Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 456175268.0 2248 0.923 : 456175269.0 2014 0.830 : 456175273.0 2052 0.860 : 456175275.0 2126 0.864 : 456175277.0 2023 0.887 : 456175278.0 2472 0.997 : 456175279.0 2456 1.000 : 456175280.0 2341 0.977 : 456175295.0 2195 0.902 : 456175296.0 2484 0.914 : 456175297.0 2417 0.939 : 456175299.0 2182 0.832 : 456175300.0 2455 0.921 : 456175309.0 2357 0.794 : 456175311.0 2134 0.795 : 456175313.0 2174 0.824 : 456175316.0 2128 0.859 : 456175319.0 2027 0.801 : 456175325.0 2138 0.775 : 456175330.0 2170 0.796 : 456175331.0 2847 0.975 : 456175332.0 2477 0.964 : 456175333.0 2458 1.000 : 456175334.0 2546 1.000 : 456175335.0 2721 0.975 : 456175336.0 2680 0.943 : 456175337.0 2460 0.907 : 456175339.0 2205 0.779 : 456175340.0 2530 0.909 : 456175341.0 2565 0.904 : 456175343.0 2012 0.761 : 456175344.0 2117 0.819 : 456175348.0 2302 0.819 : 456177291.0 2990 0.875 : 456177357.0 4259 0.952 : 456177358.0 2621 0.973 : 456177359.0 2635 0.967 : 456177360.0 2630 0.959 : 456177361.0 2653 0.966 : 456177362.0 2688 0.970 : 456177365.0 3698 0.956 : 456177366.0 2456 0.954 : 456177367.0 2713 0.946 : 456177368.0 2739 0.961 : 456177369.0 2825 0.955 : 456177370.0 2567 0.949 : 456177371.0 2487 0.930 : 456177375.0 2056 0.844 : 456177385.0 3716 0.937 : 456177386.0 2836 0.969 : 456177387.0 2786 0.979 : 456177388.0 2581 0.969 : 456177389.0 2786 0.958 : 456177390.0 2914 0.975 : 456177391.0 2782 0.961 : 456177392.0 2575 0.956 : 456177393.0 2740 0.966 : 456177394.0 2802 0.963 : 456177395.0 2818 0.969 : 456177396.0 2813 0.970 : 456177397.0 2807 0.984 : 456177398.0 2583 0.957 : 456177399.0 2702 0.959 : 456177400.0 2815 0.968 : 456177402.0 2135 0.868 : 456177403.0 2162 0.846 : 456177406.0 2053 0.827 : 456180695.0 2590 0.862 : 456181563.0 2347 0.918 : 456181564.0 2207 0.857 : 456181565.0 2006 0.855 : 456181567.0 2106 0.858 : 456181569.0 2045 0.800 : 456181570.0 2031 0.821 : 456181583.0 2076 0.792 : 456181591.0 2002 0.755 : 456181598.0 2126 0.788 : 456181620.0 2153 0.825 : 456181624.0 2206 0.790 : 456181626.0 2030 0.766 : 456181632.0 2031 0.773 Total number of 1 second bins: 13583 Bins with >0 counts : 12565 Bins with >2000 counts : 81 81 of 81 high count rate bins were dominated by noise Noise dominated 0.60% of total time, 0.64% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 456170983.0 2728 0.920 : 456171356.0 2350 0.900 : 456171770.0 2027 0.851 : 456171795.0 3712 0.939 : 456172046.0 2663 0.897 : 456172048.0 3126 0.948 : 456172051.0 3665 0.955 : 456172085.0 2476 0.888 : 456172086.0 2260 0.882 : 456172087.0 2066 0.852 : 456173852.0 2916 0.877 : 456173906.0 3762 0.943 : 456174356.0 2030 0.851 : 456174457.0 2754 0.878 : 456175272.0 2095 0.778 : 456175673.0 2525 0.853 : 456175674.0 2771 0.960 : 456175675.0 2731 0.956 : 456175676.0 2716 0.957 : 456175677.0 2730 0.970 : 456175679.0 2010 0.872 : 456175680.0 2362 0.865 : 456177267.0 2062 0.863 : 456177700.0 2094 0.883 : 456177847.0 2027 0.900 : 456177936.0 2500 0.894 : 456177943.0 2633 0.896 : 456177946.0 2204 0.913 : 456177948.0 2972 0.917 : 456177949.0 2834 0.980 : 456177950.0 2588 0.973 : 456177951.0 2812 0.979 : 456177952.0 2728 0.954 : 456177953.0 2658 0.947 : 456177954.0 2412 0.993 : 456177955.0 2751 0.997 : 456177974.0 3126 0.910 : 456178734.0 2345 0.887 : 456178735.0 2259 0.948 : 456179184.0 2257 0.850 : 456179485.0 2122 0.854 : 456179487.0 2255 0.848 : 456179491.0 2880 0.884 : 456179501.0 3079 0.912 : 456181785.0 3135 0.892 : 456182631.0 2749 0.898 Total number of 1 second bins: 13583 Bins with >0 counts : 12565 Bins with >2000 counts : 46 46 of 46 high count rate