multiband_catalog

grizli.pipeline.auto_script.multiband_catalog(field_root='j142724+334246', threshold=1.8, detection_background=True, photometry_background=True, get_all_filters=False, filters=None, det_err_scale=-inf, phot_err_scale=-inf, rescale_weight=True, run_detection=True, detection_filter='ir', detection_root=None, output_root=None, use_psf_filter=True, detection_params={'clean': True, 'clean_param': 1, 'deblend_cont': 0.001, 'deblend_nthresh': 32, 'filter_kernel': array([[0.0049, 0.0213, 0.0513, 0.0687, 0.0513, 0.0213, 0.0049], [0.0213, 0.0921, 0.2211, 0.296 , 0.2211, 0.0921, 0.0213], [0.0513, 0.2211, 0.5307, 0.7105, 0.5307, 0.2211, 0.0513], [0.0687, 0.296 , 0.7105, 0.9511, 0.7105, 0.296 , 0.0687], [0.0513, 0.2211, 0.5307, 0.7105, 0.5307, 0.2211, 0.0513], [0.0213, 0.0921, 0.2211, 0.296 , 0.2211, 0.0921, 0.0213], [0.0049, 0.0213, 0.0513, 0.0687, 0.0513, 0.0213, 0.0049]]), 'filter_type': 'conv', 'minarea': 9}, phot_apertures=[<Quantity 0.36 arcsec>, <Quantity 0.500001 arcsec>, <Quantity 0.7000002 arcsec>, <Quantity 1.0000002 arcsec>, <Quantity 1.2 arcsec>, <Quantity 1.5 arcsec>, <Quantity 3. arcsec>], master_catalog=None, bkg_mask=None, bkg_params={'bh': 64, 'bw': 64, 'fh': 3, 'fw': 3, 'pixel_scale': 0.06}, use_bkg_err=False, aper_segmask=True)[source]

Make a detection catalog and run aperture photometry with the SExtractor clone sep.

phot_apertures are aperture diameters. If provided as a string, then apertures assumed to be in pixel units. Can also provide a list of elements with astropy.unit attributes, which are converted to pixels given the image WCS/pixel size.