Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 279483928.0 3874 0.954 : 279483929.0 2488 0.939 : 279483930.0 2704 0.958 : 279483931.0 2691 0.960 : 279483932.0 2561 0.958 : 279483933.0 2584 0.943 : 279483934.0 2821 0.955 : 279483935.0 2770 0.964 : 279483936.0 2687 0.959 : 279483937.0 2749 0.959 : 279483938.0 2746 0.962 : 279483939.0 2600 0.955 : 279483940.0 2578 0.961 : 279483941.0 2138 0.957 : 279483942.0 2703 0.946 : 279483943.0 2702 0.969 : 279483944.0 2772 0.969 : 279483945.0 2646 0.963 : 279483946.0 2619 0.963 : 279483947.0 2636 0.957 : 279483948.0 2863 0.968 : 279483949.0 2553 0.967 : 279483950.0 2685 0.968 : 279483951.0 2744 0.968 : 279483952.0 2566 0.953 : 279483953.0 2655 0.967 : 279483954.0 2874 0.976 : 279483955.0 2730 0.964 : 279483956.0 2796 0.967 : 279483957.0 2685 0.956 : 279483958.0 2779 0.967 : 279483959.0 2604 0.945 : 279483960.0 2809 0.968 : 279483961.0 2563 0.963 : 279483962.0 2822 0.966 : 279483963.0 2669 0.965 : 279483964.0 2747 0.961 : 279483965.0 2798 0.967 : 279483966.0 2553 0.956 : 279483967.0 2726 0.965 : 279483968.0 2856 0.970 : 279483969.0 2916 0.963 : 279483970.0 2692 0.959 : 279483971.0 2583 0.961 : 279483972.0 2748 0.965 : 279483973.0 2821 0.963 : 279483974.0 2646 0.964 : 279483975.0 2452 0.953 : 279483976.0 2797 0.971 : 279483977.0 2378 0.970 : 279483978.0 2510 0.965 : 279483979.0 2490 0.967 : 279483980.0 2934 0.982 : 279483981.0 2830 0.973 : 279483982.0 2626 0.962 : 279483983.0 2741 0.960 : 279483984.0 2817 0.969 : 279483985.0 2261 0.946 : 279483986.0 2841 0.958 : 279483988.0 4269 0.961 : 279483989.0 2613 0.966 : 279483990.0 2827 0.964 : 279483991.0 2850 0.971 : 279483992.0 2558 0.957 : 279483993.0 2833 0.968 : 279483994.0 2873 0.980 : 279483995.0 2554 0.969 : 279483996.0 2955 0.978 : 279483997.0 2733 0.963 : 279483998.0 2732 0.973 : 279483999.0 2608 0.961 : 279484000.0 2776 0.970 : 279484001.0 2621 0.959 : 279484002.0 2831 0.976 : 279484003.0 2580 0.970 : 279484004.0 2752 0.969 : 279484005.0 2726 0.975 : 279484006.0 2710 0.970 : 279484007.0 2465 0.969 : 279484008.0 2848 0.969 : 279484009.0 2761 0.981 : 279484010.0 2692 0.969 : 279484011.0 2588 0.973 : 279484012.0 2554 0.977 : 279484013.0 2750 0.971 : 279484014.0 2661 0.972 : 279484015.0 2610 0.970 : 279484016.0 2701 0.961 : 279484017.0 2787 0.963 : 279484018.0 2706 0.965 : 279484019.0 2712 0.977 : 279484020.0 2861 0.976 : 279484021.0 2745 0.980 : 279484022.0 2966 0.975 : 279484023.0 2643 0.969 : 279484024.0 2822 0.974 : 279484025.0 2777 0.964 : 279484026.0 2786 0.969 : 279484027.0 2531 0.970 : 279484028.0 2676 0.977 : 279484029.0 2737 0.966 : 279484030.0 2678 0.971 : 279484031.0 2860 0.977 : 279484032.0 2797 0.966 : 279484033.0 2753 0.975 : 279484034.0 2831 0.976 : 279484035.0 2759 0.979 : 279484036.0 2908 0.977 : 279484037.0 2730 0.968 : 279484038.0 2779 0.971 : 279484039.0 2568 0.978 : 279484040.0 2616 0.964 : 279484041.0 2803 0.970 : 279484042.0 2773 0.977 : 279484043.0 2842 0.980 : 279484044.0 2663 0.962 : 279484045.0 2782 0.972 : 279484046.0 2675 0.976 : 279484047.0 2919 0.977 : 279484048.0 2889 0.974 : 279484049.0 2741 0.967 : 279484050.0 2703 0.971 : 279484051.0 2582 0.969 : 279484052.0 2836 0.975 : 279484053.0 2725 0.966 : 