Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 201909820.0 2135 0.866 : 201909821.0 2404 0.882 Total number of 1 second bins: 7625 Bins with >0 counts : 7162 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) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 201903419.0 2613 0.920 : 201908406.0 2191 0.836 : 201909433.0 2093 0.823 Total number of 1 second bins: 7625 Bins with >0 counts : 7161 Bins with >2000 counts : 3 3 of 3 high count rate bins were dominated by noise Noise dominated 0.04% of total time, 0.04% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 201906974.0 2054 0.851 : 201906975.0 2662 0.941 : 201906976.0 2068 0.836 : 201906977.0 2350 0.909 : 201906986.0 2864 0.955 : 201906987.0 2434 0.943 : 201906988.0 2698 0.921 : 201906991.0 2623 0.909 : 201906992.0 2367 0.880 : 201906993.0 2469 0.897 : 201906994.0 2067 0.831 : 201906995.0 2295 0.864 : 201906997.0 2569 0.901 : 201906998.0 2562 0.902 : 201906999.0 2345 0.860 : 201907000.0 2550 0.938 : 201907002.0 2414 0.919 : 201907003.0 2231 0.928 : 201907004.0 2687 0.940 : 201907007.0 2326 0.926 : 201907014.0 2324 0.907 : 201907015.0 2477 0.938 : 201907016.0 2546 0.960 : 201907018.0 2618 0.917 : 201907025.0 2473 0.910 : 201907026.0 2538 0.901 : 201907027.0 2539 0.931 : 201907028.0 2612 0.956 : 201907029.0 2731 0.983 : 201907030.0 2069 0.847 : 201907042.0 2478 0.854 : 201907044.0 2406 0.883 : 201907045.0 2797 0.984 : 201907057.0 2514 0.929 : 201907058.0 2645 0.954 : 201907059.0 2661 0.936 : 201907060.0 2189 0.854 : 201907061.0 2473 0.886 : 201907071.0 2244 0.850 : 201907072.0 2411 0.902 : 201907077.0 2740 0.947 : 201907080.0 2299 0.890 : 201907081.0 2718 0.966 : 201907082.0 2579 0.927 : 201907084.0 2305 0.885 : 201907085.0 2722 0.975 : 201907086.0 2682 0.979 : 201907087.0 2842 0.983 : 201907088.0 2816 0.993 : 201907089.0 2705 0.969 : 201907090.0 2607 0.964 : 201907092.0 2276 0.851 : 201907094.0 2126 0.905 : 201907095.0 2699 0.956 : 201907096.0 2401 0.953 : 201907097.0 2601 0.945 : 201907100.0 2360 0.917 : 201907102.0 2082 0.842 : 201907103.0 2543 0.897 : 201907104.0 2633 0.927 : 201907105.0 2482 0.919 : 201907106.0 2604 0.933 : 201907108.0 2793 0.928 : 201907109.0 2550 0.920 : 201907110.0 2383 0.874 : 201907111.0 2279 0.875 : 201907112.0 2154 0.912 : 201907113.0 2568 0.930 : 201907117.0 2425 0.863 : 201907118.0 2029 0.832 : 201907120.0 2515 0.951 : 201907121.0 2648 0.956 : 201907122.0 2301 0.903 : 201907123.0 2587 0.963 : 201907124.0 2696 0.953 : 201907125.0 2830 0.978 : 201907126.0 2043 0.856 : 201907127.0 2552 0.964 : 201907128.0 2835 0.971 : 201907129.0 2725 0.961 : 201907130.0 2757 0.990 : 201907131.0 2764 0.965 : 201907132.0 2765 0.997 : 201907133.0 2460 0.976 : 201907135.0 2843 0.991 : 201907136.0 2617 0.970 : 201907137.0 2779 0.995 : 201907138.0 2771 0.959 : 201907139.0 2367 0.978 : 201907140.0 2665 0.965 : 201907141.0 2758 0.982 : 201907142.0 2647 0.952 : 201907143.0 2846 0.982 : 201907144.0 2699 0.976 : 201907145.0 2684 1.000 : 201907146.0 2862 0.988 : 201907147.0 2730 0.949 : 201907148.0 2701 0.978 : 201907149.0 2872 0.963 : 201907150.0 2136 0.893 : 201907151.0 2434 0.889 : 201907152.0 2393 0.860 : 201907153.0 2867 0.958 : 201907154.0 2614 0.929 : 201907155.0 2380 0.980 : 201907156.0 2559 0.936 : 201907157.0 2788 0.948 : 201907158.0 2786 0.969 : 201907159.0 2856 0.974 : 201907160.0 2347 0.925 : 201907161.0 2603 0.921 : 201907162.0 2450 0.916 : 201907163.0 2836 0.957 : 201907164.0 2086 0.868 : 201907167.0 2592 0.958 : 201907169.0 2063 0.828 : 201907172.0 2601 0.965 : 201907174.0 2777 0.986 : 201907175.0 2633 0.905 : 201907176.0 2098 0.818 : 201907177.0 2401 0.905 : 201907178.0 2399 0.866 : 201907186.0 2474 0.957 : 201907187.0 2520 0.958 : 201907188.0 2571 0.943 : 201907189.0 2492 0.923 : 201907190.0 2518 0.938 : 201907191.0 2787 0.986 : 201907193.0 2255 0.956 : 201907195.0 2529 0.961 : 201907196.0 2690 0.958 : 201907197.0 2698 0.982 : 201907198.0 2690 0.939 : 201907199.0 2843 0.978 : 201907200.0 2617 0.962 : 201907202.0 2757 0.968 : 201907203.0 2581 0.974 : 201907204.0 2729 0.993 : 201907205.0 2517 0.993 : 201907206.0 2717 0.996 : 201907207.0 2655 0.992 : 201907208.0 2713 0.969 : 201907209.0 2754 0.986 : 201907210.0 2684 0.991 : 201907211.0 2703 0.983 : 201907212.0 2763 0.990 : 201907213.0 2701 0.989 : 201907214.0 2628 0.974 : 201907215.0 2658 0.978 : 201907216.0 2817 0.976 : 201907217.0 2764 1.000 : 201907218.0 2652 0.980 : 201907219.0 2707 0.984 : 201907220.0 2812 1.000 : 201907221.0 2650 0.986 : 201907222.0 2821 0.989 : 201907223.0 2912 0.996 : 201907224.0 2004 0.834 : 201907225.0 2688 0.963 : 201907226.0 2741 1.000 : 201907227.0 2876 0.991 : 201907228.0 2716 0.992 : 201907229.0 2712 0.989 : 201907230.0 2804 0.994 : 201907231.0 2681 0.972 : 201907232.0 2546 0.984 : 201907238.0 2801 0.984 : 201907239.0 2732 0.988 : 201907240.0 2800 0.987 : 201907241.0 2914 0.987 : 201907242.0 2743 0.927 : 201907243.0 2493 0.921 : 201907244.0 2730 0.993 : 201907245.0 2783 0.996 : 201907246.0 2728 1.000 : 201907247.0 2648 1.000 : 201907248.0 2795 0.996 : 201907249.0 2640 0.977 : 201907250.0 2677 1.000 : 201907251.0 2769 1.000 : 201907252.0 2839 0.986 : 201907253.0 2746 0.993 : 201907254.0 2780 1.000 : 201907255.0 2549 0.933 : 201907258.0 2753 0.948 : 201907259.0 2527 0.921 : 201907260.0 2526 0.922 : 201907276.0 2574 0.925 : 201907277.0 2652 0.994 : 201907278.0 2340 0.939 : 201907279.0 2446 0.908 : 201907281.0 2842 0.957 : 201907283.0 2089 0.855 : 201907285.0 2398 0.896 : 201907287.0 2089 0.918 : 201907288.0 2750 1.000 : 201907289.0 2329 0.947 : 201907290.0 2502 0.949 : 201907292.0 2369 0.873 : 201907294.0 2094 0.819 : 201907296.0 2187 0.850 : 201907298.0 2463 0.867 : 201907299.0 2539 0.925 : 201907302.0 2177 0.858 : 201907303.0 2619 0.926 : 201907304.0 2764 0.973 : 201907305.0 2628 0.954 : 201907306.0 2820 0.987 : 201907374.0 2240 0.824 : 201907690.0 2164 0.880 : 201907792.0 2501 0.904 : 201907793.0 2389 0.910 : 201908007.0 2051 0.797 : 201908008.0 2473 0.912 : 201908011.0 2274 0.848 : 201908198.0 2184 0.837 : 201908199.0 2741 0.978 : 201908202.0 2324 0.907 : 201908211.0 2929 0.967 : 201909176.0 2334 0.878 Total number of 1 second bins: 7625 Bins with >0 counts : 7162 Bins with >2000 counts : 220 220 of 220 high count rate bins were dominated by noise Noise dominated 2.89% of total time, 3.07% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 201904335.0 2540 0.916 : 201904336.0 2395 0.881 : 201904337.0 2390 0.894 : 201904338.0 2609 0.921 : 201904339.0 2659 0.907 : 201904340.0 2430 0.952 : 201904587.0 3038 0.957 : 201904588.0 2050 0.870 : 201904670.0 2692 0.912 : 201904671.0 2128 0.886 : 201905714.0 2291 0.884 : 201905715.0 2607 0.954 : 201906549.0 2594 0.884 : 201906843.0 2217 0.872 : 201907731.0 2256 0.835 : 201907809.0 2009 0.829 : 201907811.0 2704 0.967 : 201908890.0 2004 0.810 : 201909259.0 2283 0.905 : 201909260.0 2446 0.936 Total number of 1 second bins: 7625 Bins with >0 counts : 7162 Bins with >2000 counts : 20 20 of 20 high count rate bins were dominated by noise Noise dominated 0.26% of total time, 0.28% of detector on time (defined as non-zero counts)