Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 298389733.0 2098 0.765 : 298391562.0 2071 0.777 : 298391756.0 2640 0.919 : 298391759.0 2145 0.809 : 298391803.0 2133 0.848 : 298391810.0 2004 0.842 : 298391841.0 2436 0.826 : 298391846.0 2362 0.824 : 298391847.0 3005 0.908 : 298391855.0 2014 0.791 : 298391894.0 2182 0.825 : 298391910.0 2052 0.793 : 298391911.0 2518 0.866 : 298391912.0 2107 0.897 : 298391914.0 2002 0.748 : 298391915.0 2758 0.931 : 298392051.0 2239 0.820 : 298392053.0 2230 0.822 : 298392056.0 2169 0.888 : 298392067.0 2231 0.834 : 298392081.0 2018 0.799 : 298392083.0 2151 0.824 : 298392085.0 2871 0.913 : 298392087.0 2079 0.890 : 298392088.0 2961 0.920 : 298392089.0 2198 0.925 : 298392090.0 2804 0.929 : 298392153.0 2517 0.908 : 298392154.0 2230 0.906 : 298392303.0 2037 0.778 : 298392310.0 2101 0.803 : 298392311.0 2249 0.860 : 298392312.0 2381 0.896 : 298392313.0 2095 0.847 : 298392318.0 2220 0.839 : 298392324.0 2426 0.819 : 298392326.0 3903 0.944 : 298392328.0 2686 0.882 : 298392332.0 2048 0.828 : 298392333.0 2832 0.888 : 298392334.0 2147 0.931 : 298392335.0 2190 0.929 : 298392336.0 2918 0.929 : 298392337.0 2401 0.911 : 298392338.0 2671 0.949 : 298392339.0 2845 0.928 : 298392340.0 2406 0.917 : 298392341.0 2486 0.940 : 298392343.0 2831 0.880 : 298392346.0 2159 0.823 : 298392348.0 4390 0.945 : 298392362.0 2822 0.855 : 298392372.0 2220 0.837 : 298392376.0 2729 0.870 : 298392377.0 3231 0.943 : 298392379.0 3176 0.961 : 298392380.0 2567 0.949 : 298392381.0 2472 0.962 : 298392382.0 2463 0.952 : 298392383.0 2092 0.933 : 298392384.0 3239 0.969 : 298392385.0 3452 0.961 : 298392387.0 2093 0.956 : 298392388.0 2587 0.978 : 298392389.0 2479 0.993 : 298392391.0 3247 0.956 : 298392393.0 2281 0.897 : 298392395.0 2029 0.843 : 298392396.0 3421 0.935 : 298392397.0 2109 0.926 : 298392398.0 2189 0.875 : 298392399.0 2462 0.862 : 298392400.0 2204 0.918 : 298392401.0 2339 0.845 : 298392430.0 2481 0.862 : 298392434.0 2064 0.896 : 298392437.0 3058 0.956 : 298392440.0 3289 0.955 : 298392442.0 2724 0.884 : 298392443.0 2172 0.797 : 298392444.0 3033 0.915 : 298392445.0 2518 0.947 : 298392449.0 2237 0.913 : 298392450.0 2896 0.908 : 298392451.0 2977 0.974 : 298392465.0 3050 0.875 : 298392470.0 2188 0.809 : 298392474.0 3777 0.949 : 298392478.0 2071 0.795 : 298392488.0 2064 0.869 : 298392489.0 2297 0.825 : 298392490.0 2526 0.890 : 298392491.0 2970 0.923 : 298392494.0 2229 0.863 : 298392506.0 2962 0.893 : 298392510.0 2314 0.910 : 298392512.0 2085 0.794 : 298392513.0 2412 0.918 : 298392514.0 2518 0.927 : 298392524.0 3290 0.896 : 298392542.0 2096 0.811 : 298392543.0 2299 0.902 : 298392544.0 3574 0.966 : 298392546.0 3147 0.969 : 298392548.0 2071 0.940 : 298392549.0 3071 0.899 : 298392551.0 2207 0.990 : 298392554.0 3086 0.953 : 298392555.0 2145 0.893 : 298392556.0 2227 0.897 : 298392562.0 2075 0.805 : 298392567.0 2212 