.. _IDGImager.json#/:

IDGImager
=========

The IDGImager step it is an experimental step to produce snapshots images of an AARTFAAC observation at each time step. It leverages the Image Domain Gridder library (https://git.astron.nl/RD/idg).


.. _IDGImager.json#/inputs:

inputs
******


.. _IDGImager.json#/inputs/proxy_type:

proxy_type
++++++++++

:type: ``enum``

:default: ``CPU_OPTIMIZED``

:doc: Type of algorithm to do the gridding with IDG. The options are  `CPU_OPTIMIZED`, `CUDA_GENERIC`, `CPU_REFERENCE` or  `HYBRID`. Note that `CUDA_GENERIC` and `HYBRID` have to make use of a CUDA compatible GPU.

:symbols: ``CPU_OPTIMIZED``, ``CUDA_GENERIC``, ``CPU_REFERENCE``, ``HYBRID``


.. _IDGImager.json#/inputs/dl:

dl
++

:type: ``double``

:default: ``0.0``

:doc: Offset in l of the phase center `.`


.. _IDGImager.json#/inputs/dm:

dm
++

:type: ``double``

:default: ``0.0``

:doc: Offset in m of the phase center `.`


.. _IDGImager.json#/inputs/image_name:

image_name
++++++++++

:type: ``string``

:doc: Image name format`.` The %t will be replaced with the time sample id`.`

:default: ``image_t%t.fits``


.. _IDGImager.json#/inputs/image_size:

image_size
++++++++++

:type: ``integer``

:default: ``1024``

:doc: Linear resolution of the images to produce `.` It is assumed to have a equal number of pixels in ra and dec `.`


.. _IDGImager.json#/inputs/scale:

scale
+++++

:type: ``double``

:default: ``-1.0``

:doc: Scale in degrees of the pixel `.` If -1 is provided it will choose a suitable scale to fit the whole sky `.`