Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 299457019.0 3378 0.844 : 299457020.0 2381 0.938 : 299457748.0 2306 0.832 : 299458379.0 2385 0.857 : 299459052.0 2739 0.888 : 299459108.0 2862 0.895 : 299459602.0 3355 0.882 : 299459606.0 2247 0.858 : 299461501.0 2184 0.823 : 299461502.0 2333 0.879 : 299461510.0 2405 0.924 Total number of 1 second bins: 7440 Bins with >0 counts : 6266 Bins with >2000 counts : 11 11 of 11 high count rate bins were dominated by noise Noise dominated 0.15% of total time, 0.18% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 299457019.0 3860 0.910 : 299457020.0 2695 0.975 : 299457141.0 2134 0.804 : 299461618.0 2885 0.877 : 299461649.0 3261 0.892 : 299461650.0 3165 0.932 : 299461651.0 3089 0.987 : 299461653.0 3366 0.970 : 299461677.0 2948 0.875 : 299461750.0 3707 0.887 : 299461923.0 2450 0.829 : 299461926.0 2507 0.843 : 299461964.0 2700 0.813 Total number of 1 second bins: 7440 Bins with >0 counts : 6266 Bins with >2000 counts : 13 13 of 13 high count rate bins were dominated by noise Noise dominated 0.17% of total time, 0.21% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction Total number of 1 second bins: 7440 Bins with >0 counts : 6266 Bins with >2000 counts : 0 0 of 0 high count rate bins were dominated by noise Noise dominated 0.00% of total time, 0.00% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 299457023.0 2809 0.823 : 299457024.0 2297 0.955 : 299457026.0 2726 0.982 : 299457028.0 2486 0.961 : 299457030.0 2066 0.762 : 299457032.0 2226 0.774 : 299457094.0 2027 0.881 : 299457099.0 2905 0.901 : 299457106.0 2147 0.873 : 299457107.0 2540 0.903 : 299457109.0 2180 0.794 : 299457114.0 2664 0.857 : 299457116.0 2184 0.855 : 299457127.0 2425 0.840 : 299457181.0 2277 0.814 : 299457188.0 2052 0.846 : 299457209.0 2392 0.800 : 299457234.0 2252 0.842 : 299457244.0 2081 0.798 : 299457247.0 3100 0.868 : 299457260.0 2247 0.810 : 299457290.0 2589 0.837 : 299457291.0 2354 0.885 : 299457326.0 2113 0.807 : 299457327.0 2364 0.926 : 299457450.0 2689 0.898 : 299458389.0 2348 0.835 : 299458390.0 2288 0.851 : 299458546.0 2560 0.893 : 299458689.0 3514 0.921 : 299458761.0 2707 0.894 : 299458762.0 2234 0.877 : 299459073.0 3885 0.967 : 299459082.0 2598 0.928 : 299459093.0 2084 0.850 : 299459132.0 2409 0.865 : 299459233.0 3612 0.922 : 299459234.0 2910 0.935 : 299459454.0 2870 0.903 : 299459477.0 2071 0.880 : 299459709.0 3931 0.935 : 299459866.0 2871 0.886 : 299459874.0 2932 0.917 : 299459879.0 2146 0.829 : 299459880.0 2039 0.901 : 299459881.0 2457 0.873 : 299459889.0 3100 0.924 : 299459890.0 2472 0.924 : 299459891.0 3849 0.959 : 299459893.0 3089 0.960 : 299459897.0 2051 0.866 : 299460012.0 3876 0.963 : 299460013.0 3271 0.980 : 299460031.0 3081 0.883 : 299460103.0 2198 0.871 : 299460104.0 2009 0.826 : 299460105.0 2241 0.845 : 299460107.0 2490 0.856 : 299460109.0 2125 0.845 : 299460113.0 2050 0.856 : 299460114.0 2030 0.828 : 299460116.0 2560 0.866 : 299460118.0 2824 0.910 : 299460119.0 2236 0.851 : 299460135.0 2044 0.820 : 299460146.0 2930 0.898 : 299460413.0 3158 0.884 : 299460445.0 5078 0.942 : 299460493.0 4708 0.967 : 299460495.0 2230 0.870 : 299460496.0 2045 0.889 : 299460780.0 4917 0.954 : 299460781.0 2308 0.951 : 