Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 433475495.0  2019  0.872
    : 433475496.0  2371  0.871
    : 433477832.0  2122  0.839
    : 433477859.0  2430  0.844
    : 433478079.0  2977  0.886
    : 433478080.0  2263  0.857
    : 433478233.0  2378  0.860
    : 433478234.0  2945  0.902
    : 433478419.0  3263  0.955
    : 433478420.0  2819  1.000
    : 433478421.0  2807  0.986
    : 433478422.0  2807  0.986
    : 433478423.0  2983  0.993
    : 433478424.0  2886  0.982
    : 433478425.0  2864  0.984
    : 433478426.0  2748  0.986
    : 433478427.0  2621  0.981
    : 433478428.0  2814  0.979
    : 433478429.0  2547  0.976
    : 433478430.0  2734  1.000
    : 433478431.0  2864  0.995
    : 433478432.0  2884  1.000
    : 433478433.0  2820  0.997
    : 433478434.0  2909  0.999
    : 433478435.0  2829  0.999
    : 433478436.0  2707  0.990
    : 433478437.0  2635  0.990
    : 433478442.0  2503  0.911
    : 433478443.0  2869  0.980
    : 433478444.0  2899  0.991
    : 433478649.0  2695  0.908
    : 433478650.0  2702  0.942
    : 433478651.0  2333  0.888
    : 433478652.0  2532  0.895
    : 433478653.0  2754  0.982
    : 433478655.0  4288  0.970
    : 433478656.0  2784  0.983
    : 433478657.0  2613  0.941
    : 433478658.0  2848  0.982
    : 433481766.0  2015  0.872
    : 433481767.0  2438  0.866
    : 433481787.0  2020  0.795
    : 433481789.0  2038  0.827
    : 433481840.0  2326  0.844
    : 433481846.0  2156  0.824
    : 433481849.0  2236  0.842
    : 433482111.0  2318  0.855
    Total number of 1 second bins: 7074
    Bins with >0 counts          : 5101
    Bins with >2000 counts       : 47
    47 of 47 high count rate bins were dominated by noise
    Noise dominated 0.66% of total time, 0.92% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 433481993.0  2019  0.835
    Total number of 1 second bins: 7074
    Bins with >0 counts          : 5101
    Bins with >2000 counts       : 1
    1 of 1 high count rate bins were dominated by noise
    Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 2
    : Time   totcounts   fraction
    : 433476142.0  2067  0.858
    : 433476468.0  2513  0.861
    : 433476737.0  2665  0.874
    : 433478486.0  2279  0.856
    : 433482320.0  3561  0.960
    Total number of 1 second bins: 7074
    Bins with >0 counts          : 5101
    Bins with >2000 counts       : 5
    5 of 5 high count rate bins were dominated by noise
    Noise dominated 0.07% of total time, 0.10% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    : 433475573.0  2327  0.849
    : 433475654.0  2177  0.858
    : 433475840.0  3273  0.921
    : 433475841.0  2216  0.907
    : 433475845.0  3132  0.932
    : 433475856.0  2018  0.837
    : 433475914.0  3037  0.882
    : 433475915.0  3305  0.986
    : 433475957.0  2654  0.909
    : 433476015.0  2533  0.854
    : 433476016.0  2880  0.971
    : 433476018.0  2733  0.930
    : 433476215.0  2372  0.885
    : 433476330.0  2436  0.881
    : 433476335.0  2325  0.851
    : 433476352.0  2985  0.918
    : 433476353.0  2666  0.970
    : 433476354.0  2797  0.992
    : 433476356.0  2650  0.889
    : 433476357.0  2837  0.921
    : 433476358.0  2745  0.930
