Running the Time Series Aperture Photometry

Run the following commands in either an iPython session or in a python script:

phot = phot_pipeline.phot(paramFile='parameters/phot_params/example_phot_parameters.yaml')
phot.showStarChoices()
phot.showStarChoices(showAps=True)
phot.do_phot()
phot.showCustSet()

where parameters/phot_params/example_phot_parameters.yaml is the name of the yaml parameters file. phot.showStarChoices has a boolean parameter. If showAps is True, then it will draw the apertures. Sometimes these apertures are too small to be seen easily so showAps is False will draw circles around the sources.

Re-centering Apertures

Sometimes, the first attempt with centering will fail but for speed’s sake, the phot.do_phot() method, will read the previous centroid data rather than re-fit Gaussians. To redo the centering and overwrite the centroid file, run phot2.get_allimg_cen(recenter=True).