bins were dominated by noise Noise dominated 0.34% of total time, 0.37% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 456171188.0 3569 0.993 : 456171189.0 2274 1.000 : 456171190.0 2634 0.997 : 456171191.0 2640 1.000 : 456171467.0 2988 0.899 : 456171469.0 2124 0.837 : 456171539.0 2256 0.854 : 456171587.0 2012 0.838 : 456173543.0 2399 0.880 : 456174840.0 2740 0.926 : 456174845.0 2087 0.876 : 456174851.0 2136 0.801 : 456176286.0 2025 0.816 : 456176348.0 2447 0.852 : 456176352.0 2270 0.837 : 456179445.0 2205 0.875 : 456179446.0 2192 0.844 : 456179448.0 2777 0.891 : 456179449.0 2399 0.897 : 456179450.0 2410 0.891 : 456179451.0 2549 0.909 : 456179452.0 2212 0.874 : 456179453.0 2394 0.865 : 456179454.0 2505 0.877 : 456179455.0 2748 0.909 : 456179456.0 2859 0.932 : 456179600.0 3356 0.904 : 456179604.0 2100 0.833 : 456179605.0 2499 0.896 : 456179606.0 2685 0.903 : 456179607.0 2272 0.874 : 456179608.0 2692 0.891 : 456180288.0 2308 0.844 : 456180310.0 3165 0.863 : 456180312.0 2083 0.868 : 456180314.0 2168 0.825 : 456180332.0 2893 0.869 : 456180334.0 2184 0.831 : 456180335.0 2275 0.885 : 456180336.0 2391 0.857 : 456180344.0 2201 0.841 : 456180345.0 2613 0.867 : 456180348.0 2273 0.833 : 456180350.0 2104 0.815 : 456180355.0 2370 0.862 : 456180356.0 2168 0.884 : 456180359.0 2015 0.828 : 456180378.0 2221 0.828 : 456180383.0 2170 0.827 : 456180385.0 2144 0.853 : 456180387.0 2019 0.799 : 456180389.0 2076 0.795 : 456180392.0 2275 0.821 : 456180396.0 2450 0.859 : 456180398.0 3102 0.877 : 456180401.0 2458 0.854 : 456180458.0 2668 0.882 : 456180459.0 2473 0.916 : 456180460.0 2545 0.939 : 456180476.0 2841 0.878 : 456180485.0 3041 0.906 : 456180486.0 2705 0.947 : 456180487.0 2450 0.914 : 456180488.0 2216 0.897 : 456180489.0 2073 0.892 : 456180490.0 2463 0.893 : 456180491.0 2767 0.948 : 456182949.0 2033 0.848 Total number of 1 second bins: 13584 Bins with >0 counts : 12566 Bins with >2000 counts : 68 68 of 68 high count rate bins were dominated by noise Noise dominated 0.50% of total time, 0.54% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 456169563.0 2600 0.964 : 456169564.0 2128 0.909 : 456169593.0 2198 0.848 : 456169594.0 2867 0.889 : 456169595.0 2526 0.945 : 456169600.0 3872 0.938 : 456169601.0 2210 0.927 : 456169603.0 2031 0.823 : 456169604.0 2863 0.909 : 456169610.0 2209 0.851 : 456169612.0 2715 0.879 : 456169621.0 2009 0.862 : 456169622.0 2267 0.887 : 456169650.0 3179 0.927 : 456169651.0 2032 0.884 : 456169652.0 2067 0.869 : 456169653.0 2064 0.916 : 456169657.0 2325 0.849 : 456169662.0 2620 0.858 : 456169663.0 2213 0.891 : 456169664.0 2421 0.904 : 456169665.0 2566 0.899 : 456169667.0 2891 0.934 : 456169671.0 2081 0.816 : 456169679.0 2819 0.868 : 456169681.0 2962 0.876 : 456169682.0 2521 0.933 : 456169683.0 2593 0.971 : 456169684.0 2464 0.932 : 456169688.0 2919 0.906 : 456169689.0 2251 0.916 : 456169691.0 3036 0.903 : 456169694.0 2675 0.876 : 456169695.0 2633 0.948 : 456169696.0 2241 0.934 : 456169697.0 2443 0.970 : 456169709.0 2054 0.862 : 456169751.0 2871 0.883 : 456169755.0 2802 0.883 : 456169756.0 2347 0.986 : 456169757.0 2068 0.909 : 456169758.0 2831 0.976 : 456169760.0 2855 0.871 : 456169762.0 2021 0.835 : 456169763.0 2212 0.861 : 456169766.0 3199 0.926 : 456169767.0 2198 0.913 : 456169768.0 2297 0.990 : 456169769.0 2407 0.922 : 456169771.0 3232 0.942 : 456169784.0 2850 0.865 : 456169805.0 2356 0.823 : 456169822.0 2738 0.878 : 456169824.0 2680 0.905 : 456169825.0 2393 0.953 : 456169826.0 2488 0.936 : 456169827.0 2689 0.940 : 456169828.0 2137 0.916 : 456169830.0 2451 0.857 : 456169831.0 2925 0.897 : 456169832.0 2391 