Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 428672628.0  2617  0.864
    : 428672677.0  2108  0.875
    : 428672744.0  3501  0.907
    : 428672745.0  2499  0.922
    : 428672747.0  2398  0.839
    : 428672748.0  2119  0.863
    : 428672750.0  2594  0.906
    : 428672767.0  2177  0.822
    Total number of 1 second bins: 2507
    Bins with >0 counts          : 2507
    Bins with >2000 counts       : 8
    8 of 8 high count rate bins were dominated by noise
    Noise dominated 0.32% of total time, 0.32% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    Total number of 1 second bins: 2507
    Bins with >0 counts          : 2507
    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 2
    : Time   totcounts   fraction
    : 428671938.0  2247  0.854
    : 428672147.0  2110  0.824
    : 428672188.0  2655  0.903
    : 428672189.0  2169  0.883
    : 428672190.0  2020  0.807
    : 428672191.0  2368  0.811
    : 428672193.0  2040  0.801
    : 428672194.0  2137  0.843
    Total number of 1 second bins: 2508
    Bins with >0 counts          : 2508
    Bins with >2000 counts       : 8
    8 of 8 high count rate bins were dominated by noise
    Noise dominated 0.32% of total time, 0.32% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    : 428672006.0  2186  0.900
    : 428672182.0  3424  0.892
    : 428672184.0  2249  0.892
    : 428672185.0  2560  0.881
    : 428672192.0  2443  0.906
    : 428672193.0  2512  0.861
    : 428672235.0  2774  0.866
    : 428672490.0  2823  0.874
    : 428672493.0  2188  0.828
    : 428672502.0  2466  0.853
    : 428672503.0  2678  0.885
    : 428672594.0  2003  0.814
    : 428672639.0  2732  0.872
    : 428672642.0  2229  0.829
    : 428672651.0  3362  0.905
    : 428672659.0  3820  0.935
    : 428672661.0  2169  0.848
    : 428672663.0  3317  0.928
    : 428672665.0  3760  0.912
    : 428672667.0  2523  0.911
    : 428672671.0  2081  0.826
    : 428672689.0  4080  0.918
    : 428672719.0  3013  0.879
    : 428672731.0  2099  0.856
    : 428672764.0  3848  0.920
    : 428672765.0  2140  0.951
    : 428672766.0  3049  0.974
    : 428672768.0  2823  0.914
    : 428672769.0  2390  0.882
    : 428672770.0  3668  0.947
    : 428672773.0  2001  0.850
    : 428672774.0  3347  0.939
    : 428672775.0  3716  0.967
    : 428672778.0  2144  0.855
    : 428672820.0  2378  0.868
    : 428672822.0  3164  0.884
    : 428672823.0  2245  0.905
    : 428673451.0  2561  0.928
    : 428673466.0  2484  0.860
    : 428673469.0  3630  0.960
    : 428673470.0  2821  0.971
    : 428673481.0  2712  0.896
    : 428673483.0  3484  0.954
    : 428673509.0  2563  0.884
    : 428673652.0  2088  0.849
    : 428673661.0  3400  0.925
    : 428673662.0  2613  0.925
    : 428673663.0  2833  0.905
    : 428673664.0  2791  0.922
    : 428673665.0  2766  0.909
    : 428673666.0  2500  0.931
    : 428673667.0  2403  0.925
    : 428673668.0  2334  0.877
    : 428673672.0  3112  0.906
    : 428673677.0  3038  0.904
    : 428673678.0  2567  0.904
    : 428673679.0  2813  0.920
    : 428673680.0  2470  0.905
    : 428673681.0  2707  0.913
    : 428673682.0  2676  0.900
    : 428673683.0  2165  0.909
    : 428673684.0  2931  0.920
    : 428673685.0  3057  0.943
    : 428673686.0  2105  0.909
    : 428673690.0  2298  0.900
    : 428673691.0  2501  0.913
    : 428673692.0  2707  0.914
    : 428673693.0  2624  0.891
    : 428673694.0  2446  0.904
    : 428673695.0  2291  0.894
    : 428673696.0  2395  0.886
    : 428673697.0  2808  0.907
    : 428673703.0  2780  0.895
    : 428673704.0  2784  0.891
    : 428673705.0  2453  0.885
    : 428673707.0  2507  0.887
    : 428673708.0  2171  0.868
    : 428673709.0  2336  0.877
    : 428673719.0  2982  0.894
    : 428673720.0  2431  0.914
    : 428673721.0  2524  0.903
    : 428673727.0  2411  0.908
    : 428673728.0  2584  0.868
    : 428673729.0  2483  0.907
    : 428673730.0  2491  0.891
    : 428673731.0  2643  0.889
    : 428673749.0  3039  0.933
    : 428673750.0  2260  0.906
    : 428673751.0  2443  0.868
    : 428673752.0  2746  0.917
    : 428673753.0  2528  0.883
    : 428673754.0  2646  0.893
    : 428673757.0  2425  0.860
    : 428673758.0  2666  0.906
    : 428673759.0  2399  0.882
    : 428673760.0  2776  0.928
    : 428673761.0  2653  0.928
    : 428673762.0  2505  0.919
    : 428673763.0  2623  0.895
    : 428673764.0  2372  0.873
    : 428673765.0  2686  0.883
    : 428673768.0  2593  0.858
    : 428673769.0  2471  0.914
    : 428673770.0  2132  0.885
