Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 439049299.0 2715 0.878
: 439049300.0 3356 0.857
: 439049987.0 2515 0.854
: 439049989.0 2523 0.882
: 439050386.0 2428 0.863
: 439050404.0 2997 0.878
: 439050407.0 2306 0.849
: 439050418.0 2691 0.880
: 439050423.0 2092 0.859
: 439051203.0 3144 0.908
: 439051212.0 2284 0.866
: 439051213.0 2411 0.873
: 439051215.0 2350 0.875
: 439051651.0 2037 0.839
: 439051658.0 2035 0.842
: 439051664.0 2095 0.831
: 439051665.0 2426 0.858
: 439051667.0 2241 0.851
: 439051669.0 2121 0.840
: 439051671.0 2260 0.840
: 439051696.0 2250 0.859
: 439051697.0 2329 0.851
: 439051698.0 2181 0.855
: 439051699.0 2288 0.853
: 439051700.0 2090 0.818
: 439051701.0 2096 0.826
: 439051702.0 2038 0.825
: 439054701.0 2121 0.787
: 439054704.0 2007 0.720
: 439054707.0 2004 0.705
: 439054712.0 2044 0.663
: 439055278.0 2065 0.820
Total number of 1 second bins: 7871
Bins with >0 counts : 6652
Bins with >2000 counts : 32
32 of 32 high count rate bins were dominated by noise
Noise dominated 0.41% of total time, 0.48% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 439048771.0 2029 0.773
: 439048877.0 2095 0.776
: 439049012.0 3322 0.934
: 439049013.0 2427 0.949
: 439049014.0 2230 0.934
: 439049020.0 2417 0.818
: 439049022.0 2171 0.835
: 439049342.0 2050 0.809
: 439049490.0 2050 0.796
: 439049825.0 2605 0.864
: 439050409.0 3105 0.879
: 439050413.0 2724 0.876
: 439050414.0 2052 0.940
: 439050415.0 2218 0.890
: 439050416.0 2909 0.895
: 439050417.0 2862 0.936
: 439050419.0 3430 0.938
: 439050430.0 2311 0.853
: 439050436.0 2974 0.943
: 439050438.0 3050 0.915
: 439050444.0 2139 0.910
: 439050462.0 3640 0.914
: 439050465.0 3035 0.871
: 439050479.0 2394 0.851
: 439050495.0 2457 0.871
: 439050510.0 2057 0.821
: 439050513.0 2162 0.877
: 439050514.0 2865 0.914
: 439050515.0 2052 0.885
: 439050517.0 3819 0.927
: 439050520.0 2171 0.852
: 439050522.0 2842 0.893
: 439050552.0 2516 0.870
: 439050562.0 2220 0.864
: 439050598.0 2571 0.879
: 439050599.0 2260 0.858
: 439050703.0 5272 0.965
: 439050759.0 2509 0.864
: 439050811.0 2686 0.882
: 439050823.0 2223 0.913
: 439050919.0 2030 0.846
: 439050977.0 2628 0.880
: 439051013.0 2158 0.841
: 439051160.0 2231 0.852
: 439051161.0 2355 0.863
: 439051162.0 2145 0.855
: 439051163.0 2735 0.879
: 439051166.0 2471 0.862
: 439051209.0 2536 0.926
: 439051210.0 2101 0.855
: 439051534.0 2869 0.885
: 439051536.0 2397 0.845
: 439051880.0 2531 0.887
: 439051881.0 2842 0.889
: 439052113.0 3341 0.940
: 439052114.0 3245 0.956
: 439052516.0 2651 0.877
: 439052606.0 2764 0.891
: 439052608.0 3831 0.922
: 439052630.0 3369 0.904
: 439053356.0 2050 0.868
: 439054752.0 2069 0.762
: 439054754.0 2933 0.904
: 439054762.0 2431 0.800
: 439054765.0 2492 0.789
: 439054767.0 2378 0.815
: 439054777.0 2506 0.792
: 439054782.0 2411 0.818
: 439054942.0 2545 0.822
: 439054955.0 2180 0.776
: 439055172.0 2190 0.807
: 439055178.0 2325 0.832
: 439055225.0 3165 0.880
: 439055310.0 2004 0.822
: 439055643.0 2638 0.845
: 439055742.0 2651 0.855
: 439055801.0 3667 0.882
: 439055964.0 2110 0.785
Total number of 1 second bins: 7870