279484054.0 2687 0.972 : 279484055.0 2894 0.982 : 279484056.0 2648 0.972 : 279484057.0 2842 0.977 : 279484058.0 2759 0.974 : 279484059.0 2751 0.970 : 279484060.0 2817 0.964 : 279484061.0 2836 0.976 : 279484062.0 2622 0.964 : 279484063.0 2303 0.966 : 279484064.0 2849 0.979 : 279484065.0 2727 0.966 : 279484066.0 2725 0.969 : 279484067.0 2741 0.981 : 279484068.0 2662 0.968 : 279484069.0 2784 0.968 : 279484070.0 2886 0.976 : 279484071.0 2847 0.970 : 279484072.0 2767 0.968 : 279484073.0 2727 0.966 : 279484074.0 2445 0.961 : 279484075.0 2866 0.971 : 279484076.0 2698 0.973 : 279484077.0 2780 0.976 : 279484078.0 2807 0.985 : 279484079.0 2696 0.979 : 279484080.0 2524 0.973 : 279484081.0 2881 0.975 : 279484082.0 2711 0.973 : 279484083.0 2628 0.970 : 279484084.0 2818 0.972 : 279484085.0 2424 0.965 : 279484086.0 2772 0.981 : 279484088.0 3997 0.962 : 279484089.0 2670 0.975 : 279484090.0 2695 0.957 : 279484091.0 2733 0.962 : 279484092.0 2753 0.964 : 279484093.0 2838 0.966 : 279484094.0 2862 0.977 : 279484096.0 2837 0.965 : 279484097.0 2762 0.970 : 279484098.0 2634 0.965 : 279484099.0 2179 0.957 : 279484100.0 2557 0.961 : 279484101.0 2726 0.979 : 279484102.0 2747 0.968 : 279484103.0 2629 0.965 : 279484104.0 2652 0.973 : 279484105.0 2691 0.978 : 279484106.0 2661 0.978 : 279484107.0 2769 0.981 : 279484108.0 2743 0.983 : 279484109.0 2784 0.980 : 279484110.0 2772 0.975 : 279484724.0 2147 0.784 : 279484745.0 2244 0.857 : 279484749.0 2152 0.784 : 279484872.0 2189 0.824 : 279485213.0 2858 0.849 : 279485214.0 2498 0.907 : 279485903.0 2059 0.790 : 279485920.0 2175 0.818 : 279485961.0 2134 0.813 : 279485964.0 2219 0.766 : 279485991.0 2186 0.819 : 279486005.0 2147 0.827 : 279486013.0 2049 0.804 : 279486019.0 2695 0.880 : 279486020.0 2227 0.866 : 279486021.0 2070 0.855 : 279486022.0 2563 0.858 : 279486024.0 2319 0.876 : 279486025.0 2142 0.846 : 279486061.0 2111 0.816 : 279486064.0 3386 0.897 : 279486067.0 2656 0.896 : 279486069.0 2218 0.824 : 279486074.0 2067 0.805 : 279486076.0 2261 0.855 : 279486078.0 2099 0.839 : 279486080.0 2657 0.861 : 279486081.0 2349 0.879 : 279486082.0 2396 0.859 : 279486085.0 2142 0.802 : 279486086.0 2186 0.850 : 279486088.0 2017 0.791 : 279486089.0 2367 0.838 : 279486092.0 2270 0.830 : 279486094.0 2105 0.828 : 279486098.0 2178 0.825 : 279486099.0 2144 0.868 : 279486100.0 2529 0.888 : 279486101.0 2520 0.893 : 279486103.0 2217 0.868 : 279486104.0 2332 0.858 : 279486106.0 2775 0.888 : 279486107.0 2563 0.909 : 279486108.0 2582 0.912 : 279486109.0 2566 0.892 : 279486110.0 2197 0.923 : 279486112.0 2821 0.880 : 279486115.0 2446 0.880 : 279486116.0 2519 0.914 : 279486117.0 2065 0.895 : 279486118.0 2181 0.892 : 279486119.0 2243 0.881 : 279486120.0 2037 0.853 : 279486121.0 3175 0.922 : 279486122.0 2431 0.932 : 279486123.0 2464 0.913 : 279486125.0 2070 0.818 : 279486127.0 2313 0.842 : 279486128.0 2129 0.871 : 279486129.0 2512 0.875 : 279486130.0 2217 0.862 : 279486131.0 2466 0.835 : 279486132.0 2196 0.876 : 279486134.0 2465 0.861 : 279486136.0 2074 0.860 : 279486137.0 2216 0.862 : 279486138.0 2405 0.857 : 279486140.0 2132 0.870 : 279486142.0 2089 0.830 : 279486144.0 2530 0.858 : 279486147.0 2569 0.888 : 279486148.0 2013 0.866 : 