Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 299382029.0 2015 0.759 : 299382073.0 2328 0.812 : 299383161.0 2635 0.914 : 299383930.0 2358 0.842 : 299383931.0 3605 0.924 : 299383933.0 2780 0.924 : 299383935.0 2147 0.913 : 299384292.0 2356 0.846 : 299384319.0 2147 0.826 : 299384324.0 2268 0.826 : 299386084.0 2319 0.816 : 299386085.0 2286 0.869 : 299386118.0 3353 0.886 : 299386190.0 2641 0.882 : 299386288.0 2423 0.905 : 299386427.0 2536 0.874 : 299386429.0 2113 0.843 : 299386430.0 3913 0.924 : 299386431.0 2248 0.943 : 299386432.0 2335 0.938 : 299386433.0 2598 0.993 : 299386434.0 2055 1.000 : 299386435.0 2550 0.995 : 299386436.0 2733 0.968 : 299386439.0 4019 0.935 : 299386440.0 2626 0.978 : 299386448.0 2135 0.824 : 299386449.0 2038 0.848 : 299386469.0 3086 0.910 : 299386471.0 2132 0.910 : 299386472.0 3729 0.948 : 299386473.0 2431 0.986 : 299386474.0 2707 0.993 : 299386475.0 2303 0.944 : 299386476.0 2063 0.916 : 299386477.0 2124 0.921 : 299386478.0 2293 0.843 : 299386481.0 2141 0.846 : 299386483.0 2262 0.871 : 299386485.0 2317 0.820 : 299386486.0 2360 0.845 : 299386492.0 2050 0.845 : 299386495.0 2064 0.792 : 299386499.0 2855 0.835 : 299386500.0 2051 0.832 : 299386507.0 3076 0.857 : 299386508.0 2241 0.899 : 299386509.0 2364 0.910 : 299386511.0 2144 0.825 : 299386512.0 2015 0.820 : 299386513.0 2518 0.865 : 299386514.0 3194 0.930 : 299386515.0 2642 0.960 : 299386524.0 2005 0.812 : 299386534.0 2638 0.832 : 299386535.0 3697 0.960 : 299386537.0 2583 0.892 : 299386538.0 2132 0.889 : 299386539.0 2160 0.869 : 299386542.0 2387 0.849 : 299386554.0 2222 0.804 : 299386558.0 2641 0.901 : 299386559.0 2455 0.859 : 299386561.0 2994 0.894 : 299386562.0 2570 0.904 : 299386563.0 2198 0.901 : 299386565.0 2299 0.886 : 299386566.0 2329 0.912 : 299386569.0 2401 0.818 : 299386571.0 3837 0.918 : 299386573.0 2073 0.887 : 299386574.0 2648 0.921 : 299386575.0 2557 0.931 : 299386576.0 2047 0.918 : 299386578.0 3106 0.901 : 299386581.0 2513 0.868 : 299386582.0 2311 0.862 : 299386583.0 2240 0.914 : 299386584.0 2333 0.916 : 299386585.0 2791 0.951 : 299386586.0 2580 0.964 : 299386588.0 4448 0.965 : 299386591.0 2855 0.891 : 299386592.0 2083 0.939 : 299386599.0 2050 0.760 : 299386600.0 2823 0.889 : 299386603.0 2103 0.850 : 299386605.0 2424 0.899 : 299386606.0 2455 0.872 : 299386608.0 2799 0.834 : 299386609.0 2965 0.947 : 299386610.0 2278 0.957 : 299386611.0 2670 0.976 : 299386612.0 2154 0.933 : 299386613.0 2941 0.939 : 299386615.0 2146 0.856 : 299386616.0 2015 0.889 : 299386617.0 2553 0.896 : 299386618.0 2719 0.920 : 299386619.0 2023 0.900 : 299386622.0 2108 0.733 : 299386623.0 2099 0.850 : 299386629.0 2562 0.826 : 299386631.0 2584 0.849 : 299386654.0 3337 0.911 : 299386656.0 2710 0.960 : 299386659.0 2202 0.863 : 299386660.0 2154 0.838 : 299386661.0 2560 0.888 : 299386662.0 2904 0.927 : 299386664.0 3045 