Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 426999066.0  2241  0.864
    : 427005337.0  2352  0.856
    Total number of 1 second bins: 7042
    Bins with >0 counts          : 5370
    Bins with >2000 counts       : 2
    2 of 2 high count rate bins were dominated by noise
    Noise dominated 0.03% of total time, 0.04% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 426999185.0  2401  0.913
    : 427003151.0  2118  0.806
    Total number of 1 second bins: 7042
    Bins with >0 counts          : 5370
    Bins with >2000 counts       : 2
    2 of 2 high count rate bins were dominated by noise
    Noise dominated 0.03% of total time, 0.04% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 2
    : Time   totcounts   fraction
    Total number of 1 second bins: 7042
    Bins with >0 counts          : 5370
    Bins with >2000 counts       : 0
    0 of 0 high count rate bins were dominated by noise
    Noise dominated 0.00% of total time, 0.00% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    : 426999066.0  2521  0.880
    : 426999068.0  2401  0.859
    : 426999069.0  3379  0.934
    : 426999070.0  2582  0.929
    : 426999071.0  2874  0.951
    : 426999072.0  2835  0.972
    : 426999073.0  2587  0.942
    : 426999074.0  2697  0.961
    : 426999075.0  2551  0.939
    : 426999078.0  2106  0.872
    : 426999080.0  3724  0.961
    : 426999081.0  2578  0.919
    : 426999089.0  2471  0.864
    : 426999098.0  3038  0.919
    : 426999100.0  2812  0.912
    : 426999101.0  2057  0.855
    : 426999116.0  2013  0.839
    : 426999120.0  3209  0.901
    : 426999121.0  2023  0.892
    : 426999122.0  2896  0.905
    : 426999132.0  3144  0.973
    : 426999134.0  2892  0.897
    : 426999137.0  3112  0.896
    : 426999156.0  2538  0.892
    : 426999158.0  3039  0.932
    : 426999159.0  2751  0.953
    : 426999160.0  2700  0.969
    : 426999161.0  2171  0.884
    : 426999163.0  3155  0.917
    : 426999166.0  2784  0.888
    : 426999167.0  3018  0.929
    : 426999168.0  2618  0.960
    : 426999169.0  2482  0.935
    : 426999172.0  3296  0.921
    : 426999173.0  2547  0.967
    : 426999174.0  2374  0.917
    : 426999175.0  2497  0.895
    : 426999176.0  2304  0.909
    : 426999178.0  3083  0.907
    : 426999179.0  2315  0.913
    : 426999180.0  2140  0.899
    : 426999182.0  3600  0.930
    : 426999193.0  2867  0.894
    : 426999201.0  2964  0.894
    : 426999204.0  2103  0.868
    : 426999213.0  2089  0.831
    : 426999249.0  2272  0.868
    : 426999253.0  2064  0.888
    : 426999257.0  2158  0.865
    : 426999269.0  3231  0.946
    : 426999273.0  2782  0.907
    : 426999274.0  3054  0.895
    : 426999276.0  2873  0.887
    : 426999277.0  2841  0.949
    : 426999278.0  2407  0.937
    : 426999279.0  2017  0.916
    : 426999280.0  2995  0.931
    : 426999281.0  2204  0.916
    : 426999282.0  3080  0.929
    : 426999283.0  2260  0.912
    : 426999284.0  2375  0.880
    : 426999345.0  3093  0.905
    : 426999346.0  2831  0.970
    : 426999359.0  2999  0.908
    : 426999371.0  2208  0.866
    : 426999372.0  2264  0.857
    : 426999375.0  3259  0.916
    : 426999376.0  2432  0.949
    : 426999401.0  4377  0.953
    : 426999402.0  2596  0.945
    : 426999404.0  2176  0.908
    : 426999405.0  2890  0.981
    : 426999407.0  2256  0.845