Bins with >0 counts : 6651
Bins with >2000 counts : 78
78 of 78 high count rate bins were dominated by noise
Noise dominated 0.99% of total time, 1.17% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 439049082.0 3771 0.883
: 439049818.0 3442 0.949
: 439050310.0 2717 0.853
: 439051299.0 2381 0.837
: 439052625.0 2527 0.880
: 439053059.0 2755 0.870
: 439053140.0 2371 0.841
: 439055013.0 2361 0.803
: 439055393.0 2233 0.792
: 439055395.0 2623 0.822
: 439056111.0 2321 0.847
: 439056115.0 2804 0.850
: 439056124.0 3033 0.888
: 439056141.0 4150 0.911
: 439056143.0 2842 0.917
: 439056244.0 2615 0.851
Total number of 1 second bins: 7870
Bins with >0 counts : 6651
Bins with >2000 counts : 16
16 of 16 high count rate bins were dominated by noise
Noise dominated 0.20% of total time, 0.24% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 439048440.0 2286 0.644
: 439048441.0 2202 0.786
: 439048474.0 2980 0.832
: 439048843.0 2883 0.879
: 439048845.0 2340 0.815
: 439048870.0 3826 0.907
: 439048892.0 2277 0.828
: 439048954.0 2241 0.818
: 439048986.0 2009 0.801
: 439048987.0 2113 0.794
: 439049016.0 2359 0.850
: 439049071.0 2432 0.848
: 439049148.0 2288 0.840
: 439049291.0 2235 0.812
: 439049518.0 2118 0.906
: 439049520.0 2235 0.829
: 439049521.0 2114 0.887
: 439049675.0 2406 0.815
: 439049677.0 2651 0.856
: 439049678.0 2277 0.837
: 439049690.0 2316 0.864
: 439049795.0 3707 0.927
: 439049805.0 2065 0.828
: 439049806.0 3007 0.909
: 439049808.0 2436 0.950
: 439050247.0 2872 0.890
: 439050248.0 3054 0.946
: 439050249.0 2585 0.944
: 439050250.0 2686 0.955
: 439050251.0 2658 0.932
: 439050253.0 2223 0.878
: 439050254.0 2568 0.888
: 439050258.0 2414 0.907
: 439050259.0 2251 0.845
: 439050261.0 2947 0.904
: 439050262.0 2660 0.904
: 439050372.0 2170 0.854
: 439050375.0 2558 0.858
: 439050376.0 3729 0.923
: 439050379.0 2305 0.876
: 439050380.0 3218 0.925
: 439050390.0 2177 0.844
: 439050509.0 2308 0.870
: 439050551.0 2624 0.910
: 439050565.0 3438 0.927
: 439050582.0 2222 0.869
: 439050590.0 4818 0.980
: 439050591.0 2862 0.991
: 439050592.0 2814 0.985
: 439050593.0 2770 0.978
: 439050594.0 2767 0.980
: 439050595.0 2780 0.978
: 439050596.0 2829 0.980
: 439050597.0 2877 0.988
: 439050598.0 2767 0.982
: 439050599.0 2795 0.979
: 439050600.0 2856 0.978
: 439050601.0 2914 0.981
: 439050602.0 2864 0.978
: 439050603.0 2843 0.977
: 439050604.0 2861 0.972
: 439050605.0 2891 0.986
: 439050606.0 2894 0.983
: 439050607.0 2537 0.979
: 439050608.0 2891 0.990
: 439050609.0 2931 0.989
: 439050610.0 2977 0.983
: 439050611.0 2907 0.989
: 439050612.0 2804 0.991
: 439050613.0 2811 0.970
: 439050614.0 3024 0.987
: 439050615.0 2870 0.998
: 439050616.0 2875 0.987
: 439050617.0 2875 0.990
: 439050618.0 2790 0.979
: 439050619.0 2677 0.984
: 439050620.0 2827 0.984
: 439050621.0 2838 0.991
: 439050622.0 2854 0.991
: 439050623.0 2827 0.995
: 439050624.0 2880 0.987
: 439050625.0 2720 0.982
: 439050626.0 2843 0.991
: 439050627.0 2832 0.975
: 439050628.0 2820 0.986
: 439050629.0 2945 0.989
: 439050630.0 2871 0.992
: 439050631.0 2776 0.991
: 439050632.0 2916 0.999
