Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 444561368.0 2030 0.815
: 444561586.0 2112 0.849
: 444561969.0 2061 0.820
: 444562082.0 2924 0.870
: 444562085.0 2402 0.845
: 444562095.0 2073 0.825
: 444562097.0 2183 0.849
: 444562098.0 2108 0.872
: 444562100.0 2116 0.847
: 444562101.0 2869 0.883
: 444562102.0 3033 0.897
: 444562107.0 2319 0.827
: 444562108.0 3305 0.915
: 444562109.0 2269 0.894
: 444562115.0 2118 0.841
: 444562135.0 3390 0.966
: 444562136.0 2206 0.917
: 444562138.0 2534 0.874
: 444562140.0 2191 0.820
: 444562143.0 2530 0.839
: 444562149.0 3105 0.879
: 444562150.0 2237 0.895
: 444562156.0 2025 0.803
: 444562158.0 2002 0.877
: 444562165.0 2721 0.861
: 444562166.0 2737 0.908
: 444562167.0 2670 0.918
: 444562641.0 2977 0.901
: 444562680.0 2178 0.831
: 444562681.0 2018 0.836
: 444562682.0 3008 0.881
: 444562684.0 3163 0.882
: 444562692.0 2423 0.846
: 444562693.0 2012 0.855
: 444562694.0 2135 0.815
: 444562729.0 2387 0.840
: 444562737.0 2468 0.844
: 444562738.0 2570 0.838
: 444562758.0 2694 0.869
: 444562759.0 2604 0.882
: 444562770.0 3758 0.933
: 444562820.0 2158 0.838
: 444562822.0 2226 0.835
: 444562823.0 2100 0.845
: 444562835.0 2472 0.840
: 444562901.0 2060 0.800
: 444562902.0 2226 0.817
: 444562903.0 2214 0.859
: 444562916.0 2853 0.875
: 444562917.0 2372 0.884
: 444562957.0 2035 0.762
: 444562972.0 2059 0.797
: 444562977.0 2023 0.783
: 444563063.0 3156 0.887
: 444563064.0 2561 0.912
: 444563065.0 2124 0.886
: 444563080.0 3379 0.887
: 444563082.0 2378 0.861
: 444563117.0 2801 0.831
: 444563184.0 2016 0.770
: 444563185.0 2675 0.853
: 444563196.0 2231 0.676
: 444563197.0 2360 0.896
: 444563198.0 2402 0.925
: 444563199.0 2114 0.925
: 444563295.0 2030 0.813
: 444564361.0 2134 0.887
: 444565065.0 2013 0.837
: 444565683.0 3099 0.891
: 444565684.0 2038 0.853
: 444565685.0 2290 0.905
: 444565688.0 3991 0.917
Total number of 1 second bins: 7564
Bins with >0 counts : 6509
Bins with >2000 counts : 72
72 of 72 high count rate bins were dominated by noise
Noise dominated 0.95% of total time, 1.11% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 444559919.0 4109 0.934
: 444559920.0 2536 0.954
: 444559921.0 2857 0.957
: 444559922.0 2429 0.955
: 444559923.0 2509 0.951
: 444559924.0 2736 0.960
: 444559925.0 2634 0.949
: 444559926.0 2609 0.978
: 444559927.0 2561 0.947
: 444559928.0 2672 0.954
: 444559929.0 2631 0.982
: 444559932.0 2990 0.898
: 444559933.0 2328 0.875
: 444559935.0 2184 0.860
: 444559936.0 2201 0.842
: 444559937.0 2239 0.868
: 444559938.0 2021 0.880
: 444559939.0 3599 0.910
: 444559940.0 2483 0.908
: 444559941.0 2557 0.901
: 444559943.0 2523 0.918
: 444559944.0 2884 0.921
: 444559946.0 2597 0.891
: 444560129.0 3669 0.921
: 444560479.0 2561 0.866
: 444561311.0 2302 0.838
: 444561757.0 2261 0.836
: 444561928.0 3115 0.899
: 444561931.0 3224 0.893
: 444561932.0 2100 0.900
: 444561934.0 2782 0.900
: 444561935.0 2370 0.950
: 444565260.0 4401 0.932
: 444565277.0 2443 0.876
: 444565280.0 2577 0.909
: 444565282.0 3066 0.888
Total number of 1 second bins: 7563
Bins with >0 counts : 6509