0.869 : 298392570.0 2844 0.861 : 298392572.0 2450 0.928 : 298392573.0 2986 0.973 : 298392579.0 2558 0.941 : 298392580.0 3093 0.972 : 298392584.0 2092 0.835 : 298392595.0 2873 0.911 : 298392596.0 3207 0.959 : 298392597.0 2477 0.980 : 298392601.0 2532 0.885 : 298392602.0 2243 0.905 : 298392603.0 2850 0.881 : 298392604.0 2385 0.963 : 298392606.0 3612 0.910 : 298392607.0 2344 0.960 : 298392609.0 2872 0.933 : 298392610.0 2339 0.948 : 298392612.0 2738 0.936 : 298392613.0 3987 0.949 : 298392615.0 2282 0.918 : 298392616.0 2442 0.963 : 298392617.0 2069 0.939 : 298392618.0 2316 0.924 : 298392619.0 2891 0.944 : 298392621.0 2418 0.887 : 298392622.0 2567 0.941 : 298392623.0 2442 0.931 : 298392624.0 2735 0.950 : 298392626.0 2923 0.913 : 298392627.0 2382 0.920 : 298392628.0 2907 0.943 : 298392629.0 2636 0.960 : 298392630.0 2748 0.946 : 298392632.0 2587 0.879 : 298392633.0 2131 0.880 : 298392634.0 2179 0.850 : 298392635.0 2570 0.895 : 298392641.0 2285 0.869 : 298392655.0 2631 0.866 : 298392656.0 2434 0.907 : 298392657.0 2817 0.916 : 298392658.0 3499 0.951 : 298392660.0 3593 0.933 : 298392662.0 2784 0.948 : 298392663.0 3547 0.939 : 298392665.0 2750 0.952 : 298392666.0 2817 0.944 : 298392667.0 2381 0.918 : 298392668.0 3186 0.941 : 298392670.0 2382 0.843 : 298392672.0 2012 0.749 : 298392675.0 3467 0.909 : 298392678.0 2182 0.887 : 298392679.0 2269 0.868 : 298392681.0 2450 0.860 : 298392682.0 2269 0.834 : 298392684.0 2807 0.879 : 298392686.0 2040 0.782 : 298392687.0 2179 0.905 : 298392689.0 2201 0.839 : 298392694.0 2058 0.808 : 298392696.0 2213 0.815 : 298392698.0 3318 0.879 : 298392701.0 2146 0.892 : 298392702.0 2647 0.901 : 298392728.0 3030 0.891 : 298392738.0 2284 0.865 : 298392740.0 2934 0.932 : 298392741.0 2338 0.902 : 298392742.0 3198 0.928 : 298392743.0 2129 0.953 : 298392744.0 2030 0.936 : 298392773.0 2143 0.830 : 298392774.0 2798 0.926 : 298392775.0 2003 0.900 : 298392776.0 3686 0.908 : 298392777.0 2422 0.996 : 298392780.0 4005 0.932 : 298392781.0 2127 0.991 : 298392783.0 2462 0.902 : 298392784.0 2766 0.920 : 298392785.0 2728 0.956 : 298392825.0 2258 0.829 : 298392826.0 3388 0.988 : 298392828.0 2304 0.935 : 298392829.0 2560 0.943 : 298392830.0 2730 0.933 : 298392832.0 2064 0.825 : 298392837.0 2208 0.822 : 298392838.0 3358 0.916 : 298392839.0 3387 0.984 : 298392842.0 2549 0.926 : 298392845.0 2532 0.913 : 298392846.0 2637 0.908 : 298392847.0 2688 0.901 : 298392848.0 3000 0.945 : 298392849.0 2638 0.939 : 298392854.0 2708 0.882 : 298392862.0 2764 0.935 : 298392905.0 2731 0.860 : 298392906.0 2686 0.972 : 298392972.0 2628 0.889 : 298392973.0 3106 0.917 : 298392974.0 2377 0.932 : 298392975.0 2164 0.857 : 298392976.0 2553 0.861 : 298392990.0 2180 0.844 : 298392993.0 3066 0.891 : 298392995.0 2014 0.794 : 298393009.0 2140 0.851 : 298393010.0 2262 0.834 : 298393201.0 2209 0.852 : 298393221.0 2879 0.920 : 298393222.0 