Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 444883760.0  2286  0.886
    : 444883766.0  2085  0.773
    : 444883772.0  2155  0.762
    : 444883774.0  2225  0.799
    : 444883777.0  2296  0.730
    : 444883785.0  2154  0.750
    : 444883786.0  2069  0.751
    : 444883787.0  2028  0.723
    : 444883792.0  2022  0.762
    : 444883794.0  2189  0.786
    : 444883795.0  2035  0.789
    : 444883796.0  2107  0.789
    : 444883797.0  2360  0.778
    : 444883807.0  2067  0.757
    : 444883811.0  2021  0.729
    : 444884897.0  2048  0.814
    : 444889990.0  2148  0.901
    : 444889992.0  2012  0.809
    : 444890007.0  2020  0.740
    : 444890015.0  2158  0.748
    : 444890016.0  2126  0.739
    : 444890020.0  2036  0.722
    Total number of 1 second bins: 7629
    Bins with >0 counts          : 6400
    Bins with >2000 counts       : 22
    22 of 22 high count rate bins were dominated by noise
    Noise dominated 0.29% of total time, 0.34% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 444883794.0  2017  0.750
    : 444883798.0  2688  0.886
    : 444883799.0  2056  0.850
    : 444883810.0  2103  0.766
    : 444883974.0  2152  0.814
    : 444883975.0  2204  0.828
    : 444884674.0  2659  0.866
    : 444887570.0  2668  0.876
    : 444888352.0  2516  0.857
    : 444890073.0  2447  0.830
    : 444890400.0  2094  0.816
    : 444890401.0  2383  0.850
    : 444890406.0  2519  0.865
    : 444890468.0  2207  0.804
    : 444890471.0  2005  0.825
    : 444890748.0  2023  0.826
    : 444891076.0  2300  0.837
    Total number of 1 second bins: 7629
    Bins with >0 counts          : 6400
    Bins with >2000 counts       : 17
    17 of 17 high count rate bins were dominated by noise
    Noise dominated 0.22% of total time, 0.27% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 2
    : Time   totcounts   fraction
    : 444883763.0  2462  0.859
    : 444883764.0  2071  0.838
    : 444884379.0  2149  0.851
    : 444884390.0  2268  0.821
    : 444884391.0  2659  0.879
    : 444884419.0  2952  0.880
    : 444884420.0  2264  0.875
    : 444885240.0  3548  0.937
    : 444885241.0  2839  0.944
    : 444885242.0  2366  0.915
    : 444885243.0  2181  0.891
    : 444885244.0  2689  0.910
    : 444885245.0  2438  0.924
    : 444885246.0  2693  0.964
    : 444885460.0  2062  0.827
    : 444889994.0  2427  0.769
    : 444889996.0  2738  0.825
    : 444889997.0  2045  0.813
    : 444889998.0  2249  0.853
    : 444889999.0  2772  0.980
    : 444890001.0  3398  0.964
    : 444890002.0  2214  0.896
    : 444890501.0  2265  0.833
    Total number of 1 second bins: 7629
    Bins with >0 counts          : 6400
    Bins with >2000 counts       : 23
    23 of 23 high count rate bins were dominated by noise
    Noise dominated 0.30% of total time, 0.36% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    : 444883782.0  2355  0.756
    : 444883980.0  2284  0.823
    : 444883984.0  2127  0.807
    : 444883985.0  2542  0.886
    : 444884008.0  2273  0.814
    : 444884172.0  2193  0.847
    : 444884212.0  2745  0.868
    : 444884230.0  2775  0.852
    : 444884232.0  2596  0.881
    : 444884244.0  2081  0.799
    : 444884313.0  2046  0.835
    : 444884356.0  2997  0.872
    : 444884385.0  4133  0.925
    : 444884548.0  2103  0.848
    : 444884549.0  2434  0.844
    : 444884610.0  3194  0.902
    : 444884611.0  2926  0.933
    : 444884612.0  2693  0.945
    : 444884616.0  2551  0.871
    : 444884617.0  2421  0.898
