Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 426967747.0  2347  0.861
    : 426967748.0  2212  0.828
    : 426974016.0  2325  0.837
    Total number of 1 second bins: 7097
    Bins with >0 counts          : 5126
    Bins with >2000 counts       : 3
    3 of 3 high count rate bins were dominated by noise
    Noise dominated 0.04% of total time, 0.06% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 426967928.0  2244  0.789
    : 426968769.0  2140  0.839
    : 426968993.0  2319  0.831
    : 426969000.0  2530  0.876
    : 426974029.0  2311  0.846
    Total number of 1 second bins: 7097
    Bins with >0 counts          : 5126
    Bins with >2000 counts       : 5
    5 of 5 high count rate bins were dominated by noise
    Noise dominated 0.07% of total time, 0.10% 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: 7097
    Bins with >0 counts          : 5126
    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
    : 426967771.0  2178  0.813
    : 426967772.0  3049  0.949
    : 426967773.0  2315  0.908
    : 426967955.0  2660  0.874
    : 426967956.0  2338  0.916
    : 426967957.0  2124  0.925
    : 426967959.0  2373  0.820
    : 426967965.0  2017  0.837
    : 426967966.0  2655  0.846
    : 426967974.0  2184  0.859
    : 426968013.0  2090  0.876
    : 426968016.0  2118  0.858
    : 426968017.0  2449  0.903
    : 426968019.0  2744  0.877
    : 426968124.0  2296  0.836
    : 426968174.0  2379  0.932
    : 426968175.0  2505  1.000
    : 426968176.0  2385  1.000
    : 426968177.0  2536  0.999
    : 426968178.0  2497  1.000
    : 426968179.0  2119  1.000
    : 426968182.0  2144  1.000
    : 426968183.0  2366  1.000
    : 426968184.0  2585  1.000
    : 426968261.0  2241  0.811
    : 426968402.0  3294  0.911
    : 426968403.0  3004  0.969
    : 426968405.0  2579  0.938
    : 426968407.0  2937  0.883
    : 426968488.0  2092  0.844
    : 426968498.0  2105  0.834
    : 426968524.0  2899  0.887
    : 426968525.0  3080  0.913
    : 426968585.0  2696  0.876
    : 426968586.0  3040  0.942
    : 426968587.0  2036  0.885
    : 426968601.0  2298  0.861
    : 426968641.0  3444  0.912
    : 426968643.0  3452  0.923
    : 426968644.0  2666  0.928
    : 426968646.0  2007  0.850
    : 426968660.0  2224  0.833
    : 426968662.0  3135  0.905
    : 426968665.0  2291  0.842
    : 426968666.0  2204  0.833
    : 426968668.0  2476  0.886
    : 426968670.0  3217  0.899
    : 426968671.0  2625  0.913
    : 426968672.0  2993  0.954
    : 426968673.0  2290  0.911
    : 426968674.0  2237  0.887
    : 426968687.0  2009  0.833
    : 426968729.0  3386  0.900
    : 426968740.0  2340  0.876
    : 426968799.0  2178  0.837
    : 426968807.0  2160  0.845
    : 426968831.0  2636  0.879
    : 426968832.0  2329  0.892
    : 426968920.0  2135  0.840
    : 426968925.0  2241  0.850
    : 426968981.0  3874  0.940
    : 426968983.0  2194  0.867
    : 426968998.0  2109  0.841
    : 426969220.0  2193  0.882
    : 426969228.0  2120  0.833
    : 426969267.0  2232  0.868
    : 426969280.0  2311  0.862
    : 426969288.0  2428  0.907
    : 426969289.0  3573  0.942
