Data Structures#
2D Data Structures#
Two-dimensional data structures store and mask 2D arrays containing data (e.g. images) and grids of (y,x) Cartesian coordinates (which are used for evaluating light profiles).
A 2D mask, used for masking values which are associated with a a uniform rectangular grid of pixels. |
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A uniform 2D array of values, which are paired with a 2D mask of pixels which may be split into sub-pixels. |
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A grid of 2D (y,x) coordinates, which are paired to a uniform 2D mask of pixels and sub-pixels. |
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Represents a grid of coordinates as described for the |
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An irregular grid of (y,x) coordinates. |
Imaging#
For datasets taken with a CCD (or similar imaging device), including objects which perform 2D convolution.
A class containing an imaging dataset, including the image data, noise-map and a point spread function (PSF). |
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The lens dataset is the collection of data_type (image, noise-map, PSF), a mask, grid, convolver and other utilities that are used for modeling and fitting an image of a strong lens. |
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A class representing a Imaging observation, using the shape of the image, the pixel scale, psf, exposure time, etc. |
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An array of values, which are paired to a uniform 2D mask of pixels and sub-pixels. |
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Class to setup the 1D convolution of an / mapping matrix. |
Interferometer#
For datasets taken with an interferometer (E.g. ALMA), including objects which perform a fast Fourier transform to map data to the uv-plane.
A class containing an interferometer dataset, including the visibilities data, noise-map and the uv-plane baseline wavelengths. |
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The lens dataset is the collection of data_type (image, noise-map), a mask, grid, convolver and other utilities that are used for modeling and fitting an image of a strong lens. |
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A class representing a Imaging observation, using the shape of the image, the pixel scale, psf, exposure time, etc. |
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A collection of (real, imag) visibilities which are used to represent the data in an Interferometer dataset. |
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1D Data Structures#
One-dimensional data structures store and mask 1D arrays and grids of (x) Cartesian coordinates.
Their most common use is manipulating 1D representations of a light or mass profile (e.g. computing the intensity versus radius in 1D, or convergene vs radius).
A 1D mask, representing 1D data on a uniform line of pixels with equal spacing. |
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A collection of values which are structured as follows: |
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A grid of 1D (x) coordinates, which are paired to a uniform 1D mask of pixels and sub-pixels. |