Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 444692320.0  2676  0.886
    : 444692322.0  3473  0.955
    : 444692323.0  2508  0.970
    : 444692324.0  2406  0.956
    : 444692325.0  2384  0.983
    : 444692326.0  2368  0.989
    : 444692327.0  2196  0.976
    : 444692328.0  2519  0.985
    : 444692329.0  2520  0.974
    : 444692330.0  2344  0.994
    : 444692331.0  2086  0.987
    : 444692332.0  2333  0.976
    : 444692333.0  2810  0.963
    : 444692334.0  2577  0.961
    : 444692335.0  2625  0.949
    : 444692336.0  2795  0.989
    : 444692337.0  2632  0.961
    : 444692349.0  2831  0.903
    : 444692381.0  2819  0.910
    : 444692388.0  2599  0.876
    : 444692390.0  2896  0.904
    : 444692392.0  2912  0.898
    : 444692396.0  3330  0.909
    : 444692397.0  2658  0.932
    : 444692399.0  4255  0.950
    : 444692400.0  2641  0.936
    : 444692401.0  2454  0.979
    : 444692402.0  2287  0.940
    : 444692404.0  2086  0.900
    : 444692405.0  2215  0.890
    : 444692406.0  2830  0.904
    : 444692407.0  3037  0.902
    : 444692409.0  3085  0.891
    : 444692411.0  2977  0.908
    : 444692413.0  2015  0.863
    : 444692414.0  3917  0.952
    : 444692415.0  2604  0.959
    : 444692416.0  2638  0.971
    : 444692417.0  2475  0.959
    : 444692418.0  2632  0.994
    : 444692420.0  3292  0.897
    : 444692421.0  2822  0.988
    : 444692422.0  2532  0.996
    : 444692423.0  2710  0.960
    : 444692427.0  3847  0.958
    : 444692447.0  2181  0.863
    : 444692448.0  2650  0.895
    : 444692449.0  2075  0.877
    : 444692450.0  3724  0.942
    : 444692451.0  2592  0.937
    : 444692452.0  2604  0.953
    : 444692454.0  2098  0.942
    : 444692455.0  2577  0.890
    : 444692457.0  3595  0.923
    : 444692459.0  3062  0.923
    : 444692460.0  2134  0.922
    : 444692462.0  3628  0.934
    : 444692463.0  2414  0.959
    : 444692464.0  2612  0.946
    : 444692465.0  2495  0.954
    : 444692466.0  2324  0.940
    : 444692469.0  2801  0.930
    : 444692486.0  3053  0.910
    : 444692487.0  2205  0.912
    : 444692496.0  3105  0.917
    : 444692517.0  2344  0.875
    : 444692550.0  2269  0.853
    : 444692561.0  2656  0.872
    : 444692673.0  2059  0.856
    : 444692674.0  2031  0.839
    : 444692676.0  2355  0.888
    : 444692678.0  2118  0.844
    : 444692679.0  3082  0.911
    : 444692680.0  2348  0.902
    : 444692699.0  2144  0.855
    : 444692701.0  2237  0.865
    : 444692708.0  2267  0.872
    : 444692748.0  2067  0.897
    : 444692765.0  2275  0.858
    : 444692766.0  2138  0.931
    : 444692770.0  2481  0.891
    : 444692777.0  2125  0.873
    : 444692778.0  2330  0.880
    : 444692779.0  2487  0.880
    : 444692794.0  2815  0.900
    : 444692796.0  3040  0.919
    : 444692797.0  2445  0.933
    : 444692798.0  2732  0.969
    : 444692810.0  3997  0.934
    : 444692812.0  2152  0.887
    : 444692813.0  2395  0.885
    : 444692814.0  3450  0.904
    : 444692815.0  2858  0.975
    : 444692816.0  2707  0.978
    : 444692817.0  2205  0.969
    : 444692818.0  2544  0.972
    : 444692819.0  2594  0.951
    : 444692820.0  2800  0.971
    : 444692821.0  2796  0.960
    : 444692823.0  3100  0.900
    : 444692825.0  2694  0.889
    : 444692826.0  3153  0.921
    : 444692827.0  2741  0.945
    : 444692830.0  3923  0.966
    : 444692833.0  3600  0.939
    : 444692837.0  2221  0.891
    : 444692841.0  3315  0.915
    : 444692842.0  2306  0.935
    : 444692845.0  2498  0.869
    : 444692846.0  2749  0.888
    : 444692850.0  3175  0.931
    : 444692851.0  2255  0.949