    : 444884618.0  2457  0.890
    : 444884619.0  2970  0.936
    : 444884620.0  2579  0.924
    : 444884621.0  2074  0.888
    : 444884622.0  3062  0.897
    : 444884623.0  2794  0.924
    : 444884624.0  2601  0.920
    : 444884625.0  2085  0.900
    : 444884643.0  2133  0.838
    : 444884644.0  2152  0.885
    : 444884645.0  2546  0.870
    : 444884660.0  2796  0.885
    : 444884682.0  2070  0.841
    : 444884687.0  2316  0.832
    : 444884730.0  2089  0.838
    : 444884911.0  3809  0.934
    : 444884912.0  2608  0.979
    : 444884913.0  2849  0.985
    : 444884914.0  2760  0.929
    : 444884915.0  2733  0.961
    : 444884926.0  3186  0.927
    : 444884927.0  2767  0.979
    : 444884928.0  2794  0.979
    : 444884929.0  2230  0.899
    : 444884930.0  2961  0.943
    : 444885077.0  4670  0.986
    : 444885078.0  2756  1.000
    : 444885079.0  2761  1.000
    : 444885080.0  2765  0.999
    : 444885081.0  2681  0.998
    : 444885082.0  2749  0.999
    : 444885083.0  2555  0.992
    : 444885084.0  2708  1.000
    : 444885085.0  2698  1.000
    : 444885086.0  2628  0.997
    : 444885087.0  2664  1.000
    : 444885088.0  2506  0.998
    : 444885089.0  2617  0.996
    : 444885090.0  2709  1.000
    : 444885091.0  2574  1.000
    : 444885092.0  2699  0.999
    : 444885093.0  2464  0.996
    : 444885094.0  2767  1.000
    : 444885095.0  2657  1.000
    : 444885096.0  2708  1.000
    : 444885097.0  2615  0.999
    : 444885098.0  2699  1.000
    : 444885099.0  2616  0.996
    : 444885100.0  2712  1.000
    : 444885101.0  2727  0.996
    : 444885102.0  2735  0.997
    : 444885103.0  2651  0.998
    : 444885104.0  2746  1.000
    : 444885105.0  2592  0.998
    : 444885106.0  2767  0.996
    : 444885107.0  2724  1.000
    : 444885108.0  2312  0.983
    : 444885109.0  2661  0.992
    : 444885110.0  2830  0.997
    : 444885111.0  2716  0.997
    : 444885112.0  2628  0.990
    : 444885113.0  2817  0.998
    : 444885114.0  2857  0.993
    : 444885115.0  2851  0.999
    : 444885116.0  2890  0.992
    : 444885117.0  2787  0.992
    : 444885118.0  2719  0.995
    : 444885119.0  2818  0.991
    : 444885120.0  2700  0.989
    : 444885121.0  2887  0.981
    : 444885122.0  2743  0.988
    : 444885123.0  2857  0.987
    : 444885124.0  2922  0.987
    : 444885125.0  2752  0.994
    : 444885126.0  2778  0.992
    : 444885127.0  2531  0.991
    : 444885128.0  2708  0.990
    : 444885129.0  2723  0.997
    : 444885130.0  2832  0.993
    : 444885131.0  2890  0.994
    : 444885132.0  2900  0.994
    : 444885133.0  2858  0.994
    : 444885134.0  2825  0.994
    : 444885135.0  2790  0.997
    : 444885136.0  2624  0.995
    : 444885137.0  2846  0.980
    : 444885138.0  2836  0.986
    : 444885139.0  2915  0.985
    : 444885140.0  2811  0.988
    : 444885141.0  2824  0.982
    : 444885142.0  2893  0.990
    : 444885143.0  2515  0.982
    : 444885144.0  2933  0.985
    : 444885145.0  2796  0.983
    : 444885146.0  2230  0.975
    : 444885147.0  2902  0.992
    : 444885148.0  2795  0.987
    : 444885149.0  2673  0.971
    : 444885150.0  2661  0.973
    : 444885151.0  2637  0.979
    : 444885152.0  2822  0.989
    : 444885153.0  2850  0.984
    : 444885154.0  2122  0.976
    : 444885155.0  2697  0.986
    : 444885156.0  2772  0.987
    : 444885157.0  2885  0.986
    : 444885158.0  2961  0.984
    : 444885159.0  2545  0.978
    : 444885160.0  2465  0.969
    : 444885161.0  2939  0.985
    : 444885162.0  2806  0.978
    : 444885163.0  2701  0.978
