Tools to display the TESS pixel response function (PRF) at any location on the detector.
By default, will access the relevant PRF files on MAST (internet required), but you can also download these files and reference their local directory. There is also an option to generate a 2D Gaussian PRF, however appropriate that may be.
This package is primarily for estimating how the light from a point source is distributed given its position in a TESS Target Pixel File (TPF) or TESScut postage stamp. Referencing the real TESS PRF models, you'll need to provide the Camera, CCD, and Sector numbers, along with the column and row numbers at approximately the center of your TPF to interpolate a PRF appropriate for that postage stamp. This package assumes the PRF doesn't change considerably within a small TPF. You can then position the PRF model by passing the relative row and column location within the TPF to the "resample" method. The pixel locations follow WCS convention, that an integer value corresponds to the center of a pixel.
import PRF
import matplotlib.pyplot as plt
# Suppose the following for a TPF of interest
cam = 3
ccd = 4
sector = 13
colnum = 113 #middle of TPF
rownum = 298 #middle of TPF
prf = PRF.TESS_PRF(cam,ccd,sector,colnum,rownum)
# See what this looks like in the center of an 11x11 TPF
resampled = prf.locate(5.0, 5.0, (11,11))
plt.imshow(resampled)
plt.show()With this result:
To generate a Gaussian PRF to relocate within a TPF, call PRF.Gaussian_PRF(sigma) where sigma is in units of TESS pixels.
TESS_PRF is pip installable with the command pip install TESS_PRF
Or clone this repository and run
cd TESS_PRF
python -m build
pip install -e .