Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 439223752.0 2097 0.794 : 439223758.0 2099 0.711 : 439223777.0 2016 0.748 : 439224305.0 3012 0.884 : 439224306.0 2168 0.930 : 439224309.0 2995 0.848 : 439224311.0 2458 0.846 : 439224312.0 2254 0.891 : 439224317.0 3509 0.889 : 439224320.0 3292 0.877 : 439224321.0 2446 0.927 : 439224322.0 2950 0.935 : 439224325.0 2191 0.819 : 439224328.0 2017 0.813 : 439224329.0 2149 0.863 : 439224461.0 2368 0.845 : 439224555.0 2387 0.861 : 439224672.0 2481 0.872 : 439224674.0 2292 0.807 : 439224675.0 2516 0.882 : 439224701.0 2230 0.843 : 439224703.0 2847 0.869 : 439224705.0 3960 0.932 : 439224707.0 2040 0.789 : 439224716.0 2846 0.883 : 439224733.0 2292 0.860 : 439224734.0 2583 0.870 : 439224736.0 2619 0.874 : 439224770.0 3337 0.880 : 439224773.0 2177 0.802 : 439224776.0 2619 0.889 : 439224784.0 2244 0.877 : 439224853.0 3568 0.909 : 439224867.0 2688 0.884 : 439224873.0 2300 0.830 : 439224874.0 2144 0.847 : 439224879.0 3026 0.858 : 439224881.0 2381 0.861 : 439224882.0 2535 0.882 : 439224883.0 3546 0.937 : 439224884.0 2590 0.938 : 439224886.0 2871 0.893 : 439224887.0 2440 0.914 : 439224889.0 2150 0.875 : 439224892.0 2358 0.849 : 439224893.0 2111 0.887 : 439224894.0 2207 0.854 : 439224906.0 2009 0.832 : 439224907.0 2078 0.821 : 439224908.0 2066 0.821 : 439224912.0 2019 0.817 : 439224913.0 2154 0.843 : 439224934.0 3207 0.908 : 439224936.0 2794 0.876 : 439224940.0 2343 0.849 : 439224941.0 2184 0.864 : 439224944.0 2735 0.863 : 439224945.0 2420 0.874 : 439225023.0 2137 0.828 : 439225035.0 2172 0.896 : 439225077.0 2423 0.847 : 439225104.0 2154 0.803 : 439225105.0 2039 0.808 : 439225124.0 2319 0.823 : 439225160.0 3095 0.859 : 439225299.0 3924 0.904 : 439225824.0 2384 0.862 : 439225831.0 2093 0.834 : 439225855.0 2044 0.841 : 439226558.0 2483 0.863 : 439226964.0 2450 0.872 : 439226965.0 2118 0.856 : 439226966.0 2362 0.861 : 439226967.0 2368 0.882 : 439226968.0 2349 0.848 : 439227153.0 2887 0.893 : 439227253.0 2424 0.868 : 439227263.0 2229 0.831 : 439227350.0 2082 0.802 : 439227475.0 2062 0.824 : 439227480.0 2661 0.882 : 439227481.0 2451 0.878 : 439227482.0 3421 0.918 : 439227828.0 2040 0.855 : 439227846.0 2448 0.856 : 439227852.0 2103 0.857 : 439227855.0 2406 0.874 : 439227856.0 2080 0.817 : 439227885.0 2477 0.870 : 439227904.0 4551 0.926 : 439227907.0 2215 0.854 : 439227908.0 2270 0.915 : 439227910.0 4561 0.936 : 439227911.0 2836 0.976 : 439227917.0 2493 0.922 : 439227921.0 2599 0.869 : 439227949.0 4775 0.930 : 439227950.0 2628 0.967 : 439227951.0 2890 0.979 : 439227970.0 2237 0.860 : 439227972.0 4065 0.946 : 439227973.0 2781 0.944 : 439227974.0 2088 0.958 : 439227975.0 2677 0.948 : 439227976.0 3613 0.968 : 439227977.0 2853 0.973 : 439227978.0 2682 0.987 : 439227979.0 2654 0.963 : 439227980.0 2750 0.969 : 439227981.0 2945 0.968 : 439227982.0 2171 0.947 : 439227983.0 3107 0.959 : 439227985.0 4985 0.964 : 439227987.0 