    : 444692852.0  2352  0.951
    : 444692853.0  2461  0.954
    : 444692861.0  2949  0.925
    : 444692862.0  2488  0.939
    : 444692863.0  2219  0.974
    : 444692864.0  2491  0.934
    : 444692865.0  2501  0.964
    : 444692871.0  2060  0.867
    : 444692893.0  2353  0.869
    : 444692894.0  2800  0.901
    : 444692895.0  2102  0.890
    : 444692896.0  3325  0.989
    : 444692897.0  2130  0.920
    : 444692898.0  2671  0.977
    : 444692899.0  2677  0.942
    : 444692900.0  2316  0.940
    : 444692901.0  2308  0.918
    : 444692902.0  2592  0.923
    : 444692906.0  2540  0.878
    : 444692907.0  3291  0.960
    : 444692908.0  2120  0.928
    : 444692910.0  2025  0.830
    : 444692911.0  2038  0.874
    : 444692915.0  2186  0.850
    : 444692921.0  2238  0.857
    : 444692925.0  2234  0.853
    : 444692927.0  2978  0.910
    : 444692929.0  3129  0.930
    : 444692930.0  2192  0.874
    : 444692931.0  2284  0.897
    : 444692933.0  2433  0.881
    : 444692937.0  2140  0.867
    : 444692939.0  2146  0.860
    : 444692943.0  2150  0.864
    : 444692944.0  3213  0.900
    : 444692945.0  2461  0.993
    : 444692964.0  3097  0.921
    : 444692965.0  2325  0.936
    : 444692967.0  3249  0.927
    : 444692968.0  2157  0.996
    : 444692969.0  2551  0.967
    : 444692971.0  2125  0.907
    : 444693022.0  2132  0.799
    : 444693023.0  2319  0.867
    : 444693032.0  2514  0.893
    : 444693033.0  3157  0.945
    : 444693035.0  2068  0.840
    : 444693036.0  3050  0.988
    : 444693046.0  2027  0.824
    : 444693047.0  2549  0.890
    : 444693063.0  2348  0.878
    : 444693065.0  2180  0.840
    : 444693066.0  2258  0.867
    : 444693067.0  2304  0.875
    : 444693069.0  2053  0.846
    : 444693095.0  3670  0.969
    : 444693146.0  3383  0.937
    : 444693147.0  2378  0.997
    : 444693169.0  2999  0.905
    : 444693173.0  2076  0.843
    : 444693174.0  2335  0.874
    : 444693176.0  2112  0.828
    : 444693177.0  2399  0.881
    : 444693179.0  2409  0.877
    : 444693180.0  2505  0.888
    : 444693186.0  2015  0.832
    : 444693187.0  2198  0.838
    : 444693194.0  2596  0.866
    : 444693208.0  2522  0.876
    : 444693210.0  3920  0.969
    : 444693211.0  2168  0.922
    : 444693212.0  2477  0.944
    : 444693234.0  2036  0.853
    : 444693237.0  2091  0.834
    : 444693259.0  3093  0.916
    : 444693279.0  4645  0.947
    : 444693301.0  3565  0.915
    : 444693302.0  2734  0.962
    : 444693303.0  2364  0.931
    : 444693313.0  4240  0.962
    : 444693314.0  2719  0.969
    : 444693316.0  2740  0.905
    : 444693346.0  2196  0.837
    : 444693397.0  2070  0.853
    : 444693503.0  2159  0.837
    : 444693505.0  2730  0.880
    : 444693508.0  2484  0.868
    : 444693509.0  2628  0.897
    : 444693512.0  2162  0.861
    : 444693526.0  2878  0.883
    : 444693527.0  2829  0.943
    : 444693528.0  2602  0.946
    : 444693529.0  2622  0.943
    : 444693530.0  2580  0.938
    : 444693533.0  3621  0.925
    : 444693535.0  2491  0.873
    : 444693536.0  2936  0.908
    : 444693537.0  2285  0.894
    : 444693538.0  2561  0.901
    : 444693541.0  2320  0.860
    : 444693542.0  2745  0.889
    : 444693543.0  2504  0.874
    : 444693561.0  2082  0.829
    : 444693563.0  2050  0.818
    : 444693564.0  2055  0.829
    : 444693566.0  2045  0.833
    : 444693568.0  2698  0.856
    : 444693574.0  2077  0.824
    : 444693582.0  2648  0.870
    : 444693628.0  2023  0.791
    : 444693749.0  2680  0.870
    : 444693792.0  2635  0.852
    : 444693793.0  2139  0.829
    : 444693799.0  2728  0.887