    : 433476359.0  2098  0.890
    : 433476360.0  2354  0.878
    : 433476381.0  3730  0.941
    : 433476382.0  2767  0.937
    : 433476383.0  2487  0.916
    : 433476384.0  2569  0.941
    : 433476399.0  2998  0.928
    : 433476405.0  2763  0.930
    : 433476406.0  2299  0.887
    : 433476420.0  2538  0.886
    : 433476421.0  2965  0.920
    : 433476422.0  2716  0.972
    : 433476424.0  2911  0.903
    : 433476427.0  3468  0.956
    : 433476429.0  2059  0.842
    : 433476430.0  3675  0.955
    : 433476431.0  2824  0.983
    : 433476432.0  2681  0.962
    : 433476433.0  2844  0.991
    : 433476434.0  2605  0.931
    : 433476436.0  3095  0.921
    : 433476488.0  2289  0.912
    : 433476489.0  3562  0.944
    : 433476490.0  2622  0.973
    : 433476491.0  2660  0.950
    : 433476492.0  2870  0.980
    : 433476493.0  2731  0.955
    : 433476494.0  2799  0.995
    : 433476495.0  2818  0.984
    : 433476496.0  2545  0.945
    : 433476497.0  2653  0.937
    : 433476498.0  2748  0.969
    : 433476550.0  2737  0.910
    : 433476576.0  2540  0.882
    : 433476786.0  2802  0.910
    : 433476789.0  2004  0.857
    : 433476790.0  3506  0.919
    : 433476795.0  2698  0.901
    : 433476796.0  2902  0.910
    : 433476917.0  2963  0.903
    : 433476919.0  2585  0.895
    : 433476925.0  2449  0.873
    : 433476926.0  3187  0.927
    : 433476944.0  2024  0.834
    : 433476946.0  2817  0.889
    : 433476947.0  2885  0.969
    : 433476970.0  3351  0.952
    : 433476976.0  2873  0.881
    : 433476987.0  2948  0.874
    : 433476988.0  2726  0.934
    : 433477012.0  2779  0.902
    : 433477014.0  2935  0.945
    : 433477015.0  2705  0.925
    : 433477256.0  2503  0.900
    : 433477285.0  2718  0.895
    : 433477286.0  2065  0.882
    : 433477287.0  3276  0.960
    : 433477289.0  3878  0.977
    : 433477290.0  2789  0.957
    : 433477291.0  2690  0.976
    : 433477292.0  2303  0.944
    : 433477294.0  2950  0.875
    : 433477295.0  2898  0.994
    : 433477296.0  2670  0.964
    : 433477297.0  2654  0.953
    : 433477307.0  2639  0.879
    : 433477310.0  2881  0.923
    : 433477311.0  2728  0.945
    : 433477312.0  2171  0.869
    : 433477313.0  2522  0.931
    : 433477314.0  2789  0.958
    : 433477315.0  2866  0.964
    : 433477316.0  2624  0.939
    : 433477317.0  2573  0.904
    : 433477318.0  2519  0.931
    : 433477319.0  2568  0.921
    : 433477320.0  2596  0.913
    : 433477321.0  2577  0.923
    : 433477324.0  3589  0.961
    : 433477325.0  2792  0.971
    : 433477326.0  2913  0.981
    : 433477340.0  2727  0.905
    : 433477341.0  2871  0.892
    : 433477342.0  2187  0.895
    : 433477343.0  2967  0.985
    : 433477344.0  2676  0.953
    : 433477348.0  3001  0.914
    : 433477349.0  2620  0.918
    : 433477350.0  2755  1.000
    : 433477360.0  2956  0.931
    : 433477361.0  2080  0.887
    : 433477365.0  2925  0.961
    : 433477366.0  2557  0.939
    : 433477367.0  2217  0.904
    : 433477414.0  2033  0.867
    : 433477433.0  3679  0.942
    : 433477434.0  2634  0.948
    : 433477435.0  2792  0.973
    : 433477437.0  2803  0.942
    : 433477439.0  2502  0.905
    : 433477604.0  2567  0.905
    : 433477605.0  2323  0.964
