Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 273795095.0 4676 0.935 : 273795096.0 2784 0.969 : 273795097.0 2656 0.980 : 273795098.0 2689 0.985 : 273795099.0 2901 0.984 : 273795100.0 2789 0.978 : 273795101.0 2797 0.980 : 273795102.0 2595 0.976 : 273795103.0 2803 0.979 : 273795104.0 2824 0.993 : 273795105.0 2670 0.987 : 273795106.0 2734 1.000 : 273795111.0 4785 0.964 : 273795112.0 2903 0.982 : 273795113.0 2557 0.969 : 273795115.0 4959 0.984 : 273795116.0 2805 0.989 : 273795117.0 2864 0.985 : 273795118.0 2710 0.972 : 273795119.0 2920 0.980 : 273795120.0 2695 0.973 : 273795121.0 2839 0.980 : 273795122.0 2806 0.987 : 273795123.0 2705 0.973 : 273795124.0 2906 0.982 : 273795125.0 2579 0.991 : 273795126.0 2732 0.966 : 273795127.0 2832 0.961 : 273795128.0 2695 0.972 : 273795129.0 2978 0.986 : 273795130.0 2881 0.970 : 273795131.0 2673 0.972 : 273795132.0 2916 0.982 : 273795133.0 2825 0.976 : 273795134.0 2842 0.976 : 273795135.0 2805 0.965 : 273795136.0 2845 0.977 : 273795137.0 2606 0.970 : 273795138.0 2814 0.960 : 273795139.0 2828 0.976 : 273795140.0 2783 0.958 : 273795141.0 2501 0.962 : 273795142.0 2722 0.971 : 273795143.0 2950 0.993 : 273795144.0 2740 0.981 : 273795145.0 2833 0.974 : 273795146.0 2846 0.993 : 273795147.0 2848 0.969 : 273795148.0 2785 0.962 : 273795149.0 2741 0.976 : 273795150.0 2653 0.977 : 273795151.0 2800 0.969 : 273795152.0 2917 0.979 : 273795153.0 2865 0.983 : 273795154.0 2887 0.982 : 273795155.0 2590 0.985 : 273795156.0 2786 0.992 : 273795157.0 2721 0.989 : 273795158.0 2755 1.000 : 273795159.0 2641 1.000 : 273795160.0 2729 0.997 : 273795161.0 2694 1.000 : 273795162.0 2842 0.992 : 273795164.0 2736 0.860 : 273795167.0 2263 0.816 : 273795172.0 3591 0.918 : 273795173.0 2755 0.993 : 273795174.0 2637 0.957 : 273795175.0 2798 0.957 : 273795176.0 2602 0.968 : 273795177.0 2704 0.962 : 273795180.0 3566 0.914 : 273795181.0 2540 0.997 : 273795182.0 2867 0.993 : 273795183.0 2811 0.977 : 273795184.0 2462 0.937 : 273795185.0 2295 0.922 : 273795187.0 2038 0.833 : 273795188.0 2444 0.857 : 273795190.0 2188 0.834 : 273795191.0 2630 0.848 : 273795192.0 3326 0.978 : 273795193.0 2499 0.986 : 273795195.0 3768 0.936 : 273795196.0 2841 0.995 : 273795197.0 2835 0.977 : 273795198.0 2806 0.989 : 273795199.0 2827 0.985 : 273795200.0 2801 0.989 : 273795201.0 2823 0.991 : 273795202.0 2831 0.988 : 273795203.0 2757 0.973 : 273795399.0 2037 0.823 : 273795400.0 2163 0.854 : 273795401.0 2228 0.885 : 273795402.0 2497 0.863 : 273795403.0 2109 0.890 : 273795404.0 2145 0.883 : 273795405.0 2483 0.874 : 273795406.0 2218 0.879 : 273795407.0 2622 0.878 : 273795408.0 2135 0.853 : 273795409.0 2727 0.882 : 273795410.0 2004 0.875 : 273795411.0 2894 0.886 : 273795412.0 2124 0.879 : 273795413.0 2176 0.862 : 273795416.0 4033 0.967 : 273795417.0 2633 0.993 : 273795418.0 2625 0.992 : 273795419.0 2687 0.989 : 273795420.0 2706 0.991 : 273795421.0 2538 0.986 : 273795422.0 2682 0.996 : 273795423.0 2603 0.989 : 273795424.0 2489 