    : 444693800.0  3059  0.928
    : 444693802.0  3365  0.893
    : 444693804.0  2962  0.874
    : 444693805.0  2699  0.945
    : 444693807.0  2255  0.862
    : 444693808.0  2177  0.827
    : 444693809.0  2219  0.843
    : 444693810.0  2208  0.880
    : 444694224.0  2837  0.885
    : 444694225.0  2114  0.841
    : 444694227.0  2546  0.872
    : 444694234.0  2657  0.861
    : 444694235.0  2023  0.874
    : 444694237.0  2030  0.799
    : 444694242.0  2345  0.830
    : 444694558.0  2172  0.844
    : 444694559.0  2914  0.863
    : 444694562.0  2618  0.879
    : 444694573.0  2297  0.771
    : 444694581.0  3602  0.925
    : 444694582.0  2154  0.892
    : 444694586.0  2582  0.878
    : 444694587.0  2267  0.839
    : 444694588.0  2464  0.869
    : 444694589.0  2465  0.923
    : 444694593.0  2166  0.849
    : 444694596.0  2444  0.827
    : 444694597.0  2356  0.911
    : 444694611.0  2016  0.822
    : 444694612.0  2639  0.824
    : 444694614.0  2252  0.866
    : 444694616.0  2299  0.860
    : 444694617.0  2924  0.891
    : 444694618.0  2302  0.937
    : 444694620.0  2160  0.805
    : 444694624.0  2222  0.837
    : 444694625.0  2174  0.843
    : 444694634.0  2326  0.824
    : 444694638.0  2733  0.845
    : 444694644.0  2682  0.885
    : 444694645.0  2340  0.961
    : 444694646.0  2315  0.933
    : 444694647.0  2347  0.973
    : 444694648.0  2525  0.943
    : 444694650.0  2354  0.860
    : 444694651.0  3102  0.922
    : 444694653.0  2294  0.837
    : 444694659.0  3173  0.895
    : 444694660.0  2450  0.979
    : 444694661.0  2464  0.953
    : 444694662.0  2256  0.987
    : 444694663.0  2237  0.999
    : 444694665.0  2206  0.826
    : 444694803.0  2086  0.834
    : 444694874.0  2495  0.843
    : 444694889.0  2126  0.817
    : 444695038.0  2134  0.802
    : 444695118.0  2053  0.804
    : 444695943.0  2512  0.918
    : 444695945.0  2056  0.845
    : 444695946.0  2023  0.811
    : 444695955.0  2357  0.782
    : 444695956.0  2007  0.786
    : 444695957.0  2044  0.792
    : 444695958.0  2141  0.792
    : 444695959.0  2035  0.777
    : 444695962.0  2015  0.745
    : 444695966.0  2009  0.810
    : 444695967.0  2113  0.789
    : 444695968.0  2088  0.761
    Total number of 1 second bins: 4315
    Bins with >0 counts          : 3511
    Bins with >2000 counts       : 296
    296 of 296 high count rate bins were dominated by noise
    Noise dominated 6.86% of total time, 8.43% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 444693766.0  2350  0.863
    : 444694381.0  3005  0.879
    : 444694382.0  2170  0.829
    : 444694994.0  2114  0.818
    : 444695999.0  2589  0.937
    : 444696000.0  2634  0.970
    : 444696100.0  3598  0.916
    : 444696102.0  3136  0.930
    : 444696103.0  2645  0.936
    : 444696104.0  2317  0.919
    : 444696105.0  2144  0.917
    : 444696366.0  2176  0.852
    : 444696367.0  2602  0.868
    : 444696369.0  2606  0.873
    : 444696372.0  2572  0.957
    : 444696373.0  2250  0.912
    : 444696374.0  2324  0.911
    : 444696375.0  2159  0.901
    : 444696381.0  2321  0.875
    : 444696382.0  2659  0.876
    : 444696384.0  2291  0.863
    : 444696386.0  2617  0.880
    : 444696387.0  2343  0.933
    : 444696388.0  2300  0.918
    : 444696389.0  2411  0.938
    : 444696392.0  2630  0.906
    : 444696393.0  3212  0.956
    : 444696394.0  2365  0.940
    : 444696396.0  3436  0.962
    : 444696397.0  2468  0.926
    : 444696398.0  2580  0.978
    : 444696399.0  2397  0.955
    : 444696400.0  2120  0.959
    : 444696401.0  2206  0.990
    : 444696402.0  2097  0.989