0.892 : 299386665.0 2632 0.946 : 299386666.0 2473 0.931 : 299386669.0 2746 0.867 : 299386670.0 2449 0.903 : 299386674.0 2484 0.806 : 299386675.0 2720 0.866 : 299386676.0 2948 0.948 : 299386681.0 2672 0.871 : 299388137.0 2260 0.782 : 299388181.0 2151 0.745 : 299388182.0 2433 0.817 : 299388183.0 2089 0.830 : 299388186.0 2406 0.835 : 299388193.0 2024 0.727 : 299388201.0 2328 0.775 : 299388202.0 2274 0.821 : 299388226.0 2488 0.817 : 299388230.0 2362 0.759 : 299388233.0 2061 0.881 : 299388234.0 2078 0.832 : 299388235.0 2008 0.761 : 299388236.0 4537 0.952 : 299388242.0 2151 0.791 : 299388246.0 2628 0.818 : 299388247.0 2170 0.845 : 299388248.0 2188 0.863 : 299388249.0 2041 0.821 : 299388250.0 2113 0.775 : 299388251.0 2086 0.817 : 299388252.0 2312 0.866 : 299388257.0 2301 0.820 : 299388260.0 2359 0.778 : 299388261.0 2254 0.848 : 299388265.0 2079 0.784 : 299388266.0 2098 0.815 : 299388268.0 3003 0.839 : 299388272.0 2491 0.784 : 299388273.0 2470 0.838 : 299388276.0 2234 0.714 : 299388279.0 2264 0.840 : 299388282.0 2176 0.768 : 299388285.0 2350 0.812 : 299388288.0 2335 0.800 : 299388315.0 2098 0.757 : 299388459.0 2148 0.824 : 299388460.0 2012 0.746 : 299388464.0 2951 0.862 : 299388466.0 2012 0.757 : 299388467.0 2171 0.774 : 299388472.0 2070 0.771 : 299388473.0 2266 0.800 : 299388474.0 2446 0.823 : 299388475.0 4069 0.940 : 299388478.0 2174 0.789 : 299388479.0 2366 0.862 : 299388480.0 2097 0.852 : 299388482.0 2076 0.739 : 299388488.0 2007 0.796 : 299388489.0 2536 0.810 : 299388524.0 2124 0.794 : 299388525.0 2068 0.799 : 299388526.0 3018 0.901 : 299388528.0 2040 0.805 : 299388529.0 2200 0.902 : 299388530.0 2307 0.874 : 299388531.0 2955 0.889 : 299388533.0 3259 0.872 : 299388546.0 2341 0.825 : 299388552.0 2420 0.829 : 299388558.0 2221 0.829 : 299388559.0 3515 0.866 : 299388560.0 2769 0.985 : 299388561.0 2344 0.995 : 299388562.0 2731 0.988 : 299388566.0 2120 0.826 : 299388567.0 2203 0.880 : 299388578.0 2121 0.767 : 299388579.0 2061 0.825 : 299388581.0 2402 0.872 : 299388582.0 2568 0.845 : 299388584.0 2094 0.782 : 299388586.0 2048 0.848 : 299388588.0 2799 0.848 : 299388589.0 2343 0.870 : 299388590.0 2207 0.806 : 299388593.0 2850 0.860 : 299388595.0 2241 0.836 : 299388605.0 2200 0.774 : 299388606.0 2723 0.874 : 299388610.0 2173 0.837 : 299388613.0 2058 0.821 : 299388614.0 2057 0.754 : 299388624.0 2557 0.866 : 299388625.0 2287 0.895 : 299388627.0 2760 0.867 : 299388628.0 3665 0.930 : 299388629.0 2396 0.951 : 299388630.0 2897 0.945 : 299388632.0 2673 0.856 : 299388633.0 2487 0.855 : 299388634.0 2767 0.899 : 299388645.0 2299 0.810 : 299388649.0 2812 0.893 : 299388650.0 2962 0.888 : 299388652.0 2205 0.844 : 299388653.0 3301 0.875 : 299388654.0 2995 0.942 : 299388657.0 2133 0.788 : 299388659.0 3269 0.924 : 299388663.0 2615 0.828 : 299388665.0 2297 0.832 : 299388666.0 2680 0.868 : 299388667.0 2017 