SingleCellCoadd¶

class lsst.cell_coadds.SingleCellCoadd(outer: OwnedImagePlanes, *, psf: ImageD, inner_bbox: Box2I, inputs: Iterable[ObservationIdentifiers], common: CommonComponents, identifiers: CellIdentifiers, aperture_correction_map: SingleCellCoaddApCorrMap = {})¶

Bases: CommonComponentsProperties

A single coadd cell, built only from input images that completely overlap that cell.

Parameters:

outerOwnedImagePlanes: The actual coadded images.
psfImageD: The coadded PSF image.
inner_bboxBox2I: The bounding box of the inner region of this cell; must be disjoint with but adjacent to all other cell inner regions.
inputsIterable [ObservationIdentifiers]: Identifiers of observations that contributed to this cell.
commonCommonComponents: Image attributes common to all cells in a patch.
identifiersCellIdentifiers: Struct of identifiers for this cell.
aperture_correction_mapfrozendict [str, float], optional: Mapping of algorithm name to aperture correction value for this cell.

Notes

At present we assume a single PSF image per cell is sufficient to capture spatial variability, which seems adequate given the results we have so far and the cell sizes we intend to use.

Attributes Summary

`aperture_corrected_algorithms`	An iterable of algorithm names that have aperture correction values.
`aperture_correction_map`	Mapping of algorithm name to aperture correction values.
`band`	String label for the filter bandpass.
`common`	Struct of image components common to all cells in a patch.
`identifiers`	Struct of unique identifiers for this cell.
`inner`	Image planes within the inner region of this cell that is disjoint with all other cell inner regions.
`inputs`	Identifiers for the input images that contributed to this cell, sorted by their `visit` attribute first, and then by `detector`.
`outer`	Image planes within the full outer region of this cell.
`psf_image`	The coadded PSF image.
`units`	Units of the coadd's data pixels.
`visit_count`	Number of visits that contributed to this cell.
`wcs`	World Coordinate System object that maps the pixel grid to sky coordinates.

Methods Summary

make_view(image[, bbox])

Make a view of an image, optionally within a given bounding box.

Attributes Documentation

aperture_corrected_algorithms¶

An iterable of algorithm names that have aperture correction values.

Returns:

aperture_corrected_algorithmstuple [str, …]: List of algorithms that have aperture correction values.

aperture_correction_map¶

Mapping of algorithm name to aperture correction values.

Returns:

aperture_correction_mapfrozendict [str, float]: Mapping of algorithm name to aperture correction values.

band¶

String label for the filter bandpass.

May be None only for coadds that represent a combination of multiple passbands (e.g. chi^2 detection coadds), not just to indicate absence of knowledge.

common¶

identifiers¶: Struct of unique identifiers for this cell.

inner¶: Image planes within the inner region of this cell that is disjoint with all other cell inner regions.

inputs¶: Identifiers for the input images that contributed to this cell, sorted by their visit attribute first, and then by detector.

outer¶: Image planes within the full outer region of this cell.

psf_image¶: The coadded PSF image.

units¶: Units of the coadd’s data pixels.

visit_count¶: Number of visits that contributed to this cell.

wcs¶: World Coordinate System object that maps the pixel grid to sky coordinates.

Methods Documentation

make_view(image: ImageLike, bbox: Box2I | None = None) → ImageLike¶

Make a view of an image, optionally within a given bounding box.

Parameters:

imageImageLike: The image to make a view of.
bboxBox2I, optional: The bounding box within which to make the view.

Returns:

image_view: ImageLike: The view of the image.

Navigation

SingleCellCoadd¶