Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 426303756.0  2325  0.858
    : 426303757.0  2597  0.858
    Total number of 1 second bins: 7181
    Bins with >0 counts          : 5150
    Bins with >2000 counts       : 2
    2 of 2 high count rate bins were dominated by noise
    Noise dominated 0.03% of total time, 0.04% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 426299583.0  2193  0.853
    : 426299584.0  2606  0.912
    : 426299585.0  2828  0.936
    : 426299586.0  2360  0.931
    : 426299589.0  2818  0.894
    : 426299590.0  2644  0.902
    : 426299592.0  2441  0.916
    : 426299593.0  2608  0.939
    : 426299594.0  2797  0.932
    : 426299595.0  2579  0.927
    : 426299596.0  2174  0.931
    : 426299597.0  2639  0.936
    : 426299598.0  2617  0.928
    : 426299599.0  2002  0.882
    : 426299600.0  2505  0.933
    : 426299601.0  2413  0.925
    : 426299602.0  2716  0.909
    : 426299603.0  2187  0.925
    : 426299724.0  2343  0.845
    : 426300656.0  2445  0.877
    : 426300666.0  2113  0.826
    : 426300680.0  2016  0.822
    : 426300696.0  2197  0.858
    : 426300697.0  2436  0.900
    : 426300698.0  2171  0.890
    : 426300795.0  2119  0.830
    : 426300871.0  2107  0.826
    : 426300872.0  2142  0.831
    : 426300876.0  2395  0.829
    : 426300877.0  2563  0.898
    : 426300878.0  2284  0.905
    : 426300879.0  2293  0.874
    : 426300880.0  2428  0.875
    : 426300882.0  2140  0.856
    : 426300883.0  2412  0.850
    : 426300884.0  2020  0.820
    : 426300885.0  2441  0.894
    : 426300886.0  2083  0.885
    : 426300887.0  2123  0.861
    : 426300888.0  2192  0.846
    : 426300889.0  2121  0.903
    : 426300890.0  2566  0.862
    : 426300893.0  2503  0.878
    : 426300895.0  2209  0.841
    : 426300896.0  2119  0.851
    : 426300897.0  2344  0.870
    : 426300898.0  2196  0.871
    : 426300902.0  2238  0.880
    : 426300903.0  2337  0.867
    : 426300917.0  2169  0.832
    : 426300943.0  3182  0.891
    : 426300944.0  2232  0.908
    : 426300945.0  2219  0.913
    : 426300946.0  2299  0.901
    : 426300947.0  2372  0.911
    : 426300948.0  2487  0.916
    : 426300949.0  2642  0.916
    : 426300950.0  2610  0.905
    : 426300951.0  2321  0.907
    : 426300952.0  2643  0.909
    : 426300953.0  2029  0.862
    : 426300954.0  2348  0.837
    : 426300955.0  2048  0.849
    : 426300956.0  2484  0.880
    : 426300957.0  2458  0.880
    : 426300958.0  2518  0.880
    : 426300960.0  2203  0.860
    : 426300961.0  2511  0.877
    : 426300962.0  2266  0.873
    : 426300963.0  2002  0.857
    : 426300965.0  2569  0.875
    : 426300966.0  2191  0.869
    : 426300967.0  2503  0.880
    : 426300968.0  2221  0.879
    : 426300969.0  2172  0.879
    : 426300970.0  2282  0.866
    : 426300971.0  2056  0.863
    : 426300973.0  2299  0.862
    : 426300974.0  2166  0.887
    : 426300975.0  2581  0.871
    : 426300976.0  2071  0.847
    : 426300977.0  2098  0.884
    : 426300978.0  2226  0.855
    : 426300980.0  2555  0.870
    : 426300981.0  2438  0.884
    : 426300982.0  2180  0.900
    : 426300983.0  2254  0.873
    : 426300984.0  2298  0.865
    : 426300985.0  2466  0.877
    : 426300986.0  2190  0.890
    : 426300987.0  2164  0.876
    : 426300988.0  2584  0.874
    : 426300989.0  2242  0.887
    : 426300990.0  2496  0.888
    : 426300991.0  2180  0.890
    : 426300992.0  2264  0.904
    : 426300993.0  2616  0.888
    : 426300994.0  2279  0.887