Bins with >2000 counts : 36
36 of 36 high count rate bins were dominated by noise
Noise dominated 0.48% of total time, 0.55% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 444558243.0 2811 1.000
: 444558244.0 2782 1.000
: 444558245.0 2733 0.993
: 444558246.0 2774 0.992
: 444558247.0 2934 0.996
: 444558248.0 2819 0.981
: 444558249.0 2848 0.993
: 444558250.0 2814 0.992
: 444558251.0 2825 0.995
: 444558252.0 2744 0.995
: 444558253.0 2889 0.988
: 444558254.0 2139 0.976
: 444558255.0 2842 0.990
: 444558256.0 2907 0.994
: 444558257.0 2903 0.984
: 444558258.0 2708 0.988
: 444558259.0 2771 0.988
: 444558260.0 2949 0.983
: 444558261.0 2904 0.991
: 444558262.0 2857 0.995
: 444558263.0 2914 0.999
: 444558264.0 2890 0.994
: 444558265.0 2469 0.923
: 444558266.0 2909 0.970
: 444558267.0 2878 0.996
: 444558268.0 2502 0.936
: 444558269.0 2691 0.986
: 444558270.0 2878 0.995
: 444558271.0 2845 1.000
: 444558272.0 2751 0.992
: 444558273.0 2851 0.997
: 444558274.0 2914 0.995
: 444558275.0 2636 0.975
: 444558276.0 2752 0.987
: 444558277.0 2803 1.000
: 444558278.0 2794 1.000
: 444558279.0 2883 0.992
: 444558280.0 2869 0.994
: 444558281.0 2514 0.928
: 444558282.0 2776 0.987
: 444558283.0 2828 0.990
: 444558284.0 2873 0.994
: 444558285.0 2924 0.980
: 444558286.0 2865 0.969
: 444558287.0 2825 0.997
: 444558288.0 2852 0.988
: 444558289.0 2906 1.000
: 444558291.0 4251 0.965
: 444558292.0 2650 0.992
: 444558293.0 2850 0.974
: 444558294.0 2829 0.975
: 444558295.0 2960 0.984
: 444558296.0 2297 0.960
: 444558298.0 3520 0.986
: 444558299.0 2801 0.955
: 444558300.0 2746 0.946
: 444558301.0 2736 0.948
: 444558302.0 2943 0.979
: 444558303.0 2794 0.943
: 444558304.0 2872 0.949
: 444558305.0 2626 0.958
: 444558306.0 2334 0.956
: 444558307.0 2641 0.938
: 444558308.0 2796 0.918
: 444558309.0 2750 0.960
: 444558310.0 2521 0.947
: 444558311.0 2827 0.972
: 444558312.0 2715 0.945
: 444558313.0 2725 0.946
: 444558314.0 2676 0.946
: 444558315.0 2576 0.952
: 444558316.0 2223 0.954
: 444558317.0 2650 0.959
: 444558318.0 2869 0.971
: 444558319.0 2001 0.925
: 444558320.0 3053 0.929
: 444558322.0 2560 0.858
: 444558324.0 2023 0.836
: 444558325.0 2054 0.828
: 444558326.0 2136 0.809
: 444558332.0 2069 0.807
: 444558474.0 3626 0.909
: 444558482.0 2418 0.842
: 444558555.0 2369 0.872
: 444558569.0 2175 0.813
: 444558579.0 2381 0.831
: 444558580.0 2812 0.960
: 444558584.0 2921 0.890
: 444558588.0 2326 0.845
: 444558589.0 3702 0.949
: 444558590.0 2545 0.951
: 444558591.0 2099 0.873
: 444558592.0 2846 0.956
: 444558593.0 2853 0.985
: 444558594.0 2877 0.995
: 444558595.0 2691 0.941
: 444558597.0 4097 0.983
: 444558598.0 2830 0.989
: 444558599.0 2952 0.979
: 444558600.0 2766 0.986
: 444558601.0 2919 0.985
: 444558602.0 2798 0.970
: 444558603.0 2644 0.974
: 444558604.0 2637 0.975
: 444558605.0 2810 0.972
: 444558606.0 2881 0.989
: 444558607.0 2691 0.975
: 444558608.0 2820 0.993
: 444558609.0 2808 0.999
: 444558610.0 2817 0.963
: 444558611.0 2552 0.964
: 444558612.0 2818 0.972
: 444558613.0 2841 0.994
: 444558614.0 2909 0.988
