClean

To use EveryBeam with WSClean (for A-term or primary beam corrections), WSClean needs to be compiled against EveryBeam. In order to do so, make sure WSClean can find EveryBeam by adding the EveryBeam install dir to the CMAKE_PREFIX_PATH.

Project details

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  • License: GNU Lesser General Public License v3 (LGPLv3)
  • Author: Andre Offringa
  • Requires: Python >=3.6
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0.6.1

0.6.0

0.5.8

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