Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 498976773.0 2545 0.893 : 498976774.0 2575 0.901 : 498976775.0 2447 0.931 : 498976776.0 2554 0.926 : 498976777.0 2763 0.938 : 498976950.0 2577 0.871 : 498976951.0 2645 0.932 : 498976952.0 2353 0.904 : 498976953.0 2854 0.926 : 498976954.0 2564 0.920 : 498976955.0 2417 0.939 : 498977571.0 2469 0.873 : 498979207.0 2403 0.910 : 498980381.0 2026 0.814 : 498980382.0 2204 0.891 : 498980383.0 2162 0.844 : 498980384.0 2197 0.879 Total number of 1 second bins: 4336 Bins with >0 counts : 4336 Bins with >2000 counts : 17 17 of 17 high count rate bins were dominated by noise Noise dominated 0.39% of total time, 0.39% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 498976673.0 2689 0.950 : 498976675.0 2260 0.908 : 498976676.0 2030 0.892 : 498976677.0 2655 0.960 : 498976678.0 2613 0.979 : 498976679.0 2615 0.963 : 498977716.0 2829 0.895 : 498977717.0 2338 0.940 : 498977718.0 2370 0.951 : 498978190.0 2344 0.901 : 498980365.0 2161 0.876 Total number of 1 second bins: 4336 Bins with >0 counts : 4336 Bins with >2000 counts : 11 11 of 11 high count rate bins were dominated by noise Noise dominated 0.25% of total time, 0.25% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 498976686.0 2250 0.885 : 498976687.0 2231 0.870 : 498976688.0 2180 0.934 : 498976690.0 2018 0.858 : 498976691.0 2163 0.870 : 498977014.0 2219 0.866 : 498977234.0 2777 0.957 : 498977235.0 2695 0.949 : 498977236.0 2865 0.945 : 498977237.0 2337 0.943 : 498978112.0 2875 0.918 : 498978120.0 2611 0.935 : 498978726.0 2130 0.893 : 498979690.0 2282 0.897 : 498980277.0 2223 0.911 : 498980609.0 2375 0.974 : 498980611.0 2145 0.947 : 498980670.0 2435 0.871 : 498980673.0 2017 0.821 Total number of 1 second bins: 4336 Bins with >0 counts : 4336 Bins with >2000 counts : 19 19 of 19 high count rate bins were dominated by noise Noise dominated 0.44% of total time, 0.44% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 498976402.0 2059 0.864 : 498976548.0 2376 0.902 : 498976549.0 2656 0.936 : 498976551.0 2178 0.887 : 498976553.0 2533 0.891 : 498976555.0 2012 0.887 : 498976556.0 2201 0.876 : 498976559.0 2147 0.862 : 498976561.0 2275 0.872 : 498976562.0 2163 0.851 : 498976564.0 2182 0.863 : 498976565.0 2201 0.875 : 498976566.0 2527 0.907 : 498976567.0 2291 0.907 : 498976568.0 2477 0.925 : 498976569.0 2245 0.859 : 498976577.0 2320 0.874 : 498976578.0 2573 0.917 : 498976579.0 2501 0.938 : 498976580.0 2487 0.925 : 498976581.0 2564 0.920 : 498976582.0 2245 0.880 : 498976583.0 2496 0.919 : 498976584.0 2668 0.935 : 498976585.0 2394 0.924 : 498976586.0 2643 0.927 : 498976589.0 2184 0.876 : 498976590.0 2091 0.849 : 498976592.0 2392 0.875 : 498976593.0 2272 0.892 : 498976594.0 2413 0.897 : 498976595.0 2114 0.890 : 498976597.0 2152 0.888 : 498976598.0 2299 0.886 : 498976599.0 2114 0.895 : 498976600.0 2288 0.896 : 498976601.0 2474 0.919 : 498976602.0 