Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 400468056.0  2582  0.932
    : 400468058.0  2064  0.820
    : 400468059.0  2088  0.836
    : 400468574.0  2328  0.937
    : 400468575.0  2237  0.984
    : 400474326.0  2098  0.839
    : 400474361.0  2165  0.848
    Total number of 1 second bins: 7145
    Bins with >0 counts          : 5444
    Bins with >2000 counts       : 7
    7 of 7 high count rate bins were dominated by noise
    Noise dominated 0.10% of total time, 0.13% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 400470753.0  2332  0.887
    : 400470970.0  2232  0.862
    : 400470999.0  2463  0.863
    : 400471000.0  2473  0.935
    : 400471001.0  2588  0.958
    : 400471003.0  2510  0.925
    : 400471004.0  2199  0.894
    : 400471005.0  2632  0.963
    : 400471006.0  2521  0.945
    : 400471719.0  2340  0.926
    : 400471735.0  2080  0.828
    : 400471737.0  2161  0.861
    : 400471738.0  2011  0.905
    : 400471739.0  2327  0.878
    : 400471740.0  2394  0.952
    : 400472442.0  2190  0.832
    Total number of 1 second bins: 7145
    Bins with >0 counts          : 5444
    Bins with >2000 counts       : 16
    16 of 16 high count rate bins were dominated by noise
    Noise dominated 0.22% of total time, 0.29% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 2
    : Time   totcounts   fraction
    : 400468056.0  2309  0.867
    : 400468057.0  2573  0.914
    : 400468058.0  2174  0.879
    : 400468059.0  2312  0.872
    : 400468062.0  2075  0.864
    : 400468063.0  2174  0.856
    : 400468068.0  2201  0.829
    : 400468069.0  2127  0.850
    : 400468076.0  2090  0.872
    : 400468077.0  2542  0.878
    : 400468078.0  2320  0.884
    : 400474326.0  2658  0.953
    : 400474327.0  2556  0.957
    : 400474328.0  2677  0.966
    : 400474329.0  2484  0.963
    : 400474330.0  2251  0.909
    : 400474332.0  2334  0.857
    : 400474333.0  2403  0.896
    : 400474342.0  2097  0.835
    : 400474343.0  2415  0.860
    : 400474344.0  2166  0.878
    : 400474345.0  2101  0.861
    : 400474346.0  2252  0.884
    : 400474347.0  2046  0.854
    : 400474367.0  2106  0.863
    Total number of 1 second bins: 7145
    Bins with >0 counts          : 5444
    Bins with >2000 counts       : 25
    25 of 25 high count rate bins were dominated by noise
    Noise dominated 0.35% of total time, 0.46% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    : 400468100.0  2156  0.856
    : 400468102.0  2100  0.866
    : 400468106.0  2358  0.849
    : 400468107.0  2119  0.837
    : 400468108.0  2588  0.956
    : 400468111.0  2443  0.879
    : 400468112.0  2420  0.888
    : 400468113.0  2531  0.910
    : 400468114.0  2328  0.854
    : 400468115.0  2511  0.906
    : 400468116.0  2518  0.884
    : 400468119.0  2520  0.908
    : 400468120.0  2200  0.867
    : 400468125.0  2630  0.911
    : 400468133.0  2610  0.921
    : 400468135.0  2179  0.824
    : 400468138.0  2455  0.923
    : 400468247.0  2134  0.868
    : 400468679.0  2216  0.856
    : 400468680.0  2672  0.985
    : 400469305.0  2593  0.880
    : 400469306.0  2650  0.925
