Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 403495477.0 3112 0.878
: 403495478.0 2447 0.896
: 403495479.0 2537 0.963
: 403495482.0 2508 0.852
: 403495492.0 2464 0.843
: 403501747.0 2186 0.849
: 403501748.0 2197 0.836
Total number of 1 second bins: 7395
Bins with >0 counts : 5273
Bins with >2000 counts : 7
7 of 7 high count rate bins were dominated by noise
Noise dominated 0.09% of total time, 0.13% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 403495607.0 2605 0.827
: 403495608.0 2080 0.860
: 403495609.0 2597 0.907
: 403495610.0 2508 0.924
: 403495612.0 3129 0.925
: 403495613.0 2115 0.866
: 403495625.0 2686 0.844
: 403495626.0 2448 0.926
: 403495628.0 3543 0.924
: 403495637.0 3476 0.912
: 403498809.0 2506 0.855
: 403498810.0 2481 0.920
: 403498811.0 2358 0.917
: 403498894.0 2566 0.866
: 403498895.0 2590 0.956
: 403499435.0 2011 0.777
Total number of 1 second bins: 7395
Bins with >0 counts : 5273
Bins with >2000 counts : 16
16 of 16 high count rate bins were dominated by noise
Noise dominated 0.22% of total time, 0.30% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 403495476.0 2607 0.922
: 403495477.0 2650 0.948
: 403495478.0 2549 0.903
: 403495479.0 2119 0.853
: 403495600.0 2294 0.826
: 403495608.0 2739 0.843
: 403495630.0 2911 0.934
: 403495634.0 2835 0.899
: 403495674.0 2113 0.823
: 403495675.0 2018 0.800
: 403495687.0 2067 0.816
: 403495695.0 2066 0.789
: 403495696.0 2430 0.853
: 403495729.0 2226 0.830
: 403495811.0 3820 0.939
: 403495839.0 2182 0.841
: 403495873.0 3264 0.978
: 403495876.0 3864 0.947
: 403495877.0 2262 0.884
: 403495878.0 2220 0.858
: 403495879.0 2943 0.903
: 403495880.0 2521 0.928
: 403495881.0 2668 0.936
: 403495882.0 2409 0.905
: 403495884.0 3259 0.929
: 403495885.0 2569 0.903
: 403495886.0 2673 0.925
: 403495887.0 2342 0.893
: 403495888.0 2697 0.925
: 403495889.0 2196 0.898
: 403495896.0 3045 0.888
: 403495898.0 2198 0.819
: 403495899.0 2305 0.847
: 403495900.0 2701 0.860
: 403495929.0 4428 0.963
: 403495930.0 2735 0.997
: 403495931.0 2889 0.990
: 403495932.0 2302 0.867
: 403495935.0 2370 0.828
: 403495945.0 2898 0.904
: 403495946.0 2303 0.888
: 403495947.0 2583 0.891
: 403495948.0 2571 0.926
: 403495950.0 3180 0.941
: 403495978.0 3106 0.884
: 403495981.0 3648 0.918
: 403495982.0 2050 0.931
: 403495983.0 2563 0.970
: 403495984.0 2713 0.915
: 403495985.0 2602 0.940
: 403495986.0 2664 0.901
: 403495987.0 2765 0.930
: 403495988.0 2476 0.901
: 403495989.0 2038 0.878
: 403495990.0 2362 0.862
: 403495991.0 2569 0.916
: 403495992.0 2906 0.977
: 403496023.0 2407 0.871
: 403496095.0 2209 0.841
: 403496151.0 3455 0.900
: 403496152.0 2682 0.925
: 403496153.0 2275 0.898
: 403496154.0 2511 0.863
: 403496155.0 2582 0.880
: 403496156.0 2263 0.868
: 403496157.0 2539 0.927
: 403496158.0 2602 0.928
: 403496159.0 2595 0.910
: 403496160.0 2196 0.885
: 403496161.0 2775 0.914
: 403496162.0 2001 0.859
: 403496163.0 2314 0.847
: 403496164.0 2910 0.912
: 403496165.0 2640 0.903
: 403496166.0 2214 0.871
: 403496168.0 2720 0.892
: 403496169.0 2350 0.849
: 403496171.0 2405 0.863
