Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 426303756.0 2325 0.858 : 426303757.0 2597 0.858 : 426310026.0 2531 0.855 : 426310027.0 2277 0.856 Total number of 1 second bins: 7089 Bins with >0 counts : 4967 Bins with >2000 counts : 4 4 of 4 high count rate bins were dominated by noise Noise dominated 0.06% of total time, 0.08% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 426304186.0 2089 0.791 : 426306382.0 2944 0.886 : 426306383.0 2391 0.908 : 426306384.0 2509 0.923 : 426306385.0 2393 0.935 : 426306386.0 2424 0.912 : 426306387.0 2352 0.930 : 426306388.0 2368 0.914 : 426306389.0 2492 0.929 : 426306390.0 2238 0.907 : 426306391.0 2543 0.938 : 426306392.0 2509 0.926 : 426306393.0 2519 0.927 : 426306394.0 2366 0.929 : 426306395.0 2861 0.923 : 426306396.0 2639 0.933 : 426306397.0 2481 0.920 : 426306398.0 2659 0.938 : 426306399.0 2473 0.915 : 426306400.0 2413 0.934 : 426306401.0 2438 0.930 : 426306402.0 2749 0.933 : 426306403.0 2535 0.955 : 426306404.0 2465 0.932 : 426306405.0 2325 0.904 : 426306407.0 2910 0.926 : 426306408.0 2446 0.947 : 426306409.0 2653 0.931 : 426306410.0 2747 0.925 : 426306411.0 2539 0.902 : 426306412.0 2386 0.931 : 426306413.0 2567 0.935 : 426306414.0 2431 0.930 : 426306415.0 2319 0.925 : 426306416.0 2569 0.937 : 426306417.0 2513 0.946 : 426306418.0 2525 0.917 : 426306419.0 2607 0.929 : 426306420.0 2065 0.927 : 426306421.0 2611 0.921 : 426306422.0 2634 0.922 : 426306423.0 2482 0.925 : 426306424.0 2197 0.931 : 426306425.0 2183 0.905 : 426306426.0 2148 0.917 : 426306427.0 2842 0.929 : 426306428.0 2439 0.920 : 426306429.0 2523 0.929 : 426306430.0 2582 0.938 : 426306431.0 2207 0.938 : 426306432.0 2710 0.923 : 426306433.0 2475 0.925 : 426306434.0 2673 0.935 : 426306435.0 2515 0.934 : 426306436.0 2571 0.920 : 426306437.0 2341 0.934 : 426306438.0 2402 0.899 : 426306439.0 2501 0.914 : 426306440.0 2638 0.914 : 426306441.0 2591 0.909 : 426306442.0 2431 0.922 : 426306443.0 2392 0.916 : 426306444.0 2670 0.917 : 426306445.0 2616 0.914 : 426306447.0 2799 0.926 : 426306448.0 2480 0.934 : 426306449.0 2521 0.930 : 426306450.0 2738 0.924 : 426306451.0 2619 0.922 : 426306452.0 2511 0.946 : 426306453.0 2464 0.915 : 426306454.0 2386 0.918 : 426306455.0 2390 0.929 : 426306456.0 2420 0.918 : 426306457.0 2253 0.906 : 426306458.0 2467 0.915 : 426306459.0 2638 0.925 : 426306460.0 2495 0.933 : 426306461.0 2529 0.933 : 426306462.0 2592 0.934 : 426306463.0 2547 0.919 : 426306464.0 2251 0.929 : 426306465.0 2638 0.920 : 426306466.0 2161 0.904 : 426306876.0 2448 0.859 : 426307121.0 2530 0.849 : 426307176.0 2151 0.833 : 426307177.0 2285 0.894 : 426310026.0 2220 0.829 Total number of 1 second bins: 7089 Bins with >0 counts : 4967 Bins with >2000 counts : 89 89 of 89 high count rate bins were dominated by noise Noise dominated 1.26% of total time, 