    : 426969334.0  3084  0.914
    : 426969430.0  2039  0.842
    : 426969431.0  2415  0.891
    : 426969454.0  3708  0.944
    : 426969455.0  2462  1.000
    : 426969456.0  2428  0.984
    : 426969457.0  2575  0.973
    : 426969458.0  2790  0.954
    : 426969459.0  2584  0.983
    : 426969460.0  2783  0.960
    : 426969461.0  2567  0.997
    : 426969462.0  2687  0.992
    : 426969463.0  2481  0.979
    : 426969464.0  2459  0.980
    : 426969465.0  2473  0.971
    : 426969466.0  2321  0.984
    : 426969467.0  2539  0.990
    : 426969468.0  2585  0.998
    : 426969469.0  2603  0.978
    : 426969470.0  2630  0.968
    : 426969471.0  2633  0.979
    : 426969472.0  2425  0.988
    : 426969473.0  2528  0.989
    : 426969474.0  2454  0.973
    : 426969475.0  2531  0.978
    : 426969476.0  2622  0.944
    : 426969477.0  2525  0.982
    : 426969478.0  2663  0.989
    : 426969479.0  2504  0.979
    : 426969480.0  2431  0.990
    : 426969481.0  2642  0.967
    : 426969482.0  2535  0.964
    : 426969483.0  2577  0.979
    : 426969484.0  2365  0.942
    : 426969485.0  2481  0.917
    : 426969486.0  2426  0.925
    : 426969487.0  2721  0.963
    : 426969488.0  2497  0.965
    : 426969493.0  3127  0.905
    : 426969494.0  2530  0.930
    : 426969495.0  2648  0.981
    : 426969497.0  3257  0.923
    : 426969498.0  2304  0.901
    : 426969499.0  2658  0.910
    : 426969500.0  2064  0.896
    : 426969503.0  4173  0.951
    : 426969504.0  2276  0.919
    : 426969506.0  3148  0.974
    : 426969507.0  2300  0.970
    : 426969508.0  2740  0.965
    : 426969509.0  2624  0.982
    : 426969510.0  2512  0.940
    : 426969511.0  2556  0.932
    : 426969512.0  2616  0.951
    : 426969514.0  2108  0.832
    : 426969515.0  2826  0.898
    : 426969518.0  3667  0.919
    : 426969520.0  2103  0.858
    : 426969521.0  2045  0.859
    : 426969524.0  3076  0.904
    : 426969525.0  2482  0.902
    : 426969533.0  2642  0.875
    : 426969638.0  2642  0.904
    : 426969677.0  2512  0.855
    : 426969696.0  2922  0.904
    : 426969698.0  3673  0.952
    : 426969699.0  2248  0.971
    : 426969701.0  2620  0.867
    : 426969705.0  2628  0.887
    : 426969715.0  2050  0.829
    : 426969720.0  2319  0.862
    : 426969739.0  2773  0.899
    : 426969741.0  2394  0.866
    : 426969742.0  2535  0.859
    : 426969743.0  2038  0.890
    : 426969745.0  3024  0.913
    : 426969746.0  2549  0.961
    : 426969747.0  2595  0.984
    : 426969748.0  2841  0.996
    : 426969749.0  2513  0.987
    : 426969753.0  2043  0.848
    : 426969756.0  2009  0.853
    : 426969757.0  2988  0.899
    : 426969758.0  2250  0.933
    : 426969759.0  2701  0.974
    : 426969760.0  2524  0.963
    : 426969761.0  2556  0.988
    : 426969762.0  2596  0.997
    : 426969763.0  2150  0.980
    : 426969764.0  2516  0.972
    : 426969765.0  2175  0.909
    : 426969766.0  2173  0.941
    : 426969767.0  2501  0.970
    : 426969768.0  2426  1.000
    : 426969769.0  2501  0.999
    : 426969770.0  2684  0.999
    : 426969771.0  2591  0.994
    : 426969772.0  2562  1.000
    : 426969773.0  2560  0.996
    : 426969774.0  2494  1.000