: 444558615.0 2870 0.994
: 444558616.0 2895 0.991
: 444558617.0 2890 0.988
: 444558618.0 2868 0.982
: 444558619.0 2896 0.995
: 444558620.0 2811 0.970
: 444558621.0 2799 0.992
: 444558622.0 2714 1.000
: 444558623.0 2778 1.000
: 444558624.0 2688 0.994
: 444558625.0 2787 1.000
: 444558626.0 2860 1.000
: 444558627.0 2538 0.988
: 444558628.0 2823 0.998
: 444558629.0 2745 0.969
: 444558630.0 2808 0.974
: 444558631.0 2781 0.980
: 444558632.0 2776 0.988
: 444558633.0 2869 0.973
: 444558634.0 2933 0.985
: 444558635.0 2845 0.990
: 444558636.0 2825 0.985
: 444558637.0 2814 1.000
: 444558638.0 2762 1.000
: 444558639.0 2835 0.995
: 444558640.0 2846 0.996
: 444558641.0 2781 0.999
: 444558642.0 2890 0.997
: 444558643.0 2807 0.997
: 444558644.0 2768 0.998
: 444558645.0 2835 0.991
: 444558646.0 2885 0.983
: 444558647.0 2950 0.989
: 444558648.0 2915 0.998
: 444558649.0 2818 0.993
: 444558650.0 2746 0.988
: 444558651.0 2952 0.993
: 444558652.0 2924 0.994
: 444558653.0 2793 0.987
: 444558654.0 2463 0.996
: 444558655.0 2773 0.999
: 444558656.0 2753 0.996
: 444558657.0 2749 0.992
: 444558658.0 2693 0.995
: 444558659.0 2744 0.999
: 444558660.0 2748 0.993
: 444558661.0 2825 1.000
: 444558662.0 2899 0.996
: 444558663.0 2914 0.991
: 444558664.0 2685 0.980
: 444558665.0 2751 0.984
: 444558666.0 2888 0.995
: 444558667.0 2539 0.976
: 444558668.0 2774 0.988
: 444558669.0 2814 0.993
: 444558670.0 2832 0.987
: 444558671.0 2795 0.992
: 444558672.0 2798 0.992
: 444558683.0 4779 0.956
: 444558684.0 2679 0.969
: 444558688.0 2511 0.865
: 444558691.0 3806 0.916
: 444558693.0 2920 0.920
: 444558697.0 2099 0.839
: 444558698.0 3091 0.905
: 444558700.0 4025 0.922
: 444558701.0 2389 0.914
: 444558702.0 2726 0.930
: 444558703.0 2872 0.952
: 444558704.0 2531 0.924
: 444558705.0 2761 0.951
: 444558706.0 2932 0.978
: 444558707.0 2671 0.951
: 444558709.0 3595 0.945
: 444558710.0 2583 0.941
: 444558711.0 2415 0.907
: 444558712.0 3018 0.952
: 444558713.0 2830 0.966
: 444558714.0 2747 0.959
: 444558715.0 2647 0.963
: 444558716.0 2493 0.963
: 444558717.0 2784 0.948
: 444558718.0 2851 0.958
: 444558719.0 2832 0.972
: 444558720.0 2881 0.990
: 444558721.0 2876 0.969
: 444558722.0 2266 0.935
: 444558723.0 2832 0.955
: 444558724.0 2771 0.960
: 444558725.0 2795 0.959
: 444558726.0 2831 0.967
: 444558727.0 2768 0.965
: 444558728.0 2959 0.989
: 444558729.0 2571 0.968
: 444558730.0 2517 0.963
: 444558731.0 2822 0.966
: 444558732.0 2178 0.907
: 444558733.0 3015 0.962
: 444558734.0 2767 0.955
: 444558735.0 2736 0.940
: 444558736.0 2524 0.937
: 444558737.0 2755 0.918
: 444558738.0 2459 0.915
: 444558739.0 2118 0.907
: 444558740.0 3431 0.939
: 444558741.0 2916 0.985
: 444558742.0 2667 0.952
: 444558743.0 2024 0.900
: 444558756.0 2296 0.815
: 444558757.0 2299 0.847
: 444558763.0 3607 0.996
: 444558764.0 2692 0.999
: 444558765.0 2832 0.988
: 444558766.0 2793 0.996
: 444558767.0 2699 0.997
: 444558768.0 2798 1.000
: 444558769.0 2656 0.998
: 444558770.0 2767 0.991
: 444558771.0 2841 0.990
: 444558772.0 2802 1.000
: 444558773.0 2914 0.993
: 444558774.0 2720 0.980
