reproject_to_overlappogram#

overlappy.reproject.reproject_to_overlappogram(cube, detector_shape, reference_pixel=None, reference_coord=None, scale=None, roll_angle=<Quantity 0. deg>, dispersion_angle=<Quantity 0. deg>, order=1, observer=None, sum_over_lambda=True, algorithm='interpolation', reproject_kwargs=None, meta_keys=None, use_dask=False)[source]#

Reproject a spectral cube to an overlappogram.

Parameters:

  • cube (ndcube.NDCube) – Spectral cube with dimensions (wave, lat, lon)

  • detector_shape (tuple) – Shape of the 2D detector to project onto

  • reference_pixel (~astropy.units.Quantity) – The pixel that corresponds to (0,0,wave[0]). This will default to the middle of the detector.

  • scale (tuple) – The scale of the the spatial and spectral axes

  • roll_angle (~astropy.units.Quantity) – Angle between y-like pixel axis and y-like world axis.

  • dispersion_angle (~astropy.units.Quantity) – Angle between dispersion direction and the y-like pixel axis.

  • order (int) – Spectral order to model

  • observer (~astropy.coordinates.SkyCoord) – Location of observer in HGS coordinates

  • sum_over_lambda (bool) – If True, sum over all layers in wavelength to create overlapped images. If False, each layer will be the reprojection of the FOV at that wavelength and everything else will be NaN.

  • meta_keys (list) – Keys from spectral cube metadata to copy into overlappogram metadata.

  • use_dask (bool) – If True, parallelize the reprojection with Dask. Requires first starting a Dask client.

Return type:

ndcube.NDCube