Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 316399222.0 2131 0.826 : 316399224.0 2588 0.817 : 316399225.0 2002 0.861 : 316399226.0 3039 0.891 : 316399227.0 2017 0.844 : 316399229.0 2667 0.875 : 316399231.0 2399 0.834 : 316399232.0 2205 0.845 : 316399233.0 2248 0.871 : 316399234.0 2457 0.884 : 316399235.0 2341 0.831 : 316399239.0 2051 0.839 : 316399240.0 2145 0.815 : 316399241.0 2703 0.863 : 316399243.0 2520 0.858 : 316399244.0 2324 0.829 : 316399245.0 2320 0.877 : 316399246.0 2033 0.848 : 316399248.0 2179 0.815 : 316399249.0 2364 0.819 : 316399251.0 2642 0.876 : 316399267.0 2258 0.841 : 316399272.0 2366 0.842 : 316399274.0 2098 0.820 : 316399278.0 2485 0.908 : 316399283.0 3050 0.874 : 316399284.0 2486 0.907 : 316399285.0 2507 0.877 : 316399286.0 2380 0.866 : 316399287.0 2055 0.885 : 316399288.0 2709 0.881 : 316399290.0 2119 0.855 : 316399291.0 2460 0.889 : 316399292.0 2417 0.885 : 316399295.0 2769 0.868 : 316399296.0 2420 0.894 : 316399298.0 2201 0.834 : 316399299.0 2877 0.885 : 316399300.0 2452 0.876 : 316399302.0 2476 0.837 : 316399303.0 2398 0.838 : 316399304.0 2459 0.866 : 316399305.0 2599 0.885 : 316399306.0 2070 0.892 : 316399307.0 2031 0.860 : 316399308.0 2190 0.862 : 316399309.0 2832 0.879 : 316399310.0 2819 0.905 : 316399311.0 2245 0.888 : 316399312.0 2586 0.911 : 316399314.0 2463 0.884 : 316399315.0 2361 0.890 : 316399316.0 2364 0.892 : 316399318.0 2098 0.836 : 316399320.0 2216 0.832 : 316399322.0 2704 0.871 : 316399323.0 2159 0.864 : 316399330.0 2612 0.878 : 316399331.0 2929 0.888 : 316399332.0 2066 0.887 : 316399333.0 2626 0.914 : 316399334.0 2488 0.904 : 316399335.0 2731 0.902 : 316399336.0 2273 0.857 : 316399337.0 2349 0.875 : 316399340.0 2015 0.818 : 316399343.0 2377 0.859 : 316399345.0 2103 0.835 : 316399346.0 2538 0.864 : 316399347.0 2331 0.866 : 316399348.0 2252 0.862 : 316399349.0 2354 0.847 : 316399350.0 2511 0.866 : 316399351.0 2297 0.885 : 316399352.0 2934 0.870 : 316399355.0 2686 0.866 : 316399356.0 2113 0.873 : 316399357.0 2496 0.841 : 316399358.0 2107 0.872 : 316399359.0 2422 0.853 : 316399360.0 2494 0.866 : 316399361.0 2230 0.865 : 316399367.0 2074 0.829 : 316399368.0 2354 0.837 : 316399369.0 2189 0.868 : 316399370.0 2525 0.875 : 316399376.0 2005 0.768 : 316399378.0 2508 0.859 : 316399380.0 2120 0.847 : 316399381.0 2099 0.821 : 316399383.0 2198 0.844 : 316399384.0 2121 0.800 : 316399388.0 2324 0.850 : 316399389.0 2850 0.873 : 316399390.0 2349 0.850 : 316399392.0 2235 0.854 : 316399396.0 2206 0.843 : 316399399.0 3344 0.913 : 316399400.0 2411 0.908 : 316399401.0 2252 0.883 : 316399404.0 2105 0.830 : 316399407.0 2122 0.823 : 316399408.0 2018 0.808 : 316399412.0 2392 0.857 : 316399413.0 2207 0.856 : 316399439.0 3016 0.917 : 316399440.0 3120 0.926 : 316399441.0 2471 0.928 : 316399442.0 2483 0.896 : 316399443.0 2167 0.907 : 316399444.0 3176 0.929 : 316399445.0 2253 0.903 : 316399446.0 2435 0.911 : 316399447.0 2296 0.890 : 316399448.0 2060 0.895 : 316399450.0 2153 0.805 : 316399451.0 2896 0.921 : 316399453.0 3124 0.915 : 316399455.0 3560 0.931 : 316399456.0 2129 0.921 : 316399457.0 2394 0.889 : 316399459.0 2957 0.906 : 316399460.0 3165 0.919 : 316399462.0 2415 0.885 : 316399463.0 2659 0.911 : 316399464.0 2664 0.930 : 316399465.0 2033 0.889 : 316399466.0 2232 0.882 : 316399468.0 2909 0.898 : 316399469.0 2284 0.908 : 316399470.0 3113 0.918 : 316399472.0 2162 0.898 : 316399473.0 3216 0.933 : 316399475.0 3267 0.917 : 316399476.0 2341 0.906 : 316399477.0 2173 0.912 : 316399478.0 2702 0.905 : 316399480.0 2622 0.879 : 316399488.0 3508 0.901 : 316399493.0 2607 0.844 : 316399494.0 2838 0.937 : 316399496.0 2567 0.898 : 316399497.0 2527 0.917 : 316399499.0 2560 0.891 : 316399502.0 2464 0.882 : 316399503.0 2181 0.870 : 316399508.0 2649 0.864 : 316399513.0 2785 0.862 : 316399514.0 2326 0.893 : 316399515.0 2522 0.900 : 316399517.0 3718 0.908 : 316399519.0 2565 0.857 : 316399523.0 3404 0.920 : 316399524.0 2287 0.883 : 316399525.0 2608 0.904 : 316399526.0 2319 0.880 : 316399527.0 3346 0.935 : 316399528.0 2586 0.926 : 316399529.0 2450 0.925 : 316399531.0 3022 0.898 : 316399533.0 2007 0.844 : 316399535.0 2499 0.861 : 316399553.0 2106 0.791 : 316399560.0 2454 0.861 : 316399564.0 2019 0.793 : 316399565.0 3183 0.912 : 316399566.0 2128 0.895 : 316399567.0 3023 0.906 : 316399570.0 2467 0.837 : 316399571.0 2665 0.908 : 316399572.0 2174 0.902 : 316399574.0 2877 0.869 : 316399575.0 2029 0.894 : 316399576.0 2394 0.869 : 316399577.0 2591 0.884 : 316399578.0 2075 0.867 : 316399579.0 3249 0.937 : 316399581.0 2814 0.907 : 316399583.0 3240 0.914 : 316399584.0 2676 0.935 : 316399585.0 2088 0.895 : 316399586.0 2496 0.908 : 316399587.0 2470 0.916 : 316399588.0 2618 0.901 : 316399589.0 2204 0.918 : 316399590.0 2311 0.900 : 316399591.0 2306 0.863 : 316399592.0 3268 0.911 : 316399593.0 2863 0.942 : 316399594.0 2680 0.957 : 316399614.0 3615 0.943 : 316399615.0 2563 0.950 : 316399678.0 2076 0.836 : 316399679.0 2549 0.858 : 316399693.0 2306 0.827 : 316399709.0 2044 0.832 : 316399711.0 2821 0.879 : 316399712.0 3288 0.926 : 316399713.0 2806 0.911 : 316399723.0 2320 0.844 : 316399749.0 3549 0.900 : 316399752.0 4048 0.909 : 316399753.0 2029 0.902 : 316399754.0 3197 0.909 : 316399757.0 2016 0.798 : 316399758.0 3216 0.913 : 316399759.0 2794 0.926 : 316399760.0 2441 0.936 : 316399764.0 3546 0.922 : 316399766.0 2393 0.880 : 316399767.0 2687 0.873 : 316399769.0 2710 0.853 : 316399770.0 2055 0.901 : 316399773.0 2614 0.881 : 316399774.0 3136 0.916 : 316399776.0 2842 0.868 : 316399777.0 2151 0.883 : 316399778.0 2327 0.850 : 316399779.0 3167 0.921 : 316399780.0 2793 0.938 : 316399781.0 2591 0.929 : 316399783.0 2397 0.890 : 316399784.0 2854 0.871 : 316399785.0 2726 0.943 : 316399787.0 2759 0.897 : 316399788.0 2711 0.923 : 316399789.0 2749 0.938 : 316399792.0 4023 0.923 : 316399793.0 2936 0.949 : 316399795.0 3256 0.926 : 316399796.0 2229 0.945 : 316399797.0 2206 0.924 : 316399798.0 2093 0.900 : 316399799.0 3551 0.939 : 316399801.0 3044 0.891 : 316399802.0 2527 0.925 : 316399803.0 2706 0.934 : 316399804.0 2718 0.952 : 316399805.0 2444 0.930 : 316399806.0 2869 0.942 : 316399807.0 2869 0.961 : 316399809.0 3434 0.908 : 316399810.0 2043 0.932 : 316399811.0 2078 0.873 : 316399812.0 2100 0.875 : 316399813.0 2872 0.897 : 316399814.0 2163 0.872 : 316399815.0 3877 0.935 : 316399816.0 2589 0.944 : 316399817.0 2674 0.946 : 316399818.0 2383 0.934 : 316399819.0 2906 0.953 : 316399820.0 2938 0.957 : 316399821.0 2656 0.954 : 316399822.0 2745 0.961 : 316399823.0 2774 0.949 : 316399824.0 2705 0.939 : 316399825.0 2600 0.947 : 316399826.0 2799 0.958 : 316399995.0 2631 0.870 : 316400043.0 2018 0.830 : 316400044.0 3276 0.956 : 316400046.0 2728 0.910 : 316400145.0 2283 0.862 : 316400146.0 2435 0.888 : 316400152.0 3475 0.909 : 316400166.0 3896 0.941 : 316400620.0 2495 0.878 : 316400622.0 2206 0.833 : 316400707.0 2107 0.862 : 316400708.0 2320 0.844 : 316400739.0 2347 0.856 : 316400740.0 2951 0.946 : 316400743.0 4115 0.935 : 316401218.0 2737 0.872 : 316401454.0 2281 0.857 : 316401480.0 2984 0.919 : 316401482.0 2206 0.872 : 316401484.0 3412 0.895 : 316401487.0 2995 0.883 : 316401489.0 4231 0.937 : 316401490.0 2153 0.915 : 316401492.0 4086 0.925 : 316401493.0 2055 0.920 : 316401495.0 2897 0.880 : 316401497.0 3539 0.912 : 316401500.0 3676 0.940 : 316401501.0 2177 0.922 : 316401503.0 2236 0.890 : 316401504.0 2518 0.896 : 316401505.0 2550 0.864 : 316401506.0 2215 0.844 : 316401507.0 2692 0.875 : 316401509.0 3039 0.893 : 316401510.0 3059 0.925 : 316401511.0 2721 0.949 : 316401512.0 2610 0.943 : 316401513.0 2435 0.932 : 316401526.0 3136 0.893 : 316401528.0 2040 0.839 : 316401530.0 2051 0.841 : 316401531.0 2363 0.869 : 316401532.0 2026 0.850 : 316401542.0 2349 0.870 : 316401544.0 2025 0.831 : 316401545.0 2362 0.877 : 316401549.0 2962 0.890 : 316401552.0 2670 0.909 : 316401553.0 2502 0.930 : 316401554.0 2744 0.940 : 316401556.0 2314 0.891 : 316401558.0 3591 0.910 : 316401559.0 2068 0.876 : 316401560.0 2058 0.906 : 316401561.0 3046 0.921 : 316401583.0 2544 0.850 : 316401584.0 2081 0.862 : 316401591.0 2024 0.833 : 316401592.0 2236 0.851 : 316401601.0 2444 0.871 : 316401602.0 2521 0.886 : 316401603.0 2447 0.882 : 316401604.0 2300 0.894 : 316401605.0 2651 0.892 : 316401606.0 2750 0.889 : 316401608.0 2161 0.850 : 316401609.0 2878 0.884 : 316401614.0 2255 0.854 : 316401617.0 2532 0.875 : 316401622.0 2062 0.864 : 316401632.0 2410 0.880 : 316401639.0 2081 0.832 : 316401641.0 2194 0.836 : 316401642.0 2601 0.887 : 316401643.0 2345 0.890 : 316401646.0 2089 0.856 : 316401647.0 2171 0.825 : 316401648.0 2232 0.861 : 316401650.0 2252 0.858 : 316401651.0 2313 0.854 : 316401657.0 2193 0.841 : 316401658.0 3082 0.897 : 316401659.0 2112 0.849 : 316401661.0 2726 0.882 : 316401662.0 2227 0.872 : 316401664.0 2101 0.840 : 316401665.0 2485 0.880 : 316401667.0 2031 0.832 : 316401851.0 2757 0.892 : 316401854.0 2450 0.842 : 316401856.0 3482 0.897 : 316401865.0 2831 0.894 : 316401867.0 3066 0.892 : 316401868.0 2683 0.949 : 316401874.0 2317 0.859 : 316401875.0 2856 0.877 : 316401876.0 3030 0.920 : 316401877.0 2371 0.920 : 316401881.0 2375 0.854 : 316401883.0 3274 0.903 : 316401885.0 2524 0.857 : 316401895.0 2188 0.844 : 316401896.0 2099 0.841 : 316401908.0 2719 0.881 : 316401909.0 2033 0.829 : 316401911.0 2412 0.874 : 316401912.0 2198 0.853 : 316401917.0 2605 0.861 : 316401918.0 2199 0.935 : 316401919.0 2828 0.917 : 316401986.0 2993 0.871 : 316401996.0 2269 0.848 : 316402059.0 3589 0.901 : 316402060.0 2612 0.933 : 316402061.0 2070 0.917 : 316402062.0 2128 0.869 : 316402070.0 2997 0.892 : 316402083.0 2409 0.859 : 316402084.0 2205 0.824 Total number of 1 second bins: 2918 Bins with >0 counts : 2918 Bins with >2000 counts : 379 379 of 379 high count rate bins were dominated by noise Noise dominated 12.99% of total time, 12.99% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 316399246.0 2141 0.660 : 316399260.0 2034 0.823 : 316399261.0 2482 0.810 : 316399266.0 3290 0.884 : 316399392.0 3713 0.954 : 316399393.0 2252 0.917 : 316399396.0 2455 0.845 : 316399401.0 3006 0.918 : 316399403.0 3566 0.895 : 316399405.0 2550 0.847 : 316399406.0 2287 0.887 : 316399659.0 2349 0.877 : 316399676.0 2107 0.826 : 316399678.0 2302 0.839 : 316399681.0 2427 0.855 : 316399704.0 2153 0.823 : 316399705.0 2269 0.833 : 316399706.0 2940 0.931 : 316399707.0 2812 0.968 : 316399708.0 2489 0.966 : 316399710.0 2773 0.885 : 316399711.0 2556 0.926 : 316399712.0 3070 0.940 : 316399713.0 2343 0.927 : 316399726.0 2161 0.823 : 316399727.0 2994 0.896 : 316399745.0 4422 0.946 : 316399746.0 2665 0.964 : 316399747.0 2781 0.960 : 316399849.0 3256 0.900 : 316399850.0 2699 0.899 : 316399851.0 2138 0.924 : 316399852.0 2081 0.885 : 316399853.0 2016 0.874 : 316399854.0 2648 0.884 : 316399856.0 2277 0.894 : 316399857.0 3191 0.909 : 316399858.0 2048 0.882 : 316399859.0 2368 0.910 : 316399860.0 2564 0.917 : 316399861.0 2023 0.836 : 316399862.0 2161 0.853 : 316399864.0 2903 0.894 : 316399866.0 2583 0.889 : 316399872.0 2570 0.864 : 