Apertures
All apertures will rely on a position and the shape parameters.
aperture = Aperture(x0, y0, shape_params...)The position can be pixels or sky coordinates. The sky coordinate positions utilize SkyCoords.jl and WCS.jl for conversion.
The pixel positions for these apertures follow traditional image position with 1-based indexing. This means the origin is at top-left and has index (0.5, 0.5) at the top-left corner and (1, 1) at the center.
Circular Apertures
These apertures are parametrized by radius.
Photometry.Aperture.CircularAperture — TypeCircularAperture(x, y, r)
CircularAperture([x, y], r)A circular aperture.
Examples
julia> ap = CircularAperture(0, 0, 10)
CircularAperture(0, 0, r=10)
Photometry.Aperture.CircularAnnulus — TypeCircularAnnulus(x, y, r_in, r_out)
CircularAnnulus([x, y], r_in, r_out)A circular aperture.
Examples
julia> ap = CircularAnnulus(0, 0, 5, 10)
CircularAnnulus(0, 0, r_in=5, r_out=10)
Elliptical Apertures
These apertures are parametrized by the semi-major axis a and semi-minor axis b.
Rectangular Apertures
These apertures are parametrized by side-length a and side-length b.
API/Reference
Photometry.Aperture.AbstractAperture — TypeThe abstract super-type for Apertures
Photometry.Aperture.mask — Functionmask(::AbstractAperture; method=:exact)Return an array of the weighting of the aperture in the minimum bounding box. For an explanation of the different methods, see aperture_photometry.
Photometry.Aperture.cutout — Functioncutout(::AbstractAperture, data)Get the cutout of the aperture from the data. This will handle partial overlap by padding the data with zeros.