2511 0.982 : 298393225.0 2073 0.867 : 298393227.0 2114 0.813 : 298393228.0 2108 0.925 : 298393229.0 3149 0.910 : 298393231.0 4543 0.972 : 298393270.0 2028 0.838 : 298393274.0 2317 0.876 : 298393275.0 2210 0.833 : 298393276.0 3378 0.909 : 298393281.0 3780 0.935 : 298393283.0 3405 0.967 : 298393285.0 2850 0.924 : 298393297.0 2035 0.814 : 298393298.0 3026 0.940 : 298393299.0 2042 0.963 : 298393301.0 3315 0.880 : 298393303.0 3761 0.977 : 298393306.0 2713 0.890 : 298393307.0 3054 0.877 : 298393308.0 3154 0.981 : 298393310.0 2251 1.000 : 298393313.0 2096 0.960 : 298393315.0 2259 0.876 : 298393316.0 4610 0.938 : 298393318.0 2667 0.883 : 298393319.0 2122 0.907 : 298393324.0 3496 0.974 : 298393326.0 2255 0.964 : 298393328.0 2583 0.940 : 298393363.0 3150 0.934 : 298393372.0 2613 0.913 : 298393373.0 2840 0.949 : 298393374.0 2093 0.931 : 298393385.0 2350 0.880 : 298393392.0 3929 0.935 : 298393393.0 2071 0.976 : 298393398.0 3634 0.947 : 298393400.0 2157 0.815 : 298393408.0 2703 0.858 : 298393414.0 2308 0.834 : 298393426.0 2336 0.863 : 298393528.0 2419 0.875 : 298393873.0 2121 0.904 : 298393946.0 2370 0.900 : 298394086.0 2365 0.877 : 298394094.0 2469 0.898 : 298394095.0 2227 0.828 : 298394112.0 2018 0.810 : 298394113.0 2284 0.903 : 298394115.0 2080 0.935 : 298395063.0 2453 0.886 : 298395067.0 2226 0.825 : 298395074.0 2382 0.930 : 298395077.0 3029 0.944 : 298395085.0 2475 0.857 : 298395093.0 2077 0.875 : 298395097.0 2041 0.969 : 298395104.0 2647 0.894 : 298395105.0 2301 0.854 : 298395124.0 2582 0.905 : 298395126.0 4282 0.968 : 298395127.0 2439 0.983 : 298395133.0 2112 0.890 : 298395152.0 2964 0.930 : 298395153.0 2167 0.855 : 298395165.0 2169 0.860 : 298395238.0 3400 0.897 : 298395252.0 2018 0.809 : 298395513.0 2243 0.826 : 298395566.0 2676 0.905 : 298395570.0 2798 0.956 : 298395571.0 2892 0.977 : 298395580.0 2495 0.846 : 298395607.0 2945 0.876 : 298395664.0 2574 0.887 : 298395678.0 2350 0.818 : 298395740.0 3370 0.972 : 298395745.0 2373 0.843 : 298395747.0 2164 0.827 : 298395750.0 2970 0.907 : 298395752.0 2627 0.978 : 298395754.0 2317 0.975 : 298395928.0 2232 0.832 : 298396113.0 2424 0.831 : 298396130.0 3027 0.910 : 298396138.0 2626 0.795 : 298396140.0 3296 0.918 : 298396146.0 3669 0.908 : 298396157.0 3215 0.908 : 298396172.0 2171 0.920 : 298397488.0 2268 0.901 : 298397498.0 2197 0.885 : 298397500.0 2403 0.875 : 298397509.0 2123 0.790 : 298397539.0 2760 0.858 : 298397626.0 2060 0.826 : 298397655.0 2084 0.858 : 298397656.0 2963 0.927 : 298397657.0 2082 0.862 : 298397660.0 2372 0.916 : 298397661.0 2231 0.923 : 298397663.0 2037 0.921 : 298397664.0 2370 0.866 : 298397665.0 2027 0.888 : 298397666.0 2156 0.898 : 298397668.0 2418 0.905 : 298397670.0 2743 0.906 : 298397784.0 4326 0.980 : 298397802.0 2247 0.919 : 298397803.0 2519 0.852 : 298397811.0 2025 0.872 : 298397860.0 2644 0.848 : 298398158.0 2798 0.876 : 298398160.0 