    : 426969775.0  2552  1.000
    : 426969776.0  2683  0.985
    : 426969777.0  2535  0.993
    : 426969778.0  2779  0.986
    : 426969779.0  2192  0.969
    : 426969780.0  2411  0.983
    : 426969781.0  2491  0.963
    : 426969782.0  2447  0.994
    : 426969783.0  2375  0.971
    : 426969784.0  2577  0.946
    : 426969785.0  2706  0.979
    : 426969786.0  2547  0.956
    : 426969789.0  3353  0.942
    : 426969793.0  3054  0.911
    : 426969794.0  2355  0.941
    : 426969795.0  2380  0.934
    : 426969796.0  2316  0.947
    : 426969797.0  2252  0.930
    : 426969798.0  2593  0.986
    : 426969799.0  2531  0.978
    : 426969800.0  2214  0.979
    : 426969801.0  2528  0.973
    : 426969802.0  2109  0.909
    : 426969803.0  2474  0.962
    : 426969804.0  2474  0.949
    : 426969805.0  2648  0.977
    : 426969807.0  2497  0.898
    : 426969808.0  2078  0.905
    : 426969810.0  3198  0.928
    : 426969811.0  2592  0.970
    : 426969812.0  2275  0.962
    : 426969813.0  2632  0.994
    : 426969814.0  2574  0.972
    : 426969815.0  2226  0.965
    : 426969816.0  2646  0.979
    : 426969817.0  2640  0.992
    : 426969818.0  2302  0.973
    : 426969819.0  2758  0.993
    : 426969820.0  2688  0.988
    : 426969821.0  2656  0.988
    : 426969822.0  2659  0.992
    : 426969823.0  2718  0.986
    : 426969824.0  2654  0.987
    : 426969830.0  2939  0.922
    : 426969831.0  2501  0.925
    : 426969832.0  2905  0.961
    : 426969833.0  2454  0.969
    : 426969834.0  2498  0.974
    : 426969835.0  2659  0.961
    : 426969836.0  2610  0.956
    : 426969837.0  2118  0.882
    : 426969839.0  3265  0.934
    : 426969840.0  2299  0.948
    : 426969841.0  2369  0.980
    : 426969842.0  2573  0.967
    : 426969843.0  2769  0.992
    : 426969844.0  2767  0.988
    : 426969845.0  2498  0.946
    : 426969847.0  3641  0.905
    : 426969848.0  2433  0.927
    : 426969851.0  2882  0.916
    : 426969852.0  2556  0.924
    : 426969853.0  2655  0.970
    : 426969854.0  2408  0.957
    : 426969855.0  2679  0.995
    : 426969856.0  2439  0.957
    : 426969857.0  2474  0.975
    : 426969858.0  2625  0.964
    : 426969859.0  2380  0.971
    : 426969862.0  2365  0.860
    : 426969863.0  2616  0.892
    : 426969867.0  2498  0.894
    : 426969869.0  2116  0.833
    : 426969870.0  3003  0.912
    : 426969871.0  2815  0.933
    : 426969873.0  2138  0.925
    : 426969874.0  2838  0.914
    : 426969886.0  2069  0.852
    : 426969889.0  4012  0.956
    : 426969890.0  2745  0.972
    : 426969891.0  2128  0.903
    : 426969897.0  2162  0.851
    : 426969898.0  3011  0.918
    : 426969910.0  3386  0.924
    : 426969911.0  2204  0.899
    : 426969913.0  3071  0.902
    : 426969914.0  2796  0.984
    : 426969915.0  2363  0.973
    : 426969916.0  2167  0.917
    : 426969917.0  2755  0.903
    : 426969918.0  2556  0.939
    : 426969919.0  2687  0.997
    : 426969920.0  2573  0.962
    : 426969921.0  2671  0.982
    : 426969922.0  2297  0.895
    : 426969923.0  2774  0.993
    : 426969924.0  2093  0.968
    : 426969925.0  2435  0.990
    : 426969928.0  2171  0.865
