Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 357605119.0 2260 0.732 : 357605120.0 2304 0.774 : 357605146.0 2011 0.676 : 357605233.0 2605 0.763 : 357605259.0 3242 0.870 : 357605441.0 2842 0.836 : 357605442.0 2842 0.842 : 357605443.0 2530 0.858 : 357605444.0 2171 0.847 : 357605445.0 2243 0.848 : 357605446.0 2408 0.833 : 357605448.0 2248 0.794 : 357605449.0 2107 0.721 : 357605450.0 2136 0.780 : 357605453.0 2334 0.773 : 357605455.0 2610 0.792 : 357605458.0 2069 0.755 : 357605459.0 2729 0.809 : 357605460.0 2808 0.889 : 357605462.0 3587 0.868 : 357605464.0 2086 0.769 : 357605465.0 2406 0.829 : 357605854.0 2761 0.858 : 357605861.0 2232 0.785 : 357605865.0 2646 0.823 : 357605978.0 2374 0.821 : 357605979.0 2435 0.875 : 357605987.0 3053 0.890 : 357605989.0 3897 0.917 : 357605991.0 3291 0.897 : 357605993.0 2767 0.873 : 357605994.0 2469 0.905 : 357605995.0 2643 0.970 : 357605996.0 2658 0.951 : 357606000.0 3005 0.911 : 357606099.0 2390 0.805 : 357606102.0 2406 0.818 : 357606106.0 2452 0.797 : 357606108.0 2551 0.833 : 357606109.0 3430 0.899 : 357606111.0 2376 0.855 : 357606115.0 3002 0.881 : 357606125.0 3489 0.892 : 357606126.0 2798 0.883 : 357606130.0 3463 0.960 : 357606131.0 2582 0.902 : 357606133.0 2026 0.784 : 357606138.0 4357 0.931 : 357606145.0 2024 0.857 : 357606147.0 2259 0.878 : 357606151.0 2815 0.907 : 357606152.0 2545 0.984 : 357606154.0 4285 0.968 : 357606161.0 2314 0.804 : 357606162.0 2542 0.964 : 357606165.0 2638 0.856 : 357606169.0 4128 0.975 : 357606170.0 2290 0.977 : 357606171.0 2604 0.963 : 357606176.0 2819 0.929 : 357606179.0 2748 0.867 : 357606180.0 2617 0.985 : 357606181.0 2379 0.949 : 357606182.0 2180 0.900 : 357606183.0 2568 0.988 : 357606184.0 2752 0.990 : 357606186.0 3492 0.943 : 357606192.0 2606 0.889 : 357606195.0 3267 0.905 : 357606196.0 2220 0.939 : 357606197.0 2689 0.980 : 357606198.0 2436 0.984 : 357606199.0 2137 1.000 : 357606202.0 2150 0.784 : 357606228.0 2732 0.865 : 357606229.0 2741 0.933 : 357606230.0 2295 0.892 : 357606231.0 2656 0.898 : 357606234.0 2590 0.866 : 357606273.0 2129 0.831 : 357606274.0 2296 0.909 : 357606276.0 2384 0.956 : 357606277.0 2387 0.958 : 357606278.0 2128 0.986 : 357606279.0 2040 0.994 : 357606284.0 2665 0.868 : 357606286.0 2886 0.945 : 357606287.0 2248 0.945 : 357606289.0 2264 0.990 : 357606290.0 2221 0.953 : 357606291.0 2015 0.906 : 357606292.0 2153 0.972 : 357606293.0 2063 0.913 : 357606295.0 3005 0.958 : 357606296.0 2335 0.925 : 357606298.0 2218 0.915 : 357606299.0 2226 0.898 : 357606308.0 4221 0.963 : 357606309.0 2017 0.859 : 357606310.0 2098 0.951 : 357606311.0 2423 0.925 : 357606313.0 2802 0.940 : 357606314.0 2158 0.928 : 357606315.0 2040 0.867 : 357606316.0 2366 0.951 : 357606318.0 3006 0.922 : 357606320.0 3003 0.966 : 357606321.0 2229 0.937 : 357606322.0 2179 0.939 : 357606323.0 2625 0.970 : 357606324.0 2534 0.987 : 357606325.0 2601 0.933 : 357606326.0 2357 0.896 : 357606329.0 3087 0.907 : 357606330.0 2636 0.937 : 357606331.0 2660 0.934 : 357606332.0 2653 0.916 : 357606333.0 2815 0.938 : 357606336.0 3699 0.972 : 357606342.0 2709 0.855 : 357606343.0 2966 0.907 : 357606344.0 2441 0.910 : 357606345.0 2166 0.881 : 357606348.0 2499 0.845 : 357606353.0 