Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 433069278.0 2878 0.882
: 433069337.0 2006 0.878
: 433069343.0 2029 0.879
: 433069357.0 2486 0.901
: 433069488.0 4109 0.919
: 433069495.0 2499 0.872
: 433069499.0 2542 0.866
: 433069551.0 2474 0.857
: 433069617.0 2846 0.895
: 433069618.0 2741 0.918
: 433069623.0 2583 0.884
: 433069625.0 3820 0.965
: 433069626.0 2623 0.940
: 433069627.0 2727 0.937
: 433069646.0 2486 0.893
: 433069654.0 2681 0.866
: 433069669.0 3177 0.938
: 433069670.0 2639 0.944
: 433069671.0 2208 0.920
: 433069679.0 3046 0.912
: 433069681.0 2463 0.944
: 433069683.0 2423 0.978
: 433069686.0 2701 0.902
: 433069690.0 3293 0.929
: 433069691.0 2091 0.908
: 433069692.0 2194 0.909
: 433069695.0 2235 0.933
: 433069697.0 2317 0.951
: 433069703.0 2276 0.851
: 433069704.0 2945 0.885
: 433069706.0 2306 0.932
: 433069748.0 2573 0.862
: 433069839.0 2565 0.873
: 433069841.0 2545 0.870
: 433069843.0 2221 0.832
: 433069844.0 3288 0.953
: 433069845.0 2396 0.950
: 433069847.0 2141 0.821
: 433069993.0 2407 0.855
: 433069994.0 3975 0.952
: 433071602.0 2019 0.857
: 433072198.0 2386 0.879
: 433074697.0 2027 0.890
: 433074698.0 2137 0.860
: 433074699.0 2054 0.833
: 433074964.0 2840 0.917
: 433074965.0 3075 0.957
: 433074966.0 2471 0.991
: 433074967.0 2532 0.994
: 433074968.0 2649 0.995
: 433074969.0 2343 0.997
: 433074970.0 2195 1.000
: 433074971.0 2270 0.998
: 433074972.0 2596 0.987
: 433074973.0 2576 0.978
: 433074976.0 2204 0.891
: 433074977.0 2240 0.887
: 433074980.0 2261 0.936
: 433074981.0 2205 0.930
: 433074982.0 2444 0.953
: 433074983.0 2498 0.964
: 433074984.0 2667 0.978
: 433074985.0 2471 0.975
: 433074986.0 2835 0.993
: 433074988.0 2286 1.000
: 433074989.0 2399 1.000
: 433074990.0 2255 1.000
: 433075048.0 2793 0.900
: 433075049.0 2863 0.882
: 433075051.0 2698 0.860
: 433075082.0 4317 0.944
: 433075083.0 2896 0.976
: 433075084.0 2495 0.917
: 433075085.0 2600 0.969
: 433075086.0 2541 0.957
: 433075089.0 2568 0.845
: 433075150.0 2799 0.904
: 433075151.0 2174 0.983
: 433075170.0 2530 0.852
: 433075189.0 2249 0.873
: 433075238.0 3855 0.912
: 433075239.0 2363 0.948
: 433075318.0 2609 0.873
: 433075378.0 2037 0.868
: 433075393.0 3910 0.941
Total number of 1 second bins: 7041
Bins with >0 counts : 4888
Bins with >2000 counts : 85
85 of 85 high count rate bins were dominated by noise
Noise dominated 1.21% of total time, 1.74% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 433069684.0 2161 0.851
: 433069924.0 2550 0.862
: 433069925.0 2881 0.910
: 433069926.0 2870 0.971
: 433069927.0 2752 0.964
: 433069928.0 2742 0.987
: 433069929.0 2071 0.916
: 433069930.0 3177 0.962
: 433069932.0 3895 0.954
: 433069933.0 2871 0.964
: 433069934.0 2780 0.961
: 433069935.0 2733 0.984
: 433069936.0 2691 0.971
: 433069937.0 2857 0.979
: 433069938.0 2898 0.969
: 433069939.0 2641 0.945
: 433069940.0 2674 0.960
: 433069941.0 2772 0.977
: 433069942.0 2775 0.964
: 433069943.0 2787 0.971
: 433069944.0 2794 0.982
: 433069945.0 2870 0.968
: 433069946.0 2669 0.946
: 433069947.0 2746 0.965
: 433069948.0 2642 0.954
: 433069949.0 2389 0.941
: 433069950.0 2537 0.942
: 433069951.0 2551 0.967
: 433069952.0 2780 0.964
: 433069953.0 2820 0.964
: 433069954.0 2610 0.957