    : 426969940.0  3149  0.889
    : 426969942.0  3287  0.922
    : 426969943.0  2321  0.991
    : 426969944.0  2588  0.939
    : 426969945.0  2485  0.918
    : 426969946.0  2467  0.950
    : 426969947.0  2716  0.961
    : 426969948.0  2085  0.903
    : 426969949.0  2486  0.926
    : 426969952.0  2100  0.831
    : 426969955.0  2634  0.898
    : 426969956.0  2248  0.895
    : 426969957.0  3078  0.958
    : 426969959.0  2702  0.881
    : 426969960.0  2662  0.911
    : 426969986.0  2327  0.868
    : 426969989.0  2777  0.897
    : 426969991.0  2515  0.870
    : 426969992.0  3107  0.936
    : 426970017.0  2147  0.860
    : 426970019.0  2537  0.868
    : 426970020.0  2459  0.902
    : 426970021.0  2555  0.925
    : 426970024.0  3222  0.910
    : 426970027.0  2704  0.882
    : 426970028.0  2876  0.934
    : 426970029.0  2191  0.953
    : 426970030.0  2295  0.980
    : 426970031.0  2621  0.979
    : 426970032.0  2451  0.971
    : 426970033.0  2354  0.925
    : 426970034.0  2404  0.947
    : 426970035.0  2442  0.932
    : 426970089.0  2257  0.866
    : 426970090.0  2240  0.850
    : 426970094.0  3537  0.912
    : 426970148.0  2106  0.837
    : 426970163.0  2317  0.856
    : 426970184.0  3641  0.915
    : 426970240.0  2322  0.857
    : 426970279.0  2630  0.890
    : 426970280.0  2242  0.896
    : 426970285.0  2208  0.837
    : 426970287.0  2238  0.834
    : 426970589.0  2560  0.924
    : 426970697.0  2010  0.815
    : 426970797.0  2082  0.854
    : 426970798.0  3677  0.962
    : 426970801.0  2901  0.886
    : 426970802.0  2556  0.925
    : 426970804.0  2447  0.869
    : 426970807.0  2815  0.886
    : 426970808.0  2619  0.974
    : 426971062.0  2145  0.827
    : 426971230.0  2181  0.842
    : 426971397.0  2281  0.834
    : 426971402.0  2344  0.855
    : 426971403.0  3447  0.913
    : 426971561.0  3753  0.908
    : 426971563.0  2512  0.859
    : 426971564.0  2232  0.815
    : 426971599.0  2905  0.895
    : 426971625.0  2842  0.878
    : 426971626.0  2703  0.979
    : 426971627.0  2231  0.894
    : 426971628.0  2100  0.896
    : 426971658.0  3964  0.919
    : 426971661.0  3245  0.898
    : 426971719.0  2402  0.874
    : 426971755.0  3890  0.962
    : 426971757.0  2136  0.859
    : 426971758.0  2119  0.856
    : 426971759.0  3423  0.947
    : 426971797.0  2976  0.877
    : 426971798.0  2816  0.951
    : 426971799.0  2086  0.891
    : 426971819.0  3409  0.904
    : 426971821.0  2664  0.873
    : 426971845.0  3348  0.896
    : 426971885.0  2382  0.843
    : 426971886.0  3043  0.934
    : 426974016.0  2110  0.845
    : 426974252.0  2159  0.843
    : 426974332.0  2311  0.814
    : 426974335.0  2964  0.857
    : 426974346.0  2179  0.840
    : 426974358.0  2037  0.804
    : 426974542.0  3379  0.920
    : 426974543.0  2838  0.995
    : 426974624.0  3010  0.883
    : 426974629.0  2711  0.863
    Total number of 1 second bins: 7097
    Bins with >0 counts          : 5126
    Bins with >2000 counts       : 359
    359 of 359 high count rate bins were dominated by noise
    Noise dominated 5.06% of total time, 7.00% of detector on time (defined as non-zero counts)