Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 307466464.0 2029 0.841 : 307466465.0 2309 0.893 : 307466467.0 2005 0.847 : 307466477.0 2320 0.854 : 307466478.0 2620 0.889 : 307466479.0 2051 0.908 : 307466480.0 2138 0.902 : 307466499.0 2383 0.877 : 307466500.0 2512 0.925 Total number of 1 second bins: 13389 Bins with >0 counts : 12281 Bins with >2000 counts : 9 9 of 9 high count rate bins were dominated by noise Noise dominated 0.07% of total time, 0.07% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 307461136.0 4789 0.937 : 307462793.0 2285 0.815 : 307464937.0 2076 0.826 : 307465396.0 2038 0.826 : 307465882.0 2299 0.870 : 307465940.0 2193 0.852 : 307465946.0 2074 0.815 : 307466725.0 2125 0.874 : 307467110.0 2360 0.880 : 307468118.0 2937 0.905 Total number of 1 second bins: 13390 Bins with >0 counts : 12282 Bins with >2000 counts : 10 10 of 10 high count rate bins were dominated by noise Noise dominated 0.07% of total time, 0.08% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 307462872.0 2776 0.856 Total number of 1 second bins: 13390 Bins with >0 counts : 12282 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 3 : Time totcounts fraction : 307458549.0 2222 0.835 : 307458550.0 3350 0.905 : 307458552.0 2503 0.873 : 307458578.0 2107 0.799 : 307458588.0 2333 0.857 : 307458622.0 2318 0.845 : 307458623.0 2121 0.859 : 307458624.0 2175 0.861 : 307458625.0 2405 0.837 : 307458626.0 2239 0.878 : 307458628.0 2091 0.816 : 307458629.0 2080 0.848 : 307458633.0 2251 0.855 : 307458634.0 2200 0.846 : 307458636.0 2309 0.853 : 307458638.0 2281 0.863 : 307458639.0 2119 0.845 : 307458650.0 2250 0.843 : 307458739.0 2644 0.866 : 307458863.0 2558 0.870 : 307458874.0 2041 0.825 : 307458882.0 2009 0.841 : 307458883.0 2493 0.873 : 307458886.0 3042 0.909 : 307458888.0 2819 0.862 : 307458889.0 2175 0.881 : 307458918.0 2457 0.834 : 307458920.0 2219 0.840 : 307458924.0 2648 0.892 : 307458931.0 2031 0.822 : 307458932.0 2213 0.823 : 307459037.0 2395 0.854 : 307459045.0 2534 0.847 : 307459059.0 3655 0.949 : 307459060.0 2161 0.941 : 307459061.0 2732 0.940 : 307459062.0 2110 0.925 : 307459063.0 2412 0.934 : 307459064.0 2652 0.949 : 307459712.0 2381 0.871 : 307459720.0 2181 0.847 : 307459724.0 3062 0.892 : 307459730.0 2031 0.891 : 307459797.0 2369 0.874 : 307459998.0 3587 0.910 : 307459999.0 2785 0.970 : 307460001.0 2718 0.915 : 307460015.0 3228 0.910 : 307460016.0 3083 0.899 : 307460019.0 2478 0.863 : 307460031.0 2208 0.904 : 307460056.0 2092 0.815 : 307460081.0 2450 0.874 : 307460122.0 2664 0.893 : 307460123.0 2078 0.849 : 307460127.0 2071 0.851 : 307460196.0 2554 0.870 : 307460202.0 2680 0.891 : 307460204.0 4379 0.944 : 307460205.0 2919 0.986 : 307460542.0 2106 0.845 : 307460543.0 2004 0.883 : 307460559.0 3055 0.910 : 307460629.0 3952 0.916 : 307460630.0 2917 0.961 : 307460631.0 2391 0.961 : 307460632.0 2988 0.960 : 307460633.0 2105 0.954 : 307460634.0 2575 0.902 : 307460635.0 2666 0.960 : 307460637.0 4222 0.957 : 307460639.0 3226 0.906 : 307460681.0 2365 0.885 : 307460682.0 2102 0.875 : 307460683.0 2379 0.877 : 307460696.0 2810 0.897 : 307460697.0 2315 0.902 : 307460698.0 2364 0.897 : 307460700.0 3432 0.906 : 307460706.0 3806 0.923 : 307460707.0 2195 0.930 : 307460709.0 4408 0.953 : 307460710.0 2944 0.985 : 307460716.0 2080 0.854 : 307460737.0 2985 0.912 : 307461360.0 2683 0.875 : 307461361.0 2558 0.890 : 307461362.0 2057 0.846 : 307461363.0 