2736 0.986 : 439227988.0 2907 0.974 : 439227993.0 4594 0.945 : 439227994.0 2807 0.964 : 439227995.0 2762 0.990 : 439228035.0 2323 0.847 : 439228036.0 3639 0.969 : 439228042.0 4171 0.930 : 439228043.0 2795 0.977 : 439228045.0 3786 0.970 : 439228048.0 2583 0.859 : 439228052.0 2087 0.830 : 439228060.0 2394 0.910 : 439228079.0 4452 0.921 : 439228080.0 2765 0.959 : 439228082.0 2557 0.849 : 439228084.0 3840 0.912 : 439228085.0 2476 0.954 : 439228087.0 3392 0.906 : 439228088.0 2893 0.969 : 439228090.0 3667 0.960 : 439228094.0 2427 0.838 : 439228100.0 4450 0.939 : 439228101.0 2541 0.944 : 439228102.0 2685 0.969 : 439228103.0 2848 0.971 : 439228167.0 3246 0.894 : 439228170.0 2113 0.795 : 439228171.0 3270 0.944 : 439228236.0 4153 0.957 : 439228353.0 2380 0.850 : 439228442.0 3850 0.898 : 439228443.0 2257 0.922 : 439228444.0 3161 0.972 : 439229975.0 2193 0.918 : 439229977.0 2114 0.775 : 439229979.0 2211 0.805 : 439229980.0 2104 0.828 : 439229981.0 2196 0.808 : 439229982.0 2036 0.836 : 439229983.0 2317 0.801 : 439229990.0 2135 0.780 : 439229991.0 2334 0.789 : 439229995.0 2277 0.826 : 439229996.0 2005 0.788 : 439229998.0 2105 0.775 : 439230001.0 2053 0.727 : 439230006.0 2202 0.739 : 439230011.0 2096 0.779 : 439230016.0 2022 0.729 : 439230022.0 2222 0.783 : 439230028.0 2013 0.737 : 439230036.0 2027 0.744 : 439230041.0 2079 0.747 : 439230048.0 2013 0.700 : 439230054.0 2227 0.776 : 439230066.0 2026 0.746 : 439230069.0 2157 0.742 : 439230072.0 2099 0.748 : 439230075.0 2088 0.746 : 439230089.0 2096 0.826 : 439230100.0 2049 0.776 : 439230118.0 2066 0.742 : 439230152.0 2026 0.781 : 439230155.0 2222 0.733 : 439230159.0 2123 0.753 : 439230203.0 3212 0.850 : 439230240.0 2024 0.765 : 439230244.0 2184 0.814 : 439230245.0 2158 0.817 : 439230246.0 2053 0.798 : 439230247.0 2288 0.822 : 439230248.0 2045 0.801 : 439230250.0 2351 0.808 : 439230251.0 2202 0.797 : 439230252.0 2026 0.799 : 439230254.0 2297 0.829 : 439230255.0 2329 0.800 : 439230256.0 3408 0.876 : 439230258.0 2192 0.785 : 439230259.0 2179 0.825 : 439230260.0 2158 0.813 : 439230264.0 2167 0.866 : 439230265.0 2104 0.879 : 439230267.0 2013 0.794 : 439230268.0 2019 0.789 : 439230270.0 2172 0.785 : 439230274.0 2113 0.807 : 439230275.0 2086 0.796 : 439230342.0 2242 0.817 : 439230353.0 2108 0.779 : 439230356.0 2288 0.822 : 439230364.0 2426 0.868 : 439230365.0 2411 0.849 : 439230366.0 2109 0.845 : 439230396.0 2009 0.791 : 439230397.0 2101 0.789 : 439230398.0 2168 0.798 : 439230413.0 2060 0.799 : 439230422.0 2023 0.795 : 439230467.0 2032 0.782 : 439230484.0 2129 0.772 : 439230559.0 2050 0.793 : 439230882.0 2425 0.833 : 439230889.0 2716 0.856 : 439230910.0 2583 0.864 : 439230911.0 2156 0.823 : 439230918.0 2025 0.812 : 439230919.0 2439 0.889 : 439230920.0 2218 0.850 : 439230921.0 2187 0.831 : 439230922.0 2354 0.873 : 439230924.0 2581 0.914 : 439230925.0 2249 0.906 : 439230926.0 3884 0.959 : 439230929.0 4437 0.950 : 439230930.0 2132 0.940 : 439230931.0 2903 0.942 : 439230933.0 2430 0.887 : 439230934.0 2496 0.910 : 439230935.0 3541 0.933 : 439230937.0 3957 0.968 : 439230938.0 2714 0.993 : 439230939.0 2760 0.992 : 439230940.0 2735 0.988 : 439230941.0 2812 0.964 : 439230942.0 2611 0.995 : 439230943.0 2658 0.950 : 439230944.0 2727 0.992 : 439230945.0 2938 1.000 : 439230946.0 2803 1.000 : 439230947.0 2869 0.997 : 439230948.0 2714 1.000 : 439230949.0 2756 0.995 : 439230950.0 2877 0.994 : 439230951.0 2789 0.998 : 439230952.0 2761 0.993 : 439230953.0 2910 0.998 : 439230954.0 2572 0.996 : 439230955.0 2814 0.995 : 439230956.0 2824 0.991 : 439230958.0 3378 0.997 : 439230959.0 2726 0.993 : 439230960.0 2405 0.962 : 439230961.0 2851 0.975 : 439230962.0 2809 0.992 : 439230963.0 2564 0.978 : 439230964.0 2831 0.970 : 439230965.0 2816 0.962 : 439230966.0 2453 0.971 : 439230967.0 2781 0.972 : 439230969.0 3580 0.956 : 439230971.0 4380 0.946 : 439230972.0 2070 0.949 : 439230973.0 2212 0.942 : 439230974.0 3541 0.944 : 439230976.0 3654 0.950 : 439230978.0 2129 0.843 : 439230979.0 2196 0.901 : 439230981.0 2865 0.872 : 439230983.0 2847 0.893 : 439230984.0 2316 0.820 : 439230986.0 2782 0.891 : 439230987.0 3068 0.920 : 439230988.0 2120 0.887 : 439230989.0 2737 0.978 : 439230990.0 2577 0.978 : 439230991.0 2889 0.977 : 439230992.0 2311 0.979 : 439230993.0 2350 0.982 : 439230994.0 2826 0.983 : 439230996.0 3440 0.976 : 439230997.0 2686 0.965 : 439230998.0 2403 0.938 : 439230999.0 2764 0.962 : 439231000.0 2846 0.977 : 439231001.0 2709 0.961 : 439231002.0 2744 0.992 : 439231003.0 2657 0.949 : 439231004.0 2632 0.975 : 439231006.0 3660 0.975 : 439231007.0 2793 0.959 : 439231009.0 2151 0.792 : 439231010.0 3269 0.890 : 439231011.0 2414 0.931 : 439231012.0 3358 0.979 : 439231014.0 2295 0.995 : 439231015.0 2309 0.988 : 439231016.0 2100 0.981 : 439231017.0 2373 0.988 : 439231018.0 2524 0.983 : 439231019.0 2336 0.978 : 439231020.0 2288 0.978 : 439231021.0 2115 0.983 : 439231022.0 2272 0.957 : 439231024.0 3376 0.958 : 439231025.0 2090 0.982 : 439231028.0 2392 0.981 : 439231029.0 2142 1.000 : 439231030.0 2023 1.000 : 439231031.0 2379 0.986 : 439231032.0 2273 0.991 : 439231033.0 2132 0.987 : 439231034.0 2635 0.983 : 439231035.0 2093 0.996 : 439231037.0 2152 0.971 : 439231041.0 2281 0.972 : 439231044.0 2442 0.952 : 439231045.0 2349 0.943 : 439231046.0 2704 0.955 : 439231047.0 2169 0.939 : 439231048.0 2918 0.946 : 439231049.0 2471 0.933 : 439231051.0 2808 0.928 : 439231052.0 2382 0.963 : 439231053.0 2342 0.982 : 439231054.0 2533 0.975 : 439231055.0 2013 0.936 : 439231058.0 3372 0.923 : 439231059.0 2205 0.915 : 439231060.0 2723 0.933 : 439231061.0 3124 0.961 : 439231062.0 2702 0.971 : 439231063.0 2809 0.958 : 439231064.0 2551 0.967 : 439231065.0 2088 0.946 : 439231066.0 2436 0.961 : 439231067.0 2405 0.978 : 439231069.0 2694 0.959 : 439231070.0 2063 1.000 : 439231071.0 2572 0.987 : 439231072.0 