: 439050633.0 2873 0.991
: 439050634.0 2867 0.986
: 439050635.0 2940 0.993
: 439050636.0 2888 0.990
: 439050637.0 2784 0.985
: 439050638.0 2653 0.985
: 439050639.0 2700 0.994
: 439050640.0 2806 0.994
: 439050641.0 2823 0.993
: 439050642.0 2868 0.988
: 439050643.0 2932 0.986
: 439050644.0 2796 0.994
: 439050645.0 2894 0.999
: 439050646.0 2846 0.995
: 439050647.0 2631 0.976
: 439050648.0 2948 0.989
: 439050649.0 2762 0.987
: 439050650.0 2852 0.990
: 439050651.0 2877 0.986
: 439050652.0 2904 0.985
: 439050653.0 2912 0.996
: 439050654.0 2902 0.991
: 439050655.0 2740 0.992
: 439050656.0 2971 0.992
: 439050658.0 4878 0.987
: 439050659.0 2728 0.992
: 439050660.0 2964 0.990
: 439050661.0 2714 0.986
: 439050662.0 2967 0.989
: 439050663.0 2807 0.998
: 439050664.0 2545 0.985
: 439050665.0 2899 0.994
: 439050666.0 2885 0.989
: 439050667.0 2867 0.999
: 439050668.0 2790 0.994
: 439050669.0 2842 0.998
: 439050670.0 2657 0.997
: 439050671.0 2788 1.000
: 439050672.0 2745 0.998
: 439050673.0 2852 0.992
: 439050674.0 2850 0.993
: 439050675.0 2895 1.000
: 439050676.0 2968 0.990
: 439050677.0 2808 0.982
: 439050678.0 2927 0.994
: 439050679.0 2718 0.979
: 439050680.0 2683 0.985
: 439050681.0 2843 0.991
: 439050682.0 2804 0.993
: 439050683.0 2988 0.995
: 439050684.0 2899 0.986
: 439050685.0 2916 0.988
: 439050686.0 2929 0.993
: 439050687.0 2919 0.997
: 439050688.0 2764 0.992
: 439050689.0 2721 0.990
: 439050690.0 2927 0.998
: 439050691.0 2813 0.996
: 439050692.0 2842 0.990
: 439050693.0 2603 0.990
: 439050694.0 2835 0.993
: 439050695.0 2802 0.985
: 439050696.0 2747 0.990
: 439050697.0 2923 0.998
: 439050698.0 2738 0.989
: 439050699.0 2779 0.982
: 439050700.0 2804 0.992
: 439050701.0 2893 0.990
: 439050702.0 2816 0.991
: 439050703.0 2905 0.986
: 439050704.0 2630 0.986
: 439050705.0 2894 0.988
: 439050706.0 2769 0.980
: 439050707.0 2841 0.988
: 439050708.0 2879 0.988
: 439050709.0 2849 0.989
: 439050710.0 2888 1.000
: 439050711.0 2742 1.000
: 439050712.0 2892 0.994
: 439050713.0 2735 0.988
: 439050714.0 2850 0.995
: 439050715.0 2861 1.000
: 439050716.0 2656 1.000
: 439050717.0 2863 0.988
: 439050718.0 2873 1.000
: 439050719.0 2810 1.000
: 439050720.0 2850 0.992
: 439050721.0 2759 0.998
: 439050722.0 2861 1.000
: 439050723.0 2805 1.000
: 439050724.0 2843 0.995
: 439050725.0 2864 0.996
: 439050726.0 2727 0.988
: 439050727.0 2852 0.998
: 439050728.0 2883 0.995
: 439050729.0 2976 0.999
: 439050730.0 2832 0.995
: 439050731.0 2833 1.000
: 439050732.0 2515 0.994
: 439050733.0 2867 0.994
: 439050734.0 2408 0.996
: 439050735.0 2805 1.000
: 439050736.0 2644 0.998
: 439050737.0 2851 1.000
: 439050738.0 2802 1.000
: 439050739.0 2726 0.994
: 439050740.0 2767 0.995
: 439050741.0 2763 0.998
: 439050742.0 2762 0.997
: 439050743.0 2649 1.000
: 439050744.0 2850 1.000
: 439050745.0 2746 0.999
: 439050746.0 2660 1.000
: 439050747.0 2685 1.000
: 439050748.0 2785 0.998
: 439050749.0 2746 1.000
: 439050750.0 2839 0.999
: 439050751.0 2769 0.999
: 439050752.0 2753 1.000
: 439050753.0 2656 1.000
: 439050754.0 2786 1.000
: 439050755.0 2671 1.000
: 439050756.0 2765 1.000
: 439050758.0 4737 0.989