    : 426300995.0  2355  0.870
    : 426300996.0  2357  0.889
    : 426300998.0  2075  0.877
    : 426300999.0  2589  0.888
    : 426301000.0  2092  0.894
    : 426301001.0  2310  0.885
    : 426301002.0  2471  0.909
    : 426301003.0  2596  0.891
    : 426301004.0  2220  0.885
    : 426301005.0  2245  0.888
    : 426301007.0  2946  0.895
    : 426301008.0  2590  0.912
    : 426301009.0  2454  0.890
    : 426301010.0  2519  0.882
    : 426301011.0  2510  0.879
    : 426301012.0  2253  0.889
    : 426301013.0  2413  0.889
    : 426301014.0  2081  0.869
    : 426301015.0  2306  0.886
    : 426301016.0  2414  0.899
    : 426301017.0  2190  0.896
    : 426301018.0  2203  0.881
    : 426301019.0  2382  0.885
    : 426301020.0  2122  0.876
    : 426301021.0  2587  0.905
    : 426301022.0  2226  0.887
    : 426301023.0  2174  0.891
    : 426301024.0  2437  0.889
    : 426301025.0  2366  0.876
    : 426301026.0  2234  0.889
    : 426301027.0  2375  0.882
    : 426301028.0  2091  0.898
    : 426301029.0  2366  0.893
    : 426301030.0  2647  0.895
    : 426301031.0  2233  0.879
    : 426301032.0  2715  0.905
    : 426301033.0  2107  0.902
    : 426301034.0  2349  0.899
    : 426301035.0  2099  0.886
    : 426301036.0  2514  0.885
    : 426301037.0  2473  0.910
    : 426301038.0  2400  0.889
    : 426301039.0  2449  0.901
    : 426301040.0  2113  0.890
    : 426301041.0  2509  0.910
    : 426301042.0  2340  0.894
    : 426301043.0  2346  0.906
    : 426301044.0  2292  0.876
    : 426301045.0  2447  0.885
    : 426301046.0  2432  0.899
    : 426301047.0  2697  0.891
    : 426301048.0  2063  0.905
    : 426301049.0  2658  0.894
    : 426301050.0  2406  0.903
    : 426301051.0  2367  0.891
    : 426301052.0  2396  0.879
    : 426301053.0  2135  0.878
    : 426301054.0  2120  0.886
    : 426301055.0  2293  0.900
    : 426301056.0  2254  0.885
    : 426301057.0  2583  0.885
    : 426301058.0  2146  0.876
    : 426301059.0  2535  0.900
    : 426301060.0  2385  0.886
    : 426301061.0  2561  0.893
    : 426301063.0  2352  0.896
    : 426301064.0  2713  0.900
    : 426301065.0  2148  0.876
    : 426301066.0  2381  0.886
    : 426301067.0  2231  0.879
    : 426301068.0  2396  0.904
    : 426301069.0  2569  0.886
    : 426301070.0  2400  0.891
    : 426301071.0  2463  0.911
    : 426301072.0  2381  0.907
    : 426301073.0  2447  0.888
    : 426301074.0  2161  0.871
    : 426301075.0  2323  0.895
    : 426301076.0  2147  0.863
    : 426301078.0  2157  0.881
    : 426301079.0  2541  0.893
    : 426301080.0  2476  0.885
    : 426301081.0  2244  0.880
    : 426301082.0  2309  0.904
    : 426301083.0  2451  0.897
    : 426301084.0  2338  0.886
    : 426301085.0  2032  0.897
    : 426301086.0  2207  0.876
    : 426301088.0  2120  0.888
    : 426301089.0  2141  0.883
    : 426301090.0  2316  0.887
    : 426301091.0  2268  0.902
    : 426301092.0  2670  0.884
    : 426301093.0  2126  0.866
    : 426301094.0  2206  0.883
    : 426301095.0  2118  0.882
    : 426301096.0  2345  0.895
    : 426301097.0  2569  0.885
    : 426301098.0  2284  0.877
    : 426301099.0  2303  0.888
    : 426301100.0  2168  0.891
    : 426301101.0  2367  0.866
    : 426301102.0  2276  0.888
    : 426301103.0  2502  0.888
    : 426301104.0  2133  0.887
    : 426301105.0  2557  0.893
    : 426301107.0  2760  0.882
    : 426301108.0  2107  0.879
    : 426301109.0  2293  0.894
    : 426301110.0  2417  0.872