2310 0.888 : 498976603.0 2300 0.892 : 498976604.0 2204 0.895 : 498976605.0 2256 0.911 : 498976606.0 2075 0.899 : 498976609.0 2157 0.905 : 498976610.0 2046 0.898 : 498976611.0 2062 0.843 : 498976612.0 2055 0.897 : 498976613.0 2359 0.883 : 498976615.0 2103 0.845 : 498976619.0 2118 0.881 : 498976620.0 2315 0.939 : 498976621.0 2060 0.884 : 498976622.0 2166 0.928 : 498976623.0 2260 0.913 : 498976624.0 2182 0.932 : 498976625.0 2458 0.927 : 498976626.0 2162 0.918 : 498976627.0 2243 0.922 : 498976628.0 2483 0.909 : 498976629.0 2275 0.935 : 498976630.0 2280 0.901 : 498976631.0 2186 0.866 : 498976637.0 2221 0.895 : 498976642.0 2140 0.892 : 498976644.0 2256 0.905 : 498976645.0 2253 0.880 : 498976646.0 2144 0.923 : 498976647.0 2290 0.921 : 498976648.0 2551 0.934 : 498976649.0 2228 0.935 : 498976650.0 2140 0.899 : 498976652.0 2085 0.866 : 498976653.0 2229 0.922 : 498976656.0 2151 0.878 : 498976657.0 2263 0.895 : 498976676.0 2077 0.861 : 498976678.0 2055 0.879 : 498976683.0 2011 0.879 : 498976691.0 2062 0.865 : 498976693.0 2184 0.870 : 498976694.0 2260 0.897 : 498976695.0 2319 0.905 : 498976696.0 2077 0.909 : 498976698.0 2041 0.879 : 498976699.0 2038 0.869 : 498976701.0 2047 0.876 : 498976702.0 2302 0.901 : 498976704.0 2084 0.890 : 498976705.0 2124 0.912 : 498976707.0 2073 0.876 : 498976709.0 2346 0.909 : 498976710.0 2079 0.888 : 498976711.0 2174 0.903 : 498976723.0 2003 0.850 : 498976730.0 2060 0.894 : 498976733.0 2262 0.877 : 498976760.0 2248 0.912 : 498976761.0 2214 0.920 : 498976762.0 2063 0.920 : 498976770.0 2043 0.867 : 498976834.0 2284 0.900 : 498976835.0 2103 0.874 : 498976852.0 2172 0.868 : 498976855.0 2001 0.860 : 498976856.0 2497 0.900 : 498976857.0 2220 0.925 : 498976867.0 2274 0.882 : 498976868.0 2393 0.915 : 498976869.0 2328 0.919 : 498976870.0 2441 0.902 : 498976876.0 2565 0.916 : 498976877.0 2317 0.884 : 498976878.0 3374 0.950 : 498976879.0 2421 0.992 : 498976880.0 2175 0.978 : 498976881.0 2175 0.906 : 498976883.0 2464 0.908 : 498976884.0 2999 0.965 : 498976885.0 2678 0.978 : 498976886.0 2490 0.955 : 498976887.0 2447 0.974 : 498976888.0 2204 0.924 : 498976891.0 2027 0.854 : 498976892.0 2123 0.870 : 498976893.0 2219 0.889 : 498976894.0 2716 0.908 : 498976895.0 2365 0.908 : 498976896.0 2662 0.922 : 498976897.0 2493 0.946 : 498976898.0 2559 0.934 : 498976899.0 2483 0.908 : 498976900.0 2396 0.929 : 498976901.0 2189 0.894 : 498976902.0 2143 0.905 : 498976903.0 2607 0.923 : 498976906.0 2101 0.854 : 498976907.0 2594 0.914 : 498976908.0 2019 0.858 : 498976909.0 2694 0.946 : 498976910.0 2422 0.926 : 498976911.0 2623 0.929 : 498976912.0 2488 0.939 : 498976913.0 2476 0.920 : 498976914.0 2664 0.875 : 498976915.0 2609 0.922 : 498976916.0 2553 0.957 : 498976917.0 2691 0.917 : 498976918.0 2388 0.880 : 498976919.0 2146 0.928 : 498976939.0 2441 0.898 : 498976952.0 2526 0.891 : 498976969.0 2520 0.925 : 498976980.0 2405 0.931 : 498976983.0 2846 0.924 : 498976985.0 2338 0.890 : 498976986.0 2673 0.941 : 498976987.0 2100 0.929 : 498976988.0 2107 0.882 : 498976989.0 2128 0.855 : 498976990.0 2591 0.928 : 498976991.0 2167 0.859 : 498976992.0 2240 0.861 : 498976993.0 2971 0.951 : 498976994.0 2403 0.949 : 498976995.0 2159 0.926 : 498976999.0 2026 0.864 : 498977001.0 2078 0.860 : 498977002.0 2374 0.901 : 498977003.0 2380 0.870 : 498977060.0 2652 0.915 : 498977061.0 2213 0.910 : 498977062.0 2360 0.920 : 498977063.0 2579 0.914 : 498977065.0 2376 0.906 : 498977071.0 2627 0.919 : 498977072.0 2692 0.919 : 498977073.0 2654 0.934 : 498977074.0 2433 0.940 : 498977075.0 2520 0.942 : 498977076.0 2753 0.915 : 498977077.0 2386 0.933 : 498977078.0 2545 0.933 : 498977079.0 2552 0.967 : 498977080.0 2591 0.934 : 498977081.0 2498 0.939 : 498977082.0 2570 0.916 : 498977083.0 2388 0.912 : 498977084.0 2261 0.877 : 498977089.0 2215 0.874 : 498977090.0 2136 0.867 : 498977091.0 2281 0.865 : 498977092.0 2323 0.900 : 498977093.0 2414 0.898 : 498977094.0 2067 0.864 : 498977095.0 2355 0.888 : 498977096.0 2202 0.877 : 498977106.0 2246 0.867 : 498977107.0 2198 0.919 : 498977109.0 2345 0.899 : 498977110.0 2751 0.922 : 498977111.0 2767 0.961 : 498977112.0 2214 0.872 : 498977115.0 2364 0.886 : 498977117.0 2455 0.893 : 498977118.0 2567 0.952 : 498977120.0 2073 0.894 : 498977129.0 2108 0.877 : 498977133.0 2489 0.925 : 498977134.0 2516 0.938 : 498977135.0 2147 0.854 : 498977170.0 2221 0.860 : 498977171.0 2628 0.901 : 498977172.0 2184 0.887 : 498977173.0 2162 0.879 : 498977174.0 2084 0.871 : 498977175.0 2420 0.886 : 498977176.0 2480 0.916 : 498977177.0 2176 0.881 : 498977178.0 2484 0.899 : 498977184.0 2134 0.858 : 498977191.0 2042 0.877 : 498977192.0 2500 0.903 : 498977200.0 3069 0.953 : 498977201.0 2656 0.968 : 498977202.0 2544 0.955 : 498977203.0 2795 0.957 : 498977204.0 2352 0.940 : 498977205.0 2616 0.905 : 498977206.0 2567 0.937 : 498977207.0 2543 0.919 : 498977209.0 2122 0.893 : 498977486.0 2141 0.887 : 498977487.0 2277 0.928 : 498977489.0 2141 0.862 : 498977490.0 2324 0.873 : 498977491.0 2268 0.909 : 498977492.0 2194 0.883 : 498977493.0 2550 0.924 : 498977494.0 2354 0.892 : 498977495.0 2622 0.906 : 498977498.0 2172 0.870 : 498977500.0 2306 0.886 : 498977501.0 2218 0.897 : 498977710.0 2098 0.891 : 498977711.0 2556 0.887 : 498977712.0 2426 0.893 : 498977717.0 2250 0.897 : 498977752.0 2277 0.883 : 498977760.0 2328 0.881 : 498977761.0 2129 0.882 : 498977762.0 2005 0.855 : 498977763.0 2532 0.935 : 498977833.0 2092 0.868 : 498977840.0 2324 0.876 : 498977841.0 2223 0.872 : 498977846.0 2201 0.878 : 498977847.0 2455 0.888 : 498977851.0 2405 0.900 : 498977852.0 2792 0.935 : 498977853.0 2505 0.919 : 498977856.0 2300 0.891 : 498977857.0 2314 0.907 : 498977859.0 2167 0.878 : 498977860.0 2525 0.917 : 498977861.0 2018 0.879 : 498977862.0 2274 0.884 : 498977907.0 2021 0.874 : 498977934.0 3841 0.939 : 498977935.0 2646 1.000 : 