1.79% 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: 7089 Bins with >0 counts : 4967 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 : 426303766.0 2034 0.807 : 426303770.0 2274 0.831 : 426303797.0 2184 0.948 : 426303799.0 2354 0.816 : 426303801.0 4050 0.928 : 426303876.0 2594 0.887 : 426303877.0 2323 0.854 : 426303885.0 2389 0.893 : 426303888.0 2779 0.881 : 426303889.0 2093 0.840 : 426303890.0 2396 0.869 : 426303891.0 2762 0.878 : 426303892.0 2034 0.809 : 426303893.0 2143 0.889 : 426303894.0 2640 0.890 : 426303896.0 2164 0.829 : 426303897.0 2559 0.884 : 426303927.0 2892 0.873 : 426303945.0 2067 0.815 : 426303953.0 2760 0.884 : 426303977.0 2168 0.844 : 426304011.0 2885 0.930 : 426304037.0 2139 0.842 : 426304055.0 2119 0.828 : 426304058.0 3073 0.911 : 426304065.0 3418 0.951 : 426304082.0 2738 0.860 : 426304083.0 2439 0.913 : 426304085.0 2059 0.826 : 426304086.0 2410 0.879 : 426304092.0 3870 0.939 : 426304093.0 2163 0.962 : 426304095.0 2653 0.861 : 426304096.0 3330 0.948 : 426304097.0 2241 0.956 : 426304100.0 3857 0.962 : 426304101.0 2202 0.934 : 426304102.0 2735 0.947 : 426304104.0 3530 0.944 : 426304105.0 3606 0.977 : 426304107.0 3969 0.969 : 426304109.0 2812 0.948 : 426304110.0 3349 0.953 : 426304112.0 2665 0.930 : 426304113.0 3039 0.947 : 426304115.0 3669 0.943 : 426304117.0 2292 0.870 : 426304119.0 2736 0.899 : 426304120.0 2945 0.917 : 426304121.0 2203 0.928 : 426304122.0 2315 0.953 : 426304123.0 2538 0.924 : 426304124.0 2343 0.959 : 426304125.0 2435 0.932 : 426304126.0 2117 0.893 : 426304127.0 2491 0.900 : 426304129.0 3145 0.942 : 426304130.0 2904 0.946 : 426304131.0 2729 0.963 : 426304133.0 2291 0.887 : 426304134.0 2429 0.879 : 426304135.0 2974 0.901 : 426304137.0 2013 0.889 : 426304138.0 2535 0.843 : 426304139.0 3150 0.926 : 426304141.0 3323 0.945 : 426304142.0 2112 0.946 : 426304143.0 2598 0.949 : 426304145.0 2998 0.884 : 426304146.0 2632 0.921 : 426304147.0 3379 0.962 : 426304149.0 2271 0.931 : 426304150.0 3264 0.951 : 426304152.0 2808 0.932 : 426304154.0 3504 0.957 : 426304155.0 2145 0.950 : 426304156.0 2465 0.908 : 426304158.0 3270 0.946 : 426304159.0 3255 0.931 : 426304160.0 2654 0.984 : 426304161.0 2401 0.969 : 426304163.0 3003 0.963 : 426304166.0 2914 0.909 : 426304167.0 2502 0.892 : 426304168.0 2432 0.924 : 426304169.0 3041 0.964 : 426304170.0 3287 0.975 : 426304171.0 2162 0.965 : 426304173.0 3772 0.964 : 426304175.0 2317 0.926 : 426304176.0 3707 0.955 : 426304177.0 2720 0.964 : 426304179.0 2272 0.947 : 426304180.0 2823 0.962 : 426304181.0 2517 0.954 : 426304183.0 2846 0.939 : 426304184.0 2655 0.950 : 426304185.0 2214 0.927 : 426304186.0 2914 0.946 : 426304187.0 2024 0.952 : 426304188.0 2338 0.949 : 426304190.0 2024 0.842 : 426304191.0 2318 0.872 : 426304194.0 4083 0.940 : 426304198.0 2753 0.895 : 426304200.0 2414 0.858 : 