0.890 : 456169833.0 2448 0.915 : 456169835.0 2427 0.900 : 456169836.0 3170 0.936 : 456169837.0 2701 0.954 : 456169839.0 2672 0.914 : 456169840.0 2281 0.915 : 456169841.0 2522 0.917 : 456169845.0 2251 0.837 : 456169848.0 3131 0.917 : 456169849.0 2275 0.903 : 456169852.0 2813 0.902 : 456169853.0 2536 0.931 : 456169855.0 2251 0.888 : 456169856.0 2019 0.858 : 456169859.0 2885 0.886 : 456169861.0 2389 0.856 : 456169862.0 2652 0.918 : 456169863.0 2143 0.898 : 456169864.0 2292 0.912 : 456169865.0 2062 0.873 : 456169866.0 2482 0.927 : 456169867.0 2503 0.939 : 456169868.0 2300 0.890 : 456169870.0 2322 0.866 : 456169871.0 2111 0.860 : 456169872.0 2666 0.898 : 456169873.0 2215 0.904 : 456169874.0 2613 0.953 : 456169875.0 2634 0.937 : 456169877.0 2043 0.897 : 456169878.0 2420 0.900 : 456169880.0 2024 0.850 : 456169881.0 2152 0.844 : 456169882.0 2153 0.820 : 456169886.0 2329 0.863 : 456169889.0 2281 0.848 : 456169891.0 2253 0.854 : 456169892.0 2122 0.861 : 456169893.0 2670 0.898 : 456169895.0 2043 0.861 : 456169897.0 3760 0.934 : 456169898.0 2594 0.923 : 456169899.0 2369 0.901 : 456169900.0 2407 0.921 : 456169901.0 2571 0.936 : 456169902.0 2280 0.914 : 456169903.0 2151 0.900 : 456169904.0 2469 0.944 : 456169905.0 2095 0.929 : 456169908.0 2641 0.872 : 456169910.0 3367 0.909 : 456169911.0 2075 0.903 : 456169912.0 2914 0.952 : 456169913.0 2250 0.895 : 456169916.0 2137 0.846 : 456169940.0 2485 0.841 : 456169942.0 2207 0.858 : 456169945.0 2101 0.850 : 456169946.0 2228 0.877 : 456169948.0 2144 0.839 : 456169949.0 2932 0.892 : 456169950.0 2262 0.910 : 456169951.0 2459 0.914 : 456169952.0 2366 0.924 : 456169953.0 2251 0.912 : 456169956.0 2310 0.845 : 456169957.0 2876 0.904 : 456169958.0 2592 0.941 : 456169959.0 2576 0.950 : 456169960.0 2165 0.906 : 456169961.0 2566 0.945 : 456169962.0 2680 0.960 : 456169963.0 2533 0.932 : 456169964.0 2364 0.971 : 456169965.0 2239 0.908 : 456169966.0 2568 0.952 : 456169967.0 2273 0.898 : 456169969.0 2655 0.869 : 456169973.0 2037 0.834 : 456169979.0 2511 0.867 : 456169980.0 2306 0.868 : 456169981.0 2024 0.886 : 456169983.0 2863 0.880 : 456169985.0 2992 0.896 : 456169986.0 2234 0.865 : 456169987.0 2682 0.977 : 456169988.0 2539 0.970 : 456169989.0 2496 0.934 : 456169990.0 2685 0.944 : 456169992.0 3493 0.921 : 456169995.0 2718 0.919 : 456169996.0 2474 0.886 : 456169997.0 2783 0.920 : 456169999.0 2113 0.851 : 456170000.0 3190 0.877 : 456170001.0 2211 0.929 : 456170002.0 2665 0.973 : 456170003.0 2470 0.963 : 456170004.0 2570 0.964 : 456170005.0 2529 0.944 : 456170006.0 2483 0.933 : 456170007.0 2676 0.958 : 456170008.0 2284 0.933 : 456170009.0 2504 0.942 : 456170010.0 2040 0.890 : 456170012.0 2376 0.877 : 456170013.0 2852 0.874 : 456170014.0 2306 0.905 : 456170015.0 2590 0.924 : 456170016.0 2189 0.911 : 456170017.0 2639 0.956 : 456170018.0 2604 0.943 : 456170019.0 2620 0.927 : 456170021.0 2053 0.849 : 456170023.0 2137 0.853 : 456170024.0 2433 0.858 : 456170025.0 2247 0.870 : 456170027.0 2170 0.813 : 456170030.0 2147 0.844 : 456170042.0 2635 0.876 : 456170045.0 3459 0.927 : 456170046.0 2537 0.963 : 456170048.0 2700 0.988 : 456170049.0 2688 0.990 : 456170050.0 2817 0.981 : 456170051.0 2763 0.970 : 456170052.0 2645 0.971 : 456170053.0 2571 0.974 : 456170054.0 2763 0.989 : 456170055.0 2742 0.985 : 456170056.0 2810 0.955 : 456170057.0 2091 0.895 : 456170058.0 2331 0.914 : 456170060.0 2497 0.857 : 456170062.0 3064 0.941 : 456170063.0 2616 0.946 : 456170064.0 2763 0.961 : 456170065.0 2570 0.938 : 456170066.0 2401 0.942 : 456170067.0 2761 0.980 : 456170068.0 2725 0.969 : 456170069.0 2751 0.972 : 456170070.0 2668 0.955 : 456170071.0 2494 0.929 : 456170072.0 2479 0.945 : 456170073.0 2651 0.954 : 456170074.0 2745 0.986 : 456170075.0 2742 0.946 : 456170076.0 2596 0.956 : 456170077.0 2555 0.957 : 456170078.0 2481 0.924 : 456170079.0 2642 0.964 : 456170080.0 2615 0.946 : 456170081.0 2665 0.946 : 456170082.0 2508 0.947 : 456170083.0 2278 0.930 : 456170085.0 2417 0.869 : 456170087.0 3387 0.989 : 456170089.0 3216 0.929 : 456170090.0 2053 0.922 : 456170091.0 2486 0.928 : 456170092.0 2585 0.945 : 456170093.0 2065 0.886 : 456170094.0 2105 0.870 : 456170102.0 3798 0.967 : 456170103.0 2678 0.979 : 456170104.0 2688 0.984 : 456170109.0 2730 0.875 : 456170125.0 2838 0.889 : 456170178.0 2425 0.873 : 456170268.0 2185 0.871 : 456170270.0 2920 0.885 : 456170271.0 2912 0.920 : 456170277.0 2508 0.852 : 456170310.0 2663 0.905 : 456170311.0 2520 0.922 : 456170317.0 2499 0.851 : 456170320.0 2096 0.808 : 456170321.0 2341 0.852 : 456170323.0 2675 0.879 : 456170325.0 2229 0.878 : 456170421.0 2702 0.866 : 456170425.0 2180 0.844 : 456170433.0 2011 0.804 : 456170436.0 2241 0.874 : 456170437.0 2623 0.870 : 456170450.0 3133 0.897 : 456170458.0 2612 0.837 : 456170471.0 2809 0.892 : 456170472.0 2355 0.868 : 456170474.0 2402 0.878 : 456170475.0 2539 0.907 : 456170477.0 2834 0.895 : 456170479.0 2682 0.872 : 456170480.0 2141 0.876 : 456170483.0 2252 0.853 : 456170484.0 2176 0.873 : 456170485.0 2094 0.838 : 456170487.0 2809 0.875 : 456170489.0 2390 0.850 : 456170490.0 2162 0.883 : 456170491.0 2278 0.861 : 456170492.0 2646 0.897 : 456170494.0 2066 0.839 : 456170495.0 2751 0.918 : 456170497.0 2767 0.989 : 456170498.0 2378 1.000 : 456170499.0 2601 0.950 : 456170500.0 2492 0.924 : 456170501.0 2410 0.948 : 456170502.0 2670 0.957 : 456170503.0 2547 0.933 : 456170504.0 2172 0.925 : 456170505.0 2333 0.952 : 456170506.0 2187 0.890 : 456170507.0 2399 0.923 : 456170508.0 2399 0.896 : 456170509.0 2041 0.895 : 456170510.0 2084 0.873 : 456170511.0 2121 0.872 : 456170512.0 3165 0.910 : 456170514.0 2118 0.843 : 456170515.0 3216 0.895 : 456170517.0 2697 0.898 : 456170518.0 2692 0.900 : 456170520.0 2077 0.815 : 456170522.0 2925 0.895 : 456170524.0 2828 0.884 : 456170530.0 2321 0.854 : 456170531.0 3019 0.898 : 456170532.0 2729 0.936 : 456170543.0 2699 0.865 : 456170548.0 2538 0.866 : 456170549.0 2319 0.908 : 456170550.0 2509 0.881 : 456170551.0 2138 0.913 : 456170561.0 2982 0.926 : 456170571.0 2777 0.873 : 456170574.0 2845 0.879 : 456170575.0 2220 0.879 : 456170576.0 2839 0.936 : 456170587.0 2910 0.899 : 456170588.0 2719 0.888 : 456170591.0 2613 0.892 : 456170592.0 2070 0.832 : 456170594.0 2121 0.817 : 456170595.0 2058 0.867 : 456170596.0 2532 0.886 : 456170598.0 2140 0.836 : 456170599.0 3157 0.917 : 456170600.0 2386 0.989 : 456170601.0 2213 0.907 : 456170602.0 2371 0.914 : 456170605.0 2480 0.869 : 456170606.0 2731 0.907 : 456170609.0 2303 0.853 : 456170610.0 2291 0.885 : 456170612.0 2445 0.881 : 456170614.0 2693 0.893 : 456170618.0 3846 0.936 : 456170619.0 2447 0.933 : 456170620.0 2557 0.939 : 456170623.0 2744 0.887 : 456170624.0 2414 0.903 : 456170625.0 2785 0.924 : 456170626.0 2281 0.923 : 456170627.0 2278 0.904 : 456170628.0 2355 0.943 : 456170630.0 2524 0.855 : 456170631.0 2198 0.889 : 456170632.0 2615 0.921 : 456170634.0 2258 0.851 : 456170635.0 2520 0.879 : 456170636.0 2945 0.947 : 456170638.0 2808 0.906 : 456170639.0 2110 0.889 : 456170640.0 2507 0.943 : 456170642.0 2548 0.888 : 456170643.0 2518 0.935 : 456170645.0 2472 0.883 : 456170646.0 2534 0.937 : 456170648.0 2897 0.906 : 456170650.0 2107 0.865 : 456170651.0 2019 0.851 : 456170653.0 2585 0.888 : 456170657.0 2039 0.846 : 456170658.0 