0.860 : 299388674.0 2086 0.789 : 299388683.0 3466 0.896 : 299388685.0 2985 0.853 : 299388688.0 2242 0.800 : 299388698.0 2314 0.826 : 299388700.0 2274 0.799 : 299388714.0 3300 0.895 : 299388716.0 2987 0.903 : 299388717.0 3389 0.920 : 299388723.0 2378 0.829 : 299388724.0 2415 0.893 : 299388725.0 2312 0.925 : 299388726.0 2083 0.865 : 299388730.0 2032 0.773 : 299388805.0 2181 0.776 : 299388831.0 2064 0.787 : 299388832.0 2231 0.829 : 299388836.0 2824 0.872 : 299388837.0 2411 0.879 : 299388839.0 2668 0.831 : 299388840.0 2350 0.872 : 299388842.0 2152 0.799 : 299388843.0 2430 0.832 : 299388863.0 3025 0.936 : 299388910.0 2237 0.821 : 299388933.0 2199 0.796 : 299388936.0 2519 0.822 : 299388950.0 3351 0.895 : 299388954.0 2126 0.856 : 299388955.0 2365 0.813 : 299388956.0 2288 0.893 : 299388960.0 3378 0.906 : 299388961.0 3160 0.939 : 299388970.0 2123 0.796 : 299388977.0 2308 0.821 : 299388979.0 3149 0.920 : 299388980.0 2126 0.929 : 299388993.0 2076 0.838 : 299389009.0 3896 0.928 : 299389011.0 2850 0.884 : 299389016.0 2302 0.861 : 299389021.0 2250 0.859 : 299389022.0 2054 0.812 : 299389032.0 2519 0.837 : 299389033.0 2631 0.873 : 299389044.0 2542 0.866 : 299389048.0 2436 0.814 : 299389049.0 2262 0.915 : 299389050.0 2082 0.868 : 299389051.0 2789 0.909 : 299389052.0 2225 0.918 : 299389053.0 2187 0.869 : 299389054.0 2470 0.817 : 299389056.0 2089 0.785 : 299389058.0 2444 0.866 : 299389060.0 2379 0.828 : 299389061.0 2026 0.807 : 299389062.0 2424 0.885 : 299389063.0 3147 0.894 : 299389065.0 2880 0.911 : 299389067.0 2377 0.854 : 299389068.0 2467 0.873 : 299389069.0 3211 0.919 : 299389071.0 3244 0.892 : 299389072.0 2063 0.883 : 299389075.0 2755 0.904 : 299389076.0 2220 0.902 : 299389077.0 2018 0.795 : 299389078.0 2983 0.859 : 299389079.0 2057 0.912 : 299389081.0 2041 0.807 : 299389085.0 2242 0.811 : 299389086.0 2039 0.782 : 299389097.0 2161 0.801 : 299389102.0 2130 0.848 : 299389105.0 2024 0.767 : 299389109.0 2201 0.848 : 299389113.0 2317 0.842 : 299389120.0 2258 0.896 : 299389121.0 2629 0.858 : 299389123.0 3191 0.894 : 299389125.0 2528 0.899 : 299389128.0 2247 0.826 : 299389129.0 2242 0.834 : 299389130.0 2922 0.895 : 299389133.0 2589 0.847 : 299389136.0 2163 0.812 : 299389140.0 2107 0.807 : 299389147.0 2142 0.809 : 299389150.0 2129 0.830 : 299389151.0 2352 0.821 : 299389152.0 2916 0.899 : 299389154.0 2524 0.834 : 299389156.0 2517 0.836 : 299389164.0 2862 0.862 : 299389178.0 2344 0.805 : 299389181.0 2068 0.828 : 299389182.0 2239 0.839 : 299389183.0 2552 0.928 : 299389184.0 2156 0.903 : 299389189.0 3604 0.905 : 299389190.0 2775 0.938 : 299389192.0 2254 0.913 : 299389193.0 2253 0.874 : 299389194.0 3233 0.911 : 299389196.0 2087 0.849 : 299389198.0 2188 0.867 : 299389201.0 2763 0.870 : 299389202.0 2054 0.860 : 299389204.0 2635 0.836 : 299389206.0 2116 0.809 : 299389219.0 2637 0.845 : 299389221.0 2231 