    : 426301111.0  2394  0.893
    : 426301112.0  2519  0.891
    : 426301113.0  2319  0.882
    : 426301114.0  2421  0.872
    : 426301115.0  2381  0.886
    : 426301116.0  2397  0.875
    : 426301118.0  2353  0.856
    : 426301119.0  2231  0.876
    : 426301121.0  2086  0.852
    : 426301122.0  2298  0.869
    : 426301123.0  2102  0.869
    : 426301124.0  2456  0.884
    : 426301125.0  2497  0.879
    : 426301126.0  2349  0.883
    : 426301127.0  2464  0.886
    : 426301128.0  2276  0.880
    : 426301129.0  2497  0.901
    : 426301130.0  2308  0.875
    : 426301131.0  2442  0.893
    : 426301132.0  2302  0.871
    : 426301133.0  2292  0.877
    : 426301134.0  2601  0.884
    : 426301135.0  2424  0.880
    : 426301137.0  2418  0.888
    : 426301138.0  2541  0.878
    : 426301140.0  2449  0.880
    : 426301141.0  2436  0.888
    : 426301142.0  2265  0.885
    : 426301143.0  2363  0.877
    : 426301144.0  2591  0.892
    : 426301145.0  2093  0.879
    : 426301146.0  2433  0.870
    : 426301147.0  2339  0.894
    : 426301148.0  2395  0.875
    : 426301149.0  2588  0.902
    : 426301150.0  2228  0.871
    : 426301151.0  2374  0.893
    : 426301152.0  2360  0.887
    : 426301153.0  2332  0.869
    : 426301154.0  2219  0.873
    : 426301155.0  2131  0.872
    : 426301156.0  2287  0.877
    : 426301157.0  2279  0.864
    : 426301159.0  2276  0.888
    : 426301160.0  2353  0.895
    : 426301161.0  2471  0.880
    : 426301162.0  2345  0.890
    : 426301163.0  2313  0.878
    : 426301164.0  2630  0.882
    : 426301165.0  2367  0.874
    : 426301166.0  2378  0.886
    : 426301167.0  2378  0.895
    : 426301168.0  2599  0.909
    : 426301169.0  2277  0.909
    : 426301170.0  2549  0.905
    : 426301171.0  2400  0.905
    : 426301172.0  2455  0.912
    : 426301173.0  2433  0.921
    : 426301174.0  2423  0.921
    : 426301175.0  2319  0.917
    : 426301176.0  2280  0.918
    : 426301177.0  2512  0.888
    : 426301178.0  2412  0.930
    : 426301179.0  2449  0.913
    : 426301180.0  2139  0.914
    : 426301181.0  2407  0.918
    : 426301182.0  2550  0.914
    : 426301183.0  2290  0.894
    : 426301184.0  2191  0.890
    : 426301185.0  2345  0.886
    : 426301186.0  2309  0.905
    : 426301187.0  2382  0.902
    : 426301188.0  2486  0.914
    : 426301189.0  2787  0.897
    : 426301190.0  2557  0.912
    : 426301191.0  2626  0.906
    : 426301192.0  2728  0.904
    : 426301193.0  2313  0.920
    : 426301194.0  2412  0.899
    : 426301195.0  2712  0.912
    : 426301196.0  2621  0.918
    : 426301197.0  2639  0.888
    : 426301198.0  2551  0.906
    : 426301199.0  2411  0.885
    : 426301200.0  2618  0.892
    : 426301201.0  2209  0.901
    : 426301202.0  2404  0.899
    : 426301203.0  2739  0.927
    : 426301204.0  2195  0.898
    : 426301207.0  2600  0.888
    : 426301208.0  2548  0.912
    : 426301209.0  2431  0.897
    : 426301210.0  2371  0.910
    : 426301211.0  2218  0.902
    : 426301212.0  2699  0.915
    : 426301213.0  2194  0.889
    : 426301214.0  2277  0.912
    : 426301215.0  2420  0.876
    : 426301216.0  2474  0.928
    : 426301217.0  2639  0.907
    : 426301218.0  2161  0.901
    : 426301219.0  2023  0.892
    : 426301220.0  2632  0.905
    : 426301221.0  2677  0.920
    : 426301222.0  2350  0.904
    : 426301223.0  2129  0.895
    : 426301224.0  2328  0.900
    : 426301226.0  2991  0.924
    : 426301227.0  2030  0.891
    : 426301228.0  2446  0.888