    : 433477606.0  2746  0.937
    : 433477607.0  2782  0.982
    : 433477608.0  2830  0.976
    : 433477609.0  2698  0.951
    : 433477610.0  2622  0.952
    : 433477611.0  2760  0.972
    : 433477612.0  2414  0.906
    : 433477613.0  2437  0.954
    : 433477614.0  2817  0.947
    : 433477615.0  2656  0.959
    : 433477616.0  2802  0.974
    : 433477617.0  2829  0.981
    : 433477618.0  2794  0.984
    : 433477619.0  2774  0.973
    : 433477620.0  2791  0.975
    : 433477622.0  3625  0.945
    : 433477623.0  2800  0.953
    : 433477624.0  2442  0.923
    : 433477625.0  2845  0.993
    : 433477626.0  2853  0.996
    : 433477627.0  2943  0.993
    : 433477628.0  2602  0.945
    : 433477825.0  2285  0.971
    : 433478005.0  2523  0.925
    : 433478006.0  2740  0.991
    : 433478007.0  2656  0.964
    : 433478008.0  2530  0.960
    : 433478009.0  2616  0.963
    : 433478013.0  2053  0.824
    : 433478018.0  2701  0.900
    : 433478027.0  2508  0.886
    : 433478043.0  2302  0.856
    : 433478047.0  2442  0.862
    : 433478061.0  3096  0.943
    : 433478065.0  3036  0.926
    : 433478066.0  2509  1.000
    : 433478067.0  2707  0.983
    : 433478068.0  2366  0.998
    : 433478069.0  2516  0.998
    : 433478070.0  2484  1.000
    : 433478071.0  2415  0.947
    : 433478072.0  2533  0.994
    : 433478073.0  2551  0.965
    : 433478074.0  2576  0.951
    : 433478075.0  2457  0.970
    : 433478076.0  2087  0.873
    : 433478077.0  2447  0.963
    : 433478078.0  2313  0.941
    : 433478079.0  2644  0.961
    : 433478082.0  3755  0.950
    : 433478083.0  2268  0.904
    : 433478084.0  2622  0.984
    : 433478085.0  2539  0.957
    : 433478086.0  2739  0.983
    : 433478087.0  2510  0.967
    : 433478088.0  2669  0.991
    : 433478089.0  2305  0.974
    : 433478090.0  2693  0.973
    : 433478091.0  2621  0.953
    : 433478191.0  2721  0.879
    : 433478195.0  2580  0.877
    : 433478203.0  2689  0.880
    : 433478204.0  2492  0.916
    : 433478206.0  2428  0.903
    : 433478208.0  2208  0.855
    : 433478213.0  2914  0.909
    : 433478214.0  2853  0.992
    : 433478215.0  2684  0.935
    : 433478216.0  2683  0.982
    : 433478217.0  2806  0.983
    : 433478218.0  2745  0.981
    : 433478219.0  2685  0.978
    : 433478220.0  2772  0.969
    : 433478221.0  2261  0.935
    : 433478222.0  2419  0.917
    : 433478223.0  2572  0.938
    : 433478224.0  2623  0.954
    : 433478225.0  2625  0.913
    : 433478226.0  2488  0.928
    : 433478227.0  2664  0.965
    : 433478228.0  2378  0.966
    : 433478229.0  2688  0.970
    : 433478230.0  2774  0.997
    : 433478231.0  2369  0.915
    : 433478232.0  2727  0.964
    : 433478233.0  2757  0.963
    : 433478234.0  2816  0.971
    : 433478235.0  2621  0.976
    : 433478236.0  2495  0.981
    : 433478237.0  2637  0.973
    : 433478238.0  2346  0.946
    : 433478239.0  2754  0.987
    : 433478240.0  2523  0.984
    : 433478241.0  2843  0.980
    : 433478242.0  2596  0.988
    : 433478243.0  2116  0.966
    : 433478244.0  2709  0.962
    : 433478245.0  2653  0.970
    : 433478246.0  2696  0.978
    : 433478247.0  2506  1.000
    : 433478248.0  2693  0.983
    : 433478249.0  2558  0.997