498977937.0 2730 0.987 : 498977938.0 2586 0.984 : 498977939.0 3085 0.997 : 498977940.0 2626 0.996 : 498977941.0 2007 0.987 : 498977942.0 3400 0.991 : 498977943.0 2108 0.994 : 498977944.0 2517 0.972 : 498977946.0 3272 0.979 : 498977947.0 3619 0.990 : 498977949.0 2839 0.993 : 498977950.0 2731 0.984 : 498977951.0 2151 0.985 : 498977952.0 2053 0.878 : 498977953.0 2344 0.934 : 498977956.0 2777 0.942 : 498977957.0 2541 0.977 : 498977958.0 2958 0.968 : 498977959.0 2095 0.968 : 498977960.0 2480 0.899 : 498977961.0 2829 0.941 : 498977962.0 2567 0.964 : 498977963.0 2317 0.984 : 498977964.0 2400 0.963 : 498977965.0 2719 0.936 : 498977966.0 2707 0.953 : 498977967.0 2175 0.930 : 498977968.0 2250 0.876 : 498977971.0 2810 0.927 : 498977972.0 2277 0.969 : 498977973.0 4190 0.964 : 498977976.0 2092 0.896 : 498977978.0 2019 0.867 : 498977979.0 2170 0.867 : 498977985.0 2456 0.962 : 498977994.0 2311 0.896 : 498978220.0 2219 0.895 : 498978222.0 2164 0.872 : 498978257.0 2169 0.876 : 498978260.0 2317 0.877 : 498978267.0 2195 0.869 : 498978275.0 2026 0.886 : 498978277.0 2914 0.923 : 498978278.0 2838 0.969 : 498978279.0 2226 0.976 : 498978280.0 2313 0.885 : 498978281.0 3011 0.963 : 498978282.0 2680 0.985 : 498978283.0 2362 0.969 : 498978284.0 2308 0.959 : 498978287.0 2194 0.923 : 498978288.0 2469 0.938 : 498978289.0 2530 0.947 : 498978290.0 2244 0.877 : 498978291.0 2636 0.920 : 498978292.0 2626 0.920 : 498978293.0 3704 0.935 : 498978295.0 3481 0.992 : 498978296.0 2591 0.986 : 498978297.0 2865 0.993 : 498978298.0 3029 0.987 : 498978299.0 2409 1.000 : 498978300.0 2738 0.994 : 498978301.0 2910 0.998 : 498978303.0 2830 1.000 : 498978305.0 3086 1.000 : 498978308.0 2684 0.982 : 498978309.0 3109 0.986 : 498978310.0 2682 0.991 : 498978311.0 2995 0.992 : 498978312.0 2923 0.991 : 498978313.0 2735 0.992 : 498978314.0 2590 0.989 : 498978315.0 2904 0.991 : 498978316.0 2887 0.987 : 498978321.0 2430 0.954 : 498978322.0 2569 0.939 : 498978323.0 2647 0.940 : 498978324.0 2304 0.928 : 498978390.0 2092 0.852 : 498978403.0 2129 0.866 : 498978489.0 2037 0.861 : 498978719.0 2164 0.863 : 498978724.0 2030 0.841 : 498978730.0 2237 0.882 : 498978747.0 2001 0.853 : 498978753.0 2335 0.883 : 498978754.0 2756 0.956 : 498978755.0 2638 0.915 : 498978756.0 2310 0.881 : 498978757.0 2442 0.879 : 498978758.0 2359 0.903 : 498978760.0 2200 0.865 : 498978797.0 2729 0.903 : 498978798.0 2230 0.890 : 498978801.0 2364 0.894 : 498978828.0 2026 0.870 : 498978866.0 2082 0.867 : 498978870.0 2099 0.858 : 498978905.0 2528 0.962 : 498978906.0 2545 0.968 : 498978907.0 2265 0.965 : 498978908.0 2703 0.982 : 498978909.0 2517 0.979 : 498978916.0 2462 0.921 : 498978917.0 2386 0.955 : 498978918.0 3477 0.966 : 498978930.0 2325 0.957 : 498978934.0 2597 0.939 : 498978936.0 2629 0.913 : 498978937.0 2472 0.928 : 498978938.0 2470 0.900 : 498978940.0 2185 0.871 : 498978941.0 2350 0.896 : 498978942.0 2846 0.913 : 498978943.0 