Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 456164995.0 2077 0.792 Total number of 1 second bins: 7870 Bins with >0 counts : 7870 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.01% of total time, 0.01% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 456164206.0 2002 0.833 : 456166324.0 2217 0.867 : 456166325.0 2167 0.870 : 456166329.0 3049 0.901 : 456166331.0 3231 0.966 : 456166341.0 2219 0.871 : 456166450.0 2421 0.872 : 456166561.0 2971 0.898 : 456166563.0 2553 0.907 : 456166747.0 2211 0.924 : 456166748.0 2467 0.991 : 456166749.0 2500 0.922 : 456166750.0 2462 0.986 : 456166751.0 2431 0.991 : 456166752.0 2579 0.995 : 456166753.0 2404 0.995 : 456166754.0 2656 0.991 : 456166755.0 2407 0.976 : 456166756.0 2494 0.985 : 456166757.0 2505 0.987 : 456166758.0 2405 0.966 : 456166759.0 2347 0.944 : 456166760.0 2531 0.930 : 456166761.0 2543 0.947 : 456166762.0 2615 0.946 : 456166763.0 2280 0.928 : 456166764.0 2446 0.924 : 456166765.0 2504 0.923 : 456166766.0 2630 0.921 : 456166767.0 2358 0.930 : 456166768.0 2353 0.926 : 456166769.0 2388 0.914 : 456166770.0 2926 0.938 : 456166771.0 2823 0.954 : 456166772.0 2534 0.982 : 456166773.0 2704 0.990 : 456166774.0 2765 0.995 : 456166775.0 2733 0.984 : 456166776.0 2697 0.971 : 456166777.0 2476 0.960 : 456166778.0 2633 0.982 : 456166779.0 2595 0.950 : 456166780.0 2720 0.961 : 456166781.0 2595 0.943 : 456166782.0 2636 0.961 : 456166783.0 2700 0.976 : 456166784.0 2310 1.000 : 456166785.0 2694 0.994 : 456166786.0 2599 1.000 : 456166787.0 2167 1.000 : 456166790.0 2696 0.899 : 456166791.0 2253 0.940 : 456166792.0 2414 1.000 : 456166793.0 2584 0.998 : 456166794.0 2563 0.998 : 456166795.0 2758 0.996 : 456166796.0 2658 0.995 : 456167313.0 2349 0.868 : 456167322.0 2696 0.897 : 456167327.0 2621 0.879 Total number of 1 second bins: 7871 Bins with >0 counts : 7871 Bins with >2000 counts : 60 60 of 60 high count rate bins were dominated by noise Noise dominated 0.76% of total time, 0.76% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 456163105.0 2968 0.896 : 456163108.0 2706 0.887 : 456163110.0 2489 0.878 : 456163111.0 2359 0.951 : 456163160.0 2159 0.834 : 456163264.0 2798 0.871 : 456163267.0 2949 0.904 : 456163268.0 2470 0.924 : 456163269.0 2496 0.936 : 456163270.0 2597 0.940 : 456163271.0 2495 0.913 : 456163272.0 2365 0.925 : 456163275.0 2237 0.873 : 456163277.0 2558 0.874 : 456163283.0 2514 0.876 : 456163290.0 2065 0.829 : 456163291.0 2074 0.857 : 456163292.0 2277 0.862 : 456163294.0 3195 0.902 : 456163297.0 3155 0.906 : 456163298.0 2484 0.950 : 456163299.0 2835 1.000 : 456163300.0 2509 0.922 : 456163320.0 2301 0.857 : 456163323.0 2028 0.813 : 456163324.0 3452 0.933 : 456163325.0 2605 0.943 : 456163326.0 2562 0.956 : 456163327.0 2636 0.962 : 456163328.0 