    : 444696403.0  2250  1.000
    : 444696404.0  2134  0.994
    : 444696405.0  2421  0.980
    : 444696406.0  2464  0.936
    : 444696407.0  2331  0.987
    Total number of 1 second bins: 4315
    Bins with >0 counts          : 3512
    Bins with >2000 counts       : 40
    40 of 40 high count rate bins were dominated by noise
    Noise dominated 0.93% of total time, 1.14% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 2
    : Time   totcounts   fraction
    : 444692749.0  2172  0.857
    : 444692947.0  2137  0.837
    : 444692952.0  2457  0.891
    : 444696346.0  4140  0.964
    Total number of 1 second bins: 4316
    Bins with >0 counts          : 3513
    Bins with >2000 counts       : 4
    4 of 4 high count rate bins were dominated by noise
    Noise dominated 0.09% of total time, 0.11% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    : 444692304.0  4030  0.967
    : 444692305.0  2668  1.000
    : 444692306.0  2803  0.985
    : 444692308.0  3451  0.991
    : 444692309.0  2147  1.000
    : 444692310.0  2560  0.980
    : 444692311.0  2586  0.947
    : 444692312.0  2288  0.983
    : 444692313.0  2393  0.992
    : 444692314.0  2662  1.000
    : 444692315.0  2422  0.997
    : 444692316.0  2310  1.000
    : 444692317.0  2429  0.988
    : 444692318.0  2359  0.972
    : 444692319.0  2534  0.983
    : 444692320.0  2541  0.976
    : 444692321.0  2029  0.990
    : 444692322.0  2767  0.974
    : 444692323.0  2211  0.994
    : 444692324.0  2733  0.989
    : 444692325.0  2917  0.995
    : 444692326.0  2865  0.982
    : 444692327.0  2751  0.988
    : 444692328.0  2523  0.978
    : 444692329.0  2862  1.000
    : 444692330.0  2719  1.000
    : 444692331.0  2846  0.966
    : 444692332.0  2896  0.962
    : 444692333.0  2861  0.957
    : 444692334.0  2483  0.952
    : 444692335.0  2848  0.978
    : 444692336.0  2716  0.947
    : 444692337.0  2726  0.969
    : 444692338.0  2862  0.974
    : 444692339.0  2978  0.985
    : 444692340.0  2661  0.969
    : 444692341.0  2740  0.968
    : 444692342.0  2675  0.942
    : 444692367.0  2596  0.906
    : 444692368.0  2349  0.882
    : 444692369.0  2799  0.919
    : 444692370.0  3205  0.992
    : 444692371.0  2274  1.000
    : 444692378.0  2090  0.882
    : 444692379.0  2068  0.864
    : 444692380.0  3109  0.931
    : 444692392.0  3489  0.936
    : 444692393.0  2290  0.932
    : 444692394.0  2634  0.967
    : 444692395.0  2347  0.979
    : 444692396.0  2563  1.000
    : 444692397.0  2804  0.976
    : 444692398.0  2556  0.983
    : 444692399.0  2764  0.973
    : 444692400.0  2836  0.986
    : 444692401.0  2796  0.985
    : 444692402.0  2809  0.997
    : 444692403.0  2583  0.948
    : 444692404.0  2493  0.994
    : 444692405.0  2402  0.953
    : 444692406.0  2255  1.000
    : 444692407.0  2140  1.000
    : 444692408.0  2042  1.000
    : 444692409.0  2264  1.000
    : 444692414.0  2649  0.991
    : 444692415.0  2749  0.995
    : 444692416.0  2710  0.989
    : 444692417.0  2728  0.974
    : 444692418.0  2735  0.989
    : 444692419.0  2689  0.974
    : 444692420.0  2628  0.966
    : 444692421.0  2799  0.971
    : 444692422.0  2781  0.971
    : 444692423.0  2588  0.957
    : 444692424.0  2368  0.937
    : 444692426.0  3143  0.963
    : 444692427.0  2174  0.926
    : 444692428.0  2777  0.944
    : 444692430.0  2513  0.881
    : 444692431.0  3094  0.919
    : 444692433.0  2716  0.912
    : 444692434.0  2480  0.850
    : 444692435.0  2011  0.862
    : 444692436.0  2644  0.920
    : 444692446.0  3793  0.921
    : 444692447.0  2695  0.936