2447 0.960 : 439231074.0 2583 0.925 : 439231075.0 2275 0.913 : 439231076.0 2353 0.886 : 439231078.0 2437 0.907 : 439231079.0 2445 0.893 : 439231080.0 2930 0.969 : 439231081.0 2704 0.993 : 439231086.0 2279 0.832 : 439231087.0 2765 0.876 : 439231089.0 2609 0.892 : 439231090.0 2332 0.911 : 439231091.0 2477 0.881 : 439231092.0 2459 0.919 : 439231094.0 3427 0.940 : 439231096.0 2554 0.887 : 439231097.0 3430 0.949 : 439231099.0 2211 0.882 : 439231100.0 3140 0.927 : 439231101.0 2098 0.923 : 439231103.0 2578 0.888 : 439231104.0 2703 0.917 : 439231105.0 2733 0.915 : 439231106.0 2316 0.911 : 439231108.0 2483 0.894 : 439231109.0 2040 0.881 : 439231110.0 2338 0.900 : 439231111.0 2196 0.905 : 439231113.0 3206 0.924 : 439231114.0 2634 0.953 : 439231115.0 3204 0.973 : 439231116.0 2614 0.969 : 439231117.0 2750 0.977 : 439231118.0 2758 0.978 : 439231119.0 2804 0.975 : 439231121.0 2380 0.945 : 439231122.0 2433 0.952 : 439231123.0 2365 0.960 : 439231124.0 2329 0.951 : 439231125.0 2494 0.951 : 439231126.0 2176 0.932 : 439231128.0 2358 0.955 : 439231129.0 2071 0.941 : 439231130.0 3029 0.963 : 439231131.0 2451 0.963 : 439231133.0 2200 0.946 : 439231134.0 2614 0.941 : 439231136.0 2288 0.935 : 439231137.0 2628 0.933 : 439231138.0 2230 0.877 : 439231139.0 2953 0.924 : 439231140.0 2999 0.928 : 439231142.0 2869 0.920 : 439231143.0 2547 0.929 : 439231144.0 2474 0.925 : 439231145.0 3230 0.955 : 439231146.0 2614 0.927 : 439231147.0 2138 0.907 : 439231148.0 3123 0.981 : 439231149.0 2763 0.991 : 439231150.0 2743 0.987 : 439231151.0 2803 0.987 : 439231152.0 2878 0.988 : 439231153.0 2739 0.985 : 439231154.0 2879 0.984 : 439231155.0 2791 0.978 : 439231156.0 2899 0.991 : 439231158.0 3800 0.976 : 439231159.0 2747 0.988 : 439231160.0 2786 0.986 : 439231161.0 2902 0.992 : 439231162.0 2939 0.993 : 439231163.0 2873 0.988 : 439231164.0 2858 0.985 : 439231165.0 2796 0.988 : 439231166.0 2844 0.991 : 439231167.0 2818 0.982 : 439231168.0 2794 0.986 : 439231169.0 2774 0.977 : 439231170.0 2720 0.979 : 439231171.0 2797 1.000 : 439231172.0 2207 0.944 : 439231173.0 3325 0.978 : 439231174.0 2861 0.986 : 439231175.0 2941 0.994 : 439231176.0 2784 0.991 : 439231177.0 2894 0.993 : 439231178.0 2820 0.986 : 439231179.0 2743 0.991 : 439231180.0 2954 0.986 : 439231181.0 2835 0.994 : 439231182.0 2440 0.999 : 439231183.0 2695 0.987 : 439231184.0 2854 0.995 : 439231185.0 2409 0.964 : 439231186.0 2840 0.981 : 439231187.0 2879 0.991 : 439231188.0 2611 0.979 : 439231189.0 2868 0.989 : 439231190.0 2791 0.985 : 439231191.0 2900 0.987 : 439231192.0 2789 0.987 : 439231193.0 2468 0.978 : 439231194.0 2324 0.954 : 439231195.0 2790 0.975 : 439231196.0 2711 0.957 : 439231197.0 2841 0.992 : 439231198.0 2721 0.981 : 439231199.0 2595 0.978 : 439231200.0 2733 0.988 : 439231201.0 2788 0.982 : 439231202.0 2790 0.985 : 439231203.0 2578 0.988 : 439231204.0 2861 0.994 : 439231205.0 2877 0.975 : 439231206.0 2907 0.990 : 439231207.0 2925 0.986 : 439231208.0 2938 0.985 : 439231209.0 2666 0.984 : 439231210.0 2772 0.987 : 439231211.0 2945 0.982 : 439231212.0 2902 0.980 : 439231213.0 2821 0.989 : 439231214.0 2893 0.977 : 439231215.0 2893 0.999 : 439231216.0 2877 0.981 : 439231217.0 2805 0.984 : 439231218.0 2790 0.986 : 439231219.0 2882 0.980 : 439231220.0 2736 0.965 : 439231221.0 2893 0.979 : 439231222.0 2565 0.975 : 439231223.0 2526 0.976 : 439231224.0 2751 0.986 : 439231225.0 2776 0.974 : 439231226.0 2724 0.985 : 439231227.0 2896 0.978 : 439231228.0 2796 0.982 : 439231229.0 2864 0.984 : 439231230.0 2777 0.981 : 439231231.0 2597 0.979 : 439231232.0 2402 0.958 : 439231233.0 2529 0.946 : 439231234.0 2633 0.932 : 439231235.0 3213 0.958 : 439231237.0 2248 0.931 : 439231238.0 2584 0.938 : 439231239.0 3606 0.946 : 439231241.0 2987 0.907 : 439231242.0 2204 0.886 : 439231243.0 2723 0.896 : 439231244.0 2797 0.926 : 439231245.0 2115 0.943 : 439231247.0 3618 0.909 : 439231249.0 2516 0.927 : 439231250.0 2523 0.918 : 439231251.0 2604 0.926 : 439231253.0 2064 0.835 : 439231255.0 2837 0.878 : 439231256.0 3146 0.938 : 439231258.0 4389 0.981 : 439231259.0 2761 1.000 : 439231260.0 2746 0.981 : 439231261.0 2560 0.970 : 439231262.0 2921 0.979 : 439231263.0 2856 0.986 Total number of 1 second bins: 7520 Bins with >0 counts : 6306 Bins with >2000 counts : 510 510 of 510 high count rate bins were dominated by noise Noise dominated 6.78% of total time, 8.09% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 439223764.0 2379 0.720 : 439223770.0 2133 0.799 : 439223771.0 2647 0.838 : 439223779.0 2043 0.791 : 439223834.0 3646 0.890 : 439223835.0 2140 0.894 : 439223988.0 2077 0.786 : 439224072.0 2184 0.820 : 439224111.0 3460 0.925 : 439224115.0 2027 0.789 : 439224154.0 2563 0.915 : 439224156.0 2154 0.923 : 439224158.0 3576 0.915 : 439224162.0 2263 0.795 : 439224238.0 2046 0.772 : 439224972.0 2681 0.898 : 439224973.0 2345 0.892 : 439224974.0 2333 0.887 : 439224976.0 2239 0.840 : 439224978.0 2022 0.827 : 439225501.0 2023 0.800 : 439225672.0 2016 0.830 : 439227104.0 2294 0.865 : 439227651.0 2009 0.823 : 439227652.0 3812 0.965 : 439227653.0 2769 0.982 : 439227654.0 2544 0.961 : 439227655.0 2296 0.991 : 439227656.0 2237 0.999 : 439227658.0 2389 0.939 : 439227659.0 3048 0.941 : 439227661.0 2699 0.918 : 439229979.0 2322 0.748 : 439230031.0 2054 0.726 : 439230051.0 2090 0.825 : 439230052.0 2075 0.829 : 439230053.0 2110 0.850 : 439230054.0 2026 0.801 : 439230055.0 2104 0.837 : 439230163.0 2348 0.822 : 439230286.0 2014 0.789 : 439231130.0 2083 0.817 : 439231217.0 2346 0.855 Total number of 1 second bins: 7521 Bins with >0 counts : 6307 Bins with >2000 counts : 43 43 of 43 high count rate bins were dominated by noise Noise dominated 0.57% of total time, 0.68% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 439227659.0 3003 0.893 : 439228309.0 2525 0.874 : 439228639.0 2583 0.758 : 