Background on images
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== Background from boxes (1D) == | == Background from boxes (1D) == | ||
- | Background is the mean value from boxes 32 x 32 pix large, inside which all objects are masked. Also, the mean standard deviation is estimated from the boxes. There are several cases: Mean=bkg, (stdev), mean-stdev=bkg1m, mean+stdev=bkg1p, mean-3*stdev=bkg3m, mean+3*stdev=bkg3p == 9.58, (4.72), 4.85, 14.30, -4.59, 23.74 | + | Background is the mean value from boxes 32 x 32 pix large, inside which all objects are masked. Also, the mean standard deviation is estimated from the boxes. There are several cases plotted in the radial profile plot: Mean=bkg, (stdev), mean-stdev=bkg1m, mean+stdev=bkg1p, mean-3*stdev=bkg3m, mean+3*stdev=bkg3p == 9.58, (4.72), 4.85, 14.30, -4.59, 23.74 |
[[Image:boxes.png]] | [[Image:boxes.png]] |
Revision as of 11:46, 14 April 2021
mask = segmentation_map > 0 # Sextractor's segmentation mask with DETECT_THRESH = 1. and ANALYSIS_THRESH = 1. bkgmask = (data == 0.0) # Mask of the outer parts of the image without data (blank part) mesh_size=[50, 100, 150, 200, 300, 500] percent = [1, 7, 10, 15, 25, 26] sigma_clip = SigmaClip(sigma=3.) bkg_estimator = MedianBackground() bkg = Background2D(data, (mesh_size, mesh_size), filter_size=(5, 5),mask=mask,coverage_mask=bkgmask,sigma_clip=sigma_clip,bkg_estimator=bkg_estimator,exclude_percentile=percent,fill_value=0.0)
Background from boxes (1D)
Background is the mean value from boxes 32 x 32 pix large, inside which all objects are masked. Also, the mean standard deviation is estimated from the boxes. There are several cases plotted in the radial profile plot: Mean=bkg, (stdev), mean-stdev=bkg1m, mean+stdev=bkg1p, mean-3*stdev=bkg3m, mean+3*stdev=bkg3p == 9.58, (4.72), 4.85, 14.30, -4.59, 23.74