Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 426560586.0  2456  0.864
    : 426560587.0  2167  0.856
    : 426560644.0  2555  0.843
    : 426560912.0  2130  0.797
    : 426560913.0  2075  0.823
    : 426560914.0  2027  0.833
    : 426560915.0  2256  0.849
    : 426560916.0  2086  0.775
    : 426560919.0  2161  0.819
    : 426560920.0  2229  0.846
    : 426560921.0  2019  0.811
    : 426560925.0  2075  0.806
    : 426560926.0  2411  0.861
    : 426560948.0  2345  0.824
    : 426560949.0  2145  0.870
    : 426560950.0  2423  0.847
    : 426560951.0  2469  0.855
    : 426560952.0  2398  0.863
    : 426561259.0  2138  0.924
    : 426562382.0  2133  0.874
    : 426562476.0  2153  0.853
    : 426562815.0  2142  0.833
    : 426562950.0  2002  0.825
    : 426562956.0  2626  0.879
    : 426562979.0  2317  0.873
    : 426563007.0  2093  0.815
    : 426563019.0  2168  0.792
    : 426563023.0  2220  0.821
    : 426563047.0  2729  0.865
    : 426563062.0  2080  0.848
    : 426563123.0  2534  0.853
    : 426563136.0  2332  0.914
    : 426563300.0  2595  0.834
    : 426563319.0  2053  0.815
    : 426563325.0  4923  0.965
    : 426563336.0  2114  0.842
    : 426563357.0  2987  0.859
    : 426563372.0  3195  0.882
    : 426563378.0  2883  0.895
    : 426563394.0  2517  0.885
    : 426563395.0  2110  0.859
    : 426563398.0  2223  0.874
    : 426563408.0  2890  0.868
    : 426563412.0  2218  0.884
    : 426563424.0  2300  0.859
    : 426563446.0  2249  0.823
    : 426563449.0  2083  0.818
    : 426563462.0  2417  0.871
    : 426563463.0  2942  0.934
    : 426563465.0  2684  0.867
    : 426563516.0  2333  0.858
    : 426563517.0  2538  0.904
    : 426563518.0  3065  0.897
    : 426563520.0  2383  0.896
    : 426563521.0  3298  0.919
    : 426563523.0  3580  0.932
    : 426563524.0  2495  0.937
    : 426563526.0  2255  0.827
    : 426563528.0  3183  0.891
    : 426563530.0  2597  0.855
    : 426563531.0  2345  0.916
    : 426563532.0  2051  0.930
    : 426563536.0  2201  0.838
    : 426563537.0  2311  0.862
    : 426563538.0  3467  0.916
    : 426563540.0  2188  0.891
    : 426563541.0  2352  0.841
    : 426563542.0  2311  0.855
    : 426563543.0  2032  0.842
    : 426563545.0  2331  0.836
    : 426563547.0  2576  0.898
    : 426563548.0  2379  0.871
    : 426563549.0  2340  0.852
    : 426563551.0  2020  0.819
    : 426563556.0  2747  0.878
    : 426563557.0  2221  0.882
    : 426563558.0  2492  0.867
    : 426563560.0  2155  0.817
    : 426563562.0  2715  0.917
    : 426563563.0  2456  0.899
    : 426563564.0  2348  0.899
    : 426563568.0  2170  0.824
    : 426563570.0  2327  0.856
    : 426563573.0  2492  0.892
    : 426563574.0  2628  0.906
    : 426563577.0  2859  0.871
    : 426563579.0  2915  0.893
    : 426563581.0  2037  0.843
    : 426563582.0  2798  0.915
    : 426563584.0  2481  0.866
    : 426563589.0  3345  0.903
    : 426563595.0  2424  0.894
    : 426563596.0  2446  0.883
    : 426563597.0  2157  0.909
    : 426563598.0  2857  0.890
    : 426563599.0  2363  0.904
    : 426563600.0  2511  0.904
    : 426563601.0  2852  0.926
    : 426563603.0  2152  0.837
    : 426563604.0  2577  0.911
    : 426563607.0  2906  0.902
    : 426563608.0  2421  0.868
    : 426563609.0  2402  0.935
    : 426563611.0  3234  0.896
    : 426563612.0  2283  0.900
    : 426563615.0  2191  0.837
    : 426563616.0  2547  0.917
    : 426563618.0  2600  0.905
    : 426563620.0  2390  0.859