    : 400469308.0  2536  0.923
    : 400469556.0  2734  0.951
    : 400469557.0  2215  0.865
    : 400469667.0  2233  0.873
    : 400469668.0  2695  0.946
    : 400469669.0  2716  0.919
    : 400469670.0  2611  0.945
    : 400469671.0  2258  0.876
    : 400469672.0  2819  0.930
    : 400469673.0  2336  0.869
    : 400469674.0  2534  0.929
    : 400469675.0  2852  0.955
    : 400469676.0  2727  0.967
    : 400469677.0  2420  0.953
    : 400469679.0  2687  0.917
    : 400469680.0  2676  0.975
    : 400469681.0  2898  0.984
    : 400469682.0  2795  0.983
    : 400469683.0  2372  0.912
    : 400469684.0  2597  0.941
    : 400469685.0  2498  0.932
    : 400469686.0  2393  0.931
    : 400469687.0  2227  0.865
    : 400469688.0  2203  0.906
    : 400469689.0  2668  0.930
    : 400469690.0  2459  0.919
    : 400469695.0  2331  0.896
    : 400469696.0  2832  0.901
    : 400469697.0  2470  0.914
    : 400469699.0  2507  0.913
    : 400469700.0  2877  0.978
    : 400469701.0  2789  0.964
    : 400469703.0  2604  0.886
    : 400469704.0  2634  0.959
    : 400469873.0  2281  0.854
    : 400469874.0  2276  0.889
    : 400470607.0  2093  0.870
    : 400470625.0  2106  0.819
    : 400470820.0  2291  0.840
    : 400470838.0  2156  0.881
    : 400470879.0  3236  0.973
    : 400470920.0  2181  0.923
    : 400470922.0  2244  0.935
    : 400470977.0  2027  0.813
    : 400471075.0  2135  0.825
    : 400471148.0  2571  0.869
    : 400471245.0  2531  0.898
    : 400471246.0  2276  0.858
    : 400471280.0  2159  0.837
    : 400471332.0  2014  0.815
    : 400471479.0  2461  0.871
    : 400471505.0  2496  0.952
    : 400471509.0  2053  0.843
    : 400471709.0  2061  0.836
    : 400471928.0  2268  0.851
    : 400471971.0  2285  0.892
    : 400471980.0  2238  0.853
    : 400471983.0  2126  0.820
    : 400471986.0  2024  0.896
    : 400471987.0  2768  0.958
    : 400471988.0  2851  0.966
    : 400472226.0  2466  0.894
    : 400472257.0  2056  0.851
    : 400472258.0  2619  0.948
    : 400472259.0  2910  0.958
    : 400472260.0  2599  0.930
    : 400472261.0  2302  0.858
    : 400472262.0  2133  0.884
    : 400472263.0  2186  0.885
    : 400472267.0  2248  0.851
    : 400472273.0  2560  0.910
    : 400472274.0  2267  0.857
    : 400472275.0  2568  0.918
    : 400472277.0  2149  0.840
    : 400472278.0  2723  0.947
    : 400472282.0  2021  0.859
    : 400474584.0  2440  0.861
    : 400474597.0  2115  0.848
    : 400474607.0  2009  0.842
    : 400474626.0  2560  0.877
    : 400474627.0  2443  0.885
    : 400474630.0  2066  0.859
    : 400474635.0  2110  0.864
    : 400474638.0  2618  0.890
    : 400474639.0  2122  0.868
    : 400474649.0  2414  0.880
    : 400474658.0  2477  0.883
    : 400474693.0  2097  0.897
    : 400474694.0  2734  0.944
    : 400474698.0  2053  0.876
    : 400474699.0  2398  0.901
    : 400474704.0  2348  0.867
    : 400474708.0  2124  0.859
    : 400474710.0  2222  0.862
    : 400474712.0  2649  0.889
    : 400474713.0  2609  0.933
    : 400474715.0  2329  0.875
    : 400474716.0  2477  0.895
    : 400474724.0  2120  0.850