3302 0.899 : 357606354.0 2365 0.912 : 357606355.0 2240 0.890 : 357606362.0 2388 0.881 : 357606363.0 3614 0.961 : 357606364.0 2807 0.947 : 357606365.0 2538 0.940 : 357606368.0 2158 0.843 : 357606370.0 3128 0.880 : 357606374.0 2004 0.812 : 357606377.0 2464 0.851 : 357606380.0 3005 0.909 : 357606381.0 2369 0.995 : 357606394.0 2065 0.809 : 357606395.0 3585 0.905 : 357606396.0 3079 0.959 : 357606398.0 2419 0.839 : 357606399.0 2788 0.886 : 357606404.0 2243 0.810 : 357606405.0 2168 0.837 : 357606406.0 2108 0.817 : 357606413.0 2007 0.792 : 357606415.0 2037 0.816 : 357606416.0 3172 0.929 : 357606417.0 2233 0.937 : 357606418.0 2508 0.921 : 357606421.0 2106 0.838 : 357606423.0 3001 0.884 : 357606425.0 3499 0.922 : 357606442.0 2685 0.875 : 357606448.0 3328 0.954 : 357606449.0 2597 0.939 : 357606451.0 2207 0.852 : 357606452.0 3154 0.915 : 357606454.0 2914 0.919 : 357606455.0 2412 0.977 : 357606459.0 2313 0.847 : 357606460.0 2826 0.965 : 357606461.0 2652 0.984 : 357606462.0 2567 0.947 : 357606463.0 2622 0.964 : 357606464.0 2512 0.921 : 357606465.0 2603 0.941 : 357606466.0 2711 0.955 : 357606467.0 2412 0.946 : 357606468.0 2322 0.967 : 357606469.0 2450 0.962 : 357606470.0 2327 0.997 : 357606471.0 2378 0.981 : 357606472.0 2499 0.973 : 357606473.0 2500 0.997 : 357606474.0 2301 0.902 : 357606475.0 2358 0.999 : 357606476.0 2267 0.923 : 357606477.0 2408 0.945 : 357606478.0 2421 0.986 : 357606479.0 2526 0.989 : 357606481.0 3588 0.985 : 357606482.0 2470 0.952 : 357606483.0 2706 0.966 : 357606484.0 2611 0.974 : 357606485.0 2436 0.994 : 357606486.0 2538 1.000 : 357606487.0 2373 0.986 : 357606488.0 2288 0.992 : 357606489.0 2398 0.993 : 357606490.0 2329 0.996 : 357606491.0 2237 0.989 : 357606492.0 2444 0.980 : 357606493.0 2555 0.994 : 357606494.0 2558 0.994 : 357606495.0 2240 0.986 : 357606496.0 2650 0.994 : 357606497.0 2594 0.984 : 357606498.0 2601 0.995 : 357606499.0 2223 0.999 : 357606500.0 2348 1.000 : 357606501.0 2616 1.000 : 357606502.0 2483 1.000 : 357606503.0 2330 0.998 : 357606504.0 2155 1.000 : 357606505.0 2436 0.994 : 357606506.0 2391 0.995 : 357606507.0 2454 0.994 : 357606508.0 2470 1.000 : 357606509.0 2383 0.997 : 357606510.0 2434 0.997 : 357606511.0 2089 0.997 : 357606512.0 2471 0.993 : 357606513.0 2452 0.996 : 357606514.0 2407 1.000 : 357606515.0 2209 0.997 : 357606516.0 2571 0.984 : 357606517.0 2192 1.000 : 357606518.0 2424 0.988 : 357606519.0 2245 1.000 : 357606520.0 2413 1.000 : 357606521.0 2676 0.994 : 357606522.0 2422 1.000 : 357606523.0 2424 0.987 : 357606524.0 2563 0.993 : 357606525.0 2587 0.997 : 357606526.0 2406 0.998 : 357606527.0 2732 0.986 : 357606528.0 2439 1.000 : 357606529.0 2496 0.935 : 357606530.0 2398 0.992 : 357606531.0 2489 0.978 : 357606532.0 2626 0.992 : 357606533.0 2688 0.971 : 357606534.0 2398 0.922 : 357606535.0 2668 0.981 : 357606536.0 2495 0.938 : 357606537.0 2746 0.970 : 357606538.0 2445 0.911 : 357606541.0 4255 0.971 : 357606542.0 2590 0.970 : 357606543.0 2733 0.965 : 357606544.0 2466 0.995 : 357606545.0 2585 0.973 : 357606546.0 2739 0.961 : 357606548.0 3121 0.953 : 357606549.0 2555 0.923 : 357606550.0 2509 0.905 : 357606553.0 3312 0.877 : 357606554.0 2463 0.875 : 357606556.0 2037 