    : 426301230.0  2159  0.907
    : 426301231.0  2476  0.899
    : 426301232.0  2534  0.897
    : 426301233.0  2438  0.906
    : 426301234.0  2555  0.914
    : 426301235.0  2150  0.890
    : 426301236.0  2588  0.906
    : 426301237.0  2467  0.901
    : 426301238.0  2169  0.898
    : 426301239.0  2147  0.878
    : 426301342.0  2102  0.843
    : 426301356.0  3251  0.883
    : 426301357.0  2616  0.956
    : 426301358.0  2833  0.962
    : 426301359.0  2222  0.950
    : 426301360.0  2768  0.963
    : 426301361.0  2919  0.964
    : 426301362.0  2690  0.963
    : 426301413.0  2825  0.898
    : 426301426.0  3704  0.939
    : 426301427.0  2763  0.959
    : 426301428.0  2766  0.967
    : 426301429.0  2332  0.953
    : 426301563.0  2356  0.859
    : 426301566.0  2056  0.854
    : 426301568.0  2048  0.855
    : 426301598.0  3322  0.908
    : 426301599.0  2389  0.960
    : 426301600.0  2903  0.960
    : 426301601.0  2560  0.967
    : 426301602.0  2714  0.948
    : 426301603.0  2705  0.959
    : 426301604.0  2672  0.958
    : 426301605.0  2847  0.970
    : 426301607.0  3806  0.945
    : 426301608.0  2646  0.975
    : 426301609.0  2690  0.960
    : 426301610.0  3030  0.966
    : 426301611.0  2611  0.971
    : 426301612.0  2893  0.964
    : 426301658.0  2221  0.825
    : 426304186.0  2089  0.791
    Total number of 1 second bins: 7182
    Bins with >0 counts          : 5151
    Bins with >2000 counts       : 360
    360 of 360 high count rate bins were dominated by noise
    Noise dominated 5.01% of total time, 6.99% 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: 7182
    Bins with >0 counts          : 5151
    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
    : 426298972.0  3112  0.898
    : 426298973.0  2901  0.948
    : 426298974.0  2462  0.943
    : 426298975.0  2671  0.924
    : 426298976.0  2553  0.938
    : 426298977.0  4056  0.962
    : 426298978.0  2465  0.971
    : 426298979.0  3486  0.983
    : 426298980.0  2752  1.000
    : 426298981.0  2557  0.991
    : 426298982.0  2986  0.993
    : 426298983.0  2724  0.990
    : 426298985.0  3472  0.992
    : 426298986.0  2777  0.991
    : 426298988.0  3043  0.914
    : 426298989.0  3693  0.975
    : 426298990.0  2486  0.975
    : 426298991.0  3482  0.978
    : 426298993.0  2318  0.962
    : 426298994.0  2636  0.948
    : 426298995.0  2340  0.951
    : 426298996.0  2332  0.915
    : 426298998.0  4334  0.945
    : 426299000.0  3071  0.972
    : 426299001.0  2839  0.976
    : 426299002.0  2467  0.981
    : 426299003.0  3593  0.960
    : 426299004.0  2596  0.980
    : 426299005.0  2503  0.982
    : 426299007.0  3393  0.959
    : 426299008.0  2330  0.910
    : 426299009.0  2398  0.935
    : 426299012.0  2507  0.886
    : 426299134.0  2740  0.908
    : 426299135.0  3179  0.921
    : 426299151.0  2116  0.861
    : 426299158.0  2092  0.841
    : 426299163.0  3011  0.911
    : 426299429.0  2589  0.904
    : 426299431.0  2981  0.946
    : 426299432.0  3682  0.986
    : 426299436.0  2358  0.880
    : 426299594.0  3444  0.918
    : 426300060.0  2841  0.928
    : 426300231.0  2697  0.869
    : 426300262.0  3105  0.894
    : 426300263.0  2480  0.971
    : 426300264.0  3300  0.969
    : 426300266.0  2883  0.883
    : 426300267.0  2744  0.898
    : 426300268.0  3536  0.970
    : 426300282.0  2320  0.860
    : 426300350.0  2935  0.897
    : 426300482.0  2209  0.834
    : 426300518.0  2079  0.867