0.976 : 273795425.0 2557 0.991 : 273795426.0 2694 0.997 : 273795427.0 2680 0.990 : 273795428.0 2760 0.989 : 273795429.0 2694 0.979 : 273795430.0 2657 0.991 : 273795431.0 2622 0.984 : 273795432.0 2610 0.984 : 273795433.0 2759 0.996 : 273795434.0 2718 0.990 : 273795435.0 2739 0.992 : 273795436.0 2670 0.994 : 273795437.0 2579 0.986 : 273795438.0 2539 0.994 : 273795439.0 2620 0.984 : 273795440.0 2472 0.985 : 273795441.0 2768 0.990 : 273795442.0 2583 0.985 : 273795443.0 2732 0.989 : 273795444.0 2717 0.993 : 273795445.0 2544 0.986 : 273795446.0 2725 0.983 : 273795447.0 2594 0.978 : 273795448.0 2560 0.980 : 273795449.0 2158 0.982 : 273795450.0 2620 0.983 : 273795451.0 2731 0.991 : 273795452.0 2438 0.988 : 273795453.0 2572 0.990 : 273795454.0 2703 0.985 : 273795455.0 2660 0.991 : 273795456.0 2830 0.993 : 273795457.0 2547 0.981 : 273795458.0 2723 0.992 : 273795459.0 2729 0.993 : 273795460.0 2514 0.974 : 273795461.0 2688 0.980 : 273795462.0 2681 0.987 : 273795463.0 2766 0.993 : 273795464.0 2445 0.987 : 273795465.0 2582 0.979 : 273795466.0 2699 0.984 : 273795467.0 2677 0.984 : 273795468.0 2529 0.976 : 273795469.0 2776 0.982 : 273795470.0 2810 0.980 : 273795471.0 2636 0.984 : 273795472.0 2748 0.988 : 273795473.0 2643 0.975 : 273795474.0 2815 0.984 : 273795475.0 2828 0.983 : 273795476.0 2768 0.987 : 273795477.0 2874 0.986 : 273795478.0 2726 0.985 : 273795479.0 2688 0.984 : 273795480.0 2494 0.976 : 273795481.0 2637 0.985 : 273795482.0 2724 0.977 : 273795483.0 2795 0.989 : 273795484.0 2736 0.987 : 273795485.0 2766 0.983 : 273795486.0 2485 0.974 : 273795487.0 2796 0.986 : 273795488.0 2640 0.990 : 273795489.0 2267 0.981 : 273795490.0 2719 0.993 : 273795491.0 2812 0.983 : 273795492.0 2777 0.992 : 273795493.0 2705 0.977 : 273795494.0 2677 0.976 : 273795495.0 2724 0.977 : 273795496.0 2611 0.965 : 273795497.0 2715 0.986 : 273795498.0 2761 0.986 : 273795499.0 2778 0.988 : 273795501.0 2361 0.853 : 273795502.0 3275 0.978 : 273795503.0 2867 0.991 : 273795504.0 2798 0.985 : 273795505.0 2728 0.987 : 273795506.0 2613 0.982 : 273795507.0 2684 0.979 : 273795508.0 2817 0.994 : 273795509.0 2728 0.978 : 273795510.0 2771 0.984 : 273795511.0 2688 0.974 : 273795512.0 2860 0.974 : 273795513.0 2559 0.978 : 273795514.0 2771 0.972 : 273795515.0 2741 0.978 : 273795516.0 2870 0.979 : 273795517.0 2640 0.975 : 273795518.0 2728 0.975 : 273795519.0 2881 0.975 : 273795520.0 2783 0.976 : 273795521.0 2700 0.983 : 273795522.0 2700 0.970 : 273795523.0 2747 0.974 : 273795524.0 2804 0.980 : 273795525.0 2713 0.982 : 273795526.0 2579 0.979 : 273795527.0 2790 0.973 : 273795528.0 2647 0.975 : 273795529.0 2638 0.980 : 273795530.0 2677 0.978 : 273795531.0 2894 0.978 : 273795532.0 2467 0.964 : 273795533.0 2721 0.969 : 273795534.0 2708 0.982 : 273795535.0 2829 0.981 : 273795536.0 2635 0.971 : 273795537.0 2636 0.979 : 273795538.0 2709 0.979 : 273795539.0 2784 0.981 : 273795540.0 2792 0.977 : 273795541.0 2715 0.974 : 273795542.0 2718 0.985 : 273795543.0 