2624 0.933 : 498978945.0 2890 0.975 : 498978946.0 2471 0.989 : 498978947.0 2934 0.983 : 498978948.0 2794 0.968 : 498978949.0 2801 0.986 : 498978950.0 2384 0.979 : 498978951.0 2548 0.954 : 498978952.0 2830 0.968 : 498978953.0 2739 0.964 : 498978954.0 2795 0.984 : 498978955.0 2934 0.988 : 498978956.0 2661 0.986 : 498978957.0 3126 0.976 : 498978958.0 2374 0.990 : 498978959.0 2156 0.958 : 498978960.0 2156 0.986 : 498978961.0 2593 0.985 : 498978963.0 2126 0.884 : 498978965.0 3195 0.951 : 498978966.0 2295 0.978 : 498978967.0 2586 0.985 : 498978968.0 2446 0.975 : 498978969.0 2330 0.905 : 498978970.0 2297 0.895 : 498978971.0 2485 0.903 : 498978972.0 2708 0.952 : 498978973.0 2778 0.955 : 498978974.0 2313 0.935 : 498978975.0 2329 0.934 : 498978976.0 2389 0.898 : 498978977.0 2599 0.951 : 498979031.0 2634 0.943 : 498979073.0 2423 0.872 : 498979074.0 2209 0.911 : 498979078.0 2873 0.910 : 498979080.0 2717 0.911 : 498979091.0 2761 0.910 : 498979101.0 2038 0.865 : 498979103.0 2300 0.945 : 498979104.0 2907 0.943 : 498979106.0 2004 0.851 : 498979107.0 2369 0.892 : 498979109.0 2245 0.864 : 498979110.0 3051 0.911 : 498979111.0 2417 0.978 : 498979112.0 2442 0.940 : 498979113.0 2028 0.931 : 498979116.0 3295 0.946 : 498979117.0 2776 0.979 : 498979118.0 2607 0.972 : 498979119.0 2234 0.971 : 498979122.0 2919 0.914 : 498979123.0 3008 0.983 : 498979124.0 2640 0.974 : 498979125.0 2692 0.980 : 498979126.0 3196 0.981 : 498979128.0 3470 0.964 : 498979129.0 2145 0.961 : 498979130.0 3179 0.934 : 498979131.0 2451 0.955 : 498979132.0 2107 0.961 : 498979136.0 3023 0.923 : 498979137.0 2694 0.976 : 498979138.0 2570 0.948 : 498979149.0 2782 0.934 : 498979150.0 2192 0.943 : 498979152.0 2685 0.892 : 498979191.0 2238 0.869 : 498979192.0 2608 0.972 : 498979193.0 2693 0.974 : 498979194.0 2802 0.959 : 498979195.0 2949 0.970 : 498979198.0 2420 0.933 : 498979200.0 3220 0.944 : 498979201.0 2566 0.919 : 498979202.0 2147 0.964 : 498979205.0 2805 0.958 : 498979206.0 2759 0.973 : 498979207.0 2579 0.956 : 498979208.0 2618 0.975 : 498979210.0 3224 0.913 : 498979217.0 2623 0.929 : 498979218.0 3215 0.923 : 498979271.0 2502 0.912 : 498979272.0 3124 0.960 : 498979274.0 3247 0.946 : 498979275.0 2881 0.984 : 498979279.0 2620 0.949 : 498979288.0 2032 0.881 : 498979289.0 2726 0.958 : 498979290.0 2551 0.918 : 498979307.0 2497 0.889 : 498979308.0 2154 0.840 : 498979309.0 2202 0.870 : 498979310.0 2545 0.932 : 498979311.0 2334 0.928 : 498979314.0 3351 0.917 : 498979316.0 2614 0.978 : 498979318.0 2308 0.898 : 498979319.0 2919 0.918 : 498979321.0 2574 0.904 : 498979322.0 2438 0.917 : 498979323.0 2739 0.908 : 498979324.0 2210 0.930 : 498979325.0 2350 0.900 : 498979326.0 2548 0.896 : 498979327.0 3737 0.963 : 498979330.0 2495 0.883 : 498979332.0 2557 0.920 : 498979371.0 2009 0.926 : 498979376.0 2812 0.905 : 498979377.0 2370 0.972 : 498979381.0 2614 0.928 : 498979383.0 2630 0.929 : 498979384.0 2583 0.934 : 498979385.0 2027 0.840 : 498979386.0 2307 0.886 : 498979387.0 2280 0.863 : 498979388.0 2006 0.925 : 498979390.0 2163 0.857 : 498979391.0 2032 0.828 : 498979393.0 2272 0.859 : 498979448.0 2303 0.931 : 498979456.0 2459 0.950 : 498979466.0 2308 0.861 : 498979473.0 2305 0.914 : 498979543.0 2787 0.917 : 498979544.0 2155 0.849 : 498979545.0 2924 0.939 : 498979546.0 2464 0.912 : 498979547.0 2215 0.914 : 498979548.0 2271 0.889 : 498979549.0 2438 0.901 : 498979550.0 2196 0.877 : 498979551.0 2080 0.877 : 498979554.0 2089 0.855 : 498979562.0 2029 0.853 : 498979565.0 2371 0.922 : 498979635.0 2602 0.881 : 498979636.0 2704 0.987 : 498979637.0 2097 0.966 : 498979638.0 2616 0.972 : 498979665.0 2061 0.876 : 498979854.0 2519 0.894 : 498979855.0 2067 0.870 : 498979858.0 2302 0.902 : 498979861.0 2445 0.878 : 498979862.0 2334 0.871 : 498979907.0 2222 0.843 : 498979926.0 2286 0.866 : 498979954.0 2419 0.912 : 498979955.0 2463 0.911 : 498979956.0 2169 0.902 : 498979963.0 2549 0.957 : 498980029.0 2220 0.857 : 498980112.0 2024 0.858 : 498980115.0 2095 0.874 : 498980120.0 2346 0.865 : 498980121.0 2053 0.839 : 498980122.0 2081 0.831 : 498980124.0 2331 0.865 : 498980125.0 2404 0.875 : 498980126.0 2292 0.887 : 498980127.0 2551 0.886 : 498980128.0 2406 0.883 : 498980129.0 2431 0.911 : 498980130.0 2583 0.895 : 498980131.0 2359 0.923 : 498980132.0 2175 0.919 : 498980133.0 2516 0.892 : 498980134.0 2291 0.901 : 498980135.0 2425 0.916 : 498980136.0 2697 0.896 : 498980138.0 2510 0.892 : 498980139.0 2508 0.912 : 498980140.0 2064 0.844 : 498980141.0 2206 0.900 : 498980142.0 2501 0.901 : 498980143.0 2472 0.903 : 498980144.0 2523 0.918 : 498980145.0 2364 0.891 : 498980146.0 2760 0.914 : 498980147.0 2346 0.906 : 498980148.0 2205 0.890 : 498980149.0 2458 0.874 : 498980150.0 2538 0.900 : 498980151.0 2438 0.881 : 498980152.0 2396 0.897 : 498980153.0 2165 0.904 : 498980154.0 2510 0.922 : 498980155.0 2331 0.881 : 498980156.0 2301 0.897 : 498980157.0 2219 0.895 : 498980158.0 2511 0.904 : 498980159.0 2222 0.932 : 498980160.0 2416 0.911 : 498980161.0 2324 0.899 : 498980162.0 2492 0.915 : 498980163.0 2321 0.907 : 498980164.0 2822 0.911 : 498980165.0 2109 0.898 : 498980166.0 2494 0.882 : 498980167.0 2194 0.867 : 498980168.0 2227 0.867 : 498980169.0 2342 0.856 : 498980170.0 2140 0.869 : 498980171.0 2063 0.870 : 498980172.0 2230 0.882 : 498980173.0 2323 0.873 : 498980175.0 2227 0.867 : 498980176.0 2401 0.899 : 498980177.0 2395 0.885 : 498980194.0 2034 0.830 : 498980195.0 2523 0.898 : 498980196.0 2219 0.869 : 498980197.0 2156 0.857 : 498980198.0 2332 0.860 : 498980199.0 2447 0.904 : 498980201.0 2472 0.850 : 498980205.0 2013 0.853 : 498980208.0 2261 0.862 : 498980209.0 2249 0.880 : 498980210.0 2075 0.881 : 498980227.0 2452 0.913 : 498980228.0 2751 0.915 : 498980229.0 2712 0.947 : 498980230.0 2428 0.905 : 498980231.0 2557 0.929 : 498980232.0 2415 0.926 : 498980233.0 2247 0.901 : 