: 433069955.0 2636 0.936
: 433069956.0 2760 0.956
: 433069957.0 2747 0.972
: 433069958.0 2814 0.979
: 433069959.0 2662 0.978
: 433069960.0 2861 0.997
: 433069961.0 2933 0.989
: 433069962.0 2826 0.972
: 433069963.0 2739 0.977
: 433069964.0 2705 0.959
: 433069965.0 2742 0.974
: 433069966.0 2920 0.984
: 433069975.0 2554 0.875
: 433069977.0 2065 0.852
: 433069980.0 2273 0.868
: 433069981.0 2005 0.869
: 433069984.0 2301 0.871
: 433069985.0 2974 0.900
: 433069986.0 2837 0.913
: 433069989.0 3350 0.922
: 433069999.0 2076 0.850
: 433070001.0 2207 0.834
: 433070002.0 3271 0.914
: 433070003.0 2301 0.919
: 433070004.0 2737 0.922
: 433070010.0 2298 0.875
: 433070019.0 2123 0.827
: 433070021.0 2021 0.838
: 433070024.0 3484 0.909
: 433070025.0 2713 0.915
: 433070026.0 2141 0.926
: 433070027.0 2836 0.957
: 433070028.0 2842 0.980
: 433070029.0 2513 0.935
: 433070030.0 2866 0.958
: 433070031.0 2622 0.957
: 433070032.0 2654 0.931
: 433070035.0 2889 0.930
: 433070036.0 2087 0.910
: 433070037.0 2570 0.916
: 433070046.0 2206 0.865
: 433070047.0 2649 0.927
: 433070048.0 3358 0.937
: 433070049.0 2746 0.936
: 433070051.0 3113 0.929
: 433070053.0 2676 0.957
: 433070054.0 2502 0.932
: 433070055.0 2258 0.912
: 433070056.0 2500 0.927
: 433070059.0 3238 0.900
: 433070060.0 2158 0.920
: 433070061.0 2896 0.930
: 433070062.0 3381 0.960
: 433070066.0 3228 0.917
: 433070067.0 2813 0.919
: 433070069.0 2051 0.828
: 433070070.0 3093 0.894
: 433070071.0 3280 0.926
: 433070072.0 2486 0.947
: 433070073.0 2699 0.950
: 433070075.0 2882 0.917
: 433070076.0 2735 0.939
: 433070078.0 2145 0.855
: 433070079.0 2375 0.868
: 433070080.0 3347 0.957
: 433070081.0 2627 0.938
: 433070093.0 2524 0.879
: 433070094.0 2007 0.844
: 433070096.0 2970 0.900
: 433070097.0 2430 0.936
: 433070098.0 2355 0.931
: 433070099.0 2548 0.947
: 433070100.0 2682 0.945
: 433070101.0 2557 0.945
: 433070104.0 2978 0.888
: 433070106.0 2547 0.857
: 433070107.0 2759 0.905
: 433070108.0 2351 1.000
: 433070109.0 2316 1.000
: 433070110.0 2059 0.954
: 433070112.0 2620 0.905
: 433070116.0 2829 0.910
: 433070118.0 2055 0.915
: 433070130.0 2549 0.880
: 433070131.0 2252 0.984
: 433070135.0 3534 0.940
: 433070256.0 2863 0.984
: 433070269.0 2015 0.853
: 433070330.0 2146 0.855
: 433070331.0 3052 1.000
: 433070332.0 2712 1.000
: 433070333.0 2650 0.979
: 433070334.0 2698 0.989
: 433070335.0 2606 0.980
: 433070336.0 2684 0.953
: 433070337.0 2581 0.931
: 433070349.0 2173 0.828
: 433070352.0 2034 0.882
: 433070353.0 3667 0.960
: 433070371.0 4473 0.983
: 433070372.0 2578 0.997
: 433070373.0 2628 0.961
: 433070374.0 2873 0.979
: 433070375.0 2150 0.902
: 433070376.0 2539 0.941
: 433070377.0 2751 0.985
: 433070378.0 2808 0.996
: 433070379.0 2886 0.973
: 433070380.0 2565 0.985
: 433070381.0 2725 0.982
: 433070382.0 2774 0.972
: 433070383.0 2243 0.969
: 433070395.0 3074 0.898
: 433070397.0 2998 0.885
: 433070398.0 2929 0.978
: 433070399.0 2362 1.000
: 433070400.0 2419 1.000
: 433070401.0 2461 1.000
: 433070402.0 2402 1.000
: 433070404.0 2549 0.909
: 433070406.0 2387 1.000
: 433070407.0 2225 1.000
: 433070408.0 2314 1.000
: 433070409.0 2062 1.000
: 433070410.0 2722 0.997
: 433070411.0 2428 1.000
: 433070412.0 2291 1.000
: 433070413.0 2132 0.935