2813 0.974 : 273795544.0 2735 0.973 : 273795545.0 2535 0.978 : 273795546.0 2743 0.973 : 273795547.0 2874 0.983 : 273795548.0 2736 0.988 : 273795549.0 2676 0.975 : 273795550.0 2715 0.972 : 273795551.0 2674 0.983 : 273795552.0 2751 0.980 : 273795553.0 2732 0.971 : 273795554.0 2767 0.973 : 273795555.0 2699 0.967 : 273795556.0 2782 0.980 : 273795557.0 2718 0.979 : 273795558.0 2764 0.977 : 273795559.0 2525 0.967 : 273795560.0 2635 0.976 : 273795561.0 2524 0.977 : 273795562.0 2746 0.971 : 273795563.0 2770 0.980 : 273795564.0 2763 0.974 : 273795565.0 2594 0.974 : 273795566.0 2792 0.981 : 273795567.0 2697 0.976 : 273795568.0 2606 0.976 : 273795569.0 2645 0.977 : 273795570.0 2565 0.970 : 273795571.0 2785 0.972 : 273795572.0 2669 0.975 : 273795573.0 2636 0.974 : 273795574.0 2785 0.980 : 273795575.0 2728 0.971 : 273795576.0 2784 0.975 : 273795577.0 2615 0.974 : 273795578.0 2639 0.974 : 273795579.0 2641 0.984 : 273795580.0 2827 0.980 : 273795581.0 2186 0.957 : 273795582.0 2839 0.978 : 273795583.0 2880 0.983 : 273795584.0 2791 0.974 : 273795585.0 2449 0.957 : 273795586.0 2616 0.963 : 273795587.0 2735 0.971 : 273795588.0 2737 0.972 : 273795589.0 2085 0.966 : 273795590.0 2768 0.974 : 273795591.0 2033 0.922 : 273795593.0 5060 0.970 : 273795594.0 2747 0.969 : 273795595.0 2697 0.973 : 273795596.0 2761 0.975 : 273795597.0 2745 0.978 : 273795598.0 2028 0.921 : 273795599.0 3362 0.967 : 273795600.0 2609 0.964 : 273795601.0 2806 0.979 : 273795602.0 2860 0.974 : 273795603.0 2725 0.974 : 273795604.0 2656 0.979 : 273795605.0 2566 0.983 : 273795606.0 2759 0.973 : 273795607.0 2774 0.979 : 273795608.0 2790 0.981 : 273795609.0 2881 0.985 : 273795610.0 2506 0.959 : 273795611.0 2804 0.974 : 273795612.0 2536 0.961 : 273795613.0 2645 0.968 : 273795614.0 2885 0.975 : 273795615.0 2628 0.962 : 273795616.0 2718 0.972 : 273795617.0 2718 0.961 : 273795618.0 2572 0.970 : 273795619.0 2899 0.966 : 273795620.0 2815 0.969 : 273795621.0 2808 0.970 : 273795622.0 2571 0.968 : 273795623.0 2620 0.968 : 273795624.0 2772 0.983 : 273795625.0 2568 0.981 : 273795626.0 2731 0.970 : 273795627.0 2670 0.971 : 273795628.0 2851 0.976 : 273795629.0 2664 0.966 : 273795630.0 2629 0.971 : 273795631.0 2690 0.966 : 273795632.0 2526 0.969 : 273795633.0 2814 0.979 : 273795634.0 2434 0.961 : 273795637.0 2097 0.878 : 273795638.0 2586 0.884 : 273795639.0 2230 0.906 : 273795641.0 2867 0.887 : 273795643.0 2199 0.864 : 273795644.0 3137 0.904 : 273795646.0 2833 0.891 : 273795647.0 2316 0.890 : 273795648.0 2466 0.906 : 273795649.0 2609 0.900 : 273795650.0 2334 0.877 : 273795652.0 2758 0.877 : 273795653.0 2419 0.898 : 273795654.0 2612 0.897 : 273795655.0 2320 0.903 : 273795656.0 2393 0.893 : 273795657.0 2479 0.881 : 273795658.0 2377 0.869 : 273795661.0 2646 0.887 : 273795662.0 2074 0.880 : 273795664.0 2093 0.869 : 273795665.0 2084 0.904 : 273795666.0 2407 0.856 : 273795667.0 2143 0.881 : 273795668.0 2285 0.882 : 273795669.0 2251 0.894 : 273795671.0 3057 0.892 : 273795672.0 