0.819 : 357606558.0 2020 0.822 : 357606559.0 2874 0.866 : 357606561.0 2200 0.871 : 357606562.0 3148 0.880 : 357606563.0 2421 0.936 : 357606564.0 2644 0.914 : 357606565.0 2426 0.903 : 357606566.0 2730 0.945 : 357606567.0 2093 0.920 : 357606568.0 2475 0.985 : 357606569.0 2421 0.968 : 357606570.0 2557 0.956 : 357606572.0 4194 0.955 : 357606574.0 3834 0.922 : 357606576.0 2986 0.928 : 357606577.0 2718 0.985 : 357606584.0 2923 0.913 : 357606585.0 2563 0.956 : 357606586.0 2751 0.974 : 357606587.0 2542 0.975 : 357606588.0 2527 0.954 : 357606590.0 2760 0.951 : 357606591.0 2764 0.971 : 357606592.0 2553 0.985 : 357606593.0 2603 0.981 : 357606594.0 2519 0.944 : 357606595.0 2723 0.982 : 357606596.0 2656 0.981 : 357606597.0 2326 0.923 : 357606598.0 2636 0.941 : 357606599.0 2352 0.989 : 357606600.0 2444 0.955 : 357606601.0 2620 0.982 : 357606602.0 2348 0.991 : 357606603.0 2653 0.998 : 357606604.0 2419 0.985 : 357606605.0 2522 0.950 : 357606606.0 2692 0.960 : 357606607.0 2611 0.922 : 357606608.0 2144 0.903 : 357606609.0 2677 0.959 : 357606610.0 2647 1.000 : 357606611.0 2557 0.969 : 357606612.0 2682 0.994 : 357606613.0 2288 0.973 : 357606615.0 2086 0.957 : 357606616.0 2655 0.943 : 357606618.0 3709 0.966 : 357606620.0 2311 0.855 : 357606621.0 2720 0.989 : 357606622.0 2719 0.973 : 357606623.0 2481 0.988 : 357606624.0 2507 0.967 : 357606626.0 2749 0.993 : 357606627.0 2684 0.978 : 357606629.0 3424 0.935 : 357606647.0 2977 0.909 : 357606649.0 3087 0.889 : 357606652.0 3144 0.874 : 357606653.0 2577 0.897 : 357606654.0 2784 0.901 : 357606680.0 2982 0.890 : 357606695.0 3268 0.891 : 357606734.0 4393 0.942 : 357606738.0 2849 0.886 : 357606739.0 2360 0.881 : 357606740.0 2210 0.854 : 357606913.0 2503 0.867 : 357606917.0 2941 0.895 : 357606950.0 2016 0.821 : 357606959.0 2073 0.843 : 357606968.0 2354 0.840 : 357606971.0 2441 0.866 : 357606972.0 2132 0.813 : 357607194.0 4524 0.982 : 357608635.0 2147 0.792 : 357608638.0 2327 0.843 : 357608694.0 2194 0.852 : 357608827.0 2498 0.893 : 357609070.0 3793 0.890 : 357609167.0 2634 0.828 : 357609202.0 2851 0.857 : 357609379.0 2817 0.841 : 357609380.0 2348 0.937 : 357609382.0 2079 0.797 : 357609383.0 2796 0.838 : 357609384.0 2564 0.937 : 357609385.0 2614 0.903 : 357609615.0 2888 0.870 : 357609811.0 2244 0.778 : 357609968.0 2067 0.641 : 357611354.0 2259 0.746 : 357611359.0 2181 0.720 : 357611385.0 2120 0.720 Total number of 1 second bins: 7846 Bins with >0 counts : 6467 Bins with >2000 counts : 345 345 of 345 high count rate bins were dominated by noise Noise dominated 4.40% of total time, 5.33% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 357606503.0 2826 0.869 Total number of 1 second bins: 7846 Bins with >0 counts : 6467 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 357606923.0 2112 0.820 Total number of 1 second bins: 7846 Bins with >0 counts : 6467 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 357605117.0 2142 0.778 : 357605599.0 2256 0.786 Total number of 1 second bins: 7845 Bins with >0 counts : 6466 Bins with >2000 counts : 2 2 of 2 high count rate bins were dominated by noise Noise dominated 0.03% of total time, 0.03% of detector on time (defined as non-zero counts)