Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 408904325.0  2406  0.858
    : 408904326.0  2358  0.850
    : 408904327.0  2129  0.853
    : 408904328.0  2181  0.793
    : 408906817.0  2165  0.879
    : 408906818.0  2317  0.880
    : 408906820.0  2206  0.869
    : 408906823.0  2293  0.897
    : 408906856.0  2550  0.890
    : 408906857.0  2317  0.875
    : 408906858.0  2612  0.918
    : 408906859.0  2241  0.918
    : 408906860.0  2793  0.914
    : 408906861.0  2674  0.926
    : 408906862.0  2454  0.912
    : 408906863.0  2266  0.873
    : 408906864.0  2090  0.830
    : 408906865.0  2047  0.861
    : 408906869.0  2383  0.882
    : 408906870.0  2105  0.857
    : 408906872.0  2462  0.905
    : 408906874.0  2192  0.839
    : 408906875.0  2038  0.892
    : 408906876.0  2491  0.900
    : 408906877.0  2235  0.902
    : 408906878.0  2344  0.892
    : 408906883.0  2111  0.835
    : 408906886.0  2273  0.887
    : 408906887.0  2253  0.864
    : 408906888.0  2264  0.878
    : 408906889.0  2390  0.888
    : 408906890.0  2153  0.869
    : 408906891.0  2629  0.935
    : 408906896.0  2349  0.846
    : 408906897.0  2326  0.901
    : 408906898.0  2542  0.924
    : 408906899.0  2203  0.842
    : 408906901.0  2465  0.903
    : 408906902.0  2511  0.894
    : 408906903.0  2180  0.860
    : 408906904.0  2221  0.864
    : 408906905.0  2130  0.873
    : 408906906.0  2350  0.904
    : 408906907.0  2570  0.905
    : 408906908.0  2237  0.895
    : 408906910.0  2531  0.917
    : 408906911.0  2216  0.869
    : 408906912.0  2073  0.845
    : 408906915.0  2299  0.901
    : 408906916.0  2563  0.897
    : 408906917.0  2439  0.899
    : 408906918.0  2483  0.909
    : 408906919.0  2412  0.890
    : 408906922.0  2551  0.900
    : 408906923.0  2454  0.910
    : 408906924.0  2407  0.897
    : 408906925.0  2196  0.881
    : 408906926.0  2566  0.891
    : 408906931.0  2397  0.865
    : 408906935.0  2163  0.867
    : 408906936.0  2219  0.883
    : 408906937.0  2162  0.886
    : 408906938.0  2283  0.873
    : 408906940.0  2450  0.912
    : 408906941.0  2497  0.922
    : 408906942.0  2552  0.912
    : 408906943.0  2621  0.909
    : 408906944.0  2243  0.914
    : 408906946.0  2040  0.851
    : 408906948.0  2669  0.915
    : 408906949.0  2568  0.902
    : 408906950.0  2414  0.896
    : 408906951.0  2380  0.862
    : 408906952.0  2456  0.895
    : 408906954.0  2352  0.884
    : 408907969.0  2067  0.866
    : 408908037.0  2279  0.867
    : 408908051.0  2255  0.842
    : 408908053.0  2653  0.943
    : 408908060.0  2088  0.875
    : 408908074.0  2304  0.864
    : 408908075.0  2241  0.837
    : 408908076.0  2396  0.876
    : 408908077.0  2374  0.908
    : 408908084.0  2583  0.974
    : 408908109.0  2244  0.915
    : 408908131.0  2160  0.855
    : 408908132.0  2506  0.895
    : 408908133.0  2038  0.815
    : 408908149.0  2455  0.955
    : 408908182.0  2397  0.881
    : 408908184.0  2422  0.900
    : 408908203.0  2590  0.955
    : 408908206.0  2629  0.911
    : 408908207.0  2231  0.886
    : 408908209.0  2449  0.872
    : 408908213.0  2554  0.950
    : 408908216.0  2267  0.939
    : 408908217.0  2015  0.858
    : 408908219.0  2063  0.896
    : 408908220.0  2282  0.944
    : 408908221.0  2215  0.862
    : 408908223.0  2286  0.879
    : 408908224.0  2355  0.910
    : 408908225.0  2459  0.878
    : 408908227.0  2319  0.955
    : 408908232.0  2199  0.873
    : 408908238.0  2697  0.955
    : 408908242.0  2815  0.988
    : 408908252.0  2643  0.972
    : 408908253.0  2689  0.957
    : 408908254.0  2754  0.975
    : 408908255.0  2623  0.970
    : 408908256.0  2540  0.973
    : 408908257.0  2848  0.986
    : 408908259.0  2418  0.977
    : 408908260.0  2270  0.926
    : 408908261.0  2461  0.913
    : 408908262.0  2343  0.987