2024 0.854 : 307461365.0 2312 0.894 : 307461368.0 2571 0.887 : 307461369.0 2339 0.867 : 307461370.0 2382 0.893 : 307461371.0 2733 0.879 : 307461373.0 2632 0.893 : 307461374.0 2317 0.879 : 307461375.0 2321 0.881 : 307461376.0 2271 0.881 : 307461378.0 2108 0.860 : 307461379.0 2705 0.796 : 307461381.0 2636 0.901 : 307461382.0 2356 0.885 : 307461383.0 2175 0.865 : 307461392.0 2432 0.856 : 307461394.0 2110 0.837 : 307461399.0 2192 0.851 : 307461400.0 2102 0.852 : 307461401.0 3067 0.902 : 307461402.0 2548 0.925 : 307461403.0 2868 0.929 : 307461419.0 2552 0.890 : 307461421.0 2358 0.877 : 307461422.0 2684 0.918 : 307461423.0 2653 0.903 : 307461424.0 2223 0.883 : 307461426.0 2541 0.884 : 307461427.0 2138 0.827 : 307461428.0 2024 0.866 : 307461429.0 3258 0.917 : 307461431.0 2659 0.909 : 307461433.0 2619 0.890 : 307461434.0 2744 0.905 : 307461435.0 2362 0.903 : 307461436.0 2659 0.898 : 307461437.0 2595 0.916 : 307461438.0 2539 0.889 : 307461439.0 2528 0.917 : 307461440.0 2348 0.857 : 307461441.0 2220 0.874 : 307461442.0 3244 0.930 : 307461443.0 2529 0.917 : 307461444.0 2019 0.899 : 307461445.0 2336 0.917 : 307461446.0 2760 0.914 : 307461447.0 3294 0.910 : 307461448.0 2067 0.913 : 307461449.0 2123 0.888 : 307461452.0 2075 0.834 : 307461455.0 3427 0.930 : 307461456.0 2389 0.902 : 307461457.0 2163 0.871 : 307461458.0 3069 0.921 : 307461477.0 2051 0.848 : 307461537.0 2044 0.847 : 307461538.0 2501 0.886 : 307461540.0 2980 0.892 : 307461542.0 2390 0.870 : 307461543.0 2454 0.864 : 307461544.0 2219 0.890 : 307461545.0 2125 0.837 : 307461546.0 2361 0.873 : 307461547.0 2774 0.910 : 307461548.0 2192 0.892 : 307461549.0 2528 0.908 : 307461557.0 2240 0.868 : 307461558.0 2307 0.917 : 307461559.0 2390 0.905 : 307461560.0 3331 0.930 : 307461562.0 2783 0.887 : 307461599.0 3234 0.907 : 307461600.0 2073 0.836 : 307461602.0 2485 0.868 : 307461603.0 2895 0.943 : 307461604.0 3033 0.899 : 307461605.0 2693 0.950 : 307461607.0 2863 0.899 : 307461608.0 2061 0.890 : 307461609.0 2117 0.851 : 307461611.0 2028 0.821 : 307461612.0 3043 0.893 : 307461613.0 2916 0.947 : 307461614.0 2567 0.920 : 307461615.0 3021 0.941 : 307461617.0 2829 0.878 : 307461619.0 2871 0.915 : 307461620.0 2209 0.885 : 307461621.0 2314 0.906 : 307461624.0 2257 0.855 : 307461625.0 2368 0.910 : 307461626.0 2277 0.916 : 307461627.0 2382 0.897 : 307461628.0 2463 0.883 : 307461629.0 2679 0.925 : 307461630.0 3148 0.955 : 307461631.0 2020 0.905 : 307461632.0 2479 0.879 : 307461633.0 2638 0.913 : 307461634.0 2147 0.886 : 307461635.0 2190 0.856 : 307461640.0 2028 0.828 : 307461641.0 2274 0.861 : 307461642.0 2027 0.852 : 307461643.0 2371 0.873 : 307461644.0 2446 0.896 : 307461645.0 2425 0.866 : 307461647.0 2189 0.870 : 307461648.0 2519 0.867 : 307461649.0 2305 0.878 : 307461650.0 2192 0.832 : 307461651.0 2303 0.864 : 307461657.0 2066 0.847 : 307461658.0 2106 0.872 : 307461709.0 2312 0.855 : 307461860.0 2227 0.868 : 307462263.0 2237 0.839 : 307462348.0 2301 0.917 : 307462434.0 2032 0.819 : 307462746.0 2030 0.830 : 307462776.0 2593 0.871 : 307462780.0 2306 0.821 : 307462787.0 2001 0.814 : 307462805.0 2654 0.879 : 307463099.0 2635 0.862 : 307463114.0 3338 0.913 : 307463164.0 2244 0.872 : 307463165.0 2217 0.849 : 307463187.0 2065 0.823 : 307463197.0 2563 0.870 : 307463198.0 2401 0.892 : 307464070.0 2739 0.818 : 307464403.0 2063 0.853 : 307464404.0 2869 0.881 : 307464405.0 2168 0.837 : 307464407.0 2075 0.813 : 