    : 426563623.0  2046  0.822
    : 426563624.0  2707  0.895
    : 426563628.0  2830  0.892
    : 426563629.0  2342  0.907
    : 426563630.0  2502  0.896
    : 426563631.0  2449  0.898
    : 426563632.0  2493  0.915
    : 426563634.0  2507  0.860
    : 426563636.0  2036  0.822
    : 426563638.0  2491  0.858
    : 426563644.0  3992  0.953
    : 426563645.0  2454  0.957
    : 426563646.0  3710  0.969
    : 426563649.0  2298  0.854
    : 426563651.0  3212  0.909
    : 426563653.0  2503  0.855
    : 426563656.0  2310  0.877
    : 426563657.0  2003  0.842
    : 426563658.0  2910  0.886
    : 426563659.0  2060  0.864
    : 426563669.0  2260  0.826
    : 426563673.0  2816  0.882
    : 426563678.0  2318  0.837
    : 426563680.0  3998  0.912
    : 426563682.0  2139  0.863
    : 426563683.0  4196  0.959
    : 426563684.0  2444  0.967
    : 426563687.0  3691  0.953
    : 426563688.0  3660  0.950
    : 426563689.0  2455  0.945
    : 426563690.0  2536  0.965
    : 426563691.0  2831  0.949
    : 426563692.0  2756  0.944
    : 426563693.0  2789  0.968
    : 426563695.0  3580  0.930
    : 426563696.0  2174  0.954
    : 426563697.0  3311  0.955
    : 426563698.0  2781  0.965
    : 426563699.0  2448  0.961
    : 426563700.0  2053  0.939
    : 426563701.0  3082  0.962
    : 426563702.0  2701  0.963
    : 426563703.0  2618  0.961
    : 426563704.0  2578  0.973
    : 426563705.0  2158  0.934
    : 426563707.0  4066  0.959
    : 426563708.0  2602  0.959
    : 426563709.0  2656  0.964
    : 426563711.0  3311  0.949
    : 426563712.0  2556  0.959
    : 426563713.0  2257  0.959
    : 426563714.0  2805  0.957
    : 426563715.0  2127  0.951
    : 426563716.0  3178  0.955
    : 426563717.0  2754  0.972
    : 426563718.0  2449  0.967
    : 426563719.0  2473  0.957
    : 426563720.0  2216  0.939
    : 426563721.0  2716  0.954
    : 426563722.0  2302  0.941
    : 426563723.0  2520  0.946
    : 426563724.0  2856  0.922
    : 426563725.0  2829  0.963
    : 426563726.0  2060  0.934
    : 426563728.0  2710  0.930
    : 426563729.0  2888  0.952
    : 426563730.0  2720  0.948
    : 426563731.0  2918  0.952
    : 426563733.0  2527  0.947
    : 426563734.0  2633  0.938
    : 426563735.0  2982  0.938
    : 426563736.0  2606  0.941
    : 426563738.0  3657  0.938
    : 426563739.0  2545  0.967
    : 426563740.0  2595  0.951
    : 426563741.0  3298  0.960
    : 426563742.0  2775  0.966
    : 426563744.0  3445  0.963
    : 426563745.0  2689  0.972
    : 426563746.0  2337  0.956
    : 426563747.0  2356  0.948
    : 426563748.0  2860  0.957
    : 426563749.0  2423  0.961
    : 426563750.0  2635  0.946
    : 426563755.0  3114  0.888
    : 426563757.0  2697  0.927
    : 426563758.0  2370  0.921
    : 426563760.0  2899  0.927
    : 426563762.0  2794  0.884
    : 426563763.0  2662  0.922
    : 426563765.0  2441  0.859
    : 426563768.0  2360  0.855
    : 426563769.0  3605  0.936
    : 426563771.0  2236  0.903
    : 426563772.0  3906  0.948
    : 426563773.0  2740  0.973
    : 426563774.0  2198  0.930
    : 426563776.0  2147  0.869
    : 426563777.0  3913  0.965
    : 426563803.0  3020  0.867
    : 426563805.0  2443  0.899
    : 426563807.0  2675  0.919
    : 426563808.0  2029  0.912
    : 426563809.0  2340  0.843
    : 426563810.0  2041  0.855
    : 426563827.0  2154  0.836
    : 426563865.0  2017  0.814
    : 426563936.0  2025  0.795
    : 426563939.0  2434  0.857
    : 426563950.0  2627  0.852