439228643.0 2195 0.794 : 439228647.0 3358 0.847 : 439228659.0 2068 0.694 : 439228660.0 2401 0.755 : 439228662.0 2364 0.824 : 439228663.0 2134 0.777 : 439228665.0 2344 0.750 : 439228668.0 2153 0.649 : 439228669.0 2779 0.866 : 439228672.0 2159 0.739 : 439228674.0 2111 0.806 : 439228676.0 2735 0.851 : 439228681.0 2108 0.717 : 439228691.0 2716 0.798 : 439228707.0 2109 0.762 : 439228710.0 2702 0.829 : 439228713.0 2029 0.546 : 439230304.0 2232 0.777 : 439231142.0 2196 0.844 Total number of 1 second bins: 7521 Bins with >0 counts : 6307 Bins with >2000 counts : 22 22 of 22 high count rate bins were dominated by noise Noise dominated 0.29% of total time, 0.35% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 439223903.0 2163 0.832 : 439223904.0 2138 0.811 : 439223905.0 2124 0.778 : 439223907.0 3136 0.869 : 439223909.0 3037 0.922 : 439224074.0 2010 0.798 : 439224075.0 2801 0.885 : 439224077.0 3939 0.898 : 439224078.0 2677 0.931 : 439224080.0 3267 0.901 : 439224954.0 2104 0.868 : 439224955.0 2135 0.850 : 439225258.0 2156 0.846 : 439226024.0 3853 0.959 : 439226025.0 3320 1.000 : 439226040.0 4205 0.928 : 439226043.0 2441 0.893 : 439226109.0 2230 0.846 : 439226132.0 2994 0.907 : 439226133.0 2052 0.865 : 439226134.0 2859 0.990 : 439226136.0 2364 0.981 : 439226139.0 2039 0.911 : 439226140.0 2976 0.948 : 439226141.0 2254 0.937 : 439226142.0 2798 1.000 : 439226145.0 3807 0.957 : 439226159.0 3323 0.902 : 439226250.0 2041 0.868 : 439226311.0 3368 0.919 : 439226741.0 2398 0.910 : 439227044.0 3354 0.926 : 439227302.0 2207 0.855 : 439227314.0 2403 0.862 : 439227315.0 2051 0.864 : 439227369.0 2404 0.868 : 439227665.0 2054 0.817 : 439227666.0 2551 0.882 : 439228076.0 2286 0.870 : 439228087.0 2770 0.879 : 439228088.0 2068 0.847 : 439228096.0 2036 0.863 : 439228101.0 2085 0.824 : 439228148.0 2465 0.856 : 439228149.0 2148 0.881 : 439228150.0 3238 0.914 : 439228151.0 2029 0.911 : 439228152.0 2485 0.879 : 439228153.0 2567 0.885 : 439228156.0 2267 0.853 : 439228158.0 3236 0.918 : 439228159.0 2740 0.918 : 439228160.0 2288 0.927 : 439228161.0 2867 0.906 : 439228164.0 2655 0.875 : 439228174.0 2496 0.868 : 439228175.0 2373 0.898 : 439228177.0 2282 0.840 : 439228178.0 2491 0.898 : 439228179.0 3524 0.935 : 439228180.0 2318 0.944 : 439228181.0 2101 0.894 : 439228182.0 4124 0.944 : 439228183.0 2552 0.956 : 439228209.0 2097 0.829 : 439228497.0 2490 0.844 : 439228499.0 3031 0.880 : 439228501.0 2043 0.833 : 439228502.0 3141 0.884 : 439228506.0 2024 0.813 : 439228524.0 2071 0.825 : 439228540.0 2048 0.792 : 439228541.0 2145 0.815 : 439228543.0 2171 0.828 : 439228545.0 2223 0.796 : 439228547.0 2473 0.825 : 439228549.0 2907 0.910 : 439228558.0 2352 0.841 : 439228704.0 2404 0.762 : 439230005.0 4052 0.900 : 439230013.0 3433 0.833 : 439230015.0 3073 0.878 : 439230026.0 2066 0.773 : 439230039.0 4395 0.939 : 439230040.0 2715 0.985 : 439230041.0 2577 0.986 : 439230042.0 2606 0.988 : 