: 433070414.0 2503 1.000
: 433070415.0 2164 1.000
: 433070416.0 2378 1.000
: 433070417.0 2434 1.000
: 433070418.0 2676 0.962
: 433070419.0 2781 0.978
: 433070420.0 2875 0.987
: 433070421.0 2272 0.974
: 433070422.0 2871 0.979
: 433070423.0 2795 0.991
: 433070424.0 2742 0.993
: 433070425.0 2284 0.965
: 433070426.0 2068 0.923
: 433070428.0 3017 0.918
: 433070433.0 2072 0.835
: 433070434.0 2910 0.908
: 433070435.0 2428 0.916
: 433070436.0 3145 0.960
: 433070442.0 3862 0.934
: 433070443.0 2288 0.917
: 433070444.0 2085 0.911
: 433070445.0 2287 0.908
: 433070446.0 3259 0.948
: 433070448.0 2594 0.872
: 433070449.0 2901 0.928
: 433070450.0 3024 0.981
: 433070451.0 2898 0.989
: 433070454.0 4166 0.949
: 433070455.0 2412 1.000
: 433070456.0 2249 0.971
: 433070457.0 2563 0.991
: 433070458.0 2722 0.988
: 433070459.0 2872 0.988
: 433070460.0 2781 0.976
: 433070461.0 2794 0.974
: 433070462.0 2825 0.984
: 433070463.0 2766 0.965
: 433070464.0 2580 0.951
: 433070465.0 2673 0.976
: 433070466.0 2692 0.960
: 433070467.0 2553 0.978
: 433070468.0 2710 0.977
: 433070469.0 2086 0.920
: 433070470.0 3223 0.977
: 433070471.0 2857 0.970
: 433070474.0 3646 0.935
: 433070482.0 2837 0.899
: 433070483.0 2709 0.976
: 433070484.0 2466 0.968
: 433070485.0 2687 0.964
: 433070486.0 2756 0.968
: 433070487.0 2595 0.949
: 433070488.0 2786 0.954
: 433070489.0 2866 0.965
: 433070491.0 2198 0.890
: 433070493.0 3322 0.950
: 433070500.0 4734 0.976
: 433070501.0 2625 0.990
: 433070502.0 2535 0.993
: 433070503.0 2791 0.985
: 433070504.0 2852 0.996
: 433070505.0 2114 0.992
: 433070506.0 2728 0.998
: 433070507.0 2650 1.000
: 433070508.0 2746 1.000
: 433070509.0 2227 1.000
: 433070510.0 2022 0.968
: 433070518.0 2002 0.983
: 433070521.0 2212 0.958
: 433070523.0 2025 1.000
: 433070532.0 2018 0.999
: 433070534.0 2030 0.987
: 433070536.0 2668 0.982
: 433070543.0 2828 0.986
: 433070544.0 2841 0.988
: 433070545.0 2898 0.990
: 433070546.0 2917 0.986
: 433070547.0 2459 0.989
: 433070548.0 2844 0.984
: 433070549.0 2789 0.987
: 433070550.0 2834 0.993
: 433070551.0 2860 0.990
: 433070552.0 2648 1.000
: 433070553.0 2641 0.987
: 433070554.0 2817 0.981
: 433070555.0 2818 0.992
: 433070556.0 2520 0.983
: 433070557.0 2547 0.977
: 433070558.0 2872 0.993
: 433070559.0 2764 0.999
: 433070560.0 2613 0.992
: 433070561.0 2726 1.000
: 433070562.0 2762 1.000
: 433070567.0 3628 0.998
: 433070568.0 2770 1.000
: 433070569.0 2854 0.994
: 433070570.0 2670 0.970
: 433070571.0 2200 0.956
: 433070572.0 2781 0.966
: 433070573.0 2718 0.970
: 433070574.0 2725 0.982
: 433070575.0 2310 0.969
: 433070576.0 2860 0.981
: 433070577.0 2751 0.945
: 433070578.0 2833 0.956
: 433070579.0 2785 0.954
: 433070580.0 2673 0.951
: 433070581.0 2623 0.985
: 433070582.0 2707 0.973
: 433070583.0 2520 0.981
: 433070584.0 2149 0.931
: 433070585.0 3119 0.986
: 433070586.0 2546 0.995
: 433070587.0 2717 0.996
: 433070588.0 2744 0.997
: 433070589.0 2695 0.994
: 433070590.0 2651 1.000
: 433070591.0 2802 1.000
: 433070592.0 2775 0.999
: 433070593.0 2779 0.993
: 433070594.0 2694 0.998
: 433070595.0 2829 1.000
: 433070596.0 2724 0.996
: 433070597.0 2714 1.000
: 433070598.0 2742 0.997
: 433070599.0 2753 0.996
: 433070600.0 2792 0.977
: 433070601.0 2706 0.970