426304202.0 2471 0.933 : 426304203.0 3122 0.906 : 426304204.0 2555 0.930 : 426304205.0 2179 0.951 : 426304207.0 2747 0.909 : 426304211.0 2354 0.870 : 426304215.0 2279 0.860 : 426304219.0 2435 0.871 : 426304220.0 3322 0.940 : 426304222.0 2646 0.912 : 426304223.0 3139 0.925 : 426304247.0 2013 0.811 : 426304290.0 2135 0.835 : 426304295.0 2515 0.877 : 426304310.0 2973 0.880 : 426304333.0 2020 0.816 : 426304334.0 3879 0.932 : 426304340.0 2155 0.819 : 426304341.0 2648 0.983 : 426304342.0 3188 0.950 : 426304344.0 2977 0.910 : 426304346.0 2482 0.874 : 426304368.0 2313 0.865 : 426304373.0 2088 0.847 : 426304374.0 3688 0.914 : 426304375.0 2775 0.957 : 426304376.0 2101 0.948 : 426304377.0 2397 0.922 : 426304378.0 2642 0.900 : 426304379.0 2697 0.927 : 426304380.0 2426 0.929 : 426304381.0 3212 0.946 : 426304382.0 3378 0.957 : 426304383.0 2193 0.958 : 426304384.0 2515 0.952 : 426304385.0 2491 0.929 : 426304386.0 3071 0.960 : 426304387.0 2635 0.964 : 426304388.0 2885 0.980 : 426304389.0 2834 0.976 : 426304390.0 2058 0.956 : 426304391.0 3110 0.953 : 426304392.0 2897 0.959 : 426304393.0 2666 0.961 : 426304409.0 2215 0.854 : 426304428.0 3705 0.923 : 426304429.0 2781 0.962 : 426304430.0 2778 0.958 : 426304431.0 2275 0.959 : 426304434.0 2018 0.818 : 426304439.0 4166 0.924 : 426304440.0 2358 0.972 : 426304441.0 2424 0.946 : 426304442.0 2312 0.914 : 426304443.0 2753 0.935 : 426304444.0 2843 0.945 : 426304445.0 2258 0.922 : 426304446.0 2767 0.938 : 426304447.0 2345 0.909 : 426304448.0 3154 0.935 : 426304449.0 2447 0.947 : 426304450.0 3412 0.967 : 426304451.0 2509 0.981 : 426304452.0 2186 0.967 : 426304453.0 2474 0.946 : 426304454.0 2312 0.948 : 426304455.0 2914 0.938 : 426304456.0 3299 0.966 : 426304457.0 2279 0.934 : 426304458.0 3805 0.971 : 426304459.0 2392 0.976 : 426304461.0 2260 0.857 : 426304462.0 2287 0.892 : 426304463.0 2357 0.902 : 426304464.0 2170 0.886 : 426304465.0 2516 0.856 : 426304466.0 2113 0.863 : 426304469.0 2731 0.914 : 426304475.0 2936 0.887 : 426304477.0 2719 0.889 : 426304478.0 2454 0.922 : 426304483.0 2498 0.854 : 426304486.0 4193 0.951 : 426304487.0 2499 0.974 : 426304489.0 3150 0.958 : 426304490.0 3011 0.978 : 426304492.0 2029 0.952 : 426304493.0 2616 0.940 : 426304494.0 2362 0.953 : 426304495.0 2715 0.921 : 426304496.0 2135 0.895 : 426304504.0 3212 0.923 : 426304505.0 2144 0.935 : 426304507.0 3192 0.927 : 426304508.0 2367 0.909 : 426304509.0 2250 0.885 : 426304511.0 2119 0.834 : 426304512.0 2474 0.866 : 426304513.0 2061 0.868 : 426304515.0 2130 0.805 : 426304516.0 2040 0.871 : 426304517.0 2367 0.873 : 426304518.0 2172 0.884 : 426304519.0 2491 0.878 : 426304520.0 2135 0.902 : 426304526.0 2287 0.847 : 426304527.0 2432 0.842 : 426304528.0 2782 0.922 : 426304529.0 2676 0.913 : 426304530.0 2149 0.895 : 426304546.0 2500 0.880 : 426304547.0 2711 0.879 : 426304549.0 2502 0.858 : 426304552.0 3007 0.926 : 426304553.0 2593 0.951 : 426304559.0 3232 0.899 : 426304570.0 2748 0.910 : 426304571.0 2226 0.901 : 426304572.0 2912 0.905 : 426304574.0 2818 0.919 : 426304575.0 2618 0.923 : 426304576.0 2476 0.890 : 426304577.0 2630 0.935 : 426304578.0 2629 0.910 : 426304579.0 2300 0.901 : 426304580.0 2515 0.872 : 426304581.0 2508 0.882 : 426304582.0 2067 0.895 : 426304583.0 3036 0.892 : 426304585.0 2270 0.881 : 426304586.0 2585 0.899 : 426304587.0 2033 0.857 : 426304588.0 2274 0.839 : 426304590.0 2439 0.892 : 426304592.0 2640 0.873 : 426304593.0 2386 0.891 : 426304594.0 2100 0.869 : 426304595.0 2325 0.898 : 426304604.0 2985 0.918 : 426304605.0 2186 0.900 : 426304607.0 2876 0.904 : 426304611.0 2074 0.839 : 426304612.0 2666 0.894 : 426304613.0 2905 0.930 : 426304614.0 2837 0.940 : 426304636.0 2022 0.817 : 426304638.0 2115 0.916 : 426304681.0 2587 0.928 : 426304686.0 2731 0.863 : 426304691.0 3069 0.908 : 426304693.0 2034 0.929 : 426304694.0 2662 0.922 : 426304695.0 2668 0.939 : 426304697.0 3074 0.924 : 426304699.0 2538 0.872 : 426304700.0 2403 0.901 : 426304701.0 2172 0.899 : 426304702.0 2268 0.924 : 426304703.0 3450 0.910 : 426304709.0 2930 0.899 : 426304711.0 3075 0.927 : 426304712.0 2475 0.962 : 426304721.0 2825 0.883 : 426304724.0 2232 0.905 : 426304725.0 2317 0.899 : 426304727.0 3030 0.917 : 426304728.0 2810 0.904 : 426304729.0 2751 0.931 : 426304730.0 2186 0.937 : 426304733.0 2841 0.901 : 426304735.0 2692 0.918 : 426304737.0 2157 0.831 : 426304746.0 2016 0.845 : 426304762.0 2140 0.850 : 426304763.0 2675 0.913 : 426304764.0 2570 0.921 : 426304765.0 2085 0.907 : 426304766.0 2688 0.901 : 426304767.0 2094 0.896 : 426304769.0 2760 0.901 : 426304770.0 2227 0.923 : 426304772.0 2690 0.881 : 426304774.0 2527 0.898 : 426304775.0 2335 0.882 : 426304776.0 2441 0.926 : 426304777.0 2060 0.887 : 426304778.0 2553 0.940 : 426304779.0 2510 0.915 : 426304781.0 2940 0.926 : 426304782.0 2388 0.937 : 426304783.0 2707 0.916 : 426304784.0 2493 0.923 : 426304786.0 3407 0.919 : 426304788.0 2202 0.872 : 426304789.0 2447 0.928 : 426304790.0 2589 0.950 : 426304791.0 2335 0.945 : 426304792.0 2756 0.963 : 426304793.0 2508 0.937 : 426304794.0 2470 0.939 : 426304795.0 2309 0.941 : 426304796.0 2790 0.938 : 426304799.0 2430 0.867 : 426304800.0 2505 0.905 : 426304802.0 2226 0.860 : 426304803.0 2888 0.922 : 426304804.0 2943 0.948 : 426304805.0 2458 0.948 : 426304807.0 3702 0.940 : 426304809.0 2022 0.939 : 426304810.0 2262 0.844 : 426304811.0 2218 0.847 : 426304812.0 2050 0.913 : 426304813.0 2309 0.867 : 426304814.0 2112 0.870 : 426304815.0 2995 0.909 : 426304816.0 2852 0.952 : 426304817.0 2805 0.965 : 426304818.0 2595 0.948 : 426304820.0 2264 0.932 : 426304821.0 3481 0.964 : 426304823.0 2777 0.920 : 426304825.0 3498 0.943 : 426304827.0 2998 0.939 : 426304828.0 2245 0.945 : 426304829.0 2480 0.912 : 426304830.0 2547 0.942 : 426304831.0 2672 0.957 : 426304833.0 3504 0.957 : 426304834.0 2443 0.955 : 426304835.0 2365 0.958 : 426304836.0 2537 0.938 : 426304837.0 2400 0.963 : 426304838.0 2674 0.958 : 426304839.0 2921 0.963 : 426304840.0 2828 0.965 : 426304841.0 2023 0.957 : 426304842.0 2614 0.960 : 426304843.0 2045 0.946 : 426304844.0 2278 0.878 : 426304845.0 3328 0.942 : 426304847.0 3161 0.910 : 426304848.0 3212 0.945 : 426304849.0 2518 0.963 : 426304851.0 2244 0.897 : 426304853.0 2735 0.889 : 426304859.0 3306 0.923 : 426304862.0 3302 0.948 : 426304863.0 2696 0.961 : 426304869.0 2094 0.847 : 426304870.0 2063 0.838 : 426304871.0 2649 0.929 : 426304872.0 2106 0.855 : 426304874.0 2438 0.869 : 426304875.0 2339 0.897 : 426304877.0 2673 0.948 : 426304879.0 3132 0.928 : 426304880.0 2089 0.925 : 426304881.0 2081 0.914 : 426304882.0 2759 0.915 : 426304884.0 2660 0.934 : 426304885.0 2212 0.907 : 426304886.0 2341 0.923 : 426304887.0 2473 0.924 : 426304888.0 2289 0.927 : 426304889.0 2739 0.912 : 426304891.0 2880 0.935 : 426304892.0 2926 0.937 : 426304894.0 2208 0.903 : 426304895.0 2283 0.901 : 426304896.0 2122 0.836 : 426304897.0 2362 0.893 : 426304898.0 2483 0.935 : 426304899.0 2275 0.916 : 426304900.0 2737 0.931 : 426304902.0 2420 0.882 : 426304903.0 2153 0.864 : 426304904.0 2582 0.902 : 426304905.0 2246 0.863 : 426304907.0 2690 0.884 : 426304908.0 2028 0.850 : 426304909.0 2570 0.869 : 426304910.0 2472 0.907 : 426304913.0 2545 0.892 : 426304914.0 2356 0.915 : 426304915.0 2198 0.879 : 426304916.0 2348 0.887 : 426304919.0 2702 0.896 : 426304922.0 2038 0.840 : 426304926.0 2079 0.846 : 426304927.0 2848 0.909 : 426304932.0 2184 0.859 : 426304934.0 2835 0.888 : 426304938.0 2131 0.860 : 426304939.0 2552 0.892 : 426304940.0 2916 0.899 : 426304942.0 2546 0.888 : 426304945.0 2296 0.863 : 426304950.0 2053 0.844 : 426304956.0 2241 0.856 : 426304958.0 2211 0.825 : 426304960.0 2069 0.899 : 426304961.0 2082 0.855 : 426304963.0 2543 0.865 : 426305019.0 2341 0.848 : 426305022.0 2520 0.896 : 426305023.0 2451 0.900 : 426305024.0 2443 0.898 : 426305025.0 2216 0.856 : 426305027.0 2431 0.873 : 426305028.0 2047 0.830 : 426305029.0 2239 0.864 : 426305030.0 2622 0.891 : 426305032.0 2870 0.905 : 426305034.0 2567 0.905 : 426305035.0 2215 0.865 : 426305036.0 2087 0.890 : 426305037.0 2069 0.859 : 426305040.0 2653 0.904 : 426305041.0 2010 0.896 : 426305044.0 2356 0.879 : 426305045.0 2599 0.923 : 426305046.0 2498 0.960 : 426305047.0 2435 0.908 : 426305048.0 2469 0.898 : 426305049.0 2067 0.867 : 426305050.0 2385 0.881 : 426305052.0 2677 0.868 : 426305055.0 2744 0.895 : 426305057.0 2508 0.882 : 426305058.0 2598 0.922 : 426305060.0 2330 0.891 : 426305061.0 2257 0.859 : 426305062.0 2515 0.888 : 426305063.0 2006 0.867 : 426305066.0 2432 