: 439050759.0 2589 0.995
: 439050760.0 2873 0.991
: 439050761.0 2809 0.999
: 439050762.0 2807 0.991
: 439050763.0 2688 1.000
: 439050764.0 2691 0.997
: 439050765.0 2442 1.000
: 439050766.0 2696 0.995
: 439050767.0 2606 1.000
: 439050768.0 2691 1.000
: 439050769.0 2596 1.000
: 439050770.0 2899 0.996
: 439050771.0 2828 0.993
: 439050772.0 2663 1.000
: 439050773.0 2433 1.000
: 439050774.0 2749 0.992
: 439050775.0 2563 1.000
: 439050776.0 2755 1.000
: 439050777.0 2853 0.999
: 439050778.0 2648 1.000
: 439050779.0 2460 0.995
: 439050780.0 2621 1.000
: 439050781.0 2780 1.000
: 439050782.0 2838 1.000
: 439050783.0 2489 0.994
: 439050784.0 2694 1.000
: 439050785.0 2661 1.000
: 439050786.0 2725 0.998
: 439050787.0 2804 0.995
: 439050788.0 2786 0.993
: 439050789.0 2713 0.998
: 439050790.0 2751 1.000
: 439050791.0 2513 1.000
: 439050792.0 2597 1.000
: 439050793.0 2773 0.986
: 439050794.0 2757 1.000
: 439050795.0 2616 1.000
: 439050796.0 2674 1.000
: 439050797.0 2828 0.997
: 439050798.0 2685 1.000
: 439050799.0 2837 0.999
: 439050800.0 2689 0.999
: 439050801.0 2697 1.000
: 439050802.0 2626 0.996
: 439050803.0 2608 1.000
: 439050804.0 2677 1.000
: 439050805.0 2671 1.000
: 439050806.0 2713 0.996
: 439050807.0 2531 1.000
: 439050808.0 2627 0.999
: 439050809.0 2528 1.000
: 439050810.0 2839 1.000
: 439050811.0 2804 1.000
: 439050812.0 2703 1.000
: 439050813.0 2479 1.000
: 439050814.0 2647 1.000
: 439050815.0 2661 1.000
: 439050816.0 2826 1.000
: 439050817.0 2808 0.993
: 439050818.0 2781 1.000
: 439050819.0 2840 1.000
: 439050820.0 2778 0.994
: 439050821.0 2714 0.998
: 439050822.0 2673 1.000
: 439050823.0 2506 1.000
: 439050824.0 2696 1.000
: 439050825.0 2502 1.000
: 439050826.0 2793 0.999
: 439050827.0 2781 1.000
: 439050828.0 2741 0.997
: 439050829.0 2810 1.000
: 439050830.0 2761 1.000
: 439050831.0 2655 0.995
: 439050832.0 2654 1.000
: 439050833.0 2691 1.000
: 439050834.0 2652 1.000
: 439050835.0 2785 1.000
: 439050836.0 2735 1.000
: 439050837.0 2644 1.000
: 439050838.0 2426 1.000
: 439050839.0 2488 1.000
: 439050840.0 2648 1.000
: 439050841.0 2589 1.000
: 439050842.0 2703 1.000
: 439050843.0 2728 1.000
: 439050844.0 2697 0.995
: 439050845.0 2905 0.998
: 439050846.0 2832 0.996
: 439050847.0 2813 1.000
: 439050848.0 2873 0.997
: 439050849.0 2537 0.999
: 439050850.0 2810 0.999
: 439050851.0 2750 0.993
: 439050852.0 2691 0.993
: 439050853.0 2637 1.000
: 439050854.0 2571 0.992
: 439050855.0 2755 0.999
: 439050856.0 2715 1.000
: 439050858.0 4459 0.996
: 439050859.0 2626 1.000
: 439050860.0 2747 1.000
: 439050861.0 2871 0.998
: 439050862.0 2752 1.000
: 439050863.0 2638 0.996
: 439050864.0 2849 0.993
: 439050865.0 2761 0.997
: 439050866.0 2863 0.998
: 439050867.0 2846 0.994
: 439050868.0 2660 0.991
: 439050869.0 2834 0.998
: 439050870.0 2847 1.000
: 439050871.0 2713 0.999
: 439050872.0 2806 0.990
: 439050873.0 2792 0.993
: 439050874.0 2354 0.981
: 439050875.0 2703 0.998
: 439050876.0 2831 0.991
: 439050877.0 2812 0.999
: 439050878.0 2752 1.000
: 439050879.0 2725 1.000
: 439050880.0 2714 0.992
: 439050881.0 2767 0.994
: 439050882.0 2480 0.967