    : 433478250.0  2517  0.983
    : 433478251.0  2713  0.968
    : 433478252.0  2450  0.967
    : 433478253.0  2632  0.976
    : 433478254.0  2567  0.982
    : 433478255.0  2681  1.000
    : 433478256.0  2380  0.968
    : 433478257.0  2624  1.000
    : 433478258.0  2686  0.966
    : 433478259.0  2680  0.990
    : 433478260.0  2442  0.966
    : 433478261.0  2312  0.917
    : 433478262.0  2777  0.996
    : 433478263.0  2879  0.999
    : 433478264.0  2731  0.991
    : 433478265.0  2692  0.997
    : 433478266.0  2785  0.995
    : 433478267.0  2723  0.990
    : 433478268.0  2523  0.996
    : 433478269.0  2584  0.962
    : 433478270.0  2807  0.989
    : 433478271.0  2674  0.999
    : 433478272.0  2764  0.957
    : 433478273.0  2581  0.939
    : 433478274.0  2503  0.960
    : 433478275.0  2555  0.951
    : 433478281.0  2564  0.911
    : 433478283.0  3021  0.902
    : 433478284.0  2451  0.961
    : 433478285.0  2576  0.947
    : 433478287.0  3339  0.954
    : 433478288.0  2422  0.967
    : 433478289.0  2378  0.963
    : 433478290.0  2306  0.886
    : 433478292.0  3457  0.967
    : 433478293.0  2434  0.929
    : 433478294.0  2512  0.944
    : 433478295.0  2753  0.973
    : 433478296.0  2248  0.897
    : 433478314.0  2712  0.896
    : 433478315.0  2049  0.868
    : 433478318.0  2458  0.927
    : 433478319.0  2694  0.985
    : 433478320.0  2658  0.971
    : 433478321.0  2517  0.973
    : 433478322.0  2523  0.963
    : 433478330.0  2113  0.839
    : 433478334.0  2662  0.901
    : 433478335.0  2174  0.945
    : 433478336.0  2402  1.000
    : 433478337.0  2625  0.979
    : 433478338.0  2166  0.975
    : 433478345.0  2645  0.913
    : 433478346.0  2602  0.996
    : 433478347.0  2332  0.976
    : 433478348.0  2632  0.952
    : 433478349.0  2527  0.939
    : 433478350.0  2386  0.953
    : 433478351.0  2474  0.994
    : 433478352.0  2511  0.963
    : 433478353.0  2440  1.000
    : 433478354.0  2448  1.000
    : 433478355.0  2484  0.994
    : 433478356.0  2527  0.994
    : 433478357.0  2737  0.966
    : 433478412.0  2558  0.860
    : 433478413.0  2661  1.000
    : 433478453.0  2051  0.880
    : 433478454.0  2605  0.960
    : 433478460.0  2458  0.857
    : 433478483.0  2587  0.901
    : 433478484.0  2425  0.918
    : 433478485.0  2538  1.000
    : 433478487.0  2636  0.961
    : 433478488.0  2278  1.000
    : 433478495.0  3526  0.954
    : 433478496.0  2426  0.945
    : 433478497.0  2623  0.978
    : 433478498.0  2566  0.966
    : 433478506.0  2480  0.906
    : 433478507.0  2393  0.994
    : 433478508.0  2442  0.988
    : 433478519.0  2929  0.916
    : 433478524.0  3348  0.978
    : 433478525.0  2245  1.000
    : 433478545.0  2512  0.883
    : 433478563.0  2711  0.919
    : 433478564.0  2454  0.929
    : 433478565.0  2578  0.906
    : 433478566.0  2566  1.000
    : 433478567.0  2542  1.000
    : 433478574.0  2196  0.884
    : 433478575.0  2873  0.981
    : 433478576.0  2683  0.990
    : 433478631.0  2415  0.881
    : 433478632.0  2601  0.941
    : 433478633.0  2188  0.893
    : 433478634.0  2473  0.907
    : 433478663.0  3085  0.891
    : 433478665.0  2592  0.882
    : 433478666.0  2513  0.943
    : 433478667.0  2390  0.955