0.835 : 299389222.0 2054 0.815 : 299389226.0 2165 0.804 : 299389229.0 2148 0.810 : 299389230.0 2016 0.815 : 299389231.0 2162 0.827 : 299389232.0 2217 0.813 : 299389233.0 2680 0.883 : 299389234.0 2213 0.858 : 299389235.0 3375 0.912 : 299389236.0 2268 0.952 : 299389237.0 2943 0.949 : 299389238.0 2167 0.936 : 299389240.0 2354 0.908 : 299389241.0 2242 0.860 : 299389242.0 2900 0.897 : 299389246.0 2834 0.869 : 299389247.0 2687 0.919 : 299389248.0 2483 0.858 : 299389249.0 2408 0.861 : 299389251.0 4114 0.911 : 299389253.0 4042 0.958 : 299389254.0 2438 0.962 : 299389256.0 2278 0.932 : 299389257.0 2416 0.935 : 299389258.0 2277 0.905 : 299389259.0 2451 0.867 : 299389261.0 2819 0.878 : 299389262.0 3246 0.925 : 299389264.0 2628 0.893 : 299389265.0 2473 0.899 : 299389268.0 2804 0.854 : 299389269.0 2369 0.897 : 299389270.0 2180 0.892 : 299389271.0 2027 0.808 : 299389272.0 2508 0.859 : 299389273.0 2410 0.882 : 299389274.0 3311 0.885 : 299389275.0 2502 0.959 : 299389278.0 2375 0.862 : 299389279.0 2395 0.861 : 299389280.0 3311 0.924 : 299389281.0 2566 0.913 : 299389282.0 2600 0.920 : 299389283.0 2393 0.903 : 299389285.0 3446 0.907 : 299389288.0 3017 0.890 : 299389289.0 2379 0.884 : 299389290.0 2689 0.880 : 299389297.0 2800 0.857 : 299389299.0 4326 0.932 : 299389301.0 2025 0.884 : 299389302.0 2811 0.898 : 299389303.0 2921 0.921 : 299389304.0 3095 0.949 : 299389306.0 4213 0.931 : 299389307.0 2240 0.928 : 299389308.0 2190 0.927 : 299389309.0 3245 0.943 : 299389311.0 2058 0.893 : 299389312.0 3435 0.927 : 299389314.0 2502 0.928 : 299389315.0 2982 0.950 : 299389317.0 2156 0.892 : 299389318.0 2795 0.919 : 299389321.0 3650 0.952 : 299389322.0 2706 0.963 : 299389324.0 2067 0.913 : 299389325.0 3106 0.913 : 299389327.0 3548 0.916 : 299389328.0 2743 0.974 : 299389329.0 2421 0.948 : 299389331.0 2895 0.895 : 299389332.0 3309 0.921 : 299389333.0 2449 0.954 : 299389335.0 2112 0.850 : 299389336.0 3009 0.872 : 299389338.0 2113 0.826 : 299389339.0 4144 0.926 : 299389340.0 2222 0.962 : 299389343.0 2964 0.915 : 299389344.0 2790 0.968 : 299389345.0 2388 0.964 : 299389347.0 2130 0.821 : 299389350.0 2479 0.822 : 299389351.0 3066 0.931 : 299389353.0 3159 0.957 : 299389354.0 2267 0.928 : 299389355.0 2312 0.916 : 299389356.0 3071 0.918 : 299389357.0 2369 0.908 : 299389358.0 2901 0.905 : 299389359.0 2320 0.938 : 299389360.0 2595 0.921 : 299389361.0 2796 0.921 : 299389362.0 2920 0.940 : 299389363.0 2391 0.911 : 299389364.0 2645 0.919 : 299389365.0 2602 0.927 : 299389366.0 2199 0.911 : 299389367.0 2689 0.900 : 299389368.0 2411 0.914 : 299389369.0 2833 0.908 : 299389370.0 2179 0.928 : 299389372.0 2714 0.899 : 299389373.0 2670 0.920 : 299389374.0 2749 0.915 : 299389375.0 2901 0.899 : 299389377.0 2652 0.899 : 299389378.0 2566 0.908 : 299389379.0 2274 0.901 : 299389380.0 3162 0.932 : 299389382.0 2205 0.835 : 299389383.0 