2169 0.810 : 298398252.0 2522 0.895 : 298398253.0 2004 0.905 : 298398256.0 2087 0.883 : 298398275.0 3961 0.933 : 298398277.0 2344 0.952 : 298398278.0 2179 0.897 : 298398279.0 3327 0.936 : 298398281.0 2166 0.817 : 298398299.0 2174 0.839 : 298398309.0 2077 0.830 : 298398310.0 3004 0.981 : 298398311.0 2047 0.990 : 298398318.0 2113 0.911 : 298398320.0 3236 0.910 : 298398321.0 2289 0.901 : 298398322.0 2335 0.965 : 298398339.0 3241 0.882 : 298398343.0 2093 0.836 : 298398355.0 2667 0.935 : 298398356.0 3001 0.964 : 298398357.0 2406 0.982 : 298398358.0 2562 0.991 : 298398364.0 2928 0.950 : 298398365.0 2584 0.962 : 298398371.0 3532 0.929 : 298398382.0 2154 0.883 : 298398385.0 2784 0.842 : 298398386.0 2532 0.936 : 298398388.0 3060 0.949 : 298398498.0 2191 0.874 : 298398503.0 2150 0.904 : 298398507.0 2921 0.875 : 298398512.0 4059 0.942 : 298398514.0 3348 0.960 : 298398517.0 3063 0.929 : 298398522.0 2719 0.961 : 298398523.0 2120 0.822 : 298398524.0 2034 0.924 : 298398546.0 2143 0.932 : 298398566.0 2965 0.887 : 298398595.0 2131 0.865 : 298398602.0 3010 0.878 : 298398604.0 2922 0.887 : 298398605.0 3984 0.933 : 298398606.0 2795 0.994 : 298398609.0 2434 0.933 : 298398610.0 2621 0.882 : 298398611.0 2490 0.898 : 298398613.0 2273 0.835 Total number of 1 second bins: 8896 Bins with >0 counts : 6678 Bins with >2000 counts : 389 389 of 389 high count rate bins were dominated by noise Noise dominated 4.37% of total time, 5.83% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction Total number of 1 second bins: 8897 Bins with >0 counts : 6679 Bins with >2000 counts : 0 0 of 0 high count rate bins were dominated by noise Noise dominated 0.00% of total time, 0.00% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 298391291.0 2007 0.806 : 298391292.0 2118 0.850 : 298391349.0 2120 0.808 : 298392276.0 2825 0.857 : 298392277.0 2070 0.927 : 298392281.0 2763 0.937 : 298392285.0 2093 0.853 : 298392287.0 2027 0.896 : 298392288.0 2831 0.932 : 298392289.0 4279 0.971 : 298392290.0 2723 0.994 : 298392319.0 3177 0.900 : 298392320.0 3719 0.980 : 298398145.0 2066 0.821 : 298398235.0 2006 0.780 : 298398241.0 2025 0.800 : 298398282.0 2696 0.902 Total number of 1 second bins: 8897 Bins with >0 counts : 6679 Bins with >2000 counts : 17 17 of 17 high count rate bins were dominated by noise Noise dominated 0.19% of total time, 0.25% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 298392066.0 3708 0.943 : 298392385.0 2207 0.797 : 298393124.0 2241 0.850 : 298393981.0 2414 0.894 : 298395389.0 2581 0.872 : 298395397.0 3173 0.932 : 298395399.0 3504 0.961 : 298395400.0 2049 0.910 : 298398113.0 2125 0.823 Total number of 1 second bins: 8897 Bins with >0 counts : 6679 Bins with >2000 counts : 9 9 of 9 high count rate bins were dominated by noise Noise dominated 0.10% of total time, 0.13% of detector on time (defined as non-zero counts)