: 444558775.0 2833 0.977
: 444558776.0 2640 0.921
: 444558777.0 2884 0.968
: 444558778.0 2812 0.986
: 444558779.0 2910 0.980
: 444558780.0 2925 0.984
: 444558781.0 2984 0.979
: 444558782.0 2813 0.938
: 444558783.0 2896 0.967
: 444558784.0 2877 0.977
: 444558785.0 2881 0.959
: 444558786.0 2880 0.965
: 444558787.0 2413 0.952
: 444558788.0 2712 0.947
: 444558790.0 3732 0.943
: 444558791.0 2896 0.951
: 444558829.0 2498 0.892
: 444558834.0 3076 0.917
: 444558835.0 2437 0.984
: 444558836.0 2862 0.983
: 444558837.0 2955 0.993
: 444558838.0 2955 0.993
: 444558840.0 3074 0.892
: 444558876.0 2656 0.868
: 444558902.0 4281 0.954
: 444558903.0 2852 0.985
: 444558904.0 2795 0.995
: 444558905.0 2674 1.000
: 444558906.0 2511 0.999
: 444558907.0 2515 1.000
: 444558908.0 2626 1.000
: 444558909.0 2712 1.000
: 444558910.0 2659 1.000
: 444558911.0 2649 1.000
: 444558912.0 2726 1.000
: 444558913.0 2783 0.999
: 444558914.0 2534 0.933
: 444558917.0 2374 0.858
: 444558918.0 2645 0.943
: 444558919.0 2880 0.931
: 444558938.0 2566 0.827
: 444558947.0 5196 0.978
: 444558948.0 2811 0.989
: 444558949.0 2826 0.973
: 444558950.0 2750 0.945
: 444558954.0 3469 0.976
: 444559239.0 3783 0.996
: 444559241.0 3323 0.938
: 444559250.0 3802 0.971
: 444559585.0 2520 0.867
: 444560091.0 2794 0.884
: 444560345.0 2912 0.895
: 444560761.0 2110 0.887
: 444562018.0 3391 0.921
: 444562019.0 3838 0.975
: 444562022.0 4014 0.943
: 444562023.0 2641 0.938
: 444562024.0 2492 0.917
: 444562025.0 2222 0.919
: 444562026.0 2640 0.897
: 444562027.0 2874 0.959
Total number of 1 second bins: 7563
Bins with >0 counts : 6509
Bins with >2000 counts : 297
297 of 297 high count rate bins were dominated by noise
Noise dominated 3.93% of total time, 4.56% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 444558243.0 2418 0.965
: 444558245.0 2533 0.872
: 444558247.0 2033 0.837
: 444558248.0 2696 0.869
: 444558249.0 2461 0.899
: 444558250.0 3401 0.925
: 444558252.0 2711 0.963
: 444558253.0 2432 0.983
: 444558254.0 2140 0.982
: 444558255.0 2022 0.905
: 444558257.0 3423 0.960
: 444558258.0 2725 0.996
: 444558259.0 2408 1.000
: 444558260.0 2572 0.987
: 444558261.0 2470 0.981
: 444558262.0 2719 0.982
: 444558264.0 2927 0.861
: 444558265.0 3074 0.919
: 444558266.0 2779 0.965
: 444558267.0 2454 0.931
: 444558268.0 2411 0.973
: 444558269.0 2418 0.982
: 444558270.0 2447 0.946
: 444558271.0 2713 0.957
: 444558272.0 2317 0.937
: 444558273.0 2819 0.951
: 444558274.0 2873 0.964
: 444558275.0 2915 0.980
: 444558276.0 2701 0.960
: 444558277.0 2849 0.971
: 444558278.0 2575 0.946
: 444558279.0 2510 0.962
: 444558280.0 2402 0.933
: 444558281.0 2364 0.931
: 444558282.0 3078 0.982
: 444558283.0 2807 0.973
: 444558284.0 2861 0.964
: 444558285.0 2054 0.908
: 444558286.0 3280 0.981
: 444558287.0 2586 0.924
: 444558288.0 2292 0.923
: 444558291.0 3579 0.916
: 444558292.0 2720 0.970
: 444558293.0 2854 0.976
: 444558294.0 2720 0.985
: 444558295.0 2536 0.981
: 444558296.0 2518 0.971
: 444558297.0 2635 0.976
: 444558298.0 2746 0.965
: 444558301.0 2346 0.845
: 444558302.0 3069 0.982