439230044.0 2571 0.814 : 439230046.0 4288 0.944 : 439230051.0 2323 0.776 : 439230053.0 2992 0.873 : 439230073.0 2196 0.766 : 439230074.0 2829 0.990 : 439230088.0 2239 0.891 : 439230142.0 2543 0.794 : 439230145.0 2513 0.845 : 439230265.0 2700 0.890 : 439230271.0 2108 0.792 : 439230281.0 2061 0.817 : 439230288.0 2280 0.811 : 439230292.0 2019 0.775 : 439230294.0 2050 0.806 : 439230313.0 2566 0.831 : 439230317.0 2166 0.805 : 439230318.0 2544 0.864 : 439230321.0 2437 0.849 : 439230324.0 3557 0.889 : 439230326.0 3889 0.924 : 439230328.0 3203 0.943 : 439230329.0 2481 0.923 : 439230331.0 3162 0.917 : 439230332.0 3198 0.937 : 439230335.0 4020 0.946 : 439230336.0 2352 0.937 : 439230337.0 2796 0.933 : 439230339.0 2365 0.857 : 439230341.0 2216 0.840 : 439230342.0 3698 0.930 : 439230344.0 3279 0.933 : 439230345.0 2805 0.954 : 439230346.0 2423 0.965 : 439230348.0 3544 0.918 : 439230349.0 2625 0.960 : 439230350.0 2125 0.952 : 439230351.0 2669 0.930 : 439230353.0 2960 0.959 : 439230355.0 2901 0.923 : 439230356.0 2137 0.903 : 439230358.0 2495 0.885 : 439230359.0 3435 0.900 : 439230363.0 3363 0.924 : 439230364.0 2310 0.907 : 439230366.0 2169 0.811 : 439230367.0 3064 0.903 : 439230368.0 2160 0.919 : 439230369.0 3018 0.967 : 439230370.0 2274 0.954 : 439230372.0 3963 0.953 : 439230373.0 2354 0.983 : 439230374.0 2136 0.950 : 439230376.0 3481 0.904 : 439230377.0 2421 0.965 : 439230379.0 3227 0.950 : 439230381.0 3043 0.970 : 439230383.0 3584 0.933 : 439230385.0 3079 0.975 : 439230386.0 2509 0.949 : 439230388.0 2706 0.928 : 439230389.0 2144 0.924 : 439230390.0 2103 0.878 : 439230391.0 2500 0.856 : 439230392.0 2878 0.929 : 439230395.0 3224 0.926 : 439230397.0 2367 0.869 : 439230398.0 2272 0.864 : 439230399.0 2287 0.885 : 439230401.0 2136 0.810 : 439230403.0 2690 0.837 : 439230404.0 2767 0.875 : 439230406.0 3097 0.838 : 439230409.0 2908 0.864 : 439230552.0 2279 0.914 : 439230553.0 2286 0.893 : 439230646.0 2143 0.861 : 439230647.0 2020 0.831 : 439230816.0 2500 0.850 : 439230817.0 3486 0.946 : 439230819.0 2193 0.816 : 439230821.0 3592 0.902 : 439230822.0 2711 0.911 : 439230823.0 2202 0.906 : 439230838.0 2120 0.826 : 439230840.0 3289 0.866 : 439230883.0 2930 0.965 : 439231045.0 4433 0.933 : 439231073.0 4557 0.960 : 439231117.0 4271 0.949 : 439231118.0 2415 0.968 : 439231119.0 2875 0.975 : 439231120.0 2317 0.982 : 439231121.0 2449 0.985 : 439231122.0 2708 0.972 : 439231123.0 2701 0.972 : 439231124.0 2242 0.943 : 439231125.0 2461 0.976 : 439231126.0 2732 1.000 : 439231145.0 2075 0.880 : 439231148.0 2829 0.937 : 439231149.0 4074 0.953 : 439231150.0 2851 0.988 : 439231151.0 2601 0.960 : 439231153.0 4635 0.935 : 439231154.0 2047 0.948 Total number of 1 second bins: 7521 Bins with >0 counts : 6307 Bins with >2000 counts : 193 193 of 193 high count rate bins were dominated by noise Noise dominated 2.57% of total time, 3.06% of detector on time (defined as non-zero counts)