    : 433478668.0  2672  0.968
    : 433478669.0  2083  0.892
    : 433478676.0  2646  0.879
    : 433478677.0  2722  0.967
    : 433478678.0  2592  0.919
    : 433478679.0  2383  0.920
    : 433478685.0  3579  0.905
    : 433478725.0  3226  0.916
    : 433478891.0  2524  0.869
    : 433478893.0  3217  0.956
    : 433478902.0  2704  0.913
    : 433478903.0  2403  0.903
    : 433478904.0  2249  0.907
    : 433478905.0  2097  0.939
    : 433478906.0  2341  0.882
    : 433478929.0  2891  0.923
    : 433479007.0  2005  0.803
    : 433479008.0  2928  0.941
    : 433479009.0  2802  0.995
    : 433479010.0  2225  0.945
    : 433479011.0  2252  0.927
    : 433479012.0  2555  0.960
    : 433479013.0  2637  0.993
    : 433479014.0  2370  0.974
    : 433479015.0  2624  0.968
    : 433479018.0  3216  0.899
    : 433479019.0  2238  0.952
    : 433479020.0  2698  0.988
    : 433479021.0  2148  0.897
    : 433479022.0  2155  0.912
    : 433479023.0  2358  0.914
    : 433479024.0  2316  0.977
    : 433479025.0  2439  0.962
    : 433479026.0  2355  0.972
    : 433479027.0  2185  0.915
    : 433479028.0  2391  0.919
    : 433479029.0  2439  0.911
    : 433479031.0  2300  0.976
    : 433479033.0  2487  0.847
    : 433479034.0  2650  0.932
    : 433479035.0  2124  0.947
    : 433479036.0  2521  0.966
    : 433479038.0  2704  0.888
    : 433479039.0  2273  0.939
    : 433479040.0  2289  0.905
    : 433479049.0  3075  0.865
    : 433479086.0  2808  0.934
    : 433479087.0  2481  0.952
    : 433479088.0  2413  0.974
    : 433479089.0  2502  0.994
    : 433479090.0  2297  0.968
    : 433479091.0  2279  0.954
    : 433479092.0  2278  0.949
    : 433479093.0  2535  0.943
    : 433479094.0  2056  0.867
    : 433479106.0  2725  0.935
    : 433479107.0  2412  0.970
    : 433479108.0  2288  1.000
    : 433479109.0  2579  0.985
    : 433479110.0  2482  1.000
    : 433479147.0  3090  0.932
    : 433479148.0  2404  0.982
    : 433479149.0  2255  0.997
    : 433479150.0  2224  0.949
    : 433479151.0  2478  0.987
    : 433479152.0  2333  1.000
    : 433479153.0  2098  0.984
    : 433479154.0  2353  0.988
    : 433479157.0  2348  0.853
    : 433479162.0  2572  0.949
    : 433479163.0  2495  0.987
    : 433479164.0  2146  0.870
    : 433479165.0  2274  0.881
    : 433479188.0  2176  0.853
    : 433479193.0  2824  0.894
    : 433479194.0  2181  0.903
    : 433479195.0  2444  0.974
    : 433479196.0  2367  0.998
    : 433479197.0  2528  0.963
    : 433479198.0  2471  0.988
    : 433479199.0  2591  0.951
    : 433479202.0  3832  0.989
    : 433479203.0  2287  0.997
    : 433479204.0  2226  1.000
    : 433479206.0  2512  1.000
    : 433479207.0  2419  0.984
    : 433479216.0  2495  0.840
    : 433479219.0  3121  0.894
    : 433479221.0  2985  1.000
    : 433479222.0  2313  0.933
    : 433479223.0  2262  0.877
    : 433479224.0  2102  0.896
    : 433479228.0  2452  0.881
    : 433479231.0  2552  0.977
    : 433479247.0  2095  0.852
    : 433479248.0  2520  0.871
    : 433479249.0  2377  0.899
    : 433479250.0  2464  0.989
    : 433479251.0  2691  0.968
    : 433479252.0  2513  0.937
    : 433479273.0  2388  0.866
    : 433479274.0  2327  0.992