0.928 : 426305067.0 2012 0.867 : 426305071.0 2069 0.891 : 426305073.0 2008 0.837 : 426305074.0 2414 0.867 : 426305075.0 2277 0.863 : 426305076.0 2224 0.851 : 426305077.0 2210 0.926 : 426305078.0 2468 0.939 : 426305079.0 2267 0.863 : 426305082.0 2157 0.857 : 426305085.0 2376 0.907 : 426305086.0 2339 0.905 : 426305087.0 2187 0.859 : 426305089.0 2679 0.886 : 426305090.0 2221 0.884 : 426305091.0 2046 0.861 : 426305092.0 2034 0.834 : 426305093.0 2846 0.911 : 426305094.0 2003 0.921 : 426305095.0 2165 0.900 : 426305127.0 2048 0.834 : 426305130.0 2016 0.854 : 426305132.0 2433 0.870 : 426305133.0 2087 0.916 : 426305135.0 2686 0.872 : 426305136.0 2075 0.870 : 426305138.0 2565 0.909 : 426305140.0 2717 0.907 : 426305141.0 2319 0.861 : 426305146.0 2614 0.909 : 426305147.0 2145 0.884 : 426305148.0 2761 0.913 : 426305149.0 2834 0.938 : 426305150.0 2653 0.933 : 426305151.0 2438 0.900 : 426305152.0 2508 0.914 : 426305153.0 2631 0.938 : 426305154.0 2736 0.931 : 426305156.0 2504 0.878 : 426305157.0 2855 0.904 : 426305158.0 2088 0.927 : 426305159.0 2529 0.902 : 426305160.0 2100 0.888 : 426305161.0 2055 0.875 : 426305178.0 2521 0.907 : 426305179.0 2506 0.936 : 426305183.0 2731 0.902 : 426305184.0 2123 0.885 : 426305185.0 2857 0.922 : 426305186.0 2440 0.939 : 426305187.0 2199 0.940 : 426305189.0 2636 0.875 : 426305190.0 2339 0.896 : 426305192.0 3148 0.923 : 426305193.0 2137 0.910 : 426305194.0 2866 0.934 : 426305198.0 2327 0.906 : 426305207.0 3038 0.907 : 426305210.0 2737 0.880 : 426305212.0 2373 0.892 : 426305213.0 2106 0.860 : 426305214.0 2703 0.916 : 426305215.0 2159 0.918 : 426305216.0 2817 0.922 : 426305217.0 2057 0.930 : 426305219.0 2276 0.875 : 426305220.0 2511 0.908 : 426305223.0 3692 0.947 : 426305224.0 2796 0.948 : 426305225.0 2860 0.978 : 426305226.0 2118 0.962 : 426305228.0 2834 0.936 : 426305229.0 2844 0.973 : 426305230.0 2400 0.946 : 426305231.0 3115 0.971 : 426305233.0 2490 0.966 : 426305234.0 2309 0.945 : 426305235.0 3542 0.974 : 426305237.0 2858 0.975 : 426305238.0 2247 0.963 : 426305240.0 4141 0.984 : 426305241.0 2786 0.991 : 426305243.0 2146 0.967 : 426305244.0 3004 0.952 : 426305245.0 2298 0.993 : 426305246.0 2733 0.979 : 426305247.0 2032 0.977 : 426305248.0 2185 0.972 : 426305249.0 2643 0.974 : 426305250.0 2073 0.976 : 426305251.0 2007 0.960 : 426305252.0 2314 0.952 : 426305253.0 2929 0.974 : 426305254.0 2861 0.986 : 426305255.0 2841 0.974 : 426305302.0 2110 0.872 : 426305303.0 3098 0.919 : 426305304.0 2492 0.927 : 426305305.0 2329 0.955 : 426305307.0 2375 0.867 : 426305318.0 2278 0.853 : 426305733.0 2014 0.832 : 426305734.0 2256 0.867 : 426305736.0 2071 0.843 : 426305926.0 2092 0.916 : 426305944.0 2065 0.852 : 426305945.0 2869 0.916 : 426305961.0 2479 0.853 : 426305962.0 2549 0.882 : 426305963.0 4425 0.957 : 426305964.0 2626 0.985 : 426305965.0 3006 