    : 426563951.0  2994  0.916
    : 426563953.0  2504  0.858
    : 426563954.0  2648  0.921
    : 426563956.0  2617  0.848
    : 426563957.0  2219  0.894
    : 426563958.0  2953  0.945
    : 426563960.0  2038  0.831
    : 426563961.0  3463  0.913
    : 426563964.0  2536  0.873
    : 426563967.0  2951  0.892
    : 426563968.0  2032  0.894
    : 426563969.0  2522  0.868
    : 426563970.0  2148  0.864
    : 426563972.0  2010  0.813
    : 426563973.0  2723  0.876
    : 426563974.0  2272  0.895
    : 426563975.0  3106  0.932
    : 426563977.0  2191  0.850
    : 426563979.0  2604  0.884
    : 426563980.0  2999  0.937
    : 426563982.0  2445  0.859
    : 426563983.0  3590  0.927
    : 426563986.0  2316  0.884
    : 426563987.0  2684  0.869
    : 426563988.0  2726  0.898
    : 426563989.0  2873  0.928
    : 426563991.0  2208  0.827
    : 426564001.0  2209  0.845
    : 426564002.0  2059  0.804
    : 426564007.0  3098  0.905
    : 426564015.0  2020  0.856
    : 426564016.0  2214  0.803
    : 426564037.0  2559  0.873
    : 426564043.0  2130  0.852
    : 426564057.0  2235  0.893
    : 426564069.0  2023  0.808
    : 426564074.0  2076  0.824
    : 426564077.0  2180  0.832
    : 426564078.0  2474  0.879
    : 426564079.0  2098  0.848
    : 426564086.0  2518  0.870
    : 426564087.0  2163  0.856
    : 426564091.0  2851  0.902
    : 426564099.0  2214  0.825
    : 426564100.0  2576  0.917
    : 426564101.0  2116  0.884
    : 426564102.0  2177  0.830
    : 426564103.0  2141  0.870
    : 426564105.0  2647  0.873
    : 426564107.0  3075  0.880
    : 426564108.0  2712  0.923
    : 426564109.0  2332  0.905
    : 426564110.0  2225  0.911
    : 426564111.0  2272  0.875
    : 426564112.0  2580  0.911
    : 426564113.0  2284  0.905
    : 426564115.0  2039  0.797
    : 426564119.0  2243  0.834
    : 426564123.0  2570  0.904
    : 426564124.0  2321  0.910
    : 426564125.0  2760  0.880
    : 426564135.0  2509  0.847
    : 426564140.0  2883  0.881
    : 426564142.0  2122  0.841
    : 426564145.0  2182  0.844
    : 426564159.0  2034  0.799
    : 426564164.0  2033  0.804
    : 426564168.0  2021  0.810
    : 426564176.0  2059  0.833
    : 426564383.0  4474  0.930
    : 426564555.0  2152  0.815
    : 426564556.0  3826  0.937
    : 426564563.0  2218  0.839
    : 426564567.0  2253  0.837
    : 426564585.0  2151  0.824
    : 426564599.0  2099  0.835
    : 426564640.0  3081  0.876
    : 426564641.0  2216  0.921
    : 426564642.0  3328  0.932
    : 426564643.0  2307  0.964
    : 426564645.0  2211  0.872
    : 426564647.0  2170  0.865
    : 426564648.0  2142  0.880
    : 426564649.0  2198  0.849
    : 426564653.0  2031  0.812
    : 426564654.0  2738  0.896
    : 426564656.0  2186  0.821
    : 426564657.0  2002  0.806
    : 426564659.0  2067  0.804
    : 426564661.0  2251  0.844
    : 426564662.0  2179  0.906
    : 426564663.0  2748  0.924
    : 426564664.0  3043  0.936
    : 426564665.0  2624  0.947
    : 426564667.0  2061  0.820
    : 426564669.0  2870  0.836
    : 426564674.0  2127  0.824
    : 426564675.0  2075  0.838
    : 426564676.0  2058  0.814
    : 426564677.0  2364  0.903
    : 426564679.0  2135  0.810
    : 426564680.0  2178  0.871
    : 426564681.0  4116  0.967
    : 426564683.0  2582  0.947
    : 426564689.0  2150  0.803
    : 426564690.0  2143  0.825
    : 426564691.0  2223  0.829
    : 426564692.0  3873  0.928
    : 426566856.0  2213  0.860
    : 426566857.0  2058  0.845
