Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 201741254.0 2802 0.907 : 201742154.0 2374 0.864 : 201742161.0 2507 0.877 : 201742167.0 2389 0.883 : 201742168.0 2147 0.849 : 201742693.0 2914 0.930 : 201742694.0 2574 0.936 : 201742695.0 2528 0.919 : 201742696.0 2317 0.924 : 201742697.0 2365 0.930 : 201742698.0 2389 0.900 : 201742699.0 2354 0.890 : 201743064.0 2741 0.891 : 201743495.0 2658 0.877 : 201746595.0 2447 0.929 Total number of 1 second bins: 9021 Bins with >0 counts : 8537 Bins with >2000 counts : 15 15 of 15 high count rate bins were dominated by noise Noise dominated 0.17% of total time, 0.18% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 201744153.0 2442 0.877 : 201745505.0 2697 0.884 Total number of 1 second bins: 9021 Bins with >0 counts : 8537 Bins with >2000 counts : 2 2 of 2 high count rate bins were dominated by noise Noise dominated 0.02% of total time, 0.02% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 201738526.0 2459 0.852 : 201738527.0 2381 0.904 : 201738528.0 2508 0.929 : 201738529.0 2569 0.911 : 201738530.0 2349 0.911 : 201738709.0 2173 0.817 : 201741026.0 2018 0.853 : 201741475.0 2177 0.872 : 201741504.0 3176 0.918 : 201741505.0 2498 0.908 : 201741506.0 2271 0.900 : 201741509.0 2862 0.925 : 201741510.0 2852 0.962 : 201741511.0 2744 0.966 : 201741513.0 2707 0.875 : 201741514.0 2397 0.899 : 201741515.0 2841 0.944 : 201741516.0 2573 0.947 : 201741517.0 2535 0.921 : 201741518.0 2739 0.930 : 201741520.0 2387 0.858 : 201741521.0 2675 0.945 : 201741523.0 2673 0.909 : 201741529.0 3043 0.919 : 201741531.0 2273 0.880 : 201741532.0 2397 0.915 : 201741533.0 2736 0.938 : 201741534.0 2684 0.937 : 201741535.0 2803 0.952 : 201741536.0 2217 0.935 : 201741537.0 2705 0.939 : 201741538.0 2607 0.937 : 201741539.0 2263 0.876 : 201741548.0 2517 0.886 : 201741549.0 2525 0.903 : 201741554.0 2369 0.878 : 201741555.0 2581 0.889 : 201741556.0 2326 0.891 : 201741557.0 2393 0.907 : 201741558.0 2416 0.900 : 201741559.0 2618 0.907 : 201741560.0 2797 0.940 : 201741561.0 2666 0.950 : 201741562.0 2782 0.946 : 201741563.0 2598 0.946 : 201741564.0 2278 0.942 : 201741565.0 2785 0.942 : 201741566.0 2561 0.919 : 201741567.0 2645 0.922 : 201741568.0 2392 0.914 : 201741569.0 2598 0.924 : 201741570.0 2769 0.933 : 201741571.0 2802 0.932 : 201741572.0 2609 0.934 : 201741573.0 2718 0.944 : 201741574.0 2453 0.907 : 201741576.0 2506 0.889 : 201741577.0 2156 0.845 : 201741601.0 2366 0.918 : 201741602.0 2886 0.931 : 201741603.0 2735 0.946 : 201741604.0 2384 0.927 : 201741605.0 2394 0.922 : 201741607.0 3281 0.945 : 201741608.0 2718 0.946 : 201741609.0 2432 0.939 : 201741610.0 2867 0.959 : 201741611.0 2703 0.947 : 201741612.0 2655 0.954 : 201741613.0 2038 0.949 : 201741614.0 2653 0.951 : 201741615.0 2807 0.961 : 201741616.0 2817 0.956 : 201741617.0 2391 0.934 : 201741618.0 2792 0.948 : 201741619.0 2439 0.938 : 201741620.0 2633 0.936 : 201741621.0 2707 0.936 : 201741623.0 2883 0.931 : 201741624.0 2560 0.931 : 201741625.0 2358 0.953 : 201741626.0 2706 0.964 : 201741627.0 2501 0.963 : 201741628.0 2828 0.964 : 201741629.0 2724 0.962 : 201741630.0 2618 0.943 : 201741631.0 2580 0.955 : 201741632.0 2719 0.949 : 201741633.0 2776 0.964 : 201741634.0 2861 0.965 : 201741635.0 2707 0.924 : 201741636.0 2623 0.906 : 201741637.0 2722 0.932 : 201741638.0 2707 0.918 : 201741639.0 2441 0.917 : 201741649.0 3116 0.936 : 201741650.0 2820 0.952 : 201741651.0 2712 0.939 : 201741652.0 2784 0.950 : 201741653.0 2244 0.930 : 201741654.0 2559 0.944 : 201741655.0 2672 0.958 : 201741656.0 2527 0.946 : 201741657.0 2732 0.954 : 201741658.0 2478 0.949 : 201741659.0 2718 0.936 : 201741660.0 2527 0.937 : 201741661.0 2588 0.951 : 201741662.0 2456 0.919 : 201741663.0 2618 0.961 : 201741664.0 2826 0.963 : 201741665.0 2895 0.969 : 201741666.0 2809 0.944 : 201741667.0 2763 0.962 : 201741668.0 2836 0.962 : 201741669.0 2705 0.938 : 201741844.0 2193 0.869 : 201741845.0 2181 0.862 : 201742065.0 2216 0.858 : 201742182.0 2264 0.854 : 201742184.0 2275 0.864 : 201742241.0 2059 0.875 : 201742256.0 2769 0.912 : 201742261.0 2194 0.871 : 201742262.0 2846 0.936 : 201742263.0 2568 0.909 : 201742265.0 2280 0.854 : 201742266.0 2433 0.883 : 201742267.0 2560 0.916 : 201742268.0 2586 0.941 : 201742269.0 2390 0.907 : 201742270.0 2125 0.879 : 201742273.0 2197 0.832 : 201742274.0 2637 0.900 : 201742275.0 2402 0.914 : 201742276.0 2708 0.951 : 201742277.0 2731 0.941 : 201742280.0 2740 0.893 : 201742281.0 2295 0.887 : 201742282.0 2767 0.929 : 201742283.0 2664 0.932 : 201742284.0 2075 0.867 : 201742285.0 2950 0.907 : 201742286.0 2657 0.915 : 201742288.0 2248 0.877 : 201742289.0 2300 0.868 : 201742290.0 2125 0.871 : 201742291.0 2433 0.872 : 201742466.0 3475 0.941 : 201742467.0 2636 0.928 : 201742471.0 2006 0.843 : 201742476.0 2146 0.854 : 201742479.0 2437 0.844 : 201742523.0 2245 0.844 : 201742524.0 2389 0.872 : 201742525.0 2916 0.949 : 201742528.0 3173 0.904 : 201742530.0 2341 0.849 : 201742531.0 2182 0.844 : 201742533.0 2296 0.866 : 201742543.0 2033 0.844 : 201742552.0 2584 0.884 : 201742555.0 2329 0.868 : 201742557.0 2526 0.888 : 201742559.0 2126 0.845 : 201742562.0 2242 0.884 : 201743053.0 2056 0.844 : 201743115.0 2056 0.865 : 201743117.0 2335 0.841 : 201743118.0 2451 0.902 : 201743136.0 2821 0.912 : 201743137.0 2259 0.876 : 201743138.0 2494 0.913 : 201743140.0 2362 0.934 : 201743142.0 2276 0.876 : 201743143.0 2247 0.841 : 201743144.0 2209 0.865 : 201743145.0 2847 0.932 : 201743147.0 2277 0.866 : 201743148.0 2280 0.873 : 201743149.0 2478 0.888 : 201743150.0 2229 0.883 : 201743235.0 2984 0.910 : 201744008.0 2079 0.848 : 201744015.0 2123 0.807 : 201744017.0 2830 0.893 : 201744018.0 2201 0.857 : 201744077.0 2206 0.829 : 201744139.0 2431 0.854 : 201744487.0 2016 0.808 : 201744489.0 2374 0.851 : 201744491.0 2617 0.889 : 201745190.0 2778 0.898 : 201745389.0 2063 0.821 : 201745394.0 2698 0.868 : 201745396.0 2117 0.825 : 201745404.0 2477 0.859 : 201745414.0 2303 0.822 : 201745415.0 2144 0.851 : 201745416.0 2375 0.873 : 201745417.0 2546 0.872 : 201745421.0 2495 0.908 : 201745423.0 2040 0.811 : 201745425.0 2472 0.872 : 201745431.0 2344 0.845 : 201745438.0 2217 0.821 : 201745508.0 2125 0.813 : 201745509.0 2180 0.822 : 201745598.0 2161 0.832 : 201745599.0 2115 0.875 : 201745604.0 2089 0.761 : 201745607.0 2464 0.864 : 201745609.0 2320 0.859 : 201745615.0 2044 0.743 : 201745619.0 2086 0.758 : 201745620.0 2492 0.924 : 201745970.0 2118 0.776 : 201745971.0 2015 0.776 : 201745972.0 2142 0.773 : 201745973.0 2301 0.838 : 201745978.0 2402 0.852 : 201745982.0 2570 0.903 : 201745984.0 2062 0.813 : 201745985.0 2014 0.824 : 201745987.0 2392 0.857 : 201745988.0 2345 0.845 : 201745990.0 2364 0.830 : 201745991.0 2129 0.839 : 201745992.0 2088 0.799 : 201746020.0 2477 0.870 : 201746021.0 2340 0.859 : 201746022.0 2063 0.895 : 201746045.0 2383 0.838 : 201746046.0 2167 0.814 : 201746069.0 3036 0.907 : 201746070.0 2409 0.890 : 201746075.0 2536 0.838 : 201746112.0 2122 0.839 : 201746113.0 2498 0.888 : 201746118.0 2631 0.876 : 201746121.0 2510 0.875 : 201746155.0 2308 0.847 : 201746170.0 2251 0.855 : 201746171.0 2304 0.860 : 201746172.0 2071 0.876 : 201746173.0 2168 0.853 : 201746174.0 2627 0.918 : 201746179.0 2356 0.824 : 201746199.0 2164 0.856 : 201746200.0 2622 0.876 : 201746202.0 2740 0.867 : 201746221.0 2243 0.848 : 201746222.0 2294 0.844 : 201746223.0 2550 0.923 : 201746224.0 2683 0.925 : 201746225.0 2669 0.943 : 201746226.0 2673 0.962 : 201746227.0 2740 0.961 : 201746228.0 2707 0.954 : 201746229.0 2841 0.948 : 201746230.0 2469 0.941 : 201746231.0 2029 0.928 : 201746232.0 2563 0.939 : 201746233.0 2510 0.906 : 201746234.0 2737 0.933 : 201746235.0 2898 0.950 : 201746236.0 2222 0.948 : 201746237.0 2460 0.956 : 201746238.0 2656 0.945 : 201746239.0 2276 0.928 : 201746240.0 2615 0.926 : 201746241.0 2147 0.891 : 201746242.0 2488 0.906 : 201746243.0 2591 0.904 : 201746244.0 2490 0.914 : 201746250.0 2567 0.870 : 201746251.0 2343 0.857 : 201746252.0 2204 0.863 : 201746253.0 2165 0.856 : 201746256.0 2324 0.846 : 201746259.0 2061 0.827 : 201746260.0 2255 0.877 : 201746261.0 2304 0.867 : 201746262.0 2115 0.838 : 201746265.0 2474 0.838 : 201746267.0 2761 0.902 : 201746268.0 2537 0.910 : 201746269.0 2392 0.913 : 201746270.0 2689 0.909 : 201746271.0 2671 0.918 : 201746272.0 2672 0.900 : 201746273.0 2465 0.907 : 201746274.0 2463 0.880 : 201746275.0 2410 0.913 : 201746276.0 2467 0.893 : 201746279.0 2347 0.846 : 201746280.0 2991 0.932 : 201746281.0 2188 0.873 : 201746286.0 2218 0.872 : 201746287.0 2602 0.873 : 201746288.0 2595 0.918 : 201746289.0 2317 0.898 : 201746290.0 2204 0.924 : 201746291.0 2720 0.948 : 201746292.0 2508 0.906 : 201746293.0 2551 0.903 : 201746294.0 2618 0.922 : 201746295.0 2681 0.931 : 201746296.0 2294 0.901 : 201746297.0 2820 0.931 : 201746298.0 2427 0.924 : 201746299.0 2775 0.933 : 201746300.0 2503 0.936 : 201746303.0 2273 0.846 : 201746304.0 2647 0.880 : 201746306.0 2840 0.898 : 201746315.0 2289 0.851 : 201746316.0 2449 0.933 : 201746318.0 2284 0.865 : 201746320.0 2844 0.899 : 201746321.0 2674 0.923 : 201746322.0 2868 0.962 : 201746323.0 2646 0.943 : 201746324.0 2756 0.941 : 201746337.0 2269 0.861 : 