    : 400474731.0  2463  0.888
    : 400474732.0  2919  0.947
    : 400474733.0  2538  0.957
    : 400474734.0  2706  0.931
    : 400474735.0  2336  0.903
    : 400474736.0  2579  0.931
    : 400474737.0  2623  0.952
    : 400474738.0  2612  0.958
    : 400474739.0  2449  0.960
    : 400474740.0  2962  0.990
    : 400474741.0  2885  0.961
    : 400474742.0  2659  0.956
    : 400474743.0  2427  0.941
    : 400474744.0  2375  0.941
    : 400474745.0  2684  0.982
    : 400474746.0  2729  0.968
    : 400474747.0  2770  0.987
    : 400474748.0  2825  0.978
    : 400474749.0  2528  0.919
    : 400474750.0  2592  0.961
    : 400474751.0  2683  0.941
    : 400474752.0  2680  0.967
    : 400474753.0  2798  0.984
    : 400474754.0  2914  0.982
    : 400474755.0  2798  0.962
    : 400474756.0  2783  0.973
    : 400474757.0  2464  0.927
    : 400474758.0  2671  0.932
    : 400474759.0  2640  0.964
    : 400474760.0  2595  0.916
    : 400474761.0  2778  0.958
    : 400474762.0  2562  0.967
    : 400474763.0  2948  0.980
    : 400474764.0  2828  0.973
    : 400474766.0  2089  0.854
    : 400474768.0  2430  0.900
    : 400474769.0  2610  0.946
    : 400474770.0  2693  0.961
    : 400474771.0  2906  0.973
    : 400474772.0  2761  0.967
    : 400474773.0  2932  0.997
    : 400474774.0  2677  0.946
    : 400474775.0  2696  0.958
    : 400474776.0  2953  0.991
    : 400474777.0  2792  0.980
    : 400474778.0  2810  0.997
    : 400474779.0  2911  0.977
    : 400474780.0  2912  0.986
    : 400474781.0  2906  0.991
    : 400474782.0  2286  0.891
    : 400474783.0  2771  0.992
    : 400474784.0  2825  0.989
    : 400474785.0  2919  0.992
    : 400474787.0  2533  0.896
    : 400474788.0  2769  0.986
    : 400474789.0  2675  0.943
    : 400474790.0  2002  0.831
    : 400474791.0  2838  0.968
    : 400474792.0  2905  0.986
    : 400474793.0  2856  0.999
    : 400474794.0  2101  0.872
    : 400474795.0  2680  0.945
    : 400474797.0  2821  0.979
    : 400474798.0  2415  0.935
    : 400474799.0  2717  0.928
    : 400474800.0  2559  0.939
    : 400474801.0  2289  0.943
    : 400474802.0  2809  0.972
    : 400474803.0  2812  0.940
    : 400474804.0  2829  0.957
    : 400474805.0  2845  0.963
    : 400474806.0  2578  0.972
    : 400474807.0  2868  0.976
    : 400474808.0  2343  0.918
    : 400474809.0  2356  0.918
    : 400474810.0  2387  0.901
    : 400474811.0  2789  0.967
    : 400474812.0  2233  0.875
    : 400474813.0  2578  0.917
    : 400474814.0  2385  0.919
    : 400474815.0  2346  0.923
    : 400474817.0  2246  0.915
    : 400474818.0  2463  0.930
    : 400474819.0  2286  0.915
    : 400474820.0  2301  0.903
    : 400474821.0  2455  0.931
    : 400474831.0  2270  0.863
    : 400474845.0  2817  0.924
    : 400474846.0  2447  0.915
    : 400474847.0  2440  0.925
    : 400474848.0  2245  0.885
    : 400474850.0  2495  0.884
    : 400474851.0  2587  0.937
    : 400474852.0  2572  0.912
    : 400474853.0  2303  0.864
    : 400474854.0  2325  0.898
    : 400474855.0  2334  0.916
    : 400474856.0  2742  0.944
    : 400474857.0  2298  0.882