2792 0.894 : 299389384.0 2082 0.909 : 299389385.0 3663 0.905 : 299389386.0 2903 0.955 : 299389388.0 4305 0.947 : 299389389.0 2500 0.947 : 299389390.0 2625 0.941 : 299389391.0 2056 0.964 : 299389392.0 2932 0.953 : 299389393.0 2400 0.940 : 299389394.0 2910 0.951 : 299389396.0 3719 0.937 : 299389398.0 3359 0.926 : 299389400.0 3424 0.920 : 299389402.0 2677 0.905 : 299389403.0 2793 0.897 : 299389404.0 2013 0.922 : 299389405.0 3304 0.936 : 299389406.0 2373 0.922 : 299389407.0 2181 0.920 : 299389408.0 2064 0.922 : 299389409.0 2027 0.882 : 299389414.0 2053 0.785 : 299389415.0 2105 0.820 : 299389416.0 3167 0.895 : 299389418.0 2139 0.840 : 299389419.0 2277 0.836 : 299389420.0 2477 0.887 : 299389421.0 2441 0.896 : 299389422.0 2231 0.884 : 299389424.0 3446 0.922 : 299389426.0 2285 0.857 : 299389427.0 2006 0.852 : 299389428.0 2946 0.909 : 299389429.0 2351 0.915 : 299389431.0 2068 0.897 : 299389432.0 2878 0.930 : 299389434.0 2593 0.914 : 299389435.0 2497 0.920 : 299389436.0 2312 0.930 : 299389437.0 2308 0.917 : 299389438.0 2593 0.910 : 299389439.0 3204 0.933 : 299389441.0 2418 0.923 : 299389442.0 2738 0.920 : 299389443.0 2180 0.917 : 299389444.0 2317 0.907 : 299389445.0 2976 0.900 : 299389447.0 2584 0.928 : 299389448.0 2382 0.909 : 299389450.0 2055 0.903 : 299389451.0 2538 0.892 : 299389456.0 2026 0.824 : 299389457.0 2445 0.843 : 299389458.0 2158 0.836 : 299389459.0 2039 0.825 : 299389460.0 2888 0.879 : 299389461.0 2039 0.870 : 299389462.0 2950 0.902 : 299389473.0 2623 0.860 : 299389474.0 2036 0.876 : 299389475.0 2164 0.875 : 299389478.0 2803 0.897 : 299389479.0 2365 0.943 : 299389480.0 2634 0.909 : 299389481.0 2279 0.922 : 299389482.0 2497 0.941 : 299389483.0 2812 0.934 : 299389485.0 2660 0.861 : 299389486.0 3270 0.955 : 299389488.0 3042 0.884 : 299389489.0 3675 0.964 : 299389491.0 2185 0.822 : 299389492.0 3159 0.930 : 299389494.0 2379 0.877 : 299389495.0 2560 0.902 : 299389497.0 2226 0.826 : 299389508.0 2055 0.825 : 299389511.0 2334 0.843 : 299389512.0 2280 0.839 : 299389514.0 2155 0.847 : 299389516.0 2786 0.868 : 299389517.0 2722 0.884 : 299389519.0 2352 0.869 Total number of 1 second bins: 7739 Bins with >0 counts : 6455 Bins with >2000 counts : 533 533 of 533 high count rate bins were dominated by noise Noise dominated 6.89% of total time, 8.26% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 299385881.0 2525 0.849 : 299385960.0 2446 0.891 : 299385962.0 2733 0.903 : 299385963.0 2630 0.905 : 299385964.0 2143 0.925 : 299385966.0 2037 0.825 Total number of 1 second bins: 7739 Bins with >0 counts : 6455 Bins with >2000 counts : 6 6 of 6 high count rate bins were dominated by noise Noise dominated 0.08% of total time, 0.09% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 299383539.0 2156 0.839 Total number of 1 second bins: 7739 Bins with >0 counts : 6455 