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15 lines (13 loc) · 1.02 KB
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# a sequence of commands for generating the BDA plots for Figures 3 through 9 discussed in the paper
# fast scripts - natural weighting stuff only take a few seconds
python plot_willis_natural.py image_statistics_all_fits natural_willis_dummy21_avg
python plot_salvini_natural_32.py salvini_maxbmult_32_statistics natural_salvini_dummy32
python plot_salvini_natural_250.py salvini_maxbmult_250_statistics natural_salvini_salvini249_avg
# scripts that take longer ...
python plot_willis_uniform_no_avg.py image_statistics_all_fits uniform_willis_dummy21_no_avg
python plot_willis_uniform.py image_statistics_all_fits uniform_willis_dummy21_avg
python plot_willis_uniform_double.py image_statistics_all_fits _uniform_double_
python plot_diagonals.py image_statistics_all_fits _uniform_diag_
python big_offset.py image_statistics_all_fits _uniform_1632arcmin_integrate221_
python plot_willis_uniform_0.007_no_avg.py image_statistics_all_fits _uniform_big_0.14avg_
python plot_clean_comps.py image_statistics_all_fits _uniform_zero_