: 403496172.0 2321 0.827
: 403496173.0 2257 0.848
: 403496174.0 2452 0.854
: 403496176.0 3203 0.880
: 403496178.0 2030 0.814
: 403496180.0 2579 0.879
: 403496181.0 2584 0.902
: 403496230.0 2289 0.854
: 403496231.0 2337 0.820
: 403496242.0 2985 0.920
: 403496243.0 2753 0.957
: 403496244.0 2128 0.896
: 403496245.0 2867 0.878
: 403496249.0 3662 0.924
: 403496251.0 2877 0.924
: 403496252.0 2846 0.954
: 403496253.0 2929 0.980
: 403496255.0 3003 0.898
: 403496256.0 2730 0.968
: 403496258.0 3720 0.967
: 403496262.0 3970 0.961
: 403496264.0 3018 0.891
: 403496266.0 2130 0.831
: 403496267.0 2988 0.903
: 403496322.0 3143 0.902
: 403496323.0 2376 0.900
: 403496324.0 2485 0.885
: 403496326.0 2585 0.865
: 403496817.0 2373 0.852
: 403496818.0 3115 0.908
: 403496819.0 2701 0.913
: 403496820.0 2744 0.942
: 403496821.0 2740 0.967
: 403496822.0 2896 0.998
: 403496823.0 2811 1.000
: 403496824.0 2776 0.997
: 403496825.0 2698 1.000
: 403496826.0 2667 1.000
: 403496827.0 2711 1.000
: 403496828.0 2694 1.000
: 403496829.0 2746 1.000
: 403496830.0 2686 1.000
: 403496831.0 2634 1.000
: 403496832.0 2942 0.993
: 403496833.0 2871 1.000
: 403496834.0 2907 0.999
: 403496835.0 2936 0.991
: 403496836.0 2719 0.972
: 403496837.0 2855 0.967
: 403496838.0 2863 0.959
: 403496839.0 2765 0.949
: 403496840.0 2856 0.997
: 403496841.0 2993 0.995
: 403496842.0 2880 0.992
: 403496843.0 2840 0.998
: 403496844.0 2562 0.996
: 403496851.0 3844 0.975
: 403496853.0 2446 0.869
: 403496854.0 3056 0.898
: 403496855.0 2031 0.877
: 403497013.0 2339 0.846
: 403497074.0 2218 0.838
: 403497079.0 2860 0.906
: 403497094.0 3490 0.947
: 403497095.0 2748 0.920
: 403497097.0 3582 0.943
: 403497106.0 2630 0.870
: 403497124.0 2162 0.858
: 403497140.0 2030 0.826
: 403497141.0 2039 0.869
: 403497142.0 2220 0.880
: 403497154.0 2776 0.884
: 403497155.0 2750 0.909
: 403497161.0 3253 0.907
: 403497166.0 3304 0.936
: 403497172.0 2251 0.845
: 403497199.0 2806 0.914
: 403497200.0 2796 0.995
: 403497201.0 2602 0.919
: 403497202.0 2836 0.949
: 403497203.0 2818 0.968
: 403497232.0 2861 0.893
: 403497233.0 2055 0.878
: 403497236.0 3068 0.930
: 403497266.0 2820 0.877
: 403497267.0 2328 0.851
: 403497268.0 2977 0.944
: 403497271.0 3096 0.944
: 403497280.0 3559 0.936
: 403497281.0 2716 0.908
: 403497283.0 3015 0.927
: 403497284.0 3130 0.926
: 403497285.0 2783 0.960
: 403497286.0 2780 0.945
: 403497289.0 2907 0.884
: 403497290.0 3034 0.955
: 403497291.0 2731 0.930
: 403497292.0 2642 0.934
: 403497293.0 2575 0.917
: 403497294.0 2739 0.963
: 403497297.0 3500 0.921
: 403497298.0 2889 0.983
: 403497299.0 2864 0.995
: 403497301.0 2516 0.895
: 403497302.0 2852 0.911
: 403497303.0 2520 0.915
: 403497309.0 2696 0.954
: 403497310.0 2793 0.952
: 403497311.0 2875 0.975
: 403497312.0 2583 0.970
: 403497313.0 2490 0.972
: 403497314.0 2744 0.950
: 403497315.0 2520 0.901
: 403497317.0 2640 0.856
: 403497318.0 2749 0.915
: 403497320.0 2798 0.885
: 403497321.0 2774 0.916
: 403497322.0 2635 0.972
: 403497323.0 2563 0.910
: 403497325.0 2969 0.893
: 403497326.0 2551 0.915