: 444558303.0 2729 0.971
: 444558304.0 2423 0.947
: 444558305.0 2612 0.971
: 444558306.0 2815 0.995
: 444558307.0 2628 0.992
: 444558308.0 2763 0.977
: 444558309.0 2752 0.955
: 444558310.0 2512 0.934
: 444558311.0 2437 0.968
: 444558312.0 2842 0.982
: 444558313.0 2664 0.969
: 444558314.0 2616 0.957
: 444558316.0 4659 0.942
: 444558317.0 2780 0.949
: 444558319.0 4217 0.945
: 444558320.0 2347 0.957
: 444558321.0 2216 0.901
: 444558332.0 2629 0.851
: 444558334.0 3485 0.901
: 444558349.0 2420 0.831
: 444558378.0 2374 0.863
: 444558383.0 4119 0.942
: 444558392.0 2031 0.829
: 444558396.0 2186 0.831
: 444558400.0 2852 0.879
: 444558402.0 2624 0.875
: 444558444.0 2271 0.859
: 444558469.0 2179 0.842
: 444558475.0 2763 0.887
: 444558476.0 2728 0.874
: 444558477.0 2858 0.930
: 444558483.0 2677 0.860
: 444558485.0 2557 0.863
: 444558488.0 3466 0.929
: 444558501.0 2325 0.859
: 444558502.0 2081 0.856
: 444558518.0 2339 0.862
: 444558535.0 2870 0.890
: 444558558.0 2008 0.818
: 444558559.0 2638 0.875
: 444558571.0 2758 0.901
: 444558628.0 2170 0.842
: 444558630.0 3341 0.906
: 444558631.0 2663 0.910
: 444558638.0 2344 0.856
: 444558639.0 2260 0.871
: 444558650.0 4059 0.929
: 444558651.0 2691 0.967
: 444558652.0 2691 0.964
: 444558653.0 2484 0.979
: 444558656.0 3426 0.914
: 444558663.0 2239 0.867
: 444558694.0 2930 0.871
: 444558756.0 2552 0.851
: 444558824.0 3893 0.907
: 444558834.0 2598 0.884
: 444558860.0 3625 0.936
: 444558862.0 2252 0.841
: 444558877.0 2104 0.820
: 444558878.0 2621 0.903
: 444558903.0 3317 0.917
: 444558904.0 2334 0.899
: 444558905.0 3289 0.912
: 444558915.0 2426 0.836
: 444558916.0 2084 0.824
: 444558952.0 2053 0.837
: 444558996.0 3161 0.889
: 444559014.0 2079 0.827
: 444559096.0 2516 0.876
: 444559097.0 2613 0.874
: 444559221.0 2308 0.841
: 444559229.0 2598 0.861
: 444559230.0 2171 0.864
: 444559232.0 2591 0.864
: 444559236.0 2260 0.861
: 444559237.0 2111 0.837
: 444559238.0 2049 0.846
: 444559239.0 2075 0.848
: 444559240.0 2503 0.875
: 444559253.0 2485 0.878
: 444559255.0 2346 0.856
: 444559256.0 2694 0.889
: 444559274.0 2248 0.836
: 444559289.0 2263 0.843
: 444559292.0 2348 0.867
: 444559319.0 2407 0.871
: 444559320.0 2583 0.870
: 444559324.0 2654 0.860
: 444559327.0 2606 0.870
: 444559333.0 2395 0.849
: 444559334.0 2032 0.834
: 444559342.0 2240 0.825
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: 444563122.0 2727 0.846
: 444563128.0 4196 0.923
: 444563129.0 2736 0.962
: 444563130.0 2641 0.952
: 444563131.0 2350 0.955
: 444563132.0 2719 0.970
: 444563139.0 2518 0.834
: 444563146.0 2804 0.826
: 444563148.0 2616 0.847
: 444563155.0 3422 0.924
: 444563167.0 2160 0.744
: 444563218.0 2658 0.725
: 444563226.0 2111 0.655
: 444563234.0 2011 0.676
: 444563258.0 2416 0.697
: 444563262.0 2418 0.695
: 444563263.0 2051 0.865
: 444564446.0 2727 0.847
: 444564447.0 2642 0.964
: 444564457.0 2175 0.822
: 444564517.0 2147 0.848
: 444564535.0 2990 0.922
: 444564548.0 2064 0.850
: 444564555.0 2161 0.826
: 444564556.0 2049 0.827
: 444564618.0 2108 0.826
: 444564619.0 2653 0.888
: 444564620.0 2642 0.897