    : 426999408.0  3495  0.935
    : 426999411.0  3158  0.925
    : 426999412.0  2052  0.897
    : 426999413.0  2526  0.918
    : 426999416.0  3501  0.928
    : 426999419.0  2070  0.844
    : 426999420.0  2840  0.890
    : 426999421.0  2615  0.937
    : 426999422.0  2165  0.899
    : 426999423.0  2400  0.903
    : 426999424.0  2409  0.917
    : 426999426.0  2230  0.834
    : 426999428.0  2427  0.871
    : 426999432.0  4015  0.955
    : 426999433.0  2518  0.953
    : 426999434.0  2055  0.894
    : 426999435.0  2735  0.973
    : 426999436.0  2084  0.901
    : 426999437.0  2076  0.859
    : 426999439.0  3450  0.912
    : 426999440.0  2649  0.960
    : 426999441.0  2721  0.929
    : 426999442.0  2346  0.921
    : 426999443.0  2655  0.929
    : 426999445.0  3367  0.949
    : 426999446.0  2436  0.911
    : 426999447.0  2728  0.956
    : 426999448.0  2264  0.904
    : 426999449.0  3145  0.928
    : 426999450.0  2717  0.932
    : 426999451.0  2732  0.956
    : 426999452.0  2073  0.902
    : 426999453.0  3003  0.958
    : 426999454.0  2587  0.934
    : 426999455.0  2201  0.903
    : 426999456.0  2781  0.965
    : 426999457.0  2501  0.937
    : 426999459.0  3324  0.919
    : 426999462.0  4021  0.932
    : 426999464.0  2446  0.894
    : 426999465.0  3762  0.913
    : 426999466.0  2720  0.938
    : 426999467.0  2506  0.910
    : 426999468.0  2789  0.953
    : 426999469.0  2647  0.976
    : 426999470.0  2689  0.969
    : 426999471.0  2635  0.946
    : 426999472.0  2395  0.925
    : 426999474.0  3086  0.916
    : 426999478.0  3384  0.908
    : 426999479.0  2015  0.874
    : 426999482.0  2905  0.889
    : 426999483.0  2376  0.932
    : 426999485.0  2729  0.929
    : 426999488.0  3520  0.928
    : 426999489.0  2335  0.922
    : 426999490.0  2728  0.905
    : 426999630.0  2987  0.896
    : 426999683.0  3872  0.982
    : 426999684.0  2641  0.980
    : 426999685.0  2612  0.956
    : 426999686.0  2797  0.937
    : 426999687.0  2414  0.929
    : 426999688.0  2415  0.925
    : 426999689.0  2913  0.958
    : 426999692.0  2264  0.885
    : 426999694.0  3173  0.918
    : 426999695.0  2608  0.920
    : 426999696.0  2068  0.881
    : 426999698.0  2976  0.957
    : 426999709.0  2201  0.849
    : 426999715.0  2857  0.900
    : 426999727.0  2369  0.857
    : 426999732.0  2617  0.875
    : 426999734.0  3256  0.974
    : 426999735.0  2748  0.963
    : 426999736.0  2793  0.976
    : 426999737.0  2733  0.995
    : 426999738.0  2457  0.996
    : 426999739.0  2675  0.964
    : 426999740.0  2473  0.931
    : 426999750.0  2881  0.897
    : 426999752.0  2716  0.907
    : 426999753.0  3116  0.917
    : 426999761.0  2100  0.875
    : 426999764.0  2790  0.892
    : 426999765.0  2735  0.954
    : 426999830.0  3828  0.954
    : 426999844.0  2528  0.869
    : 426999847.0  2752  0.890
    : 426999853.0  2158  0.875
    : 426999859.0  2686  0.895
    : 426999900.0  4386  0.939
    : 426999944.0  2361  0.875
    : 427000017.0  2423  0.907
    : 427000033.0  3052  0.931
    : 427000041.0  3170  0.910
    : 427000050.0  3029  0.911
    : 427000052.0  2175  0.870
    : 427000065.0  2673  0.884
    : 427000068.0  3358  0.919
    : 427000069.0  2299  0.994
    : 427000122.0  4232  0.974
    : 427000125.0  2810  0.907
    : 427000135.0  2651  0.891
    : 427000136.0  2517  0.941
