karabo.imaging.imager_oskar

Overview

This package summarizes tools and functions to be used with the imager from the OSKAR backend. This backend does not offer functionality to calculate a cleaned image. You must use RASCIL or WSClean.

Classes

class OskarDirtyImagerConfig(imaging_npixel: int, imaging_cellsize: float, combine_across_frequencies: bool = True, imaging_phase_centre: str | None = None)

Config / parameters of an OskarDirtyImager.

Adds parameters specific to OskarDirtyImager.

imaging_npixel

see DirtyImagerConfig

Type:: int

imaging_cellsize

see DirtyImagerConfig

Type:: float

combine_across_frequencies

see DirtyImagerConfig

Type:: bool

imaging_phase_centre

Phase centre (in SkyCoord string format). Defaults to None.

Type:: Optional[str]

__init__(imaging_npixel: int, imaging_cellsize: float, combine_across_frequencies: bool = True, imaging_phase_centre: str | None = None) → None

class OskarDirtyImager(config: OskarDirtyImagerConfig)

Dirty imager based on the OSKAR library.

config

Config containing parameters for OSKAR dirty imaging.

Type:: OskarDirtyImagerConfig

__init__(config: OskarDirtyImagerConfig) → None

Initializes the instance with a config.

Parameters:: config (OskarDirtyImagerConfig) – see config attribute

create_dirty_image(visibility: Visibility, /, *, output_fits_path: Path | str | None = None) → Image

Creates a dirty image from a visibility.

Parameters:

visibility – Visibility object from which to create the dirty image. Contains the visibilities of an observation.
output_fits_path – Path to write the dirty image to. Example: /tmp/dirty.fits. If None, will be set to a temporary directory and a default file name. Defaults to None.

Returns:

Dirty image

Return type:

Image