punchbowl.level2.resample#

Functions#

reproject_array(→ numpy.ndarray)

Core reprojection function.

reproject_many_flow(→ list[ndcube.NDCube])

Reproject many flow.

Module Contents#

punchbowl.level2.resample.reproject_array(input_array: numpy.ndarray, input_wcs: astropy.wcs.WCS, time: datetime.datetime, output_wcs: astropy.wcs.WCS, output_shape: tuple) → numpy.ndarray#

Core reprojection function.

Core reprojection function of the PUNCH mosaic generation module.

With an input data array and corresponding WCS object, the function performs a reprojection into the output WCS object system, along with a specified pixel size for the output array. This utilizes the adaptive reprojection routine implemented in the reprojection astropy package.

Parameters:

  • input_array – input array to be reprojected

  • input_wcs – astropy WCS object describing the input array

  • time – time of the observation to reproject

  • output_wcs – astropy WCS object describing the coordinate system to transform to

  • output_shape – pixel shape of the reprojected output array

Returns:

output array after reprojection of the input array

Return type:

np.ndarray

Example Call#

>>> reprojected_array = reproject_array(input_array, input_wcs, output_wcs, output_shape)
punchbowl.level2.resample.reproject_many_flow(data: list[ndcube.NDCube], trefoil_wcs: astropy.wcs.WCS, trefoil_shape: numpy.ndarray) → list[ndcube.NDCube]#

Reproject many flow.