2252 0.891 : 273795673.0 2547 0.872 : 273795675.0 2422 0.859 : 273795676.0 2688 0.888 : 273795677.0 2660 0.880 : 273795679.0 2440 0.867 : 273795680.0 2165 0.883 : 273795681.0 2544 0.875 : 273795682.0 2605 0.894 : 273795683.0 2834 0.900 : 273795684.0 2219 0.901 : 273795685.0 2407 0.934 : 273795686.0 2637 0.905 : 273795687.0 2380 0.913 : 273795688.0 2456 0.896 : 273795690.0 3197 0.910 : 273795691.0 2777 0.910 : 273795693.0 2702 0.899 : 273795694.0 2217 0.913 : 273795695.0 2659 0.915 : 273795696.0 2420 0.896 : 273795705.0 2382 0.836 : 273795706.0 2523 0.923 : 273795707.0 2482 0.910 : 273795708.0 2448 0.878 : 273795710.0 2355 0.910 : 273795711.0 2338 0.906 : 273795712.0 2540 0.911 : 273795713.0 2410 0.912 : 273795714.0 2586 0.913 : 273795715.0 2326 0.899 : 273795716.0 2659 0.905 : 273795717.0 2746 0.903 : 273795736.0 3215 0.917 : 273795737.0 2537 0.922 : 273795738.0 2543 0.906 : 273795739.0 2300 0.910 : 273795740.0 2571 0.899 : 273795742.0 2447 0.911 : 273795743.0 2448 0.905 : 273795744.0 2575 0.921 : 273795745.0 2596 0.902 : 273795746.0 2552 0.906 : 273795747.0 2601 0.887 : 273795748.0 2079 0.897 : 273795749.0 2179 0.906 : 273795750.0 2206 0.903 : 273795751.0 2527 0.896 : 273795753.0 2421 0.890 : 273795754.0 2158 0.915 : 273795755.0 2859 0.895 : 273795756.0 2459 0.892 : 273795757.0 2402 0.888 : 273795772.0 3167 0.896 : 273795773.0 2391 0.890 : 273795774.0 2233 0.891 : 273795775.0 2324 0.889 : 273795776.0 2333 0.907 : 273795777.0 2511 0.922 : 273795778.0 2757 0.913 : 273795779.0 2563 0.911 : 273795780.0 2469 0.886 : 273795781.0 2304 0.894 : 273795782.0 2760 0.892 : 273795783.0 2395 0.875 : 273795784.0 2309 0.897 : 273795785.0 2544 0.893 : 273795786.0 2470 0.879 : 273795787.0 2438 0.896 : 273795788.0 2392 0.912 : 273795790.0 2477 0.879 : 273795807.0 2598 0.844 : 273795808.0 2060 0.851 : 273795809.0 2213 0.868 : 273795810.0 2246 0.869 : 273795811.0 2304 0.867 : 273795812.0 2425 0.847 : 273795813.0 2013 0.850 : 273795814.0 2216 0.860 : 273795815.0 2336 0.826 : 273795817.0 2414 0.837 : 273795818.0 2506 0.865 : 273796697.0 2066 0.807 : 273797064.0 2556 0.780 Total number of 1 second bins: 9313 Bins with >0 counts : 6551 Bins with >2000 counts : 435 435 of 435 high count rate bins were dominated by noise Noise dominated 4.67% of total time, 6.64% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 273797165.0 2454 0.742 Total number of 1 second bins: 9313 Bins with >0 counts : 6551 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 273794230.0 2202 0.850 Total number of 1 second bins: 9313 Bins with >0 counts : 6551 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 273796884.0 2029 0.771 : 273796887.0 2190 0.801 : 273796891.0 2892 0.878 : 273796935.0 2473 0.808 Total number of 1 second bins: 9313 Bins with >0 counts : 6551 Bins with >2000 counts : 4 4 of 4 high count rate bins were dominated by noise Noise dominated 0.04% of total time, 0.06% of detector on time (defined as non-zero counts)