: 433070602.0 2517 0.973
: 433070603.0 2478 0.972
: 433070604.0 2500 0.962
: 433070606.0 2330 0.973
: 433070607.0 2667 0.979
: 433070608.0 2800 0.980
: 433070609.0 2760 0.985
: 433070610.0 2717 0.965
: 433070611.0 2755 0.989
: 433070612.0 2872 0.985
: 433070613.0 2790 0.986
: 433070614.0 2763 0.977
: 433070615.0 2771 0.991
: 433070616.0 2420 0.977
: 433070617.0 2670 0.954
: 433070618.0 2772 0.980
: 433070619.0 2773 0.978
: 433070620.0 2727 0.978
: 433070621.0 2671 0.988
: 433070622.0 2680 0.971
: 433070623.0 2864 0.978
: 433070624.0 2612 0.980
: 433070625.0 2771 0.977
: 433070626.0 2699 0.980
: 433070627.0 2443 0.973
: 433070628.0 2795 0.980
: 433070629.0 2658 0.965
: 433070630.0 2748 0.973
: 433070631.0 2578 0.971
: 433070632.0 2625 0.965
: 433070633.0 2734 0.969
: 433070634.0 2753 0.954
: 433070635.0 2709 0.969
: 433070636.0 2792 0.972
: 433070637.0 2627 0.961
: 433070638.0 2776 0.976
: 433070639.0 2820 0.971
: 433070640.0 2742 0.972
: 433070641.0 2748 0.971
: 433070642.0 2532 0.981
: 433070643.0 2644 0.973
: 433070644.0 2790 0.963
: 433070645.0 2866 0.982
: 433070646.0 2551 0.958
: 433070647.0 2497 0.972
: 433070648.0 2089 0.954
: 433070649.0 2363 0.962
: 433070650.0 2769 0.961
: 433070651.0 2896 0.966
: 433070652.0 2870 0.964
: 433070653.0 2493 0.941
: 433070654.0 2856 0.976
: 433070655.0 2873 0.980
: 433070656.0 2806 0.959
: 433070657.0 2649 0.966
: 433070658.0 2564 0.947
: 433070659.0 2860 0.972
: 433070660.0 2672 0.942
: 433070661.0 2484 0.957
: 433070662.0 2797 0.974
: 433070663.0 2738 0.972
: 433070664.0 2435 0.951
: 433070665.0 2636 0.965
: 433070666.0 2604 0.949
: 433070667.0 2713 0.962
: 433070668.0 2589 0.944
: 433070671.0 3891 0.924
: 433070672.0 2664 0.954
: 433070673.0 2697 0.950
: 433070674.0 2589 0.940
: 433070675.0 2436 0.934
: 433070676.0 2461 0.921
: 433070677.0 2709 0.953
: 433070678.0 2615 0.938
: 433070679.0 2631 0.944
: 433070680.0 2648 0.959
: 433070681.0 2438 0.914
: 433070682.0 2008 0.947
: 433070683.0 2521 0.965
: 433070684.0 2255 0.959
: 433070685.0 2806 0.980
: 433070686.0 2652 0.966
: 433070687.0 2591 0.970
: 433070688.0 2763 0.974
: 433070689.0 2683 0.969
: 433070690.0 2720 0.967
: 433070691.0 2615 0.958
: 433070692.0 2801 0.965
: 433070693.0 2720 0.955
: 433070694.0 2469 0.962
: 433070695.0 2516 0.952
: 433070696.0 2859 0.980
: 433070697.0 2622 0.965
: 433070698.0 2774 0.955
: 433070699.0 2667 0.956
: 433070700.0 2810 0.964
: 433070701.0 2682 0.957
: 433070702.0 2457 0.954
: 433070703.0 2404 0.939
: 433070704.0 2575 0.958
: 433070706.0 2961 0.921
: 433070707.0 2585 0.933
: 433070708.0 2302 0.909
: 433070709.0 2273 0.919
: 433070710.0 2597 0.943
: 433070711.0 2200 0.930
: 433070712.0 2475 0.934
: 433070713.0 2655 0.927
: 433070714.0 2595 0.951
: 433070715.0 2662 0.959
: 433070716.0 2649 0.957
: 433070717.0 2242 0.911
: 433070806.0 2922 0.886
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: 433070809.0 3699 0.928
: 433070810.0 2654 0.946
: 433070823.0 2523 0.855
: 433070826.0 4000 0.920
: 433070827.0 2119 0.916
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: 433070896.0 3459 0.943
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: 433070910.0 2459 0.951