: 439050883.0 2653 0.995
: 439050884.0 2473 0.992
: 439050885.0 2859 1.000
: 439050886.0 2720 0.992
: 439050887.0 2851 0.998
: 439050888.0 2833 0.992
: 439050889.0 2696 0.995
: 439050890.0 2804 0.993
: 439050891.0 2795 0.993
: 439050892.0 2818 0.993
: 439050893.0 2848 1.000
: 439050894.0 2804 0.997
: 439050895.0 2702 0.995
: 439050896.0 2658 1.000
: 439050897.0 2830 0.999
: 439050898.0 2784 1.000
: 439050899.0 2551 1.000
: 439050900.0 2826 0.994
: 439050901.0 2724 0.996
: 439050902.0 2723 0.999
: 439050903.0 2756 1.000
: 439050904.0 2690 1.000
: 439050905.0 2758 1.000
: 439050906.0 2724 1.000
: 439050907.0 2591 0.991
: 439050908.0 2808 1.000
: 439050909.0 2858 1.000
: 439050910.0 2756 1.000
: 439050911.0 2881 0.998
: 439050912.0 2815 0.991
: 439050913.0 2812 0.996
: 439050914.0 2701 0.994
: 439050915.0 2957 0.995
: 439050916.0 2839 0.989
: 439050917.0 2861 1.000
: 439050918.0 2779 0.994
: 439050919.0 2815 0.996
: 439050920.0 2721 1.000
: 439050921.0 2733 1.000
: 439050922.0 2846 0.996
: 439050923.0 2577 0.995
: 439050924.0 2796 0.997
: 439050925.0 2524 0.988
: 439050926.0 2719 0.993
: 439050927.0 2836 0.988
: 439050928.0 2805 0.988
: 439050929.0 2853 0.998
: 439050930.0 2721 0.996
: 439050931.0 2827 0.996
: 439050932.0 2801 0.996
: 439050933.0 2347 0.991
: 439050934.0 2760 1.000
: 439050935.0 2560 0.988
: 439050936.0 2834 0.984
: 439050937.0 2823 0.986
: 439050938.0 2809 0.997
: 439050939.0 2825 0.996
: 439050940.0 2864 0.985
: 439050944.0 2281 0.896
: 439050945.0 3410 0.906
: 439050947.0 2972 0.927
: 439050948.0 2009 0.860
: 439050949.0 2287 0.883
: 439050963.0 2800 0.892
: 439050965.0 2414 0.874
: 439050967.0 2111 0.840
: 439050968.0 2055 0.833
: 439050977.0 2137 0.868
: 439050978.0 2998 0.892
: 439050979.0 3970 0.974
: 439050981.0 2237 0.937
: 439050982.0 2441 0.870
: 439050990.0 2815 0.871
: 439050995.0 2549 0.894
: 439050997.0 2162 0.847
: 439050998.0 2639 0.885
: 439051000.0 2333 0.871
: 439051001.0 3351 0.913
: 439051002.0 3018 0.940
: 439051003.0 2148 0.950
: 439051004.0 2546 0.950
: 439051005.0 3532 0.946
: 439051006.0 2361 0.959
: 439051007.0 2409 0.939
: 439051008.0 2920 0.951
: 439051009.0 2151 0.961
: 439051010.0 3249 0.961
: 439051011.0 2454 0.965
: 439051013.0 2706 0.892
: 439051014.0 2423 0.898
: 439051017.0 2883 0.885
: 439051018.0 2119 0.910
: 439051019.0 3860 0.928
: 439051023.0 2203 0.850
: 439051025.0 2482 0.866
: 439051026.0 2120 0.843
: 439051027.0 3402 0.913
: 439051035.0 2232 0.851
: 439051036.0 2901 0.913
: 439051038.0 2568 0.913
: 439051040.0 2380 0.881
: 439051041.0 3274 0.926
: 439051042.0 2697 0.944
: 439051044.0 3433 0.932
: 439051045.0 2071 0.943
: 439051046.0 2822 0.931
: 439051047.0 2497 0.923
: 439051048.0 3304 0.947
: 439051049.0 2301 0.944
: 439051050.0 2376 0.938
: 439051051.0 2338 0.918
: 439051052.0 2514 0.929
: 439051053.0 2315 0.927
: 439051054.0 3452 0.920
: 439051055.0 3603 0.965
: 439051058.0 2516 0.867
: 439051062.0 2406 0.855
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: 439051493.0 2309 0.898
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: 439051495.0 2749 0.910