    : 426300707.0  2043  0.805
    : 426300708.0  3365  0.944
    : 426300709.0  2101  0.923
    : 426300710.0  2148  0.903
    : 426300711.0  2351  0.853
    : 426300712.0  3928  0.956
    : 426300717.0  2251  0.889
    : 426300719.0  2958  0.947
    : 426300895.0  2317  0.845
    : 426300925.0  2229  0.912
    : 426301114.0  2044  0.829
    : 426301116.0  2307  0.912
    : 426301118.0  2907  0.921
    : 426301252.0  2295  0.865
    : 426301461.0  2210  0.864
    : 426301476.0  2681  0.894
    : 426301659.0  2904  0.899
    : 426303766.0  2034  0.807
    : 426303770.0  2274  0.831
    : 426303797.0  2184  0.948
    : 426303799.0  2354  0.816
    : 426303801.0  4050  0.928
    : 426303876.0  2594  0.887
    : 426303877.0  2323  0.854
    : 426303885.0  2389  0.893
    : 426303888.0  2779  0.881
    : 426303889.0  2093  0.840
    : 426303890.0  2396  0.869
    : 426303891.0  2762  0.878
    : 426303892.0  2034  0.809
    : 426303893.0  2143  0.889
    : 426303894.0  2640  0.890
    : 426303896.0  2164  0.829
    : 426303897.0  2559  0.884
    : 426303927.0  2892  0.873
    : 426303945.0  2067  0.815
    : 426303953.0  2760  0.884
    : 426303977.0  2168  0.844
    : 426304011.0  2885  0.930
    : 426304037.0  2139  0.842
    : 426304055.0  2119  0.828
    : 426304058.0  3073  0.911
    : 426304065.0  3418  0.951
    : 426304082.0  2738  0.860
    : 426304083.0  2439  0.913
    : 426304085.0  2059  0.826
    : 426304086.0  2410  0.879
    : 426304092.0  3870  0.939
    : 426304093.0  2163  0.962
    : 426304095.0  2653  0.861
    : 426304096.0  3330  0.948
    : 426304097.0  2241  0.956
    : 426304100.0  3857  0.962
    : 426304101.0  2202  0.934
    : 426304102.0  2735  0.947
    : 426304104.0  3530  0.944
    : 426304105.0  3606  0.977
    : 426304107.0  3969  0.969
    : 426304109.0  2812  0.948
    : 426304110.0  3349  0.953
    : 426304112.0  2665  0.930
    : 426304113.0  3039  0.947
    : 426304115.0  3669  0.943
    : 426304117.0  2292  0.870
    : 426304119.0  2736  0.899
    : 426304120.0  2945  0.917
    : 426304121.0  2203  0.928
    : 426304122.0  2315  0.953
    : 426304123.0  2538  0.924
    : 426304124.0  2343  0.959
    : 426304125.0  2435  0.932
    : 426304126.0  2117  0.893
    : 426304127.0  2491  0.900
    : 426304129.0  3145  0.942
    : 426304130.0  2904  0.946
    : 426304131.0  2729  0.963
    : 426304133.0  2291  0.887
    : 426304134.0  2429  0.879
    : 426304135.0  2974  0.901
    : 426304137.0  2013  0.889
    : 426304138.0  2535  0.843
    : 426304139.0  3150  0.926
    : 426304141.0  3323  0.945
    : 426304142.0  2112  0.946
    : 426304143.0  2598  0.949
    : 426304145.0  2998  0.884
    : 426304146.0  2632  0.921
    : 426304147.0  3379  0.962
    : 426304149.0  2271  0.931
    : 426304150.0  3264  0.951
    : 426304152.0  2808  0.932
    : 426304154.0  3504  0.957
    : 426304155.0  2145  0.950
    : 426304156.0  2465  0.908
    : 426304158.0  3270  0.946
    : 426304159.0  3255  0.931
    : 426304160.0  2654  0.984
    : 426304161.0  2401  0.969
    : 426304163.0  3003  0.963
    : 426304166.0  2914  0.909
    : 426304167.0  2502  0.892
    : 426304168.0  2432  0.924
    : 426304169.0  3041  0.964
    : 426304170.0  3287  0.975
    : 426304171.0  2162  0.965
    : 426304173.0  3772  0.964
    : 426304175.0  2317  0.926
    : 426304176.0  3707  0.955
    : 426304177.0  2720  0.964
    : 426304179.0  2272  0.947