307464427.0 2143 0.837 : 307464434.0 2144 0.824 : 307464443.0 2020 0.804 : 307464446.0 2382 0.841 : 307464447.0 2363 0.888 : 307464559.0 2364 0.857 : 307464565.0 2248 0.804 : 307464805.0 2350 0.826 : 307464811.0 2532 0.855 : 307464957.0 2094 0.816 : 307464960.0 2201 0.849 : 307464963.0 2136 0.813 : 307464964.0 2151 0.857 : 307464965.0 2200 0.842 : 307464966.0 2366 0.853 : 307464967.0 2716 0.893 : 307464968.0 2054 0.868 : 307464969.0 2217 0.887 : 307464970.0 2402 0.872 : 307464971.0 2013 0.851 : 307464972.0 2201 0.820 : 307464973.0 2065 0.853 : 307464974.0 2509 0.854 : 307464976.0 2202 0.824 : 307464977.0 2371 0.881 : 307464979.0 2798 0.887 : 307464980.0 2468 0.884 : 307464982.0 2913 0.893 : 307464991.0 2517 0.869 : 307464992.0 2218 0.878 : 307464993.0 2454 0.854 : 307464998.0 2259 0.889 : 307464999.0 2237 0.849 : 307465000.0 2315 0.826 : 307465001.0 2161 0.873 : 307465030.0 2181 0.849 : 307465031.0 2096 0.837 : 307465033.0 2025 0.827 : 307465034.0 2243 0.846 : 307465036.0 2378 0.859 : 307465037.0 2135 0.851 : 307465038.0 2483 0.879 : 307465051.0 2092 0.828 : 307465052.0 2136 0.861 : 307465056.0 2162 0.827 : 307465058.0 2016 0.815 : 307465059.0 2428 0.846 : 307465060.0 2901 0.877 : 307465061.0 2306 0.926 : 307465062.0 2034 0.879 : 307465064.0 2435 0.862 : 307465066.0 2251 0.863 : 307465067.0 2239 0.890 : 307465069.0 2482 0.876 : 307465071.0 2292 0.859 : 307465079.0 2233 0.849 : 307465080.0 2509 0.860 : 307465083.0 2555 0.849 : 307465086.0 2125 0.832 : 307465127.0 2063 0.825 : 307465135.0 2189 0.836 : 307465140.0 2071 0.817 : 307465141.0 2038 0.843 : 307465142.0 2465 0.870 : 307465152.0 2104 0.830 : 307465155.0 3227 0.878 : 307465157.0 2558 0.868 : 307465158.0 2235 0.855 : 307465159.0 2050 0.859 : 307465160.0 2301 0.878 : 307465161.0 2095 0.834 : 307465167.0 2785 0.881 : 307465168.0 2089 0.876 : 307465169.0 2205 0.849 : 307465173.0 2212 0.851 : 307465176.0 2514 0.854 : 307465181.0 2095 0.820 : 307465183.0 2576 0.879 : 307465185.0 2324 0.842 : 307465186.0 2567 0.883 : 307465195.0 2037 0.818 : 307465196.0 2022 0.832 : 307465199.0 2282 0.830 : 307465205.0 2192 0.841 : 307465304.0 2170 0.835 : 307465691.0 2074 0.842 : 307465694.0 2175 0.863 : 307465697.0 2265 0.842 : 307465711.0 2150 0.804 : 307465712.0 3732 0.951 : 307465977.0 2136 0.858 : 307465978.0 2072 0.830 : 307465990.0 2125 0.845 : 307466291.0 2417 0.862 : 307466494.0 2241 0.876 : 307466559.0 2125 0.864 : 307466560.0 4093 0.951 : 307466561.0 2175 0.990 : 307466562.0 2409 0.987 : 307466563.0 2697 0.989 : 307466564.0 2555 0.992 : 307466566.0 2702 0.943 : 307466567.0 2953 0.963 : 307466568.0 2514 0.957 : 307466569.0 2556 0.968 : 307466570.0 2772 0.966 : 307466572.0 2334 0.937 : 307466573.0 2076 0.869 : 307466575.0 2211 0.923 : 307466585.0 2114 0.866 : 307466713.0 2145 0.857 : 307466714.0 3270 0.979 : 307466902.0 2070 0.863 : 307466959.0 2002 0.836 : 307467603.0 2075 0.827 : 307468096.0 2857 0.880 : 307468216.0 2981 0.924 : 307468332.0 2446 0.891 : 307468546.0 2006 0.819 : 307468550.0 3222 0.912 : 307468561.0 2342 0.864 : 307470344.0 2110 0.837 : 307470643.0 2050 0.786 : 307470774.0 2334 0.844 : 307470776.0 2061 0.803 : 307471399.0 2430 0.855 Total number of 1 second bins: 13390 Bins with >0 counts : 12282 Bins with >2000 counts : 350 350 of 350 high count rate bins were dominated by noise Noise dominated 2.61% of total time, 2.85% of detector on time (defined as non-zero counts)