: 403497335.0 2638 0.885
: 403497339.0 3839 0.921
: 403497340.0 2776 0.957
: 403497341.0 2901 0.979
: 403497342.0 2687 0.948
: 403497343.0 2594 0.936
: 403497344.0 2786 1.000
: 403497345.0 2739 0.997
: 403497346.0 2919 0.983
: 403497347.0 2886 0.988
: 403497348.0 2937 0.985
: 403497349.0 2917 0.966
: 403497350.0 2921 0.988
: 403497351.0 2839 0.961
: 403497352.0 2885 0.980
: 403497353.0 2768 0.982
: 403497354.0 2888 0.980
: 403497355.0 2890 0.986
: 403497356.0 2857 0.985
: 403497357.0 2907 0.997
: 403497358.0 2852 0.991
: 403497359.0 2842 0.992
: 403497360.0 2860 0.992
: 403497361.0 2621 0.991
: 403497362.0 2871 0.994
: 403497363.0 2764 0.987
: 403497364.0 2906 0.995
: 403497365.0 2903 0.988
: 403497366.0 2808 1.000
: 403497367.0 2823 1.000
: 403497368.0 2819 0.966
: 403497369.0 2922 0.998
: 403497370.0 2969 0.993
: 403497371.0 2802 0.990
: 403497372.0 2799 0.999
: 403497373.0 2862 0.996
: 403497374.0 2869 0.995
: 403497375.0 2844 0.985
: 403497376.0 2850 0.997
: 403497377.0 2731 1.000
: 403497378.0 2812 0.994
: 403497379.0 2813 0.986
: 403497380.0 2855 0.976
: 403497381.0 2982 0.982
: 403497382.0 2675 0.939
: 403497383.0 2299 0.913
: 403497384.0 3178 0.939
: 403497385.0 2891 0.957
: 403497390.0 3219 0.923
: 403497391.0 2796 0.957
: 403497395.0 3831 0.913
: 403497396.0 2459 0.943
: 403497398.0 2536 0.870
: 403497403.0 4042 0.940
: 403497405.0 2517 0.898
: 403497406.0 2580 0.933
: 403497407.0 2918 0.985
: 403497408.0 2844 0.960
: 403497409.0 2766 0.936
: 403497425.0 3719 0.956
: 403497426.0 2660 0.911
: 403497427.0 2385 0.889
: 403497428.0 2985 0.954
: 403497434.0 2355 0.848
: 403498570.0 2368 0.872
: 403498574.0 2620 0.861
: 403498591.0 2075 0.813
: 403498598.0 2892 0.931
: 403498604.0 3049 0.929
: 403498606.0 2116 0.799
: 403498625.0 2660 0.924
: 403498628.0 2118 0.839
: 403498662.0 3384 0.914
: 403498666.0 2459 0.844
: 403498781.0 2202 0.829
: 403498782.0 3580 0.939
: 403498783.0 2020 0.869
: 403498794.0 2213 0.815
: 403499106.0 2860 0.887
: 403499107.0 2644 0.940
: 403499108.0 2421 0.928
: 403499110.0 2952 0.917
: 403499193.0 2402 0.854
: 403499598.0 3404 0.941
: 403499613.0 2399 0.848
: 403501747.0 2801 0.889
: 403501748.0 2570 0.894
Total number of 1 second bins: 7395
Bins with >0 counts : 5273
Bins with >2000 counts : 286
286 of 286 high count rate bins were dominated by noise
Noise dominated 3.87% of total time, 5.42% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 403495483.0 2156 0.836
: 403495494.0 2078 0.825
: 403495761.0 2478 0.825
: 403495762.0 2508 0.896
: 403499065.0 2672 0.854
: 403499085.0 2519 0.877
: 403499099.0 2217 0.815
: 403499106.0 2101 0.802
: 403499121.0 2103 0.800
: 403499147.0 2006 0.796
: 403499153.0 2110 0.827
: 403499349.0 2293 0.838
: 403499350.0 2554 0.828
: 403499351.0 2089 0.860
: 403499353.0 2001 0.774
: 403502367.0 3477 0.931
Total number of 1 second bins: 7395
Bins with >0 counts : 5273
Bins with >2000 counts : 16
16 of 16 high count rate bins were dominated by noise
Noise dominated 0.22% of total time, 0.30% of detector on time (defined as non-zero counts)