    : 444692448.0  3188  0.967
    : 444692449.0  2764  0.973
    : 444692450.0  2761  0.972
    : 444692451.0  2733  0.969
    : 444692452.0  2886  0.971
    : 444692453.0  2804  0.971
    : 444692455.0  3338  0.965
    : 444692457.0  2052  0.866
    : 444692458.0  3307  0.925
    : 444692465.0  3680  0.944
    : 444692466.0  2797  0.958
    : 444692467.0  2667  0.969
    : 444692468.0  2750  0.962
    : 444692469.0  2775  0.955
    : 444692470.0  2718  0.955
    : 444692471.0  2534  0.948
    : 444692472.0  2740  0.963
    : 444692473.0  2111  0.942
    : 444692477.0  3767  0.972
    : 444692478.0  2422  0.957
    : 444692479.0  2729  0.956
    : 444692480.0  2633  0.957
    : 444692481.0  2822  0.954
    : 444692482.0  2771  0.953
    : 444692483.0  2602  0.957
    : 444692484.0  2775  0.959
    : 444692485.0  2748  0.948
    : 444692486.0  2693  0.955
    : 444692491.0  3218  0.931
    : 444692493.0  2821  0.988
    : 444692494.0  2801  0.960
    : 444692495.0  2552  0.946
    : 444692496.0  2301  0.945
    : 444692497.0  2790  0.955
    : 444692498.0  2722  0.959
    : 444692499.0  2633  0.939
    : 444692500.0  2462  0.938
    : 444692501.0  2642  0.940
    : 444692503.0  3359  0.931
    : 444692507.0  2158  0.868
    : 444692515.0  2001  0.852
    : 444692517.0  2242  0.898
    : 444692518.0  2193  0.858
    : 444692519.0  3650  0.929
    : 444692520.0  2799  0.967
    : 444692522.0  2055  0.878
    : 444692523.0  2270  0.892
    : 444692525.0  3587  0.943
    : 444692526.0  2774  0.955
    : 444692527.0  2060  0.935
    : 444692528.0  3381  0.962
    : 444692529.0  2371  0.937
    : 444692530.0  2911  0.946
    : 444692531.0  2231  0.941
    : 444692532.0  2842  0.917
    : 444692541.0  3037  0.910
    : 444692792.0  2234  0.865
    : 444692794.0  2281  0.884
    : 444693482.0  4638  0.975
    : 444693484.0  3386  0.926
    : 444693488.0  3187  0.930
    : 444693490.0  2746  0.959
    : 444693518.0  2159  0.833
    : 444693578.0  2836  0.906
    : 444693579.0  2666  0.986
    : 444693750.0  3463  0.910
    : 444693752.0  3124  0.898
    : 444693787.0  2603  0.900
    : 444693809.0  2158  0.832
    : 444693833.0  3246  0.959
    : 444693836.0  3120  0.884
    : 444693843.0  2120  0.830
    : 444693844.0  2051  0.836
    : 444693845.0  2201  0.850
    : 444693847.0  2010  0.832
    : 444693848.0  2353  0.854
    : 444693852.0  3679  0.914
    : 444693855.0  3440  0.907
    : 444693856.0  2105  0.896
    : 444693871.0  2036  0.829
    : 444693875.0  2731  0.876
    : 444693876.0  2173  0.887
    : 444693877.0  2303  0.857
    : 444693880.0  3110  0.891
    : 444693881.0  2484  0.903
    : 444693887.0  3935  0.935
    : 444693888.0  2674  0.971
    : 444693889.0  2677  0.963
    : 444693890.0  2427  0.935
    : 444693909.0  2141  0.814
    : 444693910.0  2787  0.912
    : 444693911.0  2657  0.946
    : 444693912.0  2664  0.929
    : 444693913.0  2860  0.951
    : 444693914.0  2616  0.940
    : 444693925.0  2586  0.883
    : 444693944.0  2094  0.845
    : 444693958.0  3597  0.916
    : 444693959.0  2508  0.881
    : 444693992.0  2331  0.858
    : 444693993.0  2524  0.884
    : 444694188.0  2540  0.833
    : 444694195.0  2122  0.832
    : 444694279.0  3117  0.907
    : 444694300.0  2992  0.934
    : 444694305.0  2510  0.851
    : 444694319.0  2312  0.858
    : 444694344.0  3934  0.915
    : 444694346.0  2201  0.852
    : 444694347.0  2812  0.906
    : 444694510.0  2413  0.842
    : 444694511.0  2043  0.882
    : 444694512.0  2736  0.897
    : 444694514.0  2918  0.895