316399873.0 3054 0.905 : 316399881.0 2800 0.883 : 316399893.0 3011 0.902 : 316399894.0 2929 0.927 : 316399895.0 2318 0.925 : 316399896.0 2961 0.918 : 316399897.0 2460 0.926 : 316399899.0 2626 0.916 : 316399902.0 3361 0.936 : 316399903.0 2454 0.950 : 316399904.0 2741 0.944 : 316399905.0 2378 0.922 : 316399906.0 2625 0.944 : 316399908.0 3109 0.942 : 316399910.0 2337 0.921 : 316399911.0 2341 0.905 : 316399912.0 2488 0.910 : 316399913.0 2296 0.922 : 316399914.0 3097 0.928 : 316399915.0 2061 0.918 : 316399916.0 2681 0.905 : 316399917.0 2993 0.910 : 316399919.0 2679 0.872 : 316399924.0 2216 0.824 : 316399925.0 3513 0.951 : 316399930.0 2338 0.885 : 316399932.0 3345 0.894 : 316399950.0 2031 0.810 : 316399974.0 2783 0.888 : 316399975.0 2728 0.903 : 316399976.0 2581 0.919 : 316399978.0 2888 0.902 : 316399980.0 2956 0.908 : 316399983.0 2711 0.888 : 316399986.0 2072 0.825 : 316399987.0 2654 0.901 : 316399988.0 2813 0.917 : 316399990.0 2581 0.885 : 316399991.0 2726 0.907 : 316399992.0 2448 0.909 : 316399993.0 2040 0.853 : 316399994.0 2315 0.880 : 316399997.0 2791 0.877 : 316400000.0 2128 0.852 : 316400001.0 2168 0.841 : 316400002.0 3199 0.909 : 316400004.0 3067 0.928 : 316400006.0 2802 0.895 : 316400007.0 3165 0.944 : 316400008.0 2249 0.927 : 316400012.0 3245 0.899 : 316400013.0 2085 0.901 : 316400014.0 2186 0.876 : 316400015.0 2587 0.909 : 316400016.0 2252 0.896 : 316400017.0 2167 0.893 : 316400018.0 3632 0.932 : 316400019.0 2440 0.932 : 316400022.0 2009 0.818 : 316400023.0 3697 0.921 : 316400024.0 2678 0.978 : 316400025.0 2757 0.960 : 316400026.0 2697 0.966 : 316400027.0 2692 0.969 : 316400028.0 2916 0.970 : 316400029.0 2795 0.964 : 316400030.0 2765 0.971 : 316400031.0 2735 0.962 : 316400032.0 2671 0.970 : 316400033.0 2815 0.973 : 316400034.0 2865 0.972 : 316400035.0 2803 0.972 : 316400036.0 2787 0.977 : 316400037.0 2280 0.953 : 316400038.0 2618 0.965 : 316400039.0 2860 0.985 : 316400040.0 2822 0.975 : 316400041.0 2831 0.974 : 316400042.0 2677 0.970 : 316400043.0 2849 0.971 : 316400044.0 2572 0.973 : 316400045.0 2828 0.950 : 316400046.0 2655 0.946 : 316400047.0 2075 0.920 : 316400102.0 4332 0.938 Total number of 1 second bins: 2919 Bins with >0 counts : 2919 Bins with >2000 counts : 130 130 of 130 high count rate bins were dominated by noise Noise dominated 4.45% of total time, 4.45% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction Total number of 1 second bins: 2919 Bins with >0 counts : 2919 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 3 : Time totcounts fraction : 316400922.0 2359 0.866 Total number of 1 second bins: 2919 Bins with >0 counts : 2919 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.03% of total time, 0.03% of detector on time (defined as non-zero counts)