0.986 : 426305966.0 2706 0.989 : 426305968.0 3459 0.959 : 426305976.0 3337 0.895 : 426305977.0 2772 0.973 : 426305989.0 2159 0.860 : 426305994.0 2295 0.844 : 426306046.0 2627 0.878 : 426306047.0 2317 0.854 : 426306048.0 2934 0.943 : 426306077.0 3640 0.915 : 426306078.0 2075 0.958 : 426306079.0 2874 0.966 : 426306080.0 2832 0.947 : 426306081.0 2845 0.985 : 426306083.0 2186 0.909 : 426306084.0 2749 0.944 : 426306085.0 2117 0.941 : 426306109.0 2729 0.940 : 426306119.0 2812 0.890 : 426306121.0 2290 0.884 : 426306122.0 2049 0.864 : 426306123.0 2002 0.853 : 426306124.0 2529 0.865 : 426306125.0 2297 0.912 : 426306126.0 3733 0.954 : 426306128.0 2446 0.904 : 426306158.0 2485 0.891 : 426306159.0 2494 0.923 : 426306195.0 2676 0.878 : 426306197.0 2531 0.894 : 426306856.0 2823 0.904 : 426306959.0 2464 0.887 : 426306995.0 2264 0.860 : 426306996.0 2209 0.835 : 426306997.0 2629 0.892 : 426306998.0 3240 0.921 : 426306999.0 2553 0.944 : 426307002.0 2186 0.846 : 426307517.0 2072 0.834 : 426307524.0 2042 0.810 : 426307532.0 2374 0.870 : 426307553.0 2845 0.866 : 426307554.0 2940 0.962 : 426307555.0 2058 0.970 : 426307556.0 3742 0.950 : 426307558.0 2358 0.936 : 426307559.0 3216 0.950 : 426307560.0 3701 0.984 : 426307561.0 3053 0.988 : 426307562.0 2709 0.993 : 426307662.0 2033 0.845 : 426307670.0 2097 0.839 : 426307879.0 2455 0.895 : 426307880.0 2091 0.909 : 426307881.0 2114 0.906 : 426307885.0 2012 0.854 : 426307896.0 2135 0.822 : 426310026.0 2037 0.818 : 426310027.0 2264 0.848 : 426310112.0 4056 0.942 : 426310127.0 3035 0.931 : 426310128.0 3290 0.883 : 426310129.0 2521 0.951 : 426310130.0 3179 0.968 : 426310131.0 2075 0.962 : 426310135.0 2050 0.848 : 426310136.0 2719 0.872 : 426310137.0 2637 0.913 : 426310138.0 2062 0.829 : 426310141.0 2600 0.865 : 426310142.0 2339 0.918 : 426310143.0 3032 0.914 : 426310144.0 2812 0.936 : 426310145.0 3239 0.951 : 426310147.0 2107 0.831 : 426310148.0 3148 0.904 : 426310149.0 2320 0.923 : 426310150.0 2203 0.870 : 426310151.0 2034 0.871 : 426310152.0 2783 0.889 : 426310153.0 2320 0.944 : 426310158.0 2777 0.882 : 426310159.0 2075 0.873 : 426310161.0 3132 0.942 : 426310165.0 3190 0.905 : 426310180.0 2316 0.853 : 426310181.0 2109 0.867 : 426310182.0 3232 0.917 : 426310183.0 2886 0.948 : 426310185.0 3248 0.920 : 426310187.0 2393 0.906 : 426310189.0 2240 0.891 : 426310191.0 2335 0.836 : 426310193.0 2621 0.862 : 426310194.0 2780 0.929 : 426310195.0 3219 0.952 : 426310199.0 3235 0.895 : 426310203.0 4235 0.924 : 426310424.0 2909 0.911 : 426310425.0 2119 0.895 : 426310815.0 2232 0.912 : 426310816.0 3348 0.964 Total number of 1 second bins: 7089 Bins with >0 counts : 4967 Bins with >2000 counts : 656 656 of 656 high count rate bins were dominated by noise Noise dominated 9.25% of total time, 13.21% of detector on time (defined as non-zero counts)