    : 444694515.0  2010  0.890
    : 444694516.0  2448  0.906
    : 444694552.0  2064  0.828
    : 444694595.0  2783  0.862
    : 444694596.0  2173  0.902
    : 444694597.0  2171  0.874
    : 444694598.0  2701  0.912
    : 444694605.0  3307  0.878
    : 444694620.0  2032  0.795
    : 444694624.0  2620  0.848
    : 444694635.0  3006  0.879
    : 444694693.0  2043  0.819
    : 444694752.0  2887  0.853
    : 444694753.0  2347  0.902
    : 444694796.0  2198  0.803
    : 444694800.0  4422  0.932
    : 444694801.0  2245  0.894
    : 444694803.0  2489  0.878
    : 444694810.0  2206  0.847
    : 444694811.0  2273  0.835
    : 444694812.0  2372  0.855
    : 444694813.0  2202  0.856
    : 444694815.0  2434  0.858
    : 444694817.0  2006  0.800
    : 444694818.0  2207  0.818
    : 444694819.0  2094  0.814
    : 444694820.0  2415  0.851
    : 444694821.0  2185  0.869
    : 444694822.0  2409  0.862
    : 444694823.0  2322  0.886
    : 444694824.0  2287  0.882
    : 444694834.0  2862  0.872
    : 444694864.0  2111  0.825
    : 444694919.0  3782  0.965
    : 444694920.0  2321  0.991
    : 444694921.0  2086  1.000
    : 444694922.0  2162  0.994
    : 444694923.0  2134  1.000
    : 444694924.0  2338  0.999
    : 444694925.0  2274  0.978
    : 444694926.0  2170  0.970
    : 444694927.0  2279  0.998
    : 444694928.0  2436  0.946
    : 444694929.0  2458  0.990
    : 444694931.0  3328  0.896
    : 444694933.0  2565  0.876
    : 444694934.0  2195  0.893
    : 444694935.0  2426  0.867
    : 444694936.0  2310  0.893
    : 444694996.0  2377  0.860
    : 444694997.0  2456  0.859
    : 444694999.0  2314  0.839
    : 444695000.0  2528  0.893
    : 444695002.0  2523  0.852
    : 444695005.0  2734  0.863
    : 444695006.0  2533  0.917
    : 444695007.0  2242  0.875
    : 444695008.0  2268  0.903
    : 444695009.0  2485  0.878
    : 444695010.0  2177  0.851
    : 444695011.0  2216  0.864
    : 444695012.0  2384  0.918
    : 444695013.0  2314  0.905
    : 444695015.0  2569  0.853
    : 444695016.0  2912  0.899
    : 444695017.0  2467  0.908
    : 444695018.0  2206  0.906
    : 444695108.0  2059  0.793
    : 444695109.0  2075  0.795
    : 444695144.0  2297  0.857
    : 444696003.0  2321  0.802
    : 444696004.0  2875  0.938
    : 444696005.0  2515  0.939
    : 444696007.0  3417  0.924
    : 444696008.0  2441  1.000
    : 444696010.0  3847  0.974
    : 444696011.0  2143  0.916
    : 444696013.0  2348  0.872
    : 444696015.0  3243  0.927
    : 444696016.0  2271  0.987
    : 444696021.0  2762  0.921
    : 444696022.0  2045  0.906
    : 444696024.0  2165  0.956
    : 444696025.0  2289  0.998
    : 444696026.0  2440  0.975
    : 444696027.0  2281  0.995
    : 444696029.0  2136  0.955
    : 444696030.0  2131  0.988
    : 444696174.0  2297  0.843
    : 444696175.0  2197  0.919
    : 444696176.0  3151  0.925
    : 444696238.0  3460  0.912
    : 444696266.0  4729  0.960
    : 444696288.0  2341  0.861
    : 444696289.0  3010  0.947
    : 444696302.0  2331  0.855
    : 444696303.0  2646  0.926
    : 444696304.0  2355  0.921
    : 444696305.0  2119  0.926
    : 444696306.0  2808  0.917
    : 444696307.0  2421  0.927
    : 444696308.0  2667  0.966
    : 444696309.0  2643  0.966
    : 444696311.0  2723  0.883
    : 444696498.0  2512  0.871
    Total number of 1 second bins: 4316
    Bins with >0 counts          : 3513
    Bins with >2000 counts       : 305
    305 of 305 high count rate bins were dominated by noise
    Noise dominated 7.07% of total time, 8.68% of detector on time (defined as non-zero counts)