498980234.0 2602 0.935 : 498980235.0 2469 0.935 : 498980236.0 2629 0.932 : 498980237.0 2368 0.920 : 498980238.0 2636 0.958 : 498980239.0 2702 0.946 : 498980240.0 2437 0.934 : 498980241.0 2491 0.938 : 498980242.0 2351 0.937 : 498980243.0 2835 0.939 : 498980244.0 2750 0.949 : 498980245.0 2580 0.935 : 498980246.0 2428 0.938 : 498980247.0 2388 0.933 : 498980251.0 2323 0.888 : 498980252.0 2693 0.937 : 498980253.0 2727 0.943 : 498980262.0 2672 0.926 : 498980301.0 2766 0.926 : 498980446.0 2163 0.839 : 498980470.0 2304 0.906 : 498980474.0 2305 0.850 : 498980480.0 2326 0.881 : 498980481.0 2159 0.886 : 498980486.0 2038 0.830 : 498980487.0 2125 0.925 : 498980489.0 2277 0.854 : 498980491.0 2306 0.890 : 498980492.0 2503 0.909 : 498980493.0 2381 0.940 : 498980494.0 2081 0.866 : 498980495.0 2095 0.889 : 498980496.0 2665 0.939 : 498980497.0 2069 0.866 : 498980498.0 2200 0.885 : 498980501.0 2069 0.875 : 498980502.0 2136 0.844 : 498980511.0 2503 0.940 : 498980512.0 2286 0.938 : 498980513.0 2022 0.879 : 498980514.0 2167 0.871 : 498980515.0 2216 0.884 : 498980516.0 2548 0.938 : 498980517.0 2396 0.915 : 498980518.0 2278 0.902 : 498980519.0 2292 0.904 : 498980520.0 2191 0.910 : 498980521.0 2325 0.918 : 498980522.0 2547 0.907 : 498980523.0 2386 0.886 : 498980524.0 2034 0.940 : 498980525.0 2244 0.928 : 498980526.0 2293 0.870 : 498980529.0 2262 0.864 : 498980530.0 2291 0.913 : 498980531.0 2063 0.852 : 498980533.0 2031 0.840 : 498980534.0 2318 0.906 : 498980544.0 2380 0.931 : 498980545.0 2102 0.929 : 498980547.0 2573 0.962 : 498980548.0 2426 0.906 : 498980549.0 2442 0.893 : 498980551.0 2002 0.863 : 498980552.0 2449 0.928 : 498980553.0 2221 0.927 : 498980555.0 2474 0.937 : 498980556.0 2075 0.909 : 498980557.0 2536 0.913 : 498980558.0 2123 0.886 : 498980563.0 2450 0.869 : 498980564.0 2384 0.927 : 498980565.0 2214 0.932 : 498980567.0 2547 0.890 : 498980568.0 2546 0.884 : 498980569.0 2271 0.879 : 498980570.0 2691 0.932 : 498980571.0 2478 0.952 : 498980572.0 2305 0.918 : 498980573.0 2945 0.951 : 498980576.0 2358 0.895 : 498980577.0 2334 0.928 : 498980578.0 2283 0.899 : 498980579.0 2088 0.851 : 498980580.0 2558 0.908 : 498980581.0 2173 0.880 : 498980583.0 2233 0.835 : 498980584.0 2472 0.890 : 498980585.0 2532 0.904 : 498980586.0 2431 0.899 : 498980587.0 2012 0.949 : 498980588.0 2128 0.873 : 498980589.0 2231 0.894 : 498980591.0 2202 0.872 : 498980592.0 2343 0.847 : 498980593.0 2003 0.842 : 498980594.0 2552 0.887 : 498980595.0 2363 0.925 : 498980596.0 2148 0.917 : 498980598.0 2605 0.919 : 498980599.0 2622 0.940 : 498980600.0 2404 0.928 : 498980601.0 2200 0.882 : 498980603.0 2011 0.828 : 498980605.0 2440 0.873 : 498980606.0 2326 0.929 Total number of 1 second bins: 4337 Bins with >0 counts : 4337 Bins with >2000 counts : 720 720 of 720 high count rate bins were dominated by noise Noise dominated 16.60% of total time, 16.60% of detector on time (defined as non-zero counts)