201746338.0 2232 0.862 : 201746339.0 2391 0.872 : 201746340.0 2122 0.828 : 201746341.0 2283 0.858 : 201746345.0 2028 0.846 : 201746350.0 2473 0.856 : 201746351.0 2414 0.866 : 201746353.0 2420 0.881 : 201746359.0 2866 0.887 : 201746360.0 2106 0.854 : 201746399.0 2148 0.856 : 201746424.0 2076 0.880 : 201746432.0 2732 0.878 : 201746433.0 2211 0.880 : 201746434.0 2227 0.849 : 201746458.0 2815 0.894 : 201746459.0 2276 0.893 : 201746466.0 2144 0.859 : 201746468.0 2148 0.865 : 201746469.0 2048 0.844 : 201746470.0 2694 0.896 : 201746471.0 2822 0.944 : 201746473.0 2123 0.850 : 201746479.0 2377 0.858 : 201746480.0 2139 0.845 : 201746790.0 2288 0.867 : 201746792.0 2288 0.861 : 201746804.0 2459 0.886 : 201746805.0 2298 0.873 : 201746823.0 2147 0.823 : 201746824.0 2105 0.870 : 201746829.0 2168 0.835 : 201746856.0 2546 0.881 : 201746883.0 2511 0.885 : 201746886.0 2225 0.867 : 201746887.0 2596 0.873 : 201746888.0 2072 0.857 : 201746891.0 2226 0.855 : 201746892.0 2143 0.857 : 201746893.0 2021 0.845 : 201746946.0 2232 0.869 : 201746958.0 2027 0.846 : 201747007.0 2213 0.863 : 201747262.0 2373 0.878 : 201747263.0 2074 0.861 : 201747264.0 2028 0.885 : 201747299.0 2062 0.838 : 201747300.0 2072 0.864 : 201747302.0 2029 0.835 : 201747325.0 2578 0.891 : 201747337.0 2846 0.907 : 201747338.0 2125 0.864 : 201747367.0 2114 0.844 : 201747381.0 2961 0.890 : 201747416.0 2786 0.919 : 201747447.0 2097 0.845 : 201747448.0 2687 0.897 : 201747449.0 2657 0.896 : 201747450.0 2463 0.895 : 201747451.0 2081 0.892 : 201747454.0 2417 0.873 : 201747462.0 2620 0.895 : 201747463.0 2722 0.913 : 201747464.0 2708 0.933 Total number of 1 second bins: 9021 Bins with >0 counts : 8537 Bins with >2000 counts : 389 389 of 389 high count rate bins were dominated by noise Noise dominated 4.31% of total time, 4.56% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 201739653.0 2541 0.933 : 201739654.0 2145 0.874 : 201739898.0 2477 0.884 : 201739907.0 2113 0.837 : 201740074.0 3207 0.926 : 201740941.0 2649 0.898 : 201741342.0 2445 0.904 : 201741459.0 2217 0.872 : 201741624.0 2080 0.868 : 201741797.0 2764 0.931 : 201741798.0 2106 0.870 : 201741799.0 2140 0.872 : 201741802.0 3404 0.947 : 201741803.0 2475 0.948 : 201741804.0 2807 0.973 : 201741809.0 2004 0.870 : 201741810.0 3451 0.938 : 201741811.0 2461 0.907 : 201741910.0 2145 0.866 : 201742815.0 2238 0.868 : 201742816.0 2729 0.894 : 201742817.0 2033 0.846 : 201742818.0 2308 0.896 : 201742821.0 2074 0.853 : 201742822.0 2635 0.887 : 201743344.0 2250 0.860 : 201743345.0 2330 0.921 : 201744408.0 2002 0.786 : 201744413.0 3222 0.930 : 201744453.0 2668 0.872 : 201744524.0 2070 0.840 : 201745502.0 2280 0.936 : 201745505.0 2202 0.944 : 201746089.0 2947 0.950 : 201746775.0 2519 0.919 : 201746776.0 2603 0.961 : 201746841.0 2502 0.881 : 201746842.0 2818 0.895 Total number of 1 second bins: 9021 Bins with >0 counts : 8537 Bins with >2000 counts : 38 38 of 38 high count rate bins were dominated by noise Noise dominated 0.42% of total time, 0.45% of detector on time (defined as non-zero counts)