    : 444885164.0  2921  0.982
    : 444885165.0  2631  0.977
    : 444885166.0  2691  0.980
    : 444885167.0  2571  0.956
    : 444885168.0  2949  0.963
    : 444885169.0  2712  0.958
    : 444885170.0  2683  0.973
    : 444885171.0  2892  0.976
    : 444885172.0  2820  0.974
    : 444885173.0  2690  0.977
    : 444885174.0  2598  0.968
    : 444885175.0  2429  0.970
    : 444885176.0  2358  0.941
    : 444885177.0  2666  0.948
    : 444885178.0  2786  0.952
    : 444885179.0  2932  0.971
    : 444885180.0  2795  0.953
    : 444885181.0  2919  0.951
    : 444885182.0  2664  0.959
    : 444885183.0  2605  0.952
    : 444885184.0  2891  0.961
    : 444885185.0  2827  0.975
    : 444885186.0  2896  0.972
    : 444885187.0  2904  0.971
    : 444885188.0  2896  0.978
    : 444885189.0  2830  0.981
    : 444885190.0  2734  0.972
    : 444885191.0  2674  0.966
    : 444885192.0  2428  0.945
    : 444885193.0  2800  0.972
    : 444885194.0  2845  0.980
    : 444885195.0  2828  0.982
    : 444885196.0  2908  0.990
    : 444885197.0  2933  0.994
    : 444885198.0  2868  0.984
    : 444885199.0  2822  0.985
    : 444885200.0  2652  0.962
    : 444885201.0  2905  0.981
    : 444885202.0  2799  0.987
    : 444885203.0  2858  0.983
    : 444885204.0  2842  0.993
    : 444885205.0  2894  0.992
    : 444885206.0  2734  0.981
    : 444885207.0  2879  0.992
    : 444885208.0  2905  0.989
    : 444885209.0  2901  0.986
    : 444885210.0  2968  0.998
    : 444885211.0  2847  0.983
    : 444885212.0  2914  0.991
    : 444885213.0  2820  0.985
    : 444885214.0  2725  0.984
    : 444885215.0  2594  0.966
    : 444885216.0  2841  0.994
    : 444885217.0  2910  0.994
    : 444885218.0  2840  0.993
    : 444885219.0  2705  0.981
    : 444885220.0  2741  0.985
    : 444885221.0  2908  0.988
    : 444885222.0  2810  0.993
    : 444885223.0  2807  0.985
    : 444885224.0  2813  0.989
    : 444885225.0  2897  0.983
    : 444885226.0  2955  0.987
    : 444885227.0  2969  0.990
    : 444885228.0  2529  0.976
    : 444885229.0  2968  0.994
    : 444885230.0  2629  0.987
    : 444885231.0  2894  0.974
    : 444885232.0  2966  0.987
    : 444885233.0  2926  0.987
    : 444885234.0  2868  0.984
    : 444885235.0  2932  0.991
    : 444885236.0  2677  0.977
    : 444885237.0  2795  0.990
    : 444885238.0  2762  0.959
    : 444885239.0  2874  0.990
    : 444885240.0  2863  0.980
    : 444885241.0  2388  1.000
    : 444885242.0  2480  0.996
    : 444885243.0  2703  0.946
    : 444885244.0  2843  0.987
    : 444885245.0  2783  0.989
    : 444885246.0  2866  0.989
    : 444885247.0  2839  0.983
    : 444885248.0  2682  0.965
    : 444885249.0  2581  0.970
    : 444885250.0  2847  0.989
    : 444885251.0  2425  0.981
    : 444885252.0  2768  0.990
    : 444885253.0  2877  0.995
    : 444885254.0  2172  0.980
    : 444885255.0  2749  0.992
    : 444885256.0  2617  0.989
    : 444885257.0  2610  0.988
    : 444885258.0  2917  0.993
    : 444885259.0  2779  0.992
    : 444885260.0  2834  0.984
    : 444885261.0  2892  0.991
    : 444885262.0  2797  0.987
    : 444885263.0  2812  0.991
    : 444885264.0  2664  0.982
    : 444885265.0  2804  0.987
    : 444885266.0  2983  0.995
    : 444885267.0  2807  0.987
    : 444885268.0  2626  0.982
    : 444885269.0  2897  0.983
    : 444885270.0  2896  0.989
    : 444885271.0  2805  0.987
    : 444885272.0  2900  0.989
    : 444885273.0  2839  0.990
    : 444885274.0  2898  0.992