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 299382709.0 2616 0.862 : 299382969.0 2189 0.823 : 299382970.0 2562 0.901 : 299382971.0 2529 0.890 : 299383031.0 2126 0.844 : 299383156.0 2516 0.891 : 299383157.0 2123 0.859 : 299384062.0 2104 0.860 : 299384341.0 4733 0.931 : 299384394.0 2183 0.850 : 299384395.0 2694 0.901 : 299384396.0 2609 0.915 : 299384397.0 2156 0.866 : 299384409.0 2494 0.881 : 299384419.0 2272 0.840 : 299384425.0 3647 0.933 : 299384426.0 2597 0.960 : 299384427.0 2222 0.975 : 299384428.0 3246 0.970 : 299384429.0 2523 0.971 : 299384443.0 2590 0.912 : 299384444.0 2659 0.952 : 299384448.0 3011 0.916 : 299384450.0 2097 0.841 : 299384451.0 2526 0.874 : 299384452.0 2271 0.903 : 299384453.0 2103 0.850 : 299384454.0 2549 0.891 : 299384455.0 2451 0.931 : 299384456.0 2606 0.897 : 299384457.0 2387 0.907 : 299384459.0 2328 0.869 : 299384460.0 2620 0.883 : 299384461.0 2283 0.893 : 299384462.0 2424 0.882 : 299384463.0 2854 0.930 : 299384465.0 2547 0.884 : 299384466.0 3813 0.949 : 299384469.0 2842 0.884 : 299384474.0 2037 0.880 : 299384491.0 2420 0.861 : 299384494.0 2272 0.857 : 299384495.0 2678 0.872 : 299384498.0 2118 0.851 : 299384499.0 2337 0.859 : 299384500.0 3412 0.918 : 299384502.0 3018 0.888 : 299384503.0 2441 0.935 : 299384504.0 3188 0.913 : 299384506.0 2813 0.935 : 299384507.0 3212 0.943 : 299384509.0 2755 0.920 : 299384510.0 3202 0.938 : 299384511.0 2340 0.927 : 299384512.0 2740 0.950 : 299384513.0 3262 0.962 : 299384514.0 2329 0.937 : 299384515.0 2259 0.944 : 299384516.0 3172 0.947 : 299384517.0 2207 0.942 : 299384518.0 2502 0.949 : 299384519.0 2598 0.935 : 299384520.0 2017 0.917 : 299384521.0 2827 0.916 : 299384522.0 2142 0.909 : 299384523.0 3468 0.925 : 299384525.0 3148 0.941 : 299384526.0 3292 0.947 : 299384527.0 2489 0.970 : 299384528.0 3255 0.971 : 299384529.0 2058 0.957 : 299384530.0 3247 0.956 : 299384532.0 3106 0.929 : 299384533.0 2384 0.937 : 299384534.0 2805 0.919 : 299384535.0 2428 0.890 : 299384536.0 2700 0.924 : 299384538.0 3360 0.924 : 299384540.0 3174 0.948 : 299384541.0 2296 0.941 : 299384542.0 3066 0.954 : 299384543.0 2382 0.946 : 299384544.0 2762 0.925 : 299384546.0 2521 0.938 : 299384547.0 2691 0.938 : 299384564.0 3429 0.911 : 299384566.0 3157 0.934 : 299384568.0 2860 0.885 : 299384569.0 3310 0.985 : 299384577.0 2488 0.859 : 299384578.0 2307 0.867 : 299384580.0 2759 0.879 : 299384618.0 2041 0.816 : 299384628.0 2556 0.901 : 299384629.0 2904 0.903 : 299384631.0 2594 0.892 : 299384632.0 2522 0.895 : 299384979.0 2205 0.853 : 299384980.0 2499 0.902 : 299384981.0 2989 0.939 : 299384982.0 2229 0.904 : 299384983.0 2176 0.898 : 299384984.0 2341 0.897 : 299385012.0 4198 0.909 : 299385040.0 3024 0.929 : 299385041.0 2195 0.917 : 299385042.0 2667 0.917 : 299385043.0 2520 0.938 : 299385259.0 4332 0.936 : 299385260.0 2371 0.935 : 299385263.0 2236 0.838 : 299385264.0 2148 