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: 433070912.0 2727 0.981
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: 433070914.0 2610 0.964
: 433070918.0 3031 0.914
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: 433070924.0 2033 0.910
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: 433070927.0 3387 0.923
: 433070929.0 2578 0.964
: 433070931.0 2658 0.885
: 433070948.0 3282 0.878
: 433070949.0 3276 0.924
: 433070952.0 4215 0.932
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: 433070954.0 2783 0.933
: 433070955.0 2657 0.951
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: 433070957.0 2120 0.896
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: 433070960.0 2727 0.880
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: 433070963.0 3291 0.947
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: 433070967.0 2422 0.863
: 433070969.0 3924 0.969
: 433070972.0 3361 0.946
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: 433071005.0 2500 0.943
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: 433071034.0 2789 0.966
: 433071035.0 2368 0.938
: 433071036.0 2595 0.926
: 433071037.0 2021 0.929
: 433071038.0 3124 0.923
: 433071039.0 2470 0.921
: 433071040.0 2731 0.951
: 433071041.0 2602 0.945
: 433071043.0 3016 0.926
: 433071048.0 2142 0.848
: 433071049.0 2977 0.880
: 433071051.0 2639 0.880
: 433071052.0 2776 0.910
: 433071053.0 2939 0.934
: 433071054.0 2750 0.956
: 433071055.0 2777 0.959
: 433071056.0 2455 0.949
: 433071057.0 2666 0.953
: 433071058.0 2616 0.979
: 433071059.0 2530 0.937
: 433071061.0 4290 0.938
: 433071062.0 2389 0.933
: 433071066.0 2281 0.848
: 433071072.0 2860 0.873
: 433071073.0 2977 0.931
: 433071075.0 2170 0.854
: 433071077.0 2356 0.867
: 433071079.0 2169 0.832
: 433071080.0 2317 0.844
: 433071081.0 2007 0.830
: 433071086.0 2448 0.858
Total number of 1 second bins: 7041
Bins with >0 counts : 4888
Bins with >2000 counts : 503
503 of 503 high count rate bins were dominated by noise
Noise dominated 7.14% of total time, 10.29% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 433074895.0 2158 0.840
Total number of 1 second bins: 7041
Bins with >0 counts : 4888
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
: 433069190.0 4195 0.933
: 433070264.0 2111 0.855
: 433070280.0 2677 0.880
: 433070285.0 2671 0.896
: 433070292.0 2174 0.867
: 433070312.0 2942 0.903
: 433070318.0 3199 0.897
: 433070320.0 2589 0.886
: 433070330.0 2162 0.830
: 433070332.0 2857 0.905
: 433070333.0 3770 0.971
: 433070334.0 2559 0.950
: 433070340.0 2009 0.821
: 433070341.0 2024 0.868
: 433070343.0 2027 0.840
: 433070346.0 2083 0.858
: 433070350.0 2363 0.862
: 433070361.0 2074 0.859
: 433070362.0 2734 0.895
: 433070363.0 2056 0.856
: 433070364.0 2483 0.918
: 433070365.0 2591 0.893
: 433070366.0 2373 0.945
: 433070368.0 3196 0.905
: 433070369.0 2536 0.978
: 433070371.0 2453 0.905
: 433070372.0 2285 0.849
: 433070514.0 2971 0.902
: 433072401.0 2846 0.869
: 433072402.0 2835 0.928
: 433072403.0 2545 0.923
Total number of 1 second bins: 7041
Bins with >0 counts : 4888
Bins with >2000 counts : 31
31 of 31 high count rate bins were dominated by noise
Noise dominated 0.44% of total time, 0.63% of detector on time (defined as non-zero counts)