    : 426567276.0  2166  0.840
    : 426567280.0  2211  0.836
    : 426567286.0  2068  0.810
    : 426567289.0  2047  0.817
    : 426567290.0  2382  0.838
    : 426567298.0  2237  0.826
    : 426567327.0  2071  0.831
    : 426567336.0  2311  0.855
    : 426567348.0  2186  0.861
    : 426567356.0  2286  0.862
    : 426567358.0  2006  0.806
    : 426567360.0  2136  0.817
    : 426567539.0  2024  0.835
    : 426567547.0  2052  0.813
    : 426567550.0  2243  0.842
    : 426567556.0  2140  0.848
    : 426567565.0  2170  0.832
    : 426567571.0  2114  0.856
    : 426567576.0  2090  0.844
    : 426567577.0  2096  0.847
    : 426567578.0  2186  0.826
    : 426567582.0  2483  0.843
    : 426567584.0  2057  0.836
    : 426567585.0  2084  0.825
    : 426567586.0  2157  0.841
    : 426567587.0  2050  0.836
    : 426567590.0  2103  0.834
    : 426567614.0  2042  0.807
    Total number of 1 second bins: 7201
    Bins with >0 counts          : 5049
    Bins with >2000 counts       : 357
    357 of 357 high count rate bins were dominated by noise
    Noise dominated 4.96% of total time, 7.07% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 426560691.0  2130  0.799
    : 426560699.0  2962  0.878
    : 426560908.0  2483  0.870
    : 426560916.0  2055  0.783
    : 426560926.0  2345  0.853
    : 426561665.0  2349  0.852
    : 426564268.0  2110  0.814
    Total number of 1 second bins: 7201
    Bins with >0 counts          : 5049
    Bins with >2000 counts       : 7
    7 of 7 high count rate bins were dominated by noise
    Noise dominated 0.10% of total time, 0.14% 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: 7201
    Bins with >0 counts          : 5049
    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
    : 426560588.0  3144  0.907
    : 426560604.0  2212  0.811
    : 426560710.0  2174  0.852
    : 426560718.0  2549  0.858
    : 426560733.0  2461  0.862
    : 426560734.0  2436  0.871
    : 426560832.0  2740  0.855
    : 426560839.0  3448  0.920
    : 426560842.0  3319  0.908
    : 426560843.0  2935  0.876
    : 426560846.0  2604  0.873
    : 426560847.0  2066  0.896
    : 426560848.0  2210  0.841
    : 426560849.0  2334  0.850
    : 426560850.0  2511  0.871
    : 426560852.0  2156  0.818
    : 426560853.0  2835  0.958
    : 426560854.0  3103  0.915
    : 426560859.0  3285  0.904
    : 426560863.0  2244  0.834
    : 426560867.0  2242  0.861
    : 426560873.0  2607  0.918
    : 426560882.0  2899  0.891
    : 426560883.0  4555  0.959
    : 426560885.0  2136  0.937
    : 426560889.0  2661  0.881
    : 426560890.0  2247  0.860
    : 426560891.0  2137  0.849
    : 426560892.0  2667  0.943
    : 426560927.0  2008  0.836
    : 426560929.0  4952  0.966
    : 426560933.0  2032  0.942
    : 426560944.0  2137  0.827
    : 426560945.0  2379  0.934
    : 426560946.0  2636  0.922
    : 426561066.0  3423  0.907
    : 426561213.0  2011  0.851
    : 426561216.0  2559  0.866
    : 426561223.0  3904  0.945
    : 426561224.0  2121  1.000
    : 426561225.0  2421  0.982
    : 426561226.0  2317  1.000
    : 426561227.0  2245  1.000
    : 426561307.0  2262  0.902
    : 426561438.0  2464  0.874
    : 426561965.0  2738  0.925
    : 426562281.0  2612  0.905
    : 426562304.0  2028  0.869
    : 426562380.0  2769  0.916
    : 426562402.0  3439  0.911
    : 426562453.0  4112  0.949
    : 426562457.0  2572  0.941
    : 426562458.0  3696  0.914
    : 426562460.0  4050  0.943