0.806 : 299385308.0 3059 0.917 : 299385332.0 2121 0.853 : 299385336.0 4830 0.964 : 299385342.0 2250 0.827 : 299385371.0 2632 0.865 : 299385372.0 2133 0.914 : 299385486.0 2507 0.845 : 299385515.0 2718 0.866 : 299385517.0 2350 0.851 : 299385518.0 2987 0.864 : 299385526.0 2070 0.852 : 299385578.0 2031 0.777 : 299385598.0 3501 0.908 : 299385600.0 3282 0.888 : 299385681.0 2050 0.814 : 299385682.0 2269 0.845 : 299385744.0 2123 0.909 : 299385745.0 2693 0.903 : 299385746.0 2602 0.917 : 299385747.0 2688 0.907 : 299385748.0 2246 0.924 : 299385749.0 3258 0.939 : 299385750.0 2493 0.939 : 299385751.0 2406 0.941 : 299385755.0 4162 0.917 : 299385756.0 2853 0.947 : 299385757.0 2485 0.946 : 299385758.0 2757 0.950 : 299385760.0 3958 0.912 : 299385761.0 2737 0.948 : 299385764.0 3678 0.948 : 299385765.0 2774 0.943 : 299385766.0 2258 0.922 : 299385767.0 2546 0.945 : 299385768.0 2345 0.937 : 299385769.0 2354 0.951 : 299385770.0 2452 0.960 : 299385771.0 3014 0.953 : 299385772.0 2648 0.940 : 299385773.0 2371 0.943 : 299385774.0 2592 0.949 : 299385775.0 2782 0.945 : 299385776.0 2448 0.939 : 299385777.0 2853 0.948 : 299385778.0 2816 0.949 : 299385779.0 2580 0.951 : 299385780.0 2753 0.942 : 299385781.0 2789 0.936 : 299385782.0 2242 0.935 : 299385785.0 3834 0.906 : 299385786.0 2912 0.949 : 299385788.0 4047 0.946 : 299385789.0 2669 0.941 : 299385790.0 2340 0.952 : 299385791.0 2810 0.963 : 299385792.0 2551 0.960 : 299385793.0 2890 0.947 : 299385794.0 2056 0.952 : 299385795.0 2740 0.956 : 299385796.0 2765 0.954 : 299385797.0 2594 0.954 : 299385798.0 2125 0.943 : 299385799.0 2160 0.908 : 299385802.0 2203 0.864 : 299385810.0 2095 0.811 : 299385811.0 2281 0.858 : 299385812.0 2099 0.862 : 299385814.0 2165 0.799 : 299385815.0 2971 0.938 : 299385816.0 2740 0.948 : 299385817.0 2639 0.941 : 299385819.0 2050 0.812 : 299385820.0 3886 0.909 : 299385821.0 2530 0.955 : 299385822.0 2217 0.949 : 299385823.0 2909 0.951 : 299385824.0 2796 0.952 : 299385825.0 2637 0.944 : 299385826.0 2443 0.961 : 299385827.0 2607 0.959 : 299385828.0 2747 0.961 : 299385829.0 2972 0.940 : 299385830.0 2315 0.955 : 299385831.0 2854 0.958 : 299385833.0 2144 0.825 : 299385834.0 2881 0.941 : 299385835.0 2533 0.946 : 299385836.0 2117 0.940 : 299385838.0 2839 0.865 : 299385839.0 3044 0.943 : 299385840.0 3327 0.952 : 299385841.0 2503 0.948 : 299385842.0 2766 0.931 : 299385843.0 2174 0.946 : 299385844.0 3049 0.944 : 299385845.0 2382 0.957 : 299385846.0 2646 0.938 : 299385847.0 2862 0.947 : 299385849.0 3465 0.884 : 299385850.0 2493 0.948 : 299385851.0 2842 0.952 : 299385852.0 2773 0.948 : 299385853.0 2532 0.954 : 299385854.0 2931 0.954 : 299385855.0 3060 0.953 : 299385856.0 2180 0.952 : 299385857.0 2969 0.957 : 299385859.0 3081 0.942 : 299385860.0 2605 0.962 : 299385861.0 2522 0.959 : 299385862.0 2474 0.959 : 299385863.0 3237 0.956 : 299385864.0 