    : 433479282.0  2269  0.864
    : 433479283.0  2954  0.906
    : 433479285.0  2706  0.869
    : 433479286.0  2026  0.872
    : 433479288.0  2418  0.913
    : 433479293.0  2657  0.928
    : 433479294.0  2328  0.986
    : 433479328.0  2323  0.839
    : 433479329.0  2130  0.843
    : 433479361.0  2731  0.892
    : 433479364.0  2082  1.000
    : 433479368.0  3014  0.907
    : 433479369.0  2444  0.901
    : 433479370.0  2270  0.898
    : 433479371.0  2469  0.901
    : 433479372.0  2378  0.926
    : 433479376.0  2336  0.860
    : 433479377.0  2178  0.948
    : 433479378.0  2490  0.898
    : 433479380.0  2737  0.881
    : 433479397.0  2634  0.870
    : 433479398.0  2539  0.985
    : 433479399.0  2421  0.950
    : 433479400.0  2632  0.994
    : 433479435.0  2362  0.856
    : 433479438.0  2617  0.860
    : 433479639.0  2790  0.905
    : 433479641.0  2440  0.866
    : 433479642.0  2610  0.941
    : 433479643.0  2730  0.964
    : 433479644.0  2364  0.927
    : 433479646.0  2333  0.839
    : 433479649.0  2501  0.891
    : 433479689.0  2033  0.826
    : 433479690.0  2099  0.846
    : 433479691.0  2925  0.959
    : 433479692.0  2500  0.928
    : 433479693.0  2364  0.975
    : 433479694.0  2244  0.885
    : 433479695.0  2477  0.969
    : 433479697.0  2974  0.936
    : 433479698.0  2479  0.933
    : 433479744.0  2062  0.836
    : 433481792.0  2637  0.996
    : 433481793.0  2549  0.977
    : 433481794.0  2731  0.999
    : 433481795.0  2626  1.000
    : 433481796.0  2680  1.000
    : 433481797.0  2810  0.990
    : 433481798.0  2636  0.994
    : 433481799.0  2710  0.990
    : 433481800.0  2376  0.940
    : 433481803.0  2774  0.960
    : 433481804.0  2530  0.992
    : 433481805.0  2349  0.991
    : 433481806.0  2625  0.978
    : 433481807.0  2800  0.996
    : 433481808.0  2838  1.000
    : 433481809.0  2603  0.921
    : 433481810.0  2748  0.985
    : 433481811.0  2717  0.990
    : 433481812.0  2502  0.988
    : 433481813.0  2593  0.988
    : 433481814.0  2603  0.975
    : 433481815.0  2631  0.989
    : 433481816.0  2425  0.950
    : 433481817.0  2656  0.999
    : 433481818.0  2717  0.995
    : 433481819.0  2626  0.983
    : 433481821.0  3484  0.984
    : 433481822.0  2733  0.995
    : 433481823.0  2728  0.991
    : 433481824.0  2755  0.983
    : 433481825.0  2781  0.989
    : 433481826.0  2620  0.953
    : 433481827.0  2752  0.995
    : 433481828.0  2657  0.991
    : 433481829.0  2712  0.994
    : 433481830.0  2675  0.994
    : 433481831.0  2768  0.992
    : 433481832.0  2728  0.988
    : 433481833.0  2718  0.994
    : 433481834.0  2769  0.990
    : 433481835.0  2734  0.982
    : 433481836.0  2867  0.990
    : 433481837.0  2329  0.927
    : 433481838.0  2666  0.961
    : 433481839.0  2505  0.981
    : 433481840.0  2694  0.967
    : 433481841.0  2732  0.966
    : 433481842.0  2635  0.983
    : 433481843.0  2828  0.994
    : 433481844.0  2853  0.984
    : 433481855.0  2552  0.884
    : 433481856.0  2725  0.992
    : 433481857.0  2605  0.980
    : 433481858.0  2634  0.987
    : 433481859.0  2781  0.981
    : 433481860.0  2775  0.955
    : 433481861.0  2845  0.996
    : 433481862.0  2791  0.982
    : 433481863.0  2761  0.979