    : 427000137.0  2506  0.933
    : 427000138.0  2578  0.951
    : 427000139.0  2855  0.987
    : 427000143.0  3389  0.928
    : 427000149.0  3309  0.921
    : 427000150.0  2494  0.941
    : 427000155.0  2155  0.865
    : 427000209.0  2166  0.866
    : 427000211.0  3017  0.903
    : 427001022.0  2662  0.879
    : 427001023.0  2056  0.905
    : 427001025.0  2394  0.874
    : 427001026.0  2971  0.948
    : 427001039.0  2698  0.898
    : 427001041.0  2591  0.887
    : 427001042.0  2229  0.855
    : 427001043.0  2312  0.867
    : 427001046.0  2870  0.887
    : 427001048.0  2011  0.847
    : 427001049.0  2097  0.861
    : 427001052.0  2714  0.896
    : 427001053.0  2437  0.891
    : 427001056.0  2015  0.834
    : 427001060.0  2030  0.860
    : 427001061.0  2372  0.879
    : 427001071.0  2927  0.916
    : 427001072.0  2476  0.918
    : 427001073.0  2475  0.954
    : 427001074.0  2280  0.907
    : 427001075.0  2738  0.960
    : 427001076.0  2613  0.971
    : 427001077.0  2637  0.960
    : 427001078.0  2841  0.967
    : 427001079.0  2801  0.964
    : 427001080.0  2815  0.967
    : 427001081.0  2180  0.906
    : 427001082.0  2361  0.911
    : 427001083.0  2962  0.953
    : 427001085.0  2666  0.921
    : 427001086.0  2032  0.888
    : 427001087.0  2360  0.897
    : 427001088.0  2899  0.916
    : 427001089.0  2532  0.914
    : 427001090.0  2425  0.885
    : 427001091.0  2452  0.898
    : 427001092.0  2365  0.916
    : 427001093.0  2296  0.930
    : 427001094.0  2566  0.911
    : 427001095.0  2090  0.895
    : 427001096.0  2275  0.896
    : 427001097.0  3014  0.942
    : 427001099.0  2300  0.890
    : 427001136.0  2319  0.875
    : 427001137.0  3005  0.957
    : 427001138.0  2531  0.977
    : 427001139.0  2350  0.943
    : 427001141.0  2057  0.882
    : 427001145.0  2661  0.870
    : 427001150.0  2155  0.844
    : 427001151.0  2683  0.916
    : 427001152.0  2189  0.876
    : 427001153.0  2271  0.889
    : 427001154.0  2961  0.914
    : 427001158.0  3169  0.911
    : 427001180.0  2753  0.899
    : 427001220.0  2169  0.850
    : 427001223.0  2405  0.900
    : 427001228.0  2137  0.854
    : 427001230.0  2077  0.819
    : 427001231.0  2138  0.933
    : 427001232.0  2190  0.944
    : 427001234.0  2417  0.903
    : 427001238.0  3529  0.913
    : 427001244.0  2202  0.878
    : 427001245.0  2072  0.895
    : 427001246.0  2281  0.917
    : 427001247.0  2297  0.952
    : 427001250.0  2256  0.883
    : 427001254.0  2259  0.887
    : 427001256.0  2061  0.869
    : 427001257.0  2028  0.834
    : 427001271.0  2451  0.878
    : 427001272.0  2548  0.879
    : 427001273.0  2261  0.890
    : 427001285.0  2033  0.858
    : 427001286.0  2611  0.887
    : 427001291.0  2622  0.889
    : 427001331.0  2341  0.877
    : 427001435.0  2860  0.897
    : 427001437.0  2461  0.857
    : 427001439.0  2327  0.866
    : 427001460.0  2475  0.859
    : 427001475.0  3669  0.923
    : 427001476.0  2486  0.972
    : 427001477.0  2129  0.893
    : 427001480.0  3191  0.893
    : 427001481.0  2008  0.886
    : 427001482.0  2170  0.904
    : 427001487.0  2890  0.906
    : 427002161.0  3120  0.907
    : 427002162.0  2209  0.882
    : 427002165.0  2358  0.866
    : 427002167.0  2158  0.886
    : 427002169.0  2399  0.957
    : 427002170.0  2196  0.918
    : 427002171.0  2427  0.923
    : 427002172.0  2375  0.958