    : 428673775.0  2353  0.881
    : 428673777.0  2628  0.904
    : 428673778.0  2642  0.910
    : 428673785.0  2413  0.877
    : 428673786.0  2723  0.901
    : 428673793.0  2906  0.915
    : 428673794.0  2852  0.930
    : 428673795.0  2020  0.900
    : 428673796.0  2900  0.899
    : 428673797.0  2125  0.898
    : 428673798.0  2954  0.904
    : 428673799.0  2642  0.913
    : 428673800.0  2515  0.913
    : 428673801.0  2856  0.929
    : 428673802.0  2718  0.937
    : 428673804.0  2947  0.926
    : 428673805.0  3135  0.945
    : 428673807.0  3437  0.939
    : 428673808.0  2529  0.926
    : 428673809.0  2476  0.919
    : 428673810.0  2522  0.917
    : 428673811.0  2701  0.923
    : 428673812.0  2505  0.920
    : 428673813.0  2569  0.919
    : 428673814.0  2603  0.911
    : 428673815.0  2803  0.939
    : 428673816.0  2346  0.920
    : 428673817.0  2659  0.918
    : 428673818.0  2884  0.928
    : 428673819.0  2767  0.917
    : 428673820.0  2458  0.924
    : 428673821.0  2671  0.919
    : 428673822.0  2463  0.916
    : 428673825.0  2250  0.872
    : 428673826.0  3370  0.958
    : 428673827.0  2998  0.957
    : 428673830.0  2083  0.872
    : 428673832.0  2080  0.848
    : 428673833.0  2037  0.851
    : 428673834.0  2119  0.882
    : 428673837.0  2062  0.844
    : 428673838.0  2002  0.919
    : 428673843.0  2421  0.874
    : 428673846.0  2242  0.884
    : 428673847.0  2898  0.921
    : 428673848.0  2473  0.915
    : 428673849.0  2317  0.919
    : 428673850.0  2839  0.911
    : 428673851.0  2588  0.896
    : 428673852.0  3118  0.904
    : 428673853.0  2511  0.923
    : 428673854.0  2167  0.909
    : 428673855.0  2655  0.898
    : 428673856.0  2526  0.907
    : 428673857.0  2263  0.894
    : 428673860.0  2506  0.854
    : 428673861.0  2355  0.913
    : 428673862.0  2406  0.904
    : 428673863.0  2474  0.892
    : 428673864.0  2873  0.890
    : 428673865.0  2642  0.904
    : 428673866.0  2726  0.899
    : 428673867.0  2416  0.874
    : 428673868.0  2068  0.875
    : 428673869.0  2421  0.888
    : 428673870.0  2638  0.894
    : 428673871.0  2941  0.903
    : 428673872.0  2238  0.879
    : 428673873.0  2454  0.882
    : 428673874.0  2600  0.883
    : 428673875.0  2313  0.901
    : 428673876.0  2673  0.911
    : 428673877.0  2076  0.895
    : 428673878.0  2346  0.908
    : 428673879.0  2633  0.910
    : 428673880.0  2335  0.897
    : 428673881.0  2524  0.890
    : 428673882.0  2398  0.869
    : 428673883.0  2489  0.876
    : 428673887.0  3288  0.911
    : 428673888.0  2468  0.913
    : 428673896.0  2521  0.881
    : 428673899.0  2596  0.904
    : 428673900.0  2651  0.891
    : 428673901.0  2440  0.901
    : 428673902.0  2448  0.898
    : 428673903.0  2606  0.906
    : 428673904.0  2312  0.894
    : 428673905.0  2526  0.901
    : 428673907.0  3055  0.905
    : 428673908.0  2614  0.920
    : 428673909.0  2645  0.911
    : 428673910.0  2696  0.906
    : 428673914.0  2482  0.874
    : 428673915.0  2505  0.919
    : 428673917.0  2064  0.866
    : 428673919.0  2731  0.901
    : 428673920.0  2129  0.908
    : 428673921.0  2676  0.908
    : 428673922.0  2627  0.880
    : 428673923.0  2188  0.904
    : 428673924.0  2858  0.915
    : 428673925.0  2589  0.907
    : 428673926.0  2481  0.923
    : 428673927.0  2488  0.922
    : 428673928.0  2702  0.930
    : 428673929.0  2207  0.904
    : 428673942.0  2837  0.874
    : 428673943.0  2654  0.887
    : 428673944.0  2520  0.889
    : 428673945.0  2615  0.899
    : 428673946.0  2208  0.907
    : 428673948.0  2625  0.886
    : 428673952.0  2604  0.882
    : 428673953.0  2717  0.916
    : 428673954.0  2515  0.921
    : 428673955.0  2594  0.904
    : 428673956.0  2281  0.908
    : 428673960.0  2014  0.890
    : 428673962.0  2069  0.850
    : 428673973.0  2595  0.901
    : 428673974.0  2621  0.908
    : 428673975.0  2603  0.896
    : 428674093.0  2185  0.864
    : 428674094.0  2974  0.938
    : 428674097.0  3068  0.899
    : 428674098.0  2010  0.840
    : 428674104.0  2581  0.874
    : 428674105.0  2213  0.927
    : 428674107.0  2097  0.837
    : 428674173.0  2299  0.888
    : 428674184.0  2532  0.919
    : 428674185.0  2384  0.882
    : 428674189.0  2069  0.850
    : 428674192.0  2736  0.910
    : 428674401.0  2997  0.906
    Total number of 1 second bins: 2508
    Bins with >0 counts          : 2508
    Bins with >2000 counts       : 240
    240 of 240 high count rate bins were dominated by noise
    Noise dominated 9.57% of total time, 9.57% of detector on time (defined as non-zero counts)