    : 433481864.0  2803  0.979
    : 433481865.0  2774  0.955
    : 433481866.0  2618  0.926
    : 433481867.0  2242  0.897
    : 433481869.0  3067  0.927
    : 433481871.0  2917  0.989
    : 433481872.0  2417  0.992
    : 433481873.0  2566  0.991
    : 433481874.0  2833  0.982
    : 433481875.0  2679  0.983
    : 433481876.0  2495  0.963
    : 433481877.0  2654  0.997
    : 433481878.0  2809  1.000
    : 433481879.0  2666  0.995
    : 433481880.0  2552  0.982
    : 433481881.0  2520  0.970
    : 433481882.0  2498  0.937
    : 433481896.0  2723  0.954
    : 433481897.0  2435  0.984
    : 433481898.0  2599  0.938
    : 433481899.0  2730  0.989
    : 433481904.0  2587  0.928
    : 433481944.0  2706  0.917
    : 433481945.0  2738  0.973
    : 433481946.0  2652  0.973
    : 433481947.0  2606  1.000
    : 433481948.0  2590  1.000
    : 433481949.0  2496  1.000
    : 433481950.0  2653  0.980
    : 433481951.0  2601  1.000
    : 433481952.0  2677  1.000
    : 433481953.0  2545  0.969
    : 433481954.0  2624  1.000
    : 433481955.0  2250  0.994
    : 433481956.0  2754  0.993
    : 433481957.0  2900  0.989
    : 433481958.0  2810  0.991
    : 433481959.0  2727  0.997
    : 433481960.0  2853  0.995
    : 433481961.0  2889  0.996
    : 433481962.0  2829  0.995
    : 433481963.0  2804  0.995
    : 433482069.0  3667  0.944
    : 433482070.0  2583  0.956
    : 433482071.0  2761  0.992
    : 433482072.0  2855  0.984
    : 433482073.0  2786  0.993
    : 433482074.0  2204  0.945
    : 433482075.0  2789  0.978
    : 433482076.0  2555  0.973
    : 433482077.0  2382  0.899
    : 433482078.0  2869  0.941
    : 433482079.0  2720  0.973
    : 433482080.0  2752  0.978
    : 433482081.0  2775  0.995
    : 433482082.0  2719  0.960
    : 433482083.0  2849  0.975
    : 433482084.0  2832  0.960
    : 433482085.0  2725  0.949
    : 433482086.0  2785  0.980
    : 433482087.0  2701  0.979
    : 433482088.0  2699  0.972
    : 433482089.0  2736  0.998
    : 433482090.0  2768  0.978
    : 433482091.0  2864  0.998
    : 433482092.0  2524  0.941
    : 433482098.0  4069  0.987
    : 433482108.0  2751  0.963
    : 433482109.0  2741  0.999
    : 433482110.0  2600  0.983
    : 433482111.0  2565  0.995
    : 433482112.0  2423  1.000
    : 433482113.0  2741  1.000
    : 433482114.0  2669  0.981
    : 433482153.0  2566  0.896
    : 433482213.0  3037  1.000
    : 433482262.0  2540  0.864
    : 433482263.0  2645  0.990
    : 433482286.0  2616  0.889
    : 433482287.0  2775  0.989
    : 433482295.0  2358  0.846
    : 433482296.0  2381  0.923
    : 433482302.0  3302  0.901
    : 433482304.0  2704  0.895
    : 433482306.0  2187  0.841
    : 433482331.0  2267  0.861
    : 433482332.0  2958  0.900
    : 433482333.0  2342  0.981
    : 433482418.0  2630  0.885
    : 433482419.0  2747  0.929
    : 433482420.0  2751  0.928
    : 433482492.0  2255  0.850
    : 433482518.0  2078  0.887
    Total number of 1 second bins: 7074
    Bins with >0 counts          : 5101
    Bins with >2000 counts       : 624
    624 of 624 high count rate bins were dominated by noise
    Noise dominated 8.82% of total time, 12.23% of detector on time (defined as non-zero counts)