2794 0.963 : 456163329.0 2660 0.940 : 456163332.0 2247 0.851 : 456163338.0 3359 0.899 : 456163339.0 2032 0.875 : 456163340.0 2696 0.901 : 456163341.0 2651 0.941 : 456163342.0 2329 0.899 : 456163345.0 3583 0.938 : 456163358.0 2273 0.844 : 456163359.0 2252 0.871 : 456163360.0 3200 0.907 : 456163363.0 2038 0.854 : 456163364.0 2775 0.890 : 456163385.0 2149 0.837 : 456163386.0 2045 0.856 : 456163427.0 2027 0.862 : 456163430.0 2470 0.866 : 456164784.0 2843 0.878 : 456164785.0 2247 0.891 : 456164787.0 2212 0.881 : 456164829.0 3239 0.913 : 456164832.0 2171 0.850 : 456164834.0 3095 0.890 : 456164836.0 2690 0.890 : 456165098.0 2242 0.833 : 456165101.0 2652 0.914 : 456165350.0 2742 0.892 : 456165695.0 4405 0.930 : 456165873.0 2802 0.906 : 456165924.0 2275 0.871 : 456165939.0 2316 0.865 : 456165940.0 2384 0.880 : 456165941.0 3356 0.939 : 456165946.0 2170 0.866 : 456165951.0 2518 0.891 : 456165952.0 3013 0.940 : 456165953.0 2850 0.943 : 456165954.0 2612 0.937 : 456165955.0 2864 0.957 : 456165956.0 2600 0.942 : 456165991.0 2840 0.894 : 456165993.0 2252 0.860 : 456165994.0 2070 0.871 : 456167179.0 2179 0.877 Total number of 1 second bins: 7871 Bins with >0 counts : 7871 Bins with >2000 counts : 74 74 of 74 high count rate bins were dominated by noise Noise dominated 0.94% of total time, 0.94% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 456163188.0 3394 0.897 : 456163600.0 3053 0.876 : 456163601.0 2146 0.888 : 456163602.0 2329 0.894 : 456163620.0 3839 0.973 : 456163731.0 3035 0.898 : 456163738.0 2869 0.870 : 456163743.0 2310 0.848 : 456163744.0 2255 0.903 : 456163745.0 2811 0.891 : 456163787.0 3089 0.889 : 456163789.0 2979 0.874 : 456163834.0 3094 0.904 : 456163835.0 2417 0.961 : 456163839.0 2694 0.865 : 456163842.0 2825 0.896 : 456163843.0 2687 0.965 : 456163847.0 2278 0.892 : 456163848.0 2920 0.935 : 456163850.0 2883 0.932 : 456163852.0 3245 0.974 : 456163853.0 2615 0.964 : 456163855.0 2451 0.916 : 456163858.0 2651 0.860 : 456163859.0 2571 0.945 : 456163861.0 2593 0.890 : 456163862.0 2793 0.891 : 456163866.0 2467 0.840 : 456163867.0 3181 0.975 : 456163868.0 2695 0.985 : 456163869.0 2540 0.981 : 456163870.0 2451 0.973 : 456163871.0 2670 0.966 : 456163872.0 2675 0.966 : 456163873.0 2785 0.979 : 456163874.0 2560 0.947 : 456163875.0 2340 0.938 : 456163876.0 2781 0.995 : 456163877.0 2464 0.975 : 456163878.0 2452 0.977 : 456163879.0 2558 0.973 : 456163880.0 2783 0.975 : 456163881.0 2535 0.968 : 456163882.0 2703 0.993 : 456163883.0 2009 1.000 : 456163884.0 2337 1.000 : 456163885.0 2147 0.973 : 456163886.0 2763 0.965 : 456163888.0 2571 0.968 : 456163889.0 2453 0.947 : 456163890.0 2137 1.000 : 456163891.0 2499 0.983 : 456163892.0 2648 0.971 : 456163893.0 2541 0.985 : 456163894.0 2835 0.984 : 456163895.0 2755 0.967 : 456163897.0 2573 0.978 : 456163898.0 2642 0.986 : 456163899.0 2574 0.959 : 456163900.0 2601 0.995 : 456163901.0 2460 0.996 : 456163902.0 2752 0.977 : 456163903.0 2696 0.984 : 456163904.0 2519 0.963 : 456163905.0 2486 0.950 : 456163907.0 2836 0.942 : 456163908.0 2432 0.931 : 456163909.0 2580 0.959 : 456163910.0 2605 0.931 : 456163911.0 2445 0.948 : 456163912.0 2499 0.947 : 456163913.0 2649 0.955 : 456163914.0 2654 0.950 : 456163915.0 2644 0.950 : 456163916.0 2575 0.965 : 456163917.0 2670 0.978 : 456163918.0 2124 0.985 : 456163919.0 2552 0.942 : 456163920.0 2658 0.940 : 456163921.0 2079 0.885 : 456163922.0 2500 0.918 : 456163924.0 2611 0.891 : 456163925.0 2871 0.907 : 456163927.0 3483 0.918 : 456163930.0 3588 0.910 : 456163931.0 2172 0.932 : 456163932.0 2295 0.907 : 456163937.0 2064 0.807 : 456163938.0 3239 0.957 : 456163939.0 2546 0.952 : 456163940.0 2729 0.971 : 456163942.0 2455 0.912 : 456163944.0 2316 0.868 : 456163945.0 3128 0.919 : 456163946.0 2697 0.914 : 456163947.0 2439 0.955 : 456163948.0 2494 0.961 : 456163949.0 2745 0.967 : 456163950.0 2533 0.910 : 456163951.0 2298 0.965 : 456163953.0 2384 0.972 : 456163954.0 2331 0.912 : 456163955.0 2360 0.917 : 456163956.0 2567 0.912 : 456163958.0 3061 0.910 : 456163959.0 2759 0.976 : 456163960.0 2667 0.973 : 456163961.0 2301 0.907 : 456163962.0 2365 0.883 : 456163964.0 2313 0.834 : 456163966.0 3488 0.908 : 456163969.0 2297 0.851 : 456163970.0 3185 0.921 : 456163972.0 3015 0.920 : 456163973.0 2159 0.908 : 456163974.0 2894 0.928 : 456163975.0 2157 0.917 : 456163976.0 2889 0.937 : 456163980.0 2504 0.889 : 456163982.0 2014 0.841 : 456163987.0 2053 0.844 : 456163988.0 2267 0.870 : 456163989.0 2911 0.898 : 456163990.0 2448 0.902 : 456163991.0 2468 0.899 : 456163992.0 2222 0.895 : 456163993.0 2742 0.944 : 456163995.0 2450 0.890 : 456163996.0 2301 0.875 : 456163997.0 2604 0.914 : 456163998.0 2730 0.932 : 456164000.0 2786 0.896 : 456164001.0 2776 0.977 : 456164003.0 2410 0.880 : 456164004.0 3311 0.918 : 456164006.0 3213 0.897 : 456164007.0 2589 0.932 : 456164008.0 2214 0.903 : 456164025.0 2460 0.876 : 456164028.0 2721 0.870 : 456164029.0 2223 0.889 : 456164030.0 2085 0.842 : 456164072.0 2654 0.847 : 456164084.0 2293 0.879 : 456164085.0 2833 0.979 : 456164086.0 2514 0.966 : 456164087.0 2329 0.906 : 456164145.0 2081 0.832 : 456164154.0 2332 0.855 : 456164163.0 2645 0.898 : 456164184.0 2551 0.860 : 456164207.0 2223 0.869 : 456164209.0 2133 0.851 : 456164210.0 2832 0.862 : 456164214.0 2017 0.826 : 456164240.0 2234 0.829 : 456164259.0 2150 0.864 : 456164261.0 2475 0.871 : 456164265.0 2237 0.828 : 456164288.0 2139 0.832 : 456164293.0 2137 0.854 : 456164295.0 2400 0.851 : 456164296.0 2197 0.876 : 456164302.0 2500 0.860 : 456164306.0 3266 0.893 : 456164308.0 2505 0.886 : 456164309.0 3278 0.923 : 456164310.0 2690 0.944 : 456164311.0 2383 0.907 : 456164313.0 2261 0.847 : 456164317.0 3393 0.985 : 456164320.0 4321 0.971 : 456164322.0 2444 0.871 : 456164326.0 2426 0.879 : 456164403.0 2828 0.879 : 456164648.0 3238 0.894 : 456164649.0 2380 0.981 : 456165033.0 2059 0.842 : 456165099.0 2461 0.933 : 456165134.0 4701 0.960 : 456165264.0 2003 0.873 : 456165285.0 2660 0.883 : 456165286.0 2564 0.949 : 456165393.0 2108 0.831 : 456165690.0 2243 0.882 : 456165703.0 2941 0.897 : 456165704.0 2089 0.879 : 456165880.0 2555 0.888 : 456165886.0 4038 0.944 : 456165887.0 2733 0.953 : 456165896.0 2051 0.876 : 456165960.0 2171 0.870 : 456166081.0 2175 0.891 : 456166099.0 2065 0.868 : 456166129.0 3292 0.930 : 456166130.0 2158 0.891 : 456166131.0 2537 0.890 : 456166269.0 2017 0.845 : 456166277.0 2130 0.851 : 456166278.0 2161 0.887 : 456166279.0 2361 0.907 : 456166283.0 2116 0.884 : 456166290.0 2035 0.867 : 456166343.0 2026 0.852 : 456166399.0 3332 0.914 : 456166401.0 2765 0.923 : 456166525.0 2028 0.875 : 456166526.0 2198 0.882 : 456166527.0 3217 0.941 : 456166528.0 2632 0.971 : 456166529.0 2806 0.973 : 456166531.0 2169 0.906 : 456166532.0 3138 0.923 : 456166533.0 2418 0.931 : 456166534.0 2259 0.909 : 456166540.0 3170 0.912 : 456166756.0 2409 0.896 : 456166760.0 3365 0.927 : 456166780.0 2405 0.885 : 456166821.0 3270 0.935 : 456166825.0 2771 0.882 : 456166826.0 2502 0.908 : 456166827.0 2093 0.976 : 456166829.0 2286 0.987 : 456166831.0 2888 0.967 : 456166832.0 2337 0.960 : 456166833.0 2524 0.956 : 456166834.0 2329 0.980 : 456166837.0 2532 0.869 : 456166839.0 2718 0.903 : 456166840.0 2111 0.892 : 456166842.0 2550 0.891 : 456166844.0 2501 0.908 : 456166848.0 2108 0.994 : 456166849.0 2649 0.968 : 456166852.0 2035 0.849 : 456166853.0 2641 0.962 : 456166864.0 3191 0.911 : 456166865.0 2251 0.917 : 456166866.0 2552 0.891 : 456166878.0 2103 0.875 : 456166883.0 3789 0.952 : 456166884.0 2087 0.920 : 456166891.0 2144 0.837 : 456166892.0 2849 0.915 : 456166894.0 2173 0.921 : 456166913.0 2782 0.916 : 456166914.0 2269 0.921 : 456167844.0 2765 0.865 : 456167865.0 2860 0.879 : 456167868.0 2561 0.853 : 456167879.0 2211 0.832 : 456167880.0 2253 0.838 : 456167882.0 2316 0.826 : 456167883.0 2891 0.925 : 456167884.0 2875 0.979 : 456167908.0 2197 0.825 : 456167928.0 2684 0.893 : 456167929.0 3563 0.937 : 456167931.0 2785 0.898 : 456167938.0 2802 0.878 : 456167939.0 2429 0.963 : 456167940.0 2039 0.917 : 456167941.0 2606 0.972 : 456167942.0 2370 0.919 : 456167943.0 2168 0.981 : 456167944.0 2456 0.998 : 456167946.0 3996 0.941 : 456167949.0 3027 0.863 : 456167950.0 2889 0.937 : 456167951.0 2317 0.927 : 456167956.0 3539 0.941 : 456167957.0 2764 0.987 : 456167958.0 2693 0.965 : 456167959.0 2841 0.997 : 456167978.0 2923 0.877 : 456167980.0 3233 0.923 : 456167981.0 2793 0.937 : 456167983.0 3583 0.924 : 456168012.0 3029 0.893 : 456168013.0 3428 0.944 : 456168016.0 3548 0.932 : 456168017.0 2439 0.919 : 456168019.0 4026 0.968 : 456168020.0 2518 0.897 : 456168170.0 3430 0.942 : 456168172.0 2847 0.931 : 456168173.0 2571 0.925 : 456168174.0 2600 0.951 : 456168175.0 2532 0.907 : 456168180.0 2014 0.841 : 456168181.0 3017 0.917 : 456168184.0 2510 0.867 : 456168187.0 2606 0.878 : 456168189.0 2033 0.831 : 456168191.0 3589 0.939 : 456168193.0 2924 0.874 : 456168201.0 2881 0.885 : 456168214.0 3156 0.926 : 456168215.0 2684 0.957 : 456168217.0 2190 0.888 : 456168219.0 2690 0.866 : 456168220.0 3115 0.925 : 456168221.0 2716 0.951 : 456168224.0 2765 0.887 : 456168232.0 3417 0.949 : 456168233.0 2803 0.995 : 456168239.0 2346 0.854 : 456168240.0 2479 0.867 : 456168241.0 3114 0.949 : 456168242.0 2514 0.934 : 456168243.0 2579 0.923 : 456168245.0 2632 0.924 : 456168246.0 2025 0.913 : 456168251.0 3510 0.921 : 456168252.0 2580 0.966 : 456168253.0 2419 0.931 : 456168254.0 2207 0.908 : 456168256.0 2076 0.831 : 456168257.0 3351 0.943 : 456168259.0 3481 0.933 : 456168265.0 3164 0.919 : 456168266.0 2589 0.890 : 456168267.0 2161 0.851 : 456168282.0 2628 0.873 : 456168292.0 2463 0.867 : 456168548.0 2233 0.831 : 456168675.0 2199 0.964 : 456168679.0 2470 0.896 : 456168680.0 2131 0.921 : 456168681.0 2219 0.907 : 456168685.0 2153 0.811 : 456168687.0 2749 0.906 : 456168688.0 2071 0.833 : 456168689.0 2439 0.946 : 456168692.0 2763 0.855 : 456168693.0 2078 0.856 : 456168701.0 2487 0.822 : 456168703.0 2174 0.870 : 456168723.0 2711 0.856 : 456168730.0 2452 0.962 : 456168731.0 2034 0.925 : 456168734.0 2417 0.860 : 456168735.0 2123 0.851 : 456168746.0 2096 0.811 : 456168763.0 2017 0.807 : 456168771.0 2043 0.785 : 456168855.0 2406 0.786 : 456168858.0 2052 0.767 : 456168865.0 2030 0.837 : 456168869.0 2235 0.851 : 456169054.0 2395 0.824 : 456169081.0 2175 0.822 : 456169253.0 2190 0.851 : 456169314.0 2054 0.824 : 456169321.0 2245 0.851 : 456169335.0 2126 0.848 : 456169337.0 2041 0.851 : 456169343.0 2286 0.860 : 456169344.0 2697 0.865 : 456169345.0 3056 0.946 : 456169352.0 3238 0.931 : 456169354.0 2575 0.946 : 456169355.0 2783 0.956 : 456169356.0 2076 0.887 : 456169357.0 2164 0.887 : 456169359.0 2059 0.819 : 456169365.0 2864 0.866 : 456169368.0 3304 0.916 : 456169370.0 2705 0.874 : 456169371.0 2395 0.968 : 456169372.0 2132 0.892 : 456169375.0 2027 0.835 : 456169377.0 2755 0.958 : 456169378.0 2631 0.967 : 456169379.0 2350 0.949 : 456169380.0 2462 0.940 : 456169381.0 2312 0.987 : 456169382.0 2491 0.976 : 456169383.0 2294 0.967 : 456169384.0 2394 0.954 : 456169385.0 2295 0.983 : 456169386.0 2350 0.924 : 456169387.0 2149 0.966 : 456169388.0 2662 0.976 : 456169389.0 2441 0.934 : 456169390.0 2462 0.959 : 456169391.0 2200 0.961 : 456169392.0 2554 0.981 : 456169393.0 2534 0.995 : 456169394.0 2478 0.979 : 456169395.0 2039 0.972 : 456169396.0 2341 0.986 : 456169397.0 2135 0.958 : 456169399.0 2402 0.876 : 456169400.0 2692 0.911 : 456169401.0 2371 0.963 : 456169402.0 2241 0.970 : 456169403.0 2561 0.982 : 456169404.0 2334 0.916 : 456169405.0 2564 0.945 : 456169406.0 2151 0.924 : 456169407.0 2697 0.964 : 456169408.0 2513 0.928 : 456169410.0 2941 0.944 : 456169411.0 2461 0.978 : 456169416.0 2579 0.854 : 456169417.0 2956 0.909 : 456169418.0 2464 0.948 : 456169420.0 3004 0.908 : 456169421.0 2576 0.937 : 456169422.0 2275 0.935 : 456169423.0 2539 0.967 : 456169424.0 2624 0.947 : 456169426.0 3139 0.893 : 456169427.0 2425 0.955 : 456169428.0 2323 0.963 : 456169429.0 2360 0.934 : 456169431.0 2276 0.909 : 456169432.0 2607 0.944 : 456169435.0 3299 0.957 : 456169436.0 2114 0.948 : 456169438.0 2153 0.919 : 456169440.0 2753 0.878 : 456169441.0 2427 0.971 : 456169442.0 2072 0.893 : 456169444.0 3748 0.944 : 456169445.0 2003 0.875 : 456169446.0 2714 0.931 : 456169448.0 2388 0.948 : 456169449.0 2434 0.922 : 456169451.0 2374 0.912 : 456169452.0 2333 0.924 : 456169453.0 2066 0.978 : 456169454.0 2517 0.962 : 456169455.0 2245 0.935 : 456169458.0 3187 0.903 : 456169459.0 2326 0.891 : 456169463.0 2823 0.869 : 456169466.0 2311 0.854 : 456169467.0 2448 0.940 : 456169469.0 2769 0.869 : 456169470.0 2619 0.910 : 456169471.0 2008 0.883 : 456169472.0 2368 0.927 : 456169473.0 2426 0.951 : 456169474.0 2327 0.929 : 456169475.0 2291 0.956 : 456169476.0 2596 0.936 : 456169478.0 2968 0.907 : 456169479.0 2317 0.918 : 456169480.0 2602 0.945 : 456169481.0 2699 0.969 : 456169482.0 2120 0.892 : 456169483.0 2163 0.928 : 456169485.0 3211 0.914 : 456169486.0 2133 0.956 : 456169487.0 2064 0.892 : 456169488.0 2394 0.909 : 456169489.0 2297 0.912 : 456169490.0 2435 0.947 : 456169491.0 2236 0.995 : 456169492.0 2435 0.931 : 456169493.0 2352 0.907 : 456169495.0 2027 0.857 : 456169501.0 2924 0.891 : 456169503.0 3062 0.892 : 456169504.0 2412 0.983 : 456169505.0 2029 0.903 : 456169506.0 2345 0.893 : 456169507.0 2180 0.897 : 456169509.0 2421 0.851 : 456169510.0 2464 0.941 : 456169513.0 2561 0.858 : 456169517.0 2536 0.878 : 456169523.0 2033 0.816 : 456169525.0 2271 0.841 : 456169526.0 2209 0.890 : 456169528.0 2058 0.802 : 456169531.0 2304 0.832 : 456169547.0 2693 0.916 : 456169551.0 2885 0.859 : 456169560.0 3019 0.896 : 456169562.0 3059 0.920 : 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 Total number of 1 second bins: 7870 Bins with >0 counts : 7870 Bins with >2000 counts : 845 845 of 845 high count rate bins were dominated by noise Noise dominated 10.74% of total time, 10.74% of detector on time (defined as non-zero counts)