3481 0.926 : 456170660.0 2294 0.876 : 456170661.0 2832 0.903 : 456170662.0 2219 0.873 : 456170663.0 2405 0.904 : 456170664.0 2855 0.946 : 456170665.0 2387 0.928 : 456170666.0 2837 0.947 : 456170667.0 2288 0.912 : 456170668.0 2987 0.972 : 456170669.0 2725 0.977 : 456170670.0 2503 0.962 : 456170672.0 3164 0.906 : 456170674.0 3011 0.906 : 456170675.0 2518 0.897 : 456170677.0 2257 0.855 : 456170678.0 3028 0.928 : 456170679.0 2013 0.872 : 456170680.0 2333 0.899 : 456170681.0 2277 0.907 : 456170684.0 3297 0.904 : 456170686.0 2397 0.882 : 456170687.0 2044 0.852 : 456170689.0 2176 0.850 : 456170690.0 3373 0.951 : 456170691.0 2511 0.961 : 456170692.0 2314 0.949 : 456170694.0 2002 0.867 : 456170695.0 2425 0.866 : 456170696.0 2928 0.918 : 456170697.0 2059 0.891 : 456170700.0 2674 0.890 : 456170701.0 2268 0.892 : 456170702.0 3337 0.949 : 456170703.0 2580 0.946 : 456170704.0 2064 0.906 : 456170705.0 2525 0.903 : 456170706.0 2363 0.906 : 456170707.0 2519 0.934 : 456170708.0 2511 0.978 : 456170709.0 2371 0.935 : 456170710.0 2754 0.957 : 456170711.0 2704 0.957 : 456170712.0 2698 0.962 : 456170713.0 2780 0.976 : 456170714.0 2664 0.929 : 456170715.0 2134 0.887 : 456170716.0 2652 0.985 : 456170717.0 2557 0.959 : 456170718.0 2419 0.929 : 456170719.0 2526 0.920 : 456170721.0 2834 0.924 : 456170722.0 2841 0.963 : 456170723.0 2748 0.969 : 456170724.0 2719 0.975 : 456170725.0 2753 0.969 : 456170726.0 2210 0.993 : 456170727.0 2669 0.960 : 456170728.0 2471 0.999 : 456170729.0 2599 0.991 : 456170730.0 2464 0.975 : 456170731.0 2696 0.999 : 456170732.0 2550 0.981 : 456170733.0 2421 0.973 : 456170734.0 2484 0.986 : 456170735.0 2293 0.928 : 456170736.0 2363 0.927 : 456170737.0 2385 0.982 : 456170738.0 2432 0.946 : 456170739.0 2351 1.000 : 456170740.0 2218 1.000 : 456170742.0 3106 0.933 : 456170743.0 2293 0.996 : 456170744.0 2619 0.981 : 456170745.0 2459 0.962 : 456170746.0 2061 0.900 : 456170748.0 2753 0.989 : 456170749.0 2445 1.000 : 456170750.0 2449 0.975 : 456170751.0 2706 0.977 : 456170753.0 2398 0.920 : 456170754.0 2310 0.890 : 456170756.0 3345 0.940 : 456170757.0 2658 0.992 : 456170758.0 2531 0.991 : 456170759.0 2572 0.958 : 456170760.0 2473 0.945 : 456170761.0 2821 0.966 : 456170762.0 2479 0.924 : 456170763.0 2656 0.956 : 456170764.0 2635 0.976 : 456170765.0 2478 0.921 : 456170766.0 2444 0.990 : 456170767.0 2508 1.000 : 456170768.0 2360 1.000 : 456170769.0 2606 0.979 : 456170770.0 2476 1.000 : 456170771.0 2703 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0.981 : 456170881.0 2551 0.998 : 456170882.0 2571 0.988 : 456170883.0 2520 0.975 : 456170884.0 2029 1.000 : 456170886.0 2590 0.918 : 456170887.0 3365 0.974 : 456170888.0 2327 0.909 : 456170889.0 2276 0.902 : 456170890.0 2448 1.000 : 456170891.0 2132 0.955 : 456170892.0 2586 0.964 : 456170893.0 2032 0.894 : 456170894.0 2901 0.951 : 456170899.0 2123 0.867 : 456170900.0 2688 0.898 : 456170904.0 3046 0.932 : 456170905.0 2468 0.994 : 456170906.0 2795 0.955 : 456170907.0 2516 0.990 : 456170908.0 2604 0.945 : 456170909.0 2637 0.985 : 456170910.0 2548 0.931 : 456170911.0 2208 0.910 : 456170914.0 2189 0.884 : 456170916.0 3309 0.914 : 456170917.0 2656 0.945 : 456170924.0 3154 0.938 : 456170928.0 2744 0.880 : 456170929.0 2307 0.989 : 456170930.0 2478 0.956 : 456170931.0 2584 1.000 : 456170933.0 4106 0.975 : 456170934.0 2494 0.987 : 456170935.0 2165 0.907 : 456170936.0 2598 0.958 : 456170937.0 2380 1.000 : 456170939.0 2528 0.902 : 456170940.0 2974 0.987 : 456170941.0 2439 0.936 : 456170942.0 2468 1.000 : 456170943.0 2360 0.993 : 456170944.0 2686 0.974 : 456170945.0 2275 0.985 : 456170949.0 