    : 426562463.0  3115  0.909
    : 426562464.0  2762  0.946
    : 426562470.0  2039  0.874
    : 426562475.0  2709  0.897
    : 426562514.0  2048  0.906
    : 426562515.0  3296  0.945
    : 426562522.0  3610  0.936
    : 426562930.0  2340  0.851
    : 426562931.0  2816  0.890
    : 426562933.0  2208  0.874
    : 426562981.0  2958  0.928
    : 426562991.0  3891  0.971
    : 426563051.0  2069  0.870
    : 426563054.0  2033  0.857
    : 426563058.0  3181  0.936
    : 426563059.0  2437  0.945
    : 426563060.0  3263  0.964
    : 426563061.0  2270  0.974
    : 426564019.0  2222  0.831
    : 426564023.0  3171  0.942
    : 426564204.0  2829  0.893
    : 426564244.0  2194  0.850
    : 426564254.0  2521  0.857
    : 426564258.0  2267  0.864
    : 426564264.0  2137  0.846
    : 426564265.0  2270  0.847
    : 426564266.0  2381  0.866
    : 426564268.0  2128  0.841
    : 426564276.0  2062  0.803
    : 426564277.0  2428  0.877
    : 426564281.0  2508  0.854
    : 426564282.0  2170  0.879
    : 426564283.0  2092  0.837
    : 426564285.0  2173  0.874
    : 426564286.0  2078  0.799
    : 426564287.0  2321  0.871
    : 426564288.0  2661  0.877
    : 426564289.0  2209  0.877
    : 426564291.0  2243  0.823
    : 426564292.0  2208  0.874
    : 426564293.0  2627  0.925
    : 426564294.0  2018  0.824
    : 426564295.0  2734  0.892
    : 426564298.0  2121  0.809
    : 426564300.0  2004  0.820
    : 426564301.0  2069  0.827
    : 426564302.0  2672  0.856
    : 426564303.0  2204  0.890
    : 426564304.0  2657  0.879
    : 426564305.0  2019  0.834
    : 426564308.0  2388  0.851
    : 426564310.0  2151  0.826
    : 426564311.0  2060  0.860
    : 426564312.0  2273  0.845
    : 426564325.0  2320  0.860
    : 426564337.0  2539  0.861
    : 426564432.0  2986  0.887
    : 426564479.0  2756  0.888
    : 426567120.0  2272  0.849
    : 426567249.0  2270  0.921
    : 426567257.0  3019  0.948
    : 426567259.0  3510  0.951
    : 426567263.0  2551  0.868
    : 426567265.0  3207  0.930
    : 426567266.0  2062  0.945
    : 426567268.0  2226  0.901
    : 426567269.0  2422  0.924
    : 426567271.0  2123  0.954
    : 426567273.0  2475  0.957
    : 426567275.0  2387  0.884
    : 426567279.0  3404  0.943
    : 426567280.0  2343  0.972
    : 426567281.0  2214  0.967
    : 426567282.0  2202  0.970
    : 426567284.0  2330  0.948
    : 426567285.0  2433  0.924
    : 426567372.0  2616  0.880
    : 426567374.0  2326  0.864
    : 426567376.0  2351  0.936
    : 426567377.0  2265  0.899
    : 426567378.0  2307  0.907
    : 426567379.0  3333  0.948
    : 426567381.0  2576  0.979
    : 426567382.0  2504  0.987
    : 426567383.0  2522  0.983
    : 426567384.0  2664  0.976
    : 426567385.0  2539  0.987
    : 426567386.0  2369  0.980
    : 426567387.0  2506  0.997
    : 426567388.0  2531  0.996
    : 426567390.0  3162  0.892
    : 426567391.0  3622  0.971
    : 426567392.0  2515  0.992
    : 426567394.0  2150  0.865
    : 426567395.0  3957  0.922
    : 426567404.0  3223  0.892
    : 426567407.0  2321  0.869
    : 426567411.0  2212  0.885
    : 426567412.0  2078  0.852
    : 426567413.0  2929  0.872
    : 426567415.0  3686  0.930
    Total number of 1 second bins: 7201
    Bins with >0 counts          : 5049
    Bins with >2000 counts       : 155
    155 of 155 high count rate bins were dominated by noise
    Noise dominated 2.15% of total time, 3.07% of detector on time (defined as non-zero counts)