tesscube 1.0.1.dev0

Load an FFI cube

You can work with an FFI cube by loading it using a sector, camera, and CCD number.

from tesscube import TESSCube
cube = TESSCube(sector=1, camera=1, ccd=4)

Obtain an FFI Using tesscube

You can obtain an FFI image by indexing into a cube

from tesscube import TESSCube
cube = TESSCube(sector=1, camera=1, ccd=4)
ffi = cube[300]

This will return an astropy.fits.HDUList

Obtain a TPF

You can obtain a TPF in two ways, either you can either pass a pixel position

from tesscube import TESSCube
from astropy.coordinates import SkyCoord
corner = (1282, 1750)
cube = TESSCube(sector=1, camera=1, ccd=4)
tpf = cube.get_tpf(corner, shape=(10, 11))

Or you can pass an astropy SkyCoord object containing the RA and Dec of the target

from tesscube import TESSCube
from astropy.coordinates import SkyCoord
coord = SkyCoord.from_name("AU Mic")
cube = TESSCube(sector=1, camera=1, ccd=4)
tpf = cube.get_tpf(coord, shape=(10, 11))

Alternatively, you can index into the cube like so:

from tesscube import TESSCube
cube = TESSCube(sector=1, camera=1, ccd=4)
tpf = cube[:, 401:410, 503:510]

Both will return an astropy.fits.HDUList, with a file format similar to the official mission products.

Obtain a lower time resolution TPF

You can obtain a lower time resolution by either passing in a frame_bin parameter, which will downsample the resultant TPF,

from tesscube import TESSCube
from astropy.coordinates import SkyCoord
corner = (1282, 1750)
cube = TESSCube(sector=1, camera=1, ccd=4)
tpf = cube.get_tpf(corner, shape=(10, 11), frame_bin=10)

Or you can slice the cube, which will return a downsampled TPF

from tesscube import TESSCube
cube = TESSCube(sector=1, camera=1, ccd=4)
tpf = cube[::10, 401:410, 503:510]

Both will return an astropy.fits.HDUList, with a file format similar to the official mission products, with the time resolution reduced by a factor of 10.