3478 0.924 : 456170951.0 2770 0.916 : 456170952.0 2618 0.958 : 456170955.0 3423 0.928 : 456170957.0 2686 0.953 : 456170959.0 3849 0.979 : 456170960.0 2214 1.000 : 456170961.0 2600 0.984 : 456170962.0 2474 0.981 : 456170963.0 2573 0.994 : 456170966.0 3564 0.919 : 456170967.0 2663 0.964 : 456170968.0 2152 0.938 : 456170969.0 2688 0.944 : 456170970.0 2221 0.999 : 456170971.0 2560 0.991 : 456170974.0 2837 0.894 : 456170977.0 2021 0.855 : 456170981.0 2476 0.888 : 456170983.0 3710 0.970 : 456170984.0 2526 1.000 : 456170985.0 2437 1.000 : 456170986.0 2545 0.999 : 456170987.0 2258 0.993 : 456170989.0 4014 0.933 : 456170990.0 2648 0.991 : 456170991.0 2235 1.000 : 456170992.0 2041 1.000 : 456170993.0 2219 1.000 : 456170994.0 2307 1.000 : 456170997.0 3771 0.972 : 456170998.0 2188 0.907 : 456170999.0 2675 0.929 : 456171000.0 2442 0.910 : 456171003.0 4570 0.988 : 456171005.0 3256 0.939 : 456171006.0 2500 1.000 : 456171007.0 2358 0.990 : 456171009.0 3371 0.962 : 456171010.0 2761 0.956 : 456171011.0 2620 0.996 : 456171012.0 2029 0.984 : 456171013.0 2666 0.980 : 456171014.0 2561 1.000 : 456171015.0 2315 1.000 : 456171016.0 2014 1.000 : 456171017.0 2569 0.963 : 456171018.0 2525 1.000 : 456171019.0 2471 1.000 : 456171020.0 2497 0.988 : 456171021.0 2632 0.989 : 456171022.0 2609 0.947 : 456171023.0 2726 0.981 : 456171024.0 2615 0.948 : 456171025.0 2601 0.999 : 456171026.0 2545 0.969 : 456171027.0 2644 1.000 : 456171028.0 2596 0.997 : 456171029.0 2736 0.975 : 456171031.0 3533 0.965 : 456171032.0 2717 0.999 : 456171034.0 2182 0.879 : 456171035.0 3761 0.993 : 456171036.0 2676 0.980 : 456171037.0 2682 0.938 : 456171038.0 2336 0.926 : 456171039.0 2420 0.968 : 456171041.0 3060 0.907 : 456171042.0 3134 0.991 : 456171043.0 2708 0.961 : 456171044.0 2575 0.976 : 456171045.0 2441 1.000 : 456171046.0 2402 1.000 : 456171048.0 2654 0.947 : 456171049.0 2641 0.971 : 456171050.0 2692 0.977 : 456171051.0 2497 1.000 : 456171052.0 2654 0.992 : 456171053.0 2766 0.965 : 456171054.0 2635 0.974 : 456171056.0 3120 0.933 : 456171057.0 2609 0.937 : 456171058.0 2468 1.000 : 456171059.0 2752 0.976 : 456171060.0 2663 0.981 : 456171061.0 2564 0.956 : 456171063.0 3325 0.940 : 456171064.0 2707 0.986 : 456171065.0 2613 1.000 : 456171066.0 2322 0.986 : 456171067.0 2389 1.000 : 456171068.0 2422 0.936 : 456171069.0 2638 0.960 : 456171070.0 2672 0.994 : 456171071.0 2434 0.996 : 456171072.0 2296 0.990 : 456171073.0 2434 0.977 : 456171074.0 2304 0.948 : 456171075.0 2636 0.993 : 456171076.0 2305 1.000 : 456171077.0 2232 0.997 : 456171078.0 2098 1.000 : 456171079.0 2574 0.968 : 456171080.0 2735 1.000 : 456171081.0 2714 0.990 : 456171082.0 2767 0.991 : 456171083.0 2510 0.990 : 456171084.0 2492 0.964 : 456171085.0 2570 0.988 : 456171086.0 2382 1.000 : 456171087.0 2808 0.961 : 456171088.0 2418 0.905 : 456171089.0 2807 0.964 : 456171090.0 2783 0.992 : 456171091.0 2555 0.972 : 456171092.0 2207 0.921 : 456171093.0 3215 0.954 : 456171094.0 2767 0.971 : 456171095.0 2600 0.995 : 456171096.0 2108 0.923 : 456171097.0 2733 0.960 : 456171098.0 2845 0.979 : 456171099.0 2829 0.983 : 456171100.0 2680 0.967 : 456171101.0 2613 0.969 : 456171107.0 2908 0.916 : 456171109.0 3335 0.925 : 456171110.0 2605 0.993 : 456171111.0 2392 0.933 : 456171112.0 2652 0.939 : 456171113.0 2594 0.934 : 456171114.0 2333 0.976 : 456171115.0 2675 0.964 : 456171116.0 2637 0.986 : 456171117.0 2450 0.978 : 456171118.0 2468 0.998 : 456171120.0 3461 0.954 : 456171121.0 2633 0.977 : 456171122.0 2553 0.995 : 456171123.0 2262 1.000 : 456171124.0 2616 0.999 : 456171127.0 2564 0.902 : 456171128.0 2855 0.911 : 456171129.0 2797 0.963 : 456171130.0 2545 1.000 : 456171131.0 2603 0.960 : 456171132.0 2607 0.987 : 456171133.0 2461 0.950 : 456171134.0 2716 0.954 : 456171135.0 2759 0.978 : 456171136.0 2699 0.984 : 456171138.0 3492 0.928 : 456171139.0 2596 0.951 : 456171140.0 2614 0.980 : 456171141.0 2715 0.954 : 456171142.0 2713 0.964 : 456171145.0 3786 0.948 : 456171146.0 2506 0.939 : 456171148.0 3505 0.994 : 456171149.0 2848 0.991 : 456171150.0 2710 0.988 : 456171151.0 2600 0.967 : 456171152.0 2706 0.996 : 456171153.0 2143 0.912 : 456171154.0 2766 0.988 : 456171155.0 2828 0.971 : 456171163.0 3832 0.969 : 456171165.0 2095 0.857 : 456171166.0 3045 0.926 : 456171167.0 2840 1.000 : 456171168.0 2557 0.969 : 456171169.0 2462 0.961 : 456171170.0 2801 0.985 : 456171171.0 2048 0.906 : 456171172.0 3173 0.961 : 456171177.0 2325 0.885 : 456171179.0 2339 0.883 : 456171187.0 2064 0.835 : 456171189.0 4050 0.960 : 456171190.0 2145 0.917 : 456171191.0 3017 0.952 : 456171192.0 2383 0.925 : 456171195.0 2831 0.911 : 456171196.0 2734 0.986 : 456171200.0 3288 0.919 : 456171203.0 3530 0.923 : 456171204.0 2820 0.956 : 456171206.0 3293 0.934 : 456171208.0 3247 0.929 : 456171212.0 2360 0.877 : 456171213.0 3309 0.956 : 456171214.0 2753 0.977 : 456171216.0 3880 0.950 : 456171217.0 2567 0.977 : 456171218.0 2893 0.990 : 456171219.0 2693 1.000 : 456171220.0 2523 0.995 : 456171221.0 2557 0.962 : 456171223.0 3589 0.925 : 456171224.0 2807 0.987 : 456171225.0 2718 0.951 : 456171226.0 2713 0.949 : 456171228.0 3868 0.936 : 456171230.0 2743 0.925 : 456171232.0 3419 0.955 : 456171235.0 2798 0.879 : 456171236.0 3143 0.984 : 456171246.0 3426 0.920 : 456171247.0 2420 0.975 : 456171257.0 2448 0.879 : 456171258.0 2640 0.945 : 456171262.0 2172 0.876 : 456171263.0 2206 0.853 : 456171267.0 2806 0.918 : 456171269.0 2596 0.888 : 456171274.0 3130 0.913 : 456171283.0 4304 0.960 : 456171285.0 3271 0.909 : 456171287.0 3998 0.953 : 456171307.0 2149 0.866 : 456171315.0 3047 0.933 : 456171331.0 3529 0.945 : 456171342.0 2409 0.878 : 456171344.0 3233 0.912 : 456171345.0 2008 0.899 : 456171351.0 2757 0.921 : 456171352.0 2768 0.962 : 456171353.0 2116 0.922 : 456171354.0 3389 0.957 : 456171359.0 3530 0.928 : 456171361.0 2975 0.911 : 456171362.0 3100 0.933 : 456171363.0 2740 0.948 : 456171365.0 3300 0.919 : 456171371.0 3477 0.924 : 456171372.0 2720 0.989 : 456171375.0 2546 0.884 : 456171376.0 3026 0.924 : 456171378.0 3335 0.945 : 456171418.0 2886 0.934 : 456171591.0 2978 0.920 : 456171807.0 2317 0.882 : 456171848.0 2134 0.853 : 456171850.0 2764 0.911 : 456171855.0 2731 0.904 : 456171863.0 2924 0.917 : 456171864.0 2296 0.899 : 456171865.0 2517 0.913 : 456171866.0 2820 0.923 : 456171867.0 3322 0.935 : 456171962.0 2553 0.885 : 456171965.0 2019 0.853 : 456171966.0 2819 0.889 : 456171967.0 2653 0.910 : 456172151.0 3128 0.926 : 456172159.0 2340 0.889 : 456172166.0 3213 0.940 : 456172170.0 2335 0.901 : 456172172.0 2575 0.903 : 456172176.0 2127 0.881 : 456172180.0 2743 0.904 : 456172185.0 2068 0.857 : 456172199.0 3397 0.935 : 456172225.0 2706 0.911 : 456172268.0 3404 0.920 : 456172276.0 2077 0.882 : 456172277.0 2638 0.893 : 456172278.0 2877 0.909 : 456172285.0 2611 0.917 : 456172287.0 2115 0.897 : 456172290.0 2193 0.882 : 456172291.0 2532 0.897 : 456172486.0 3516 0.931 : 456173437.0 3661 0.915 : 456173439.0 2271 0.858 : 456173440.0 2570 0.935 : 456173975.0 2294 0.820 : 456174058.0 2494 0.869 : 456174060.0 2204 0.848 : 456174061.0 2160 0.838 : 456174062.0 2265 0.821 : 456174735.0 2246 0.855 : 456175274.0 2304 0.782 : 456175355.0 2562 0.861 : 456175357.0 2162 0.869 : 456175361.0 2073 0.816 : 456175374.0 2070 0.777 : 