    : 426304180.0  2823  0.962
    : 426304181.0  2517  0.954
    : 426304183.0  2846  0.939
    : 426304184.0  2655  0.950
    : 426304185.0  2214  0.927
    : 426304186.0  2914  0.946
    : 426304187.0  2024  0.952
    : 426304188.0  2338  0.949
    : 426304190.0  2024  0.842
    : 426304191.0  2318  0.872
    : 426304194.0  4083  0.940
    : 426304198.0  2753  0.895
    : 426304200.0  2414  0.858
    : 426304202.0  2471  0.933
    : 426304203.0  3122  0.906
    : 426304204.0  2555  0.930
    : 426304205.0  2179  0.951
    : 426304207.0  2747  0.909
    : 426304211.0  2354  0.870
    : 426304215.0  2279  0.860
    : 426304219.0  2435  0.871
    : 426304220.0  3322  0.940
    : 426304222.0  2646  0.912
    : 426304223.0  3139  0.925
    : 426304247.0  2013  0.811
    : 426304290.0  2135  0.835
    : 426304295.0  2515  0.877
    : 426304310.0  2973  0.880
    : 426304333.0  2020  0.816
    : 426304334.0  3879  0.932
    : 426304340.0  2155  0.819
    : 426304341.0  2648  0.983
    : 426304342.0  3188  0.950
    : 426304344.0  2977  0.910
    : 426304346.0  2482  0.874
    : 426304368.0  2313  0.865
    : 426304373.0  2088  0.847
    : 426304374.0  3688  0.914
    : 426304375.0  2775  0.957
    : 426304376.0  2101  0.948
    : 426304377.0  2397  0.922
    : 426304378.0  2642  0.900
    : 426304379.0  2697  0.927
    : 426304380.0  2426  0.929
    : 426304381.0  3212  0.946
    : 426304382.0  3378  0.957
    : 426304383.0  2193  0.958
    : 426304384.0  2515  0.952
    : 426304385.0  2491  0.929
    : 426304386.0  3071  0.960
    : 426304387.0  2635  0.964
    : 426304388.0  2885  0.980
    : 426304389.0  2834  0.976
    : 426304390.0  2058  0.956
    : 426304391.0  3110  0.953
    : 426304392.0  2897  0.959
    : 426304393.0  2666  0.961
    : 426304409.0  2215  0.854
    : 426304428.0  3705  0.923
    : 426304429.0  2781  0.962
    : 426304430.0  2778  0.958
    : 426304431.0  2275  0.959
    : 426304434.0  2018  0.818
    : 426304439.0  4166  0.924
    : 426304440.0  2358  0.972
    : 426304441.0  2424  0.946
    : 426304442.0  2312  0.914
    : 426304443.0  2753  0.935
    : 426304444.0  2843  0.945
    : 426304445.0  2258  0.922
    : 426304446.0  2767  0.938
    : 426304447.0  2345  0.909
    : 426304448.0  3154  0.935
    : 426304449.0  2447  0.947
    : 426304450.0  3412  0.967
    : 426304451.0  2509  0.981
    : 426304452.0  2186  0.967
    : 426304453.0  2474  0.946
    : 426304454.0  2312  0.948
    : 426304455.0  2914  0.938
    : 426304456.0  3299  0.966
    : 426304457.0  2279  0.934
    : 426304458.0  3805  0.971
    : 426304459.0  2392  0.976
    : 426304461.0  2260  0.857
    : 426304462.0  2287  0.892
    : 426304463.0  2357  0.902
    : 426304464.0  2170  0.886
    : 426304465.0  2516  0.856
    : 426304466.0  2113  0.863
    : 426304469.0  2731  0.914
    : 426304475.0  2936  0.887
    : 426304477.0  2719  0.889
    : 426304478.0  2454  0.922
    : 426304483.0  2498  0.854
    : 426304486.0  4193  0.951
    : 426304487.0  2499  0.974
    : 426304489.0  3150  0.958
    : 426304490.0  3011  0.978
    : 426304492.0  2029  0.952
    : 426304493.0  2616  0.940
    : 426304494.0  2362  0.953
    : 426304495.0  2715  0.921
    : 426304496.0  2135  0.895
    : 426304504.0  3212  0.923
    : 426304505.0  2144  0.935
    : 426304507.0  3192  0.927
    : 426304508.0  2367  0.909
    : 426304509.0  2250  0.885
    : 426304511.0  2119  0.834
