Jones Matrix Repository
This is a repository of Jones Matrices compatible with the Siamese simulations framework. All these modules obey the Siamese Standard Contracts: FrameWorks/StandardContracts. Any external module obeying the standard contracts can be straightforwardly plugged into Siamese to create a new simulator or extend an existing one.
Beam models
Simple WSRT beam (Oleg)
A simple cos^3 approximation to the WSRT beam: wsrt_beams.py. Checked in under Timba/WH/contrib/OMS/Siamese.
LOFAR CS1 LBA beams (Sarod)
sarod_cs1_beams.py. Checked in under Timba/WH/contrib/OMS/Siamese. Also requires this directory to be downloaded and built (with a simple make): cs1beams, so it's probably easier to directly check out and build Timba/WH/contrib/OMS/Siamese/cs1beams.
Simple Aperture Array beam (Sundaram)
embrace_beams.py. An idealised Aperture Array beam, implemented as a sinc function, but also taking into account foreshortening of the array due to observing sources away from the zenith. Should be used in conjunction with a pointing model to simulate the quantised pointing steps of the AA.
Pointing errors
Random pointing offsets (Oleg)
Random and/or evolving (sinusoidal in time) pointing offsets: oms_pointing_errors.py. Uses ErrorGens.py. Checked in under Timba/WH/contrib/OMS/Siamese.
Ionospheres
Toy ionosphere (Oleg)
Implements sinusoidal TID's and an evolving wedge. Uses a "flat world" geometry: oms_ionosphere.py. Also requires this module: iono_geometry.py, which can probably be replaced by another geometry.
Checked in under Timba/WH/contrib/OMS/Siamese.
uv-Plane Effects
Complex gains/phases (Oleg)
oms_gain_models.py. Implements random and/or evolving (sinusoidal in time) complex gain errors. Uses ErrorGens.py. Checked in under Timba/WH/contrib/OMS/Siamese.
Miscellaneous
Inverse w-correction (Oleg)
Apply this Jones to your sources to introduce a conjugate w-term, which will make them image correctly without the w-projection. oms_n_inverse.py. Checked in under Timba/WH/contrib/OMS/Siamese.
Read a simple text file (Rense)
If you have data in a text file that you want to use as input for your tree, you can use PyNode to write your own import node. The file readspec.py contains such a PyNode. It reads a file that contains one x column and a number of y columns