299460783.0 3064 0.926 : 299460784.0 3321 0.964 : 299460788.0 4857 0.976 : 299460789.0 2748 0.982 : 299460790.0 2680 1.000 : 299460791.0 2474 1.000 : 299460792.0 2446 0.991 : 299460793.0 2734 0.988 : 299460795.0 4299 0.938 : 299460796.0 2888 0.994 : 299460797.0 2712 0.982 : 299460798.0 2753 0.983 : 299460799.0 2849 0.989 : 299460800.0 2795 1.000 : 299460801.0 2769 0.982 : 299460802.0 2863 0.978 : 299460803.0 2831 0.992 : 299460804.0 2808 0.989 : 299460805.0 2816 0.984 : 299460806.0 2642 0.991 : 299460807.0 2782 0.991 : 299460809.0 4142 0.974 : 299460815.0 5096 0.978 : 299460816.0 2660 0.997 : 299460818.0 3139 0.880 : 299460838.0 2535 0.854 : 299460865.0 4270 0.928 : 299460866.0 2832 0.995 : 299460867.0 2619 0.975 : 299460868.0 2952 0.992 : 299460869.0 2806 0.990 : 299460870.0 2376 0.950 : 299460872.0 2682 0.925 : 299460874.0 4198 0.938 : 299460877.0 4625 0.937 : 299460880.0 2114 0.825 : 299460881.0 4156 0.932 : 299460882.0 2870 0.993 : 299460883.0 2461 0.968 : 299460884.0 2753 0.945 : 299460885.0 3117 0.967 : 299460889.0 2710 0.868 : 299460890.0 2087 0.887 : 299460893.0 2015 0.823 : 299460894.0 2326 0.845 : 299460895.0 2976 0.904 : 299460897.0 3698 0.910 : 299460898.0 2018 0.919 : 299460900.0 2114 0.787 : 299460902.0 2288 0.851 : 299460903.0 2579 0.867 : 299460905.0 2192 0.831 : 299460908.0 2258 0.839 : 299460909.0 2677 0.892 : 299460910.0 3725 0.930 : 299460911.0 2647 0.972 : 299460913.0 2302 0.845 : 299460915.0 2641 0.875 : 299460917.0 3708 0.928 : 299460919.0 2028 0.861 : 299460930.0 2093 0.862 : 299461025.0 4758 0.939 : 299461026.0 2443 0.952 : 299461038.0 3369 0.939 : 299461039.0 2651 0.957 : 299461040.0 3593 0.978 : 299461041.0 2084 0.948 : 299461042.0 3095 0.924 : 299461043.0 2437 0.957 : 299461046.0 4483 0.937 : 299461048.0 3392 0.963 : 299461049.0 2723 0.999 : 299461050.0 2541 0.967 : 299461051.0 2955 0.975 : 299461053.0 2837 0.941 : 299461054.0 2509 0.948 : 299461056.0 3835 0.918 : 299461058.0 2267 0.889 : 299461059.0 3320 0.917 : 299461060.0 2635 0.964 : 299461061.0 2791 0.982 : 299461062.0 2868 0.996 : 299461063.0 2478 0.968 : 299461064.0 2541 1.000 : 299461065.0 2756 0.999 : 299461066.0 2690 1.000 : 299461067.0 2853 0.981 : 299461068.0 2857 0.999 : 299461069.0 2474 0.957 : 299461070.0 2870 0.983 : 299461071.0 2603 0.998 : 299461072.0 2686 0.989 : 299461073.0 2651 0.984 : 299461074.0 2753 0.996 : 299461075.0 2668 0.965 : 299461076.0 2770 0.981 : 299461077.0 2789 0.980 : 299461078.0 2610 0.982 : 299461080.0 3079 0.975 : 299461081.0 2780 0.983 : 299461082.0 2693 0.987 : 299461084.0 3319 0.949 : 299461085.0 3292 0.971 : 299461086.0 2779 0.964 : 299461088.0 3664 0.921 : 299461090.0 2311 0.925 : 299461091.0 2991 0.906 : 299461093.0 4714 0.953 : 299461094.0 2453 0.956 : 299461095.0 2757 0.979 : 299461096.0 2618 0.987 : 299461097.0 2800 0.990 : 299461101.0 2416 0.867 : 299461106.0 4707 0.951 : 299461107.0 2009 0.935 : 299461108.0 2706 0.977 : 299461109.0 2609 0.986 : 299461110.0 2034 0.941 : 299461111.0 3179 0.997 : 299461112.0 2707 0.983 : 299461113.0 2700 0.973 : 299461115.0 3313 0.972 : 299461116.0 2787 0.989 : 299461117.0 2187 0.954 : 299461118.0 2862 0.991 : 299461119.0 2806 0.986 : 299461120.0 2847 0.987 : 299461121.0 2721 0.989 : 299461122.0 