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: 439051500.0 2568 0.913
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: 439051503.0 3445 0.969
: 439051506.0 2734 0.875
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: 439051521.0 2242 0.855
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: 439051536.0 2035 0.814
: 439051541.0 2512 0.910
: 439051542.0 2781 0.895
: 439051545.0 2173 0.849
: 439051547.0 3313 0.908
: 439051560.0 4831 0.973
: 439051568.0 4034 0.974
: 439051571.0 2015 0.854
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: 439051596.0 2685 0.909
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: 439051612.0 2321 0.879
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: 439053285.0 4288 0.958
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: 439053292.0 4162 0.956
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: 439053296.0 2822 0.954
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: 439053374.0 2176 0.818
: 439053387.0 2844 0.832
: 439053389.0 2772 0.813
: 439053403.0 2625 0.838
: 439053409.0 2302 0.738
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: 439053439.0 2835 0.824
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: 439053443.0 2007 0.706
: 439054699.0 2081 0.704
: 439054705.0 2809 0.786
: 439054711.0 4173 0.909
: 439054713.0 2028 0.695
: 439054714.0 2410 0.771
: 439054715.0 2708 0.794
: 439054719.0 2736 0.870
: 439054720.0 3044 0.915
: 439054721.0 2063 0.915
: 439054722.0 2211 0.900
: 439054723.0 2205 0.849
: 439054724.0 2164 0.835
: 439054725.0 2842 0.898
: 439054726.0 2268 0.892
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: 439054731.0 2904 0.860
: 439054747.0 3722 0.888
: 439054748.0 2662 0.930
: 439054749.0 2855 0.941
: 439054750.0 2408 0.922
: 439054751.0 3116 0.942
: 439054752.0 2992 0.950
: 439054754.0 3301 0.924
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: 439054756.0 2276 0.922
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: 439054759.0 2946 0.955
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: 439054762.0 2046 0.925
: 439054763.0 3400 0.936
: 439054765.0 4064 0.960
: 439054768.0 2597 0.804
: 439054769.0 4070 0.949
: 439054770.0 2690 0.952
: 439054771.0 2579 0.942
: 439054773.0 4146 0.937
: 439054775.0 2238 0.852
: 439054776.0 3436 0.888
: 439054853.0 2275 0.918
: 439054867.0 2062 0.773
: 439054998.0 4474 0.915
: 439055000.0 2908 0.939
: 439055001.0 2067 0.911
: 439055002.0 2880 0.889
: 439055003.0 2320 0.902
: 439055006.0 2697 0.842
: 439055007.0 2862 0.885
: 439055009.0 2167 0.813
: 439055011.0 2608 0.870
: 439055012.0 2657 0.880
: 439055015.0 2913 0.863
: 439055017.0 2617 0.809
: 439055018.0 2370 0.857
: 439055019.0 2032 0.837
: 439055020.0 2316 0.827
: 439055021.0 2839 0.905
: 439055022.0 2848 0.932
: 439055023.0 2259 0.908
: 439055113.0 2288 0.821
: 439055114.0 2167 0.827
: 439055115.0 2097 0.814
: 439055116.0 2312 0.827
: 439055261.0 3803 0.918
: 439055288.0 2724 0.841
: 439055293.0 2412 0.842
: 439055296.0 2508 0.853
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: 439055298.0 3381 0.900