2588 0.950 : 299385865.0 2581 0.958 : 299385866.0 2580 0.967 : 299385868.0 3162 0.861 : 299385869.0 2289 0.908 : 299385880.0 3090 0.912 : 299385881.0 3413 0.931 : 299385882.0 2519 0.951 : 299385883.0 2703 0.962 : 299385884.0 2785 0.945 : 299385885.0 3060 0.965 : 299385886.0 2789 0.959 : 299385888.0 3862 0.944 : 299385890.0 3179 0.922 : 299385891.0 2480 0.935 : 299385892.0 3366 0.948 : 299385893.0 2158 0.934 : 299385894.0 2117 0.926 : 299385895.0 2700 0.945 : 299385896.0 3255 0.967 : 299385898.0 2531 0.937 : 299385899.0 2537 0.909 : 299385900.0 3738 0.955 : 299385902.0 4137 0.941 : 299385903.0 2195 0.945 : 299385904.0 2850 0.959 : 299385906.0 2794 0.950 : 299385907.0 2374 0.939 : 299385908.0 2459 0.926 : 299385910.0 3908 0.898 : 299385911.0 2673 0.945 : 299385912.0 2273 0.956 : 299385913.0 2790 0.968 : 299385914.0 2814 0.955 : 299385915.0 2714 0.945 : 299385917.0 2247 0.845 : 299385920.0 4116 0.940 : 299385921.0 2431 0.961 : 299385922.0 2795 0.961 : 299385930.0 3182 0.889 : 299385931.0 2875 0.943 : 299385933.0 4759 0.923 : 299385934.0 2257 0.945 : 299385936.0 3900 0.938 : 299385937.0 2652 0.936 : 299385939.0 3472 0.946 : 299385940.0 2618 0.956 : 299385941.0 2854 0.951 : 299385942.0 2201 0.948 : 299385943.0 2934 0.944 : 299385944.0 2435 0.936 : 299385945.0 2640 0.944 : 299385946.0 2504 0.928 : 299385947.0 2462 0.954 : 299385948.0 3090 0.948 : 299385949.0 2797 0.949 : 299385950.0 2798 0.942 : 299385951.0 2813 0.962 : 299385952.0 2694 0.955 : 299385953.0 2102 0.931 : 299385954.0 3017 0.950 : 299385955.0 2770 0.951 : 299385957.0 3944 0.926 : 299385958.0 2699 0.958 : 299385959.0 2785 0.942 : 299385960.0 2662 0.942 : 299385961.0 2313 0.939 : 299385962.0 2418 0.949 : 299385963.0 2441 0.937 : 299385964.0 2411 0.948 : 299385965.0 3082 0.959 : 299385966.0 2579 0.942 : 299385967.0 2362 0.950 : 299385968.0 2676 0.935 : 299385970.0 3523 0.898 : 299385972.0 2235 0.860 : 299385974.0 4440 0.940 : 299385975.0 2829 0.966 : 299385976.0 2644 0.949 : 299385977.0 2807 0.949 : 299385978.0 2793 0.947 : 299385979.0 2829 0.940 : 299385980.0 2523 0.950 : 299385981.0 3011 0.940 : 299385983.0 4516 0.939 : 299385984.0 2818 0.953 : 299388232.0 2999 0.812 : 299388235.0 2149 0.776 : 299388353.0 2543 0.831 : 299388567.0 2391 0.891 : 299388821.0 2752 0.858 : 299388822.0 3745 0.936 : 299388826.0 3416 0.922 : 299388827.0 2302 0.891 : 299388828.0 2085 0.850 : 299388829.0 2383 0.867 : 299388830.0 2552 0.835 : 299388831.0 2588 0.874 : 299388834.0 3526 0.905 : 299388837.0 2713 0.855 : 299388839.0 4257 0.929 : 299388840.0 3472 0.966 : 299388875.0 2514 0.870 : 299388986.0 3365 0.888 Total number of 1 second bins: 7739 Bins with >0 counts : 6455 Bins with >2000 counts : 328 328 of 328 high count rate bins were dominated by noise Noise dominated 4.24% of total time, 5.08% of detector on time (defined as non-zero counts)