    : 400474858.0  2920  0.978
    : 400474859.0  2851  0.974
    : 400474860.0  2509  0.977
    : 400474861.0  2734  0.983
    : 400474862.0  2611  0.939
    : 400474863.0  2797  0.974
    : 400474864.0  2541  0.928
    : 400474865.0  2604  0.925
    : 400474866.0  2663  0.948
    : 400474869.0  2692  0.906
    : 400474874.0  2241  0.874
    : 400474883.0  2459  0.904
    : 400474884.0  2733  0.928
    : 400474885.0  2589  0.900
    : 400474888.0  2135  0.865
    : 400474898.0  2577  0.894
    : 400474901.0  2797  0.930
    : 400474902.0  2336  0.920
    : 400474903.0  2315  0.884
    : 400474906.0  2348  0.860
    : 400474907.0  2552  0.879
    : 400474910.0  2701  0.899
    : 400474911.0  2323  0.891
    : 400474913.0  2286  0.873
    : 400474921.0  2073  0.864
    : 400474922.0  2412  0.922
    : 400474923.0  2460  0.883
    : 400474924.0  2877  0.948
    : 400474925.0  2071  0.887
    : 400474926.0  2502  0.927
    : 400474927.0  2030  0.853
    : 400474929.0  2687  0.933
    : 400474930.0  2796  0.937
    : 400474931.0  2551  0.910
    : 400474932.0  2674  0.933
    : 400474933.0  2421  0.918
    : 400474934.0  2624  0.923
    : 400474936.0  2402  0.881
    : 400474937.0  2727  0.897
    : 400474938.0  2595  0.890
    : 400474941.0  2061  0.886
    : 400474942.0  2423  0.914
    : 400474944.0  2016  0.828
    : 400474959.0  2279  0.903
    : 400474960.0  2555  0.909
    : 400474964.0  2397  0.915
    : 400474965.0  2144  0.858
    : 400474966.0  2145  0.860
    : 400474968.0  2104  0.864
    : 400474969.0  2026  0.858
    : 400474975.0  2144  0.850
    : 400474977.0  2546  0.913
    : 400474979.0  2557  0.934
    : 400474980.0  2369  0.960
    : 400474981.0  2806  0.976
    : 400474982.0  2850  0.987
    : 400474983.0  2851  0.982
    : 400474984.0  2943  0.984
    : 400474985.0  2875  0.951
    : 400474986.0  2867  0.980
    : 400474987.0  2825  0.948
    : 400474988.0  2727  0.970
    : 400474989.0  2510  0.936
    : 400474990.0  2801  0.973
    : 400474991.0  2559  0.922
    : 400474992.0  2852  0.965
    : 400474993.0  2504  0.905
    : 400475000.0  2491  0.887
    : 400475001.0  2719  0.981
    : 400475004.0  2243  0.855
    : 400475005.0  2159  0.877
    : 400475006.0  2723  0.914
    : 400475007.0  2493  0.931
    : 400475009.0  2470  0.923
    : 400475010.0  2144  0.846
    : 400475013.0  2271  0.900
    : 400475020.0  2849  0.943
    : 400475021.0  2700  0.945
    : 400475022.0  2796  0.997
    : 400475023.0  2711  0.998
    : 400475024.0  2547  1.000
    : 400475025.0  2753  0.983
    : 400475026.0  2880  1.000
    : 400475027.0  2800  0.999
    : 400475028.0  2460  0.892
    : 400475029.0  2414  0.893
    : 400475032.0  2411  0.915
    : 400475033.0  2802  0.959
    : 400475034.0  2899  0.991
    : 400475035.0  2659  0.970
    : 400475036.0  2665  0.953
    : 400475037.0  2376  0.872
    : 400475038.0  2679  0.987
    : 400475039.0  2911  0.979
    : 400475040.0  2623  0.934
    : 400475041.0  2839  0.980
    : 400475042.0  2416  0.933
    : 400475043.0  2521  0.906
    : 400475044.0  2628  0.956
    : 400475045.0  2340  0.915