    : 408908263.0  2380  0.969
    : 408908264.0  2674  0.932
    : 408908265.0  3250  0.966
    : 408908266.0  2242  0.992
    : 408908267.0  2581  0.991
    : 408908268.0  2188  1.000
    : 408908269.0  2904  0.970
    : 408908270.0  2551  0.973
    : 408908271.0  2730  0.955
    : 408908272.0  3013  0.974
    : 408908274.0  2016  0.832
    : 408908276.0  2166  0.855
    : 408908277.0  2402  0.919
    : 408908279.0  2422  0.934
    : 408908280.0  2136  0.839
    : 408908282.0  2819  0.989
    : 408908284.0  2107  0.869
    : 408908286.0  3002  0.933
    : 408908288.0  2470  0.965
    : 408908291.0  2385  0.900
    : 408908294.0  2232  0.845
    : 408908295.0  2361  0.915
    : 408908296.0  2134  0.891
    : 408908297.0  2255  0.922
    : 408908300.0  2232  0.853
    : 408908301.0  2645  0.932
    : 408908302.0  2758  0.922
    : 408908303.0  2074  0.967
    : 408908304.0  2196  0.931
    : 408908305.0  2468  0.986
    : 408908306.0  2519  0.905
    : 408908308.0  2472  0.862
    : 408908309.0  2695  0.999
    : 408908310.0  2719  0.999
    : 408908311.0  2592  0.997
    : 408908312.0  2799  0.996
    : 408908313.0  2053  1.000
    : 408908314.0  2699  0.994
    : 408908315.0  2171  0.990
    : 408908316.0  2829  0.918
    : 408908318.0  3487  0.994
    : 408908319.0  2566  1.000
    : 408908320.0  2621  1.000
    : 408908321.0  2223  1.000
    : 408908322.0  3147  0.989
    : 408908323.0  2552  1.000
    : 408908324.0  2572  0.991
    : 408908325.0  2492  1.000
    : 408908326.0  2685  0.993
    : 408908327.0  2514  0.999
    : 408908328.0  2715  0.997
    : 408908329.0  2509  1.000
    : 408908330.0  2486  1.000
    : 408908331.0  2877  0.997
    : 408908332.0  2597  0.999
    : 408908333.0  2703  1.000
    : 408908334.0  2516  0.993
    : 408908335.0  2406  1.000
    : 408908337.0  3217  0.988
    : 408908338.0  2206  0.990
    : 408908339.0  2994  0.973
    : 408908340.0  2362  0.988
    : 408908341.0  2734  0.995
    : 408908342.0  2448  0.967
    : 408908343.0  2801  0.996
    : 408908344.0  2851  1.000
    : 408908345.0  2090  0.979
    : 408908346.0  3038  0.993
    : 408908347.0  2334  0.952
    : 408908348.0  2787  0.999
    : 408908349.0  2731  0.989
    : 408908350.0  2633  0.983
    : 408908351.0  2268  0.978
    : 408908352.0  3232  0.981
    : 408908353.0  2703  0.995
    : 408908354.0  2220  0.982
    : 408908355.0  2689  0.983
    : 408908356.0  3319  0.967
    : 408908357.0  2582  1.000
    : 408908358.0  2699  1.000
    : 408908359.0  2657  0.994
    : 408908360.0  2545  1.000
    : 408908361.0  2586  1.000
    : 408908363.0  3017  0.982
    : 408908365.0  2987  0.965
    : 408908366.0  2810  1.000
    : 408908367.0  2798  0.997
    : 408908369.0  2686  0.988
    : 408908370.0  2853  0.992
    : 408908371.0  2425  0.968
    : 408908372.0  2314  0.992
    : 408908373.0  2884  0.927
    : 408908374.0  2367  0.999
    : 408908375.0  2457  1.000
    : 408908376.0  2108  0.996
    : 408908377.0  2550  0.991
    : 408908378.0  2524  0.957
    : 408908379.0  3284  0.945
    : 408908380.0  2543  0.997
    : 408908381.0  2452  0.996
    : 408908382.0  2164  0.977
    : 408908383.0  2281  0.968
    : 408908384.0  3157  0.980
    : 408908385.0  2546  0.992
    : 408908386.0  2136  0.968
    : 408908387.0  2990  0.976
    : 408908388.0  2022  0.983
    : 408908389.0  2919  0.991
    : 408908390.0  2458  0.995
    : 408908391.0  2659  0.998
    : 408908392.0  2635  0.977
    : 408908393.0  2609  0.998
    : 408908394.0  2719  0.974
    : 408908395.0  2543  1.000
    : 408908396.0  2601  0.973
    : 408908397.0  2757  0.987
    : 408908398.0  2431  0.985
    : 408908399.0  2899  0.956
    : 408908400.0  2409  0.978
    : 408908401.0  2726  0.921