    : 444885275.0  2732  0.980
    : 444885276.0  2755  0.987
    : 444885277.0  2868  0.982
    : 444885278.0  2677  0.985
    : 444885279.0  2830  0.993
    : 444885280.0  2783  0.994
    : 444885281.0  2759  0.989
    : 444885282.0  2905  0.986
    : 444885283.0  2746  0.992
    : 444885284.0  2824  0.996
    : 444885285.0  2791  0.987
    : 444885286.0  2844  0.995
    : 444885287.0  2887  0.993
    : 444885288.0  2869  0.987
    : 444885289.0  2907  0.985
    : 444885563.0  2301  0.881
    : 444885611.0  2025  0.864
    : 444885878.0  2176  0.832
    : 444885881.0  3219  0.912
    : 444886283.0  2005  0.818
    : 444886419.0  3667  0.926
    : 444886420.0  2083  0.854
    : 444886434.0  2224  0.863
    : 444886478.0  3222  0.936
    : 444886501.0  2227  0.855
    : 444886502.0  2104  0.853
    : 444886546.0  3457  0.902
    : 444886548.0  2364  0.853
    : 444886866.0  2760  0.868
    : 444886878.0  2235  0.846
    : 444886887.0  2008  0.851
    : 444886893.0  2450  0.866
    : 444886922.0  2020  0.842
    : 444887026.0  2477  0.853
    : 444887212.0  2484  0.919
    : 444887213.0  2274  0.953
    : 444887214.0  2371  0.965
    : 444887215.0  2458  0.951
    : 444887216.0  2660  0.959
    : 444887217.0  2536  0.947
    : 444887218.0  2331  0.942
    : 444887221.0  2605  0.974
    : 444887222.0  2682  0.949
    : 444887225.0  2098  0.842
    : 444887226.0  2219  0.831
    : 444887228.0  2785  0.909
    : 444887230.0  2191  0.886
    : 444887239.0  3135  0.885
    : 444887241.0  2611  0.884
    : 444887314.0  3802  0.953
    : 444887315.0  2669  0.966
    : 444887422.0  2092  0.829
    : 444887430.0  2863  0.878
    : 444887434.0  2044  0.821
    : 444887450.0  2432  0.863
    : 444887452.0  2214  0.848
    : 444887455.0  2204  0.835
    : 444887460.0  2088  0.829
    : 444887461.0  2174  0.875
    : 444887462.0  2858  0.877
    : 444887463.0  2167  0.889
    : 444887464.0  2133  0.909
    : 444887466.0  2132  0.895
    : 444887468.0  2343  0.851
    : 444887567.0  2138  0.812
    : 444887568.0  2206  0.888
    : 444887575.0  2102  0.872
    : 444887576.0  2971  0.917
    : 444887578.0  4343  0.957
    : 444887580.0  2060  0.823
    : 444887582.0  2297  0.876
    : 444887585.0  2112  0.848
    : 444887594.0  2028  0.855
    : 444887601.0  2052  0.812
    : 444887604.0  2724  0.972
    : 444887676.0  2233  0.849
    : 444887682.0  2230  0.824
    : 444887683.0  3074  0.950
    : 444887688.0  2498  0.867
    : 444887691.0  2018  0.840
    : 444887692.0  2083  0.857
    : 444887693.0  2204  0.848
    : 444887699.0  2784  0.879
    : 444887731.0  2678  0.857
    : 444888332.0  2169  0.829
    : 444888334.0  2038  0.797
    : 444888335.0  2171  0.838
    : 444888403.0  2770  0.874
    : 444888409.0  2006  0.826
    : 444888413.0  2731  0.875
    : 444888424.0  2314  0.860
    : 444888425.0  2938  0.897
    : 444888433.0  2044  0.787
    : 444888448.0  3154  0.907
    : 444888449.0  2551  0.906
    : 444888484.0  2411  0.844
    : 444888487.0  2214  0.822
    : 444888488.0  2378  0.879
    : 444888489.0  2601  0.847
    : 444888520.0  2365  0.848
    : 444888521.0  2480  0.923
    : 444888526.0  3198  0.896
    : 444888527.0  2543  0.945
    : 444888528.0  2557  0.899
    : 444888529.0  2295  0.891
    : 444888532.0  2037  0.782
    : 444888542.0  2581  0.884
    : 444888543.0  2054  0.786
    : 444888544.0  2277  0.874
    : 444888546.0  2698  0.862
    : 444888547.0  2483  0.853