    : 400475046.0  2274  0.860
    : 400475052.0  2451  0.876
    : 400475054.0  2106  0.861
    : 400475057.0  2871  0.927
    : 400475058.0  2624  0.904
    : 400475059.0  2289  0.896
    : 400475060.0  2389  0.881
    : 400475062.0  2292  0.871
    : 400475063.0  2672  0.914
    : 400475064.0  2245  0.894
    : 400475073.0  2585  0.869
    : 400475075.0  2620  0.916
    : 400475076.0  2055  0.860
    : 400475079.0  2699  0.917
    : 400475081.0  2542  0.937
    : 400475082.0  2791  0.994
    : 400475084.0  2735  0.951
    : 400475085.0  2547  0.955
    : 400475086.0  2876  0.985
    : 400475087.0  2548  0.937
    : 400475088.0  2722  0.972
    : 400475090.0  2905  0.956
    : 400475091.0  2643  0.941
    : 400475092.0  2824  0.972
    : 400475093.0  2543  0.899
    : 400475094.0  2879  0.981
    : 400475095.0  2398  0.961
    : 400475096.0  2657  0.949
    : 400475097.0  2777  0.954
    : 400475098.0  2760  0.953
    : 400475099.0  2267  0.918
    : 400475100.0  2647  0.955
    : 400475101.0  2688  0.956
    : 400475102.0  2176  0.878
    : 400475103.0  2573  0.904
    : 400475104.0  2606  0.960
    : 400475105.0  2654  0.934
    : 400475106.0  2609  0.930
    : 400475107.0  2585  0.916
    : 400475109.0  2511  0.949
    : 400475110.0  2742  0.936
    : 400475111.0  2676  0.927
    : 400475112.0  2683  0.925
    : 400475113.0  2139  0.847
    : 400475115.0  2553  0.944
    : 400475116.0  2620  0.941
    : 400475118.0  2309  0.889
    : 400475119.0  2472  0.915
    : 400475120.0  2839  0.945
    : 400475121.0  2665  0.945
    : 400475122.0  2814  0.956
    : 400475123.0  2313  0.896
    : 400475124.0  2356  0.890
    : 400475125.0  2726  0.946
    : 400475126.0  2436  0.935
    : 400475127.0  2827  0.952
    : 400475128.0  2793  0.936
    : 400475129.0  2429  0.923
    : 400475131.0  2446  0.883
    : 400475133.0  2631  0.921
    : 400475137.0  2163  0.875
    : 400475139.0  2324  0.892
    : 400475140.0  2699  0.919
    : 400475141.0  2441  0.900
    : 400475142.0  2101  0.881
    : 400475143.0  2378  0.883
    : 400475144.0  2250  0.878
    : 400475145.0  2575  0.927
    : 400475146.0  2033  0.865
    : 400475148.0  2250  0.865
    : 400475149.0  2482  0.911
    : 400475150.0  2768  0.934
    : 400475159.0  2327  0.883
    : 400475160.0  2780  0.938
    : 400475161.0  2464  0.918
    : 400475162.0  2528  0.949
    : 400475163.0  2129  0.882
    : 400475164.0  2551  0.919
    : 400475165.0  2068  0.857
    : 400475166.0  2197  0.924
    : 400475167.0  2761  0.965
    : 400475168.0  2854  0.971
    : 400475169.0  2110  0.879
    : 400475171.0  2182  0.849
    : 400475172.0  2339  0.862
    : 400475173.0  2566  0.906
    : 400475194.0  2225  0.853
    : 400475197.0  2570  0.900
    : 400475198.0  2011  0.850
    : 400475199.0  2102  0.872
    Total number of 1 second bins: 7145
    Bins with >0 counts          : 5444
    Bins with >2000 counts       : 410
    410 of 410 high count rate bins were dominated by noise
    Noise dominated 5.74% of total time, 7.53% of detector on time (defined as non-zero counts)