2786 0.984 : 299461123.0 2705 0.979 : 299461125.0 3963 0.977 : 299461126.0 2623 1.000 : 299461127.0 2732 0.982 : 299461128.0 2742 0.997 : 299461131.0 4512 0.938 : 299461132.0 2331 0.959 : 299461134.0 3348 0.920 : 299461136.0 3515 0.927 : 299461138.0 2295 0.934 : 299461139.0 2769 0.900 : 299461141.0 2043 0.827 : 299461142.0 3717 0.961 : 299461143.0 2760 0.980 : 299461147.0 2383 0.846 : 299461154.0 2045 0.818 : 299461167.0 2103 0.830 : 299461182.0 2470 0.850 : 299461220.0 3086 0.861 : 299461228.0 2554 0.866 : 299461229.0 2286 0.900 : 299461233.0 2945 0.885 : 299461239.0 4171 0.952 : 299461240.0 2084 0.934 : 299461243.0 2606 0.853 : 299461245.0 3385 0.919 : 299461257.0 3240 0.903 : 299461258.0 3346 0.948 : 299461260.0 3341 0.975 : 299461262.0 3104 0.950 : 299461316.0 2284 0.855 : 299461322.0 4153 0.961 : 299461330.0 2464 0.907 : 299461335.0 2793 0.885 : 299461632.0 2219 0.835 : 299461704.0 2505 0.873 : 299461705.0 2626 0.878 : 299461706.0 3461 0.945 : 299461713.0 2318 0.837 : 299461719.0 2904 0.865 : 299461721.0 2722 0.863 : 299461730.0 2768 0.877 : 299461744.0 3469 0.940 : 299461746.0 2543 0.910 : 299461747.0 2023 0.882 : 299461748.0 3098 0.921 : 299461750.0 2786 0.884 : 299461755.0 3701 0.921 : 299461757.0 2008 0.820 : 299461762.0 2510 0.853 : 299461765.0 2081 0.791 : 299461774.0 2318 0.840 : 299461779.0 2661 0.855 : 299461781.0 2779 0.878 : 299461783.0 2356 0.893 : 299461787.0 2157 0.863 : 299461788.0 3188 0.907 : 299461789.0 3218 0.958 : 299461792.0 2732 0.873 : 299461795.0 2340 0.812 : 299461798.0 2170 0.858 : 299461850.0 3163 0.895 : 299461852.0 3596 0.947 : 299461853.0 2093 0.888 : 299461854.0 2164 0.879 : 299461855.0 2205 0.866 : 299461875.0 2301 0.805 : 299463284.0 2927 0.847 : 299463288.0 2020 0.773 : 299463294.0 2909 0.813 : 299463295.0 2218 0.913 : 299463299.0 4096 0.913 : 299463300.0 2183 0.946 : 299463301.0 2171 0.907 : 299463303.0 2305 0.730 : 299463304.0 2638 0.868 : 299463305.0 2219 0.874 : 299463320.0 2173 0.792 : 299463323.0 2281 0.794 : 299463324.0 2165 0.743 : 299463325.0 2287 0.838 : 299463326.0 2167 0.785 : 299463329.0 2290 0.761 : 299463331.0 2308 0.758 : 299463680.0 3053 0.875 : 299463681.0 2444 0.890 : 299463682.0 2651 0.879 : 299463683.0 2338 0.876 : 299463684.0 2096 0.873 : 299463686.0 2031 0.758 : 299463688.0 2511 0.828 : 299463711.0 2663 0.843 : 299463712.0 3132 0.946 : 299463714.0 2643 0.835 : 299463715.0 3061 0.919 : 299463716.0 3350 0.953 : 299463717.0 2931 0.955 : 299463718.0 2500 0.942 : 299463720.0 2823 0.930 : 299463721.0 2673 0.929 : 299463722.0 2313 0.906 : 299463723.0 2760 0.901 : 299463724.0 3680 0.932 : 299463726.0 2402 0.868 : 299463728.0 2095 0.774 : 299463729.0 2424 0.847 : 299463730.0 2473 0.881 : 299463731.0 2248 0.838 : 299463732.0 2797 0.877 : 299463733.0 2475 0.905 : 299463734.0 2527 0.857 : 299463735.0 2936 0.906 : 299463736.0 2040 0.897 : 299463737.0 2467 0.867 : 299463740.0 2467 0.867 : 299463956.0 3809 0.937 : 299463962.0 2174 0.815 : 299464163.0 3369 0.994 Total number of 1 second bins: 7440 Bins with >0 counts : 6266 Bins with >2000 counts : 320 320 of 320 high count rate bins were dominated by noise Noise dominated 4.30% of total time, 5.11% of detector on time (defined as non-zero counts)