    : 444888548.0  2689  0.922
    : 444888549.0  2009  0.863
    : 444888550.0  2526  0.889
    : 444888552.0  2862  0.868
    : 444888558.0  2670  0.863
    : 444888560.0  2088  0.824
    : 444888561.0  3108  0.911
    : 444888563.0  2743  0.877
    : 444888564.0  3066  0.921
    : 444888565.0  2597  0.930
    : 444888566.0  2264  0.887
    : 444888568.0  2781  0.839
    : 444888569.0  2477  0.861
    : 444888571.0  2003  0.794
    : 444888572.0  2586  0.839
    : 444888573.0  2741  0.900
    : 444888574.0  2498  0.919
    : 444888575.0  2033  0.853
    : 444888576.0  2184  0.853
    : 444888577.0  2727  0.902
    : 444888578.0  2671  0.963
    : 444888579.0  2720  0.927
    : 444888581.0  2933  0.890
    : 444888583.0  2218  0.838
    : 444888591.0  3187  0.913
    : 444888592.0  2432  0.905
    : 444888593.0  2493  0.924
    : 444888594.0  2660  0.934
    : 444888595.0  2459  0.918
    : 444888596.0  2375  0.901
    : 444888598.0  2005  0.864
    : 444888599.0  2143  0.826
    : 444888601.0  3062  0.876
    : 444888602.0  2259  0.883
    : 444888603.0  2701  0.903
    : 444888604.0  2069  0.848
    : 444888605.0  2013  0.858
    : 444888606.0  2874  0.905
    : 444888607.0  2249  0.862
    : 444888609.0  2974  0.895
    : 444888610.0  2031  0.872
    : 444888611.0  2439  0.883
    : 444888612.0  2731  0.951
    : 444888613.0  2335  0.943
    : 444888614.0  2168  0.929
    : 444888615.0  2392  0.904
    : 444888616.0  2231  0.882
    : 444888618.0  2005  0.767
    : 444888619.0  2489  0.877
    : 444888625.0  2649  0.840
    : 444888627.0  2018  0.788
    : 444888642.0  2099  0.807
    : 444888643.0  2645  0.837
    : 444888645.0  2701  0.865
    : 444888646.0  2595  0.908
    : 444888660.0  3542  0.887
    : 444888663.0  2144  0.774
    : 444888672.0  2387  0.782
    : 444888673.0  2055  0.859
    : 444888675.0  2324  0.798
    : 444888681.0  2826  0.810
    : 444888688.0  2682  0.796
    : 444888692.0  2258  0.748
    : 444888701.0  2154  0.826
    : 444888702.0  2581  0.895
    : 444888708.0  2379  0.823
    : 444888709.0  2403  0.840
    : 444888712.0  2288  0.818
    : 444888713.0  2410  0.846
    : 444888722.0  2113  0.734
    : 444888723.0  2064  0.812
    : 444888729.0  2051  0.707
    : 444888733.0  2548  0.823
    : 444888734.0  2102  0.809
    : 444888740.0  2207  0.701
    : 444889991.0  2269  0.750
    : 444889992.0  2238  0.937
    : 444890059.0  2651  0.883
    : 444890081.0  2181  0.811
    : 444890124.0  2099  0.819
    : 444890127.0  2540  0.840
    : 444890165.0  2504  0.846
    : 444890172.0  2832  0.881
    : 444890173.0  2400  0.860
    : 444890174.0  2437  0.851
    : 444890178.0  2091  0.791
    : 444890179.0  2436  0.880
    : 444890181.0  2144  0.807
    : 444890193.0  2125  0.809
    : 444890197.0  3506  0.912
    : 444890199.0  2332  0.842
    : 444890200.0  2277  0.814
    : 444890203.0  3068  0.866
    : 444890280.0  2054  0.823
    : 444890304.0  2345  0.860
    : 444890306.0  2659  0.841
    : 444890342.0  2488  0.824
    : 444890344.0  2513  0.885
    : 444890953.0  2158  0.858
    : 444891194.0  2527  0.861
    : 444891232.0  2648  0.844
    : 444891233.0  2460  0.867
    : 444891248.0  3257  0.907
    Total number of 1 second bins: 7629
    Bins with >0 counts          : 6400
    Bins with >2000 counts       : 457
    457 of 457 high count rate bins were dominated by noise
    Noise dominated 5.99% of total time, 7.14% of detector on time (defined as non-zero counts)