    : 427002174.0  2809  0.922
    : 427002177.0  2148  0.815
    : 427002178.0  2091  0.847
    : 427002179.0  2132  0.838
    : 427002188.0  2274  0.837
    : 427002189.0  2993  0.953
    : 427002191.0  3297  0.907
    : 427002402.0  2163  0.827
    : 427002403.0  2340  0.952
    : 427002404.0  2035  0.917
    : 427002405.0  2259  0.963
    : 427002407.0  2346  0.919
    : 427002408.0  2017  0.911
    : 427002409.0  2600  0.977
    : 427002417.0  2622  0.892
    : 427002418.0  2379  0.924
    : 427002430.0  2598  0.904
    : 427002433.0  2034  0.856
    : 427002440.0  2424  0.893
    : 427002441.0  2269  0.948
    : 427002504.0  2394  0.839
    : 427002507.0  2671  0.864
    : 427002553.0  2089  0.825
    : 427002769.0  2366  0.857
    : 427002850.0  2232  0.862
    : 427002887.0  2015  0.855
    : 427002889.0  2150  0.802
    : 427002908.0  2347  0.824
    : 427002984.0  2121  0.836
    : 427002991.0  2431  0.883
    : 427003013.0  2041  0.844
    : 427003030.0  2564  0.870
    : 427003032.0  2171  0.859
    : 427003076.0  2090  0.822
    : 427003077.0  2937  0.900
    : 427003078.0  2573  0.898
    : 427003205.0  2436  0.828
    : 427003206.0  2030  0.893
    : 427003256.0  2191  0.815
    : 427003440.0  2010  0.900
    : 427003441.0  2704  0.922
    : 427003445.0  2608  0.875
    : 427003460.0  2506  0.884
    : 427003577.0  2403  0.872
    : 427003588.0  3149  0.958
    : 427003609.0  2106  0.860
    : 427005343.0  2272  0.868
    : 427005392.0  2328  0.891
    : 427005400.0  2604  0.896
    : 427005401.0  2667  0.998
    : 427005403.0  2061  0.838
    : 427005416.0  2717  0.920
    : 427005467.0  3006  0.892
    : 427005468.0  2192  0.869
    : 427005787.0  2368  0.870
    : 427005789.0  3402  0.965
    : 427005790.0  2768  0.992
    : 427005791.0  2656  0.947
    : 427005792.0  2716  0.963
    : 427005793.0  2766  0.954
    : 427005794.0  2856  0.978
    : 427005795.0  2716  0.956
    : 427005796.0  2863  0.985
    : 427005797.0  2827  0.987
    : 427005798.0  2661  0.993
    : 427005861.0  2925  0.904
    : 427005866.0  2401  0.879
    : 427005868.0  2202  0.867
    : 427005871.0  2356  0.869
    : 427005878.0  2803  0.905
    : 427005880.0  2993  0.911
    : 427005881.0  2215  0.908
    : 427005883.0  3165  0.907
    : 427005884.0  2768  0.944
    : 427005885.0  2668  0.949
    : 427005895.0  2138  0.859
    : 427005902.0  2078  0.856
    : 427005903.0  2919  0.897
    : 427005904.0  2364  0.926
    : 427005905.0  2513  0.962
    : 427005906.0  2138  0.964
    : 427005907.0  2467  0.973
    : 427005908.0  2426  0.965
    : 427005909.0  2082  0.894
    : 427005958.0  2546  0.886
    : 427005959.0  2463  0.862
    : 427005960.0  2324  0.890
    : 427005971.0  2227  0.953
    : 427005972.0  2177  0.939
    : 427005995.0  2819  0.883
    : 427005996.0  2813  0.968
    : 427006011.0  2578  0.893
    : 427006029.0  2357  0.853
    : 427006040.0  2079  0.859
    : 427006056.0  3407  0.919
    : 427006058.0  2754  0.921
    : 427006064.0  3826  0.936
    Total number of 1 second bins: 7041
    Bins with >0 counts          : 5369
    Bins with >2000 counts       : 383
    383 of 383 high count rate bins were dominated by noise
    Noise dominated 5.44% of total time, 7.13% of detector on time (defined as non-zero counts)