    : 426304512.0  2474  0.866
    : 426304513.0  2061  0.868
    : 426304515.0  2130  0.805
    : 426304516.0  2040  0.871
    : 426304517.0  2367  0.873
    : 426304518.0  2172  0.884
    : 426304519.0  2491  0.878
    : 426304520.0  2135  0.902
    : 426304526.0  2287  0.847
    : 426304527.0  2432  0.842
    : 426304528.0  2782  0.922
    : 426304529.0  2676  0.913
    : 426304530.0  2149  0.895
    : 426304546.0  2500  0.880
    : 426304547.0  2711  0.879
    : 426304549.0  2502  0.858
    : 426304552.0  3007  0.926
    : 426304553.0  2593  0.951
    : 426304559.0  3232  0.899
    : 426304570.0  2748  0.910
    : 426304571.0  2226  0.901
    : 426304572.0  2912  0.905
    : 426304574.0  2818  0.919
    : 426304575.0  2618  0.923
    : 426304576.0  2476  0.890
    : 426304577.0  2630  0.935
    : 426304578.0  2629  0.910
    : 426304579.0  2300  0.901
    : 426304580.0  2515  0.872
    : 426304581.0  2508  0.882
    : 426304582.0  2067  0.895
    : 426304583.0  3036  0.892
    : 426304585.0  2270  0.881
    : 426304586.0  2585  0.899
    : 426304587.0  2033  0.857
    : 426304588.0  2274  0.839
    : 426304590.0  2439  0.892
    : 426304592.0  2640  0.873
    : 426304593.0  2386  0.891
    : 426304594.0  2100  0.869
    : 426304595.0  2325  0.898
    : 426304604.0  2985  0.918
    : 426304605.0  2186  0.900
    : 426304607.0  2876  0.904
    : 426304611.0  2074  0.839
    : 426304612.0  2666  0.894
    : 426304613.0  2905  0.930
    : 426304614.0  2837  0.940
    : 426304636.0  2022  0.817
    : 426304638.0  2115  0.916
    : 426304681.0  2587  0.928
    : 426304686.0  2731  0.863
    : 426304691.0  3069  0.908
    : 426304693.0  2034  0.929
    : 426304694.0  2662  0.922
    : 426304695.0  2668  0.939
    : 426304697.0  3074  0.924
    : 426304699.0  2538  0.872
    : 426304700.0  2403  0.901
    : 426304701.0  2172  0.899
    : 426304702.0  2268  0.924
    : 426304703.0  3450  0.910
    : 426304709.0  2930  0.899
    : 426304711.0  3075  0.927
    : 426304712.0  2475  0.962
    : 426304721.0  2825  0.883
    : 426304724.0  2232  0.905
    : 426304725.0  2317  0.899
    : 426304727.0  3030  0.917
    : 426304728.0  2810  0.904
    : 426304729.0  2751  0.931
    : 426304730.0  2186  0.937
    : 426304733.0  2841  0.901
    : 426304735.0  2692  0.918
    : 426304737.0  2157  0.831
    : 426304746.0  2016  0.845
    : 426304762.0  2140  0.850
    : 426304763.0  2675  0.913
    : 426304764.0  2570  0.921
    : 426304765.0  2085  0.907
    : 426304766.0  2688  0.901
    : 426304767.0  2094  0.896
    : 426304769.0  2760  0.901
    : 426304770.0  2227  0.923
    : 426304772.0  2690  0.881
    : 426304774.0  2527  0.898
    : 426304775.0  2335  0.882
    : 426304776.0  2441  0.926
    : 426304777.0  2060  0.887
    : 426304778.0  2553  0.940
    : 426304779.0  2510  0.915
    : 426304781.0  2940  0.926
    : 426304782.0  2388  0.937
    : 426304783.0  2707  0.916
    : 426304784.0  2493  0.923
    : 426304786.0  3407  0.919
    : 426304788.0  2202  0.872
    : 426304789.0  2447  0.928
    : 426304790.0  2589  0.950
    : 426304791.0  2335  0.945
    : 426304792.0  2756  0.963
    Total number of 1 second bins: 7182
    Bins with >0 counts          : 5151
    Bins with >2000 counts       : 376
    376 of 376 high count rate bins were dominated by noise
    Noise dominated 5.24% of total time, 7.30% of detector on time (defined as non-zero counts)