279486149.0 2397 0.884 : 279486150.0 2028 0.868 : 279486151.0 2324 0.861 : 279486152.0 2433 0.873 : 279486153.0 2024 0.848 : 279486154.0 2544 0.864 : 279486155.0 2399 0.891 : 279486156.0 2345 0.891 : 279486157.0 2173 0.889 : 279486158.0 2081 0.886 : 279486159.0 2298 0.890 : 279486160.0 2383 0.909 : 279486161.0 2212 0.862 : 279486162.0 2261 0.883 : 279486163.0 2691 0.896 : 279486164.0 3022 0.916 : 279486165.0 2016 0.902 : 279486166.0 2732 0.911 : 279486167.0 2823 0.919 : 279486168.0 2140 0.907 : 279486169.0 2547 0.918 : 279486170.0 2360 0.931 : 279486171.0 2158 0.912 : 279486172.0 2772 0.911 : 279486173.0 2295 0.912 : 279486175.0 2884 0.883 : 279486176.0 2788 0.897 : 279486177.0 2826 0.893 : 279486178.0 2029 0.898 : 279486179.0 2434 0.879 : 279486180.0 2761 0.941 : 279486181.0 2119 0.903 : 279486183.0 2548 0.887 : 279486184.0 2020 0.889 : 279486185.0 2156 0.858 : 279486186.0 2395 0.854 : 279486188.0 2712 0.887 : 279486189.0 2254 0.893 : 279486190.0 2529 0.907 : 279486191.0 2516 0.899 : 279486192.0 2297 0.903 : 279486193.0 2379 0.888 : 279486194.0 2226 0.883 : 279486195.0 2389 0.900 : 279486247.0 2404 0.854 : 279486248.0 2373 0.871 : 279486250.0 2084 0.824 : 279486251.0 2196 0.829 : 279486267.0 2575 0.858 : 279486268.0 2101 0.895 : 279486269.0 2270 0.883 : 279486270.0 2302 0.907 : 279486272.0 2404 0.852 : 279486273.0 2083 0.864 : 279486274.0 2256 0.866 : 279486275.0 2280 0.871 : 279486276.0 2521 0.883 : 279486277.0 2052 0.866 : 279486278.0 2254 0.855 : 279486279.0 2460 0.885 : 279486280.0 2537 0.908 : 279486281.0 2467 0.879 : 279486282.0 2008 0.878 : 279486283.0 2585 0.889 : 279486284.0 2120 0.850 : 279486285.0 2284 0.868 : 279486286.0 2412 0.857 : 279486288.0 2173 0.857 : 279486289.0 2622 0.873 : 279486294.0 2143 0.835 : 279486295.0 2050 0.812 : 279486296.0 2086 0.837 : 279486298.0 2068 0.818 : 279486324.0 2045 0.791 : 279486325.0 2030 0.849 : 279486326.0 2033 0.808 : 279486328.0 2121 0.782 : 279486332.0 2004 0.802 : 279486333.0 2070 0.850 : 279486337.0 2068 0.838 : 279486338.0 2164 0.840 : 279486342.0 2815 0.865 : 279486343.0 2133 0.875 : 279486344.0 2106 0.892 : 279486345.0 2192 0.886 : 279486346.0 2025 0.856 : 279486347.0 2209 0.855 : 279486348.0 2149 0.844 : 279486349.0 2009 0.858 : 279486350.0 2914 0.895 : 279486353.0 2043 0.825 : 279486358.0 2513 0.872 : 279486359.0 2539 0.876 : 279486360.0 2670 0.907 : 279486362.0 2398 0.894 : 279486363.0 2207 0.891 : 279486364.0 2369 0.877 : 279486367.0 2973 0.913 : 279486368.0 2030 0.909 : 279486369.0 2189 0.864 : 279486370.0 2364 0.908 : 279486371.0 2957 0.911 : 279486372.0 2220 0.912 : 279486373.0 2475 0.882 : 279486374.0 2263 0.902 : 279486375.0 3016 0.920 : 279486376.0 2549 0.928 : 279486377.0 2420 0.900 : 279486378.0 2602 0.936 : 279486379.0 2586 0.914 : 279486380.0 2385 0.914 : 279486381.0 3752 0.954 : 279486383.0 2363 0.913 : 279486384.0 2740 0.924 : 279486385.0 2363 0.921 : 279486386.0 2769 0.912 : 279486388.0 3615 0.935 : 279486390.0 2417 0.851 : 279486391.0 2033 0.853 : 279486392.0 2545 0.859 : 279486393.0 2249 0.869 : 279486395.0 2245 0.847 : 279486403.0 2236 0.839 : 279486404.0 2103 0.809 : 279486425.0 2045 0.811 : 279486429.0 2255 0.859 : 279486430.0 2596 0.889 : 279486433.0 