: 444564621.0 2644 0.944
: 444564624.0 2817 0.872
: 444564625.0 2414 0.842
: 444564627.0 2559 0.839
: 444564628.0 2548 0.956
: 444564629.0 2018 0.968
: 444564630.0 2250 0.965
: 444564631.0 2180 0.971
: 444564632.0 2168 0.948
: 444564633.0 2197 0.935
: 444564634.0 2298 0.945
: 444564635.0 2455 0.928
: 444564637.0 2055 0.880
: 444564641.0 2182 0.902
: 444564642.0 2349 0.870
: 444564646.0 2449 0.891
: 444564648.0 2056 0.877
: 444564651.0 2042 0.833
: 444564671.0 2198 0.825
: 444564672.0 2615 0.970
: 444564673.0 2773 0.987
: 444564674.0 2469 0.999
: 444564675.0 2726 0.993
: 444564676.0 2483 0.953
: 444564678.0 2085 0.864
: 444564679.0 2170 0.873
: 444564747.0 2210 0.898
: 444564759.0 3605 0.981
: 444564760.0 2547 0.968
: 444564761.0 2835 0.983
: 444564762.0 2876 0.988
: 444564763.0 2891 0.989
: 444564764.0 2686 0.971
: 444564765.0 2684 0.999
: 444564766.0 2525 0.963
: 444564767.0 2587 0.978
: 444564769.0 2204 0.858
: 444564770.0 2120 0.850
: 444564782.0 2035 0.850
: 444564786.0 2728 0.884
: 444564787.0 2951 0.905
: 444564877.0 2264 0.865
: 444564879.0 2215 0.844
: 444564880.0 2221 0.864
: 444564881.0 2368 0.863
: 444564882.0 2630 0.905
: 444564883.0 2192 0.874
: 444564886.0 2146 0.842
: 444565026.0 2450 0.886
: 444565027.0 2394 0.867
: 444565028.0 2455 0.867
: 444565029.0 2383 0.845
: 444565032.0 2409 0.859
: 444565033.0 2305 0.849
: 444565035.0 2183 0.849
: 444565036.0 2037 0.822
: 444565038.0 2008 0.814
: 444565041.0 2015 0.821
: 444565055.0 2221 0.851
: 444565056.0 2726 0.887
: 444565057.0 2614 0.888
: 444565058.0 2652 0.899
: 444565059.0 2197 0.898
: 444565061.0 2894 0.902
: 444565074.0 2360 0.864
: 444565100.0 2329 0.849
: 444565103.0 2462 0.887
: 444565223.0 2394 0.849
: 444565228.0 3675 0.927
: 444565369.0 2482 0.865
: 444565375.0 2681 0.897
: 444565389.0 3629 0.940
: 444565390.0 2763 0.955
: 444565391.0 2763 0.944
: 444565392.0 2411 0.942
: 444565393.0 2882 0.994
: 444565394.0 2396 0.981
: 444565395.0 2037 0.999
: 444565396.0 2384 0.976
: 444565397.0 2484 0.958
: 444565398.0 2334 0.985
: 444565426.0 3178 0.896
: 444565427.0 2036 0.903
: 444565464.0 2381 0.865
: 444565642.0 3086 0.905
: 444565643.0 2500 0.896
: 444565644.0 2103 0.840
: 444565661.0 2876 0.923
: 444565663.0 2617 0.972
: 444565669.0 3076 0.911
: 444565670.0 2685 0.908
: 444565672.0 2893 0.924
: 444565673.0 2269 0.943
: 444565674.0 2361 0.953
: 444565675.0 2375 0.955
: 444565683.0 2770 0.909
: 444565684.0 2666 0.926
: 444565694.0 2191 0.843
: 444565695.0 3454 0.937
: 444565696.0 2379 0.934
: 444565697.0 2634 0.930
: 444565698.0 2609 0.952
: 444565699.0 2792 0.963
: 444565700.0 2878 0.969
: 444565708.0 2606 0.853
: 444565711.0 2932 0.882
: 444565713.0 2002 0.832
: 444565715.0 2993 0.887
: 444565729.0 2629 0.838
: 444565732.0 2706 0.892
: 444565736.0 2219 0.852
: 444565741.0 3529 0.918
Total number of 1 second bins: 7563
Bins with >0 counts : 6508
Bins with >2000 counts : 854
854 of 854 high count rate bins were dominated by noise
Noise dominated 11.29% of total time, 13.12% of detector on time (defined as non-zero counts)