: 439055299.0 3184 0.929
: 439055303.0 3161 0.862
: 439055305.0 2518 0.851
: 439055308.0 2655 0.847
: 439055309.0 2056 0.829
: 439055310.0 2250 0.841
: 439055312.0 2361 0.837
: 439055316.0 2625 0.852
: 439055319.0 2216 0.829
: 439055328.0 2455 0.829
: 439055329.0 2275 0.835
: 439055332.0 2117 0.802
: 439055349.0 2309 0.822
: 439055352.0 2392 0.834
: 439055360.0 2676 0.843
: 439055362.0 2854 0.852
: 439055367.0 2160 0.808
: 439055373.0 2849 0.918
: 439055374.0 2329 0.828
: 439055378.0 2910 0.885
: 439055379.0 2378 0.934
: 439055380.0 2506 0.880
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: 439055384.0 2196 0.831
: 439055385.0 2222 0.847
: 439055386.0 2031 0.837
: 439055388.0 2401 0.880
: 439055389.0 2737 0.928
: 439055392.0 2769 0.882
: 439055393.0 2888 0.876
: 439055394.0 2189 0.893
: 439055396.0 2374 0.841
: 439055397.0 2155 0.862
: 439055398.0 3374 0.902
: 439055399.0 3408 0.948
: 439055401.0 2272 0.899
: 439055402.0 2528 0.895
: 439055404.0 2116 0.896
: 439055405.0 2952 0.899
: 439055406.0 2032 0.911
: 439055407.0 2825 0.899
: 439055409.0 2172 0.857
: 439055410.0 2449 0.900
: 439055411.0 2306 0.922
: 439055416.0 2049 0.772
: 439055418.0 3328 0.860
: 439055419.0 2290 0.884
: 439055421.0 2186 0.814
: 439055422.0 2483 0.836
: 439055425.0 2487 0.843
: 439055427.0 2061 0.808
: 439055430.0 2524 0.846
: 439055431.0 2029 0.790
: 439055435.0 4741 0.947
: 439055436.0 2709 0.996
: 439055438.0 3071 0.871
: 439055441.0 2249 0.821
: 439055442.0 2463 0.899
: 439055445.0 2245 0.846
: 439055446.0 2299 0.811
: 439055451.0 2619 0.896
: 439055452.0 2072 0.890
: 439055453.0 2703 0.865
: 439055454.0 3991 0.903
: 439055461.0 2333 0.867
: 439055464.0 2073 0.792
: 439055465.0 2768 0.890
: 439055466.0 2203 0.879
: 439055467.0 2856 0.910
: 439055469.0 2703 0.902
: 439055470.0 2427 0.886
: 439055471.0 2227 0.917
: 439055472.0 2957 0.899
: 439055473.0 2362 0.906
: 439055474.0 3030 0.929
: 439055475.0 2259 0.911
: 439055476.0 2338 0.918
: 439055477.0 2645 0.915
: 439055479.0 2138 0.831
: 439055480.0 2914 0.885
: 439055487.0 3924 0.924
: 439055489.0 3816 0.930
: 439055490.0 2610 0.934
: 439055492.0 3331 0.951
: 439055493.0 3381 0.968
: 439055494.0 2895 0.966
: 439055495.0 2116 0.952
: 439055496.0 3232 0.956
: 439055497.0 2957 0.956
: 439055498.0 2593 0.954
: 439055500.0 2525 0.909
: 439055501.0 3275 0.961
: 439055502.0 2790 0.962
: 439055505.0 4381 0.955
: 439055506.0 2449 0.955
: 439055508.0 2801 0.929
: 439055509.0 2137 0.926
: 439055511.0 2950 0.901
: 439055513.0 4188 0.924
: 439055531.0 2548 0.892
: 439055540.0 2322 0.854
: 439055622.0 3413 0.895
: 439055626.0 2100 0.817
: 439055727.0 2023 0.776
: 439055729.0 2899 0.865
: 439055730.0 2262 0.888
: 439055858.0 2012 0.779
: 439056009.0 2571 0.855
: 439056219.0 2245 0.838
: 439056222.0 2276 0.820
: 439056242.0 2346 0.815
: 439056245.0 2296 0.838
Total number of 1 second bins: 7870
Bins with >0 counts : 6651
Bins with >2000 counts : 993
993 of 993 high count rate bins were dominated by noise
Noise dominated 12.62% of total time, 14.93% of detector on time (defined as non-zero counts)