2620 0.865 : 279486436.0 2090 0.809 : 279486438.0 2731 0.866 : 279486440.0 2705 0.892 : 279486442.0 2700 0.868 : 279486444.0 2448 0.893 : 279486446.0 2769 0.897 : 279486447.0 2048 0.901 : 279486448.0 2041 0.841 : 279486449.0 2166 0.841 : 279486450.0 2169 0.840 : 279486451.0 2195 0.869 : 279486452.0 2978 0.878 : 279486453.0 2185 0.870 : 279486454.0 2414 0.871 : 279486455.0 2025 0.854 : 279486456.0 2188 0.856 : 279486457.0 3071 0.894 : 279486458.0 2571 0.917 : 279486459.0 2038 0.917 : 279486460.0 3354 0.918 : 279486461.0 2428 0.902 : 279486463.0 2404 0.916 : 279486464.0 2534 0.905 : 279486474.0 2029 0.842 : 279486477.0 2211 0.854 : 279486483.0 2398 0.842 : 279486484.0 2356 0.882 : 279486485.0 2116 0.858 : 279486486.0 2347 0.845 : 279486489.0 2137 0.811 : 279486491.0 2274 0.831 : 279486492.0 2660 0.878 : 279486496.0 2184 0.829 : 279486497.0 2490 0.869 : 279486498.0 2385 0.910 : 279486499.0 3000 0.910 : 279486502.0 2002 0.833 : 279486504.0 2496 0.853 : 279486505.0 2150 0.819 : 279486506.0 2467 0.871 : 279486507.0 2358 0.863 : 279486508.0 2129 0.880 : 279486509.0 2167 0.861 : 279486603.0 2107 0.855 : 279486604.0 2031 0.812 : 279486688.0 2019 0.851 : 279486735.0 2147 0.834 : 279486749.0 2051 0.825 : 279486769.0 2089 0.820 : 279486773.0 2059 0.824 : 279486775.0 2077 0.844 : 279486776.0 2211 0.840 : 279486778.0 2454 0.860 : 279486780.0 2199 0.862 : 279486788.0 2117 0.834 : 279486789.0 2178 0.851 : 279486790.0 2214 0.870 : 279486791.0 2206 0.821 : 279486793.0 2010 0.843 Total number of 1 second bins: 7830 Bins with >0 counts : 7466 Bins with >2000 counts : 439 439 of 439 high count rate bins were dominated by noise Noise dominated 5.61% of total time, 5.88% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 279480042.0 2206 0.830 : 279480697.0 4260 0.969 : 279480698.0 2539 0.992 : 279480699.0 2434 0.987 : 279480700.0 2259 0.993 : 279480701.0 2134 0.956 : 279480702.0 3015 0.994 : 279480703.0 2528 1.000 : 279480704.0 2424 0.974 : 279480705.0 2494 0.970 : 279480711.0 2972 0.910 : 279480785.0 2495 0.935 : 279480788.0 2153 0.904 : 279480795.0 2041 0.863 : 279484373.0 2317 0.903 : 279484374.0 2833 0.923 : 279484376.0 2780 0.910 : 279484378.0 2794 0.869 : 279484383.0 3166 0.888 : 279484385.0 2052 0.849 : 279484386.0 2957 0.848 : 279484681.0 2039 0.756 : 279485371.0 2245 0.801 : 279485373.0 2136 0.719 Total number of 1 second bins: 7830 Bins with >0 counts : 7466 Bins with >2000 counts : 24 24 of 24 high count rate bins were dominated by noise Noise dominated 0.31% of total time, 0.32% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 279480674.0 2252 0.873 : 279480675.0 2248 0.900 Total number of 1 second bins: 7830 Bins with >0 counts : 7466 Bins with >2000 counts : 2 2 of 2 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) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 279484860.0 3082 0.949 : 279485274.0 2386 0.801 : 279485275.0 2050 0.933 : 279485277.0 2068 0.821 : 279485279.0 2246 0.814 Total number of 1 second bins: 7830 Bins with >0 counts : 7466 Bins with >2000 counts : 5 5 of 5 high count rate bins were dominated by noise Noise dominated 0.06% of total time, 0.07% of detector on time (defined as non-zero counts)