456175589.0 2777 0.864 : 456175590.0 2398 0.912 : 456175602.0 3619 0.940 : 456175617.0 3215 0.918 : 456175618.0 2767 0.945 : 456175630.0 2570 0.854 : 456175804.0 2193 0.848 : 456175926.0 2561 0.874 : 456175927.0 2327 0.893 : 456175929.0 2315 0.822 : 456175930.0 2185 0.884 : 456175931.0 2593 0.860 : 456175933.0 2938 0.894 : 456175934.0 2441 0.926 : 456175937.0 2041 0.833 : 456175938.0 2884 0.905 : 456175939.0 2551 0.928 : 456175940.0 2325 0.914 : 456175942.0 2326 0.889 : 456175945.0 2421 0.857 : 456175948.0 2444 0.878 : 456176157.0 2324 0.843 : 456176597.0 2253 0.852 : 456176602.0 2080 0.851 : 456176626.0 3116 0.891 : 456176641.0 2049 0.854 : 456177001.0 2087 0.846 : 456177005.0 2131 0.873 : 456177112.0 2183 0.865 : 456177113.0 2162 0.864 : 456177114.0 2069 0.900 : 456177143.0 2396 0.866 : 456177144.0 2889 0.925 : 456177151.0 2471 0.864 : 456177152.0 2563 0.915 : 456177198.0 2888 0.904 : 456177259.0 2771 0.901 : 456177507.0 2282 0.859 : 456177512.0 2145 0.884 : 456177513.0 2082 0.877 : 456177514.0 2285 0.900 : 456177515.0 2578 0.926 : 456177516.0 2306 0.897 : 456177517.0 2703 0.895 : 456177518.0 2155 0.892 : 456177519.0 3379 0.935 : 456177520.0 2797 0.971 : 456177532.0 3929 0.933 : 456177539.0 2068 0.866 : 456177540.0 2486 0.890 : 456177558.0 2821 0.916 : 456177559.0 2341 0.915 : 456177595.0 3022 0.902 : 456177614.0 2428 0.863 : 456177615.0 2252 0.928 : 456178093.0 3597 0.926 : 456178095.0 3409 0.938 : 456178098.0 2179 0.983 : 456178099.0 2183 1.000 : 456178101.0 3341 0.958 : 456178102.0 2823 1.000 : 456178103.0 2404 0.960 : 456178112.0 2775 0.905 : 456178648.0 2275 0.879 : 456179783.0 2923 0.907 : 456180212.0 2860 0.892 : 456180297.0 2882 0.914 : 456180299.0 2383 0.824 : 456180300.0 2756 0.991 : 456180517.0 2377 0.849 : 456180658.0 2693 0.872 : 456180678.0 2167 0.831 : 456180679.0 2051 0.868 : 456180680.0 2020 0.886 : 456180681.0 3263 0.926 : 456180756.0 2362 0.859 : 456180758.0 2540 0.867 : 456180788.0 2540 0.885 : 456180911.0 2781 0.882 : 456181563.0 2403 0.956 : 456181564.0 2205 0.899 : 456181567.0 2334 0.849 : 456181568.0 2064 0.859 : 456181570.0 2158 0.867 : 456181571.0 2437 0.913 : 456181572.0 2225 0.916 : 456181573.0 2381 0.928 : 456181574.0 2125 0.914 : 456181576.0 2220 0.849 : 456181580.0 2816 0.820 : 456181581.0 2013 0.823 : 456181582.0 2017 0.892 : 456181583.0 2388 0.927 : 456181584.0 2431 0.917 : 456181585.0 2277 0.972 : 456181586.0 2502 0.988 : 456181588.0 2178 0.876 : 456181590.0 2353 0.776 : 456181610.0 2206 0.786 : 456181617.0 2443 0.806 : 456181620.0 2660 0.818 : 456181622.0 3129 0.874 : 456181623.0 2354 0.910 : 456181624.0 2383 0.919 : 456181626.0 2778 0.877 : 456181676.0 2553 0.878 : 456181678.0 2402 0.846 : 456181680.0 3072 0.878 : 456181686.0 2392 0.847 : 456181688.0 2643 0.918 : 456181692.0 2414 0.855 : 456181695.0 2452 0.793 : 456181696.0 2008 0.828 : 456181713.0 2300 0.822 : 456181722.0 2035 0.843 : 456181730.0 2122 0.827 : 456181760.0 2151 0.813 : 456181762.0 3303 0.891 : 456182127.0 2379 0.868 : 456182128.0 2253 0.905 : 456182129.0 2230 0.874 : 456182130.0 2221 0.882 : 456182261.0 2210 0.834 : 456182472.0 2167 0.868 : 456182565.0 2012 0.850 : 456182831.0 2271 0.878 : 456182964.0 2253 0.839 : 456183074.0 2089 0.826 : 456183089.0 2208 0.885 : 456183090.0 2540 0.870 : 456183103.0 3364 0.949 : 456183104.0 3006 0.991 : 456183122.0 2926 0.886 : 456183123.0 2250 1.000 Total number of 1 second bins: 13584 Bins with >0 counts : 12566 Bins with >2000 counts : 989 989 of 989 high count rate bins were dominated by noise Noise dominated 7.28% of total time, 7.87% of detector on time (defined as non-zero counts)