Tool to perform fast PSF photometry of primary and background targets from Kepler/K2 Target Pixel Files
PRF photometry with Kepler
PSFMachine is an open source Python tool for creating models of instrument effective Point Spread Functions (ePSFs), a.k.a Pixel Response Functions (PRFs). These models are then used to fit a scene in a stack of astronomical images.
PSFMachine is able to quickly derive photometry from stacks of Kepler images and separate crowded sources.
pip install git+https://github.com/SSDataLab/psfmachine.git
import psfmachine as psf import lightkurve as lk tpfs = lk.search_targetpixelfile('Kepler-16', mission='Kepler', quarter=12, radius=1000, limit=200, cadence='long').download_all(quality_bitmask=None) machine = psf.TPFMachine.from_TPFs(tpfs, n_r_knots=10, n_phi_knots=12) machine.fit_lightcurves()
Funding for this project is provided by NASA ROSES grant number 80NSSC20K0874.
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