    : 408908403.0  2263  0.855
    : 408908404.0  2734  0.993
    : 408908405.0  2867  0.999
    : 408908406.0  2484  0.999
    : 408908407.0  2686  0.983
    : 408908408.0  2253  0.972
    : 408908409.0  2564  0.955
    : 408908410.0  3264  0.991
    : 408908411.0  2588  0.998
    : 408908412.0  2608  0.998
    : 408908413.0  2360  0.996
    : 408908414.0  2324  0.975
    : 408908415.0  2786  0.986
    : 408908416.0  2699  0.989
    : 408908417.0  2626  0.996
    : 408908418.0  2608  0.999
    : 408908419.0  2852  0.999
    : 408908420.0  2716  0.988
    : 408908421.0  2422  0.995
    : 408908422.0  2668  0.973
    : 408908423.0  2680  0.996
    : 408908424.0  2567  0.991
    : 408908425.0  2713  1.000
    : 408908426.0  2688  1.000
    : 408908427.0  2443  0.996
    : 408908428.0  2904  0.995
    : 408908429.0  2847  0.992
    : 408908430.0  2766  0.995
    : 408908431.0  2726  0.998
    : 408908432.0  2210  1.000
    : 408908433.0  3143  0.989
    : 408908434.0  2654  1.000
    : 408908435.0  2384  0.981
    : 408908436.0  3164  0.991
    : 408908437.0  2583  0.995
    : 408908438.0  2888  0.996
    : 408908439.0  2820  1.000
    : 408908440.0  2666  0.999
    : 408908441.0  2796  0.999
    : 408908442.0  2656  1.000
    : 408908443.0  2637  1.000
    : 408908444.0  2719  1.000
    : 408908445.0  2734  1.000
    : 408908446.0  2592  1.000
    : 408908447.0  2371  0.997
    : 408908449.0  3210  0.997
    : 408908450.0  2498  1.000
    : 408908451.0  2725  1.000
    : 408908452.0  2592  1.000
    : 408908453.0  2572  1.000
    : 408908454.0  2622  1.000
    : 408908455.0  2569  1.000
    : 408908456.0  2333  0.954
    : 408908457.0  2470  1.000
    : 408908459.0  2981  0.968
    : 408908460.0  2552  1.000
    : 408908461.0  2708  1.000
    : 408908462.0  2669  1.000
    : 408908463.0  2596  1.000
    : 408908464.0  2552  0.993
    : 408908465.0  2543  1.000
    : 408908466.0  2728  0.999
    : 408908467.0  2647  0.997
    : 408908468.0  2754  1.000
    : 408908469.0  2642  0.998
    : 408908470.0  2620  0.998
    Total number of 1 second bins: 4148
    Bins with >0 counts          : 4148
    Bins with >2000 counts       : 305
    305 of 305 high count rate bins were dominated by noise
    Noise dominated 7.35% of total time, 7.35% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 408904446.0  2176  0.846
    : 408904448.0  2498  0.895
    : 408904449.0  2589  0.919
    : 408904452.0  2392  0.902
    : 408904453.0  2393  0.921
    : 408904505.0  2064  0.830
    : 408904506.0  2247  0.815
    Total number of 1 second bins: 4148
    Bins with >0 counts          : 4148
    Bins with >2000 counts       : 7
    7 of 7 high count rate bins were dominated by noise
    Noise dominated 0.17% of total time, 0.17% 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: 4148
    Bins with >0 counts          : 4148
    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
    : 408905175.0  2160  0.825
    : 408905235.0  2109  0.844
    : 408905236.0  2021  0.833
    : 408906146.0  2280  0.876
    : 408906544.0  2046  0.867
    : 408906722.0  2477  0.877
    : 408907198.0  2354  0.883
    : 408907436.0  2225  0.872
    : 408907437.0  2667  0.916
    : 408907438.0  2723  0.976
    : 408907469.0  2472  0.859
    : 408907470.0  2021  0.843
    : 408907478.0  2124  0.835
    : 408907720.0  2462  0.874
    : 408907896.0  2613  0.903
    : 408907928.0  2105  0.836
    : 408908117.0  2025  0.887
    Total number of 1 second bins: 4148
    Bins with >0 counts          : 4148
    Bins with >2000 counts       : 17
    17 of 17 high count rate bins were dominated by noise
    Noise dominated 0.41% of total time, 0.41% of detector on time (defined as non-zero counts)