Locating noise-dominated data in quadrant 0
    : Time   totcounts   fraction
    : 408973266.0  2644  0.914
    : 408973267.0  2473  0.916
    : 408973268.0  2112  0.857
    : 408973270.0  2016  0.764
    : 408973277.0  2022  0.785
    : 408973397.0  2059  0.791
    : 408973466.0  2072  0.767
    : 408973467.0  2090  0.801
    : 408973548.0  2034  0.816
    : 408973549.0  2255  0.825
    : 408973953.0  2220  0.819
    : 408973955.0  2262  0.857
    : 408974254.0  2063  0.799
    : 408974262.0  2011  0.784
    : 408974373.0  2080  0.809
    : 408974477.0  2868  0.932
    : 408974478.0  2401  0.957
    : 408974479.0  2390  0.919
    : 408974495.0  2251  0.833
    : 408974779.0  2064  0.818
    : 408974817.0  2041  0.848
    : 408975368.0  2717  0.884
    : 408975369.0  2316  0.885
    : 408975370.0  2156  0.870
    : 408975371.0  2348  0.870
    : 408975372.0  2451  0.872
    : 408975373.0  2406  0.869
    : 408975374.0  2453  0.898
    : 408975375.0  2721  0.956
    : 408975376.0  2900  0.956
    : 408975377.0  2660  0.969
    : 408975586.0  2419  0.867
    : 408975587.0  2099  0.866
    : 408975772.0  2152  0.856
    : 408975801.0  2280  0.858
    : 408975802.0  2053  0.815
    : 408975803.0  2185  0.853
    : 408975861.0  2353  0.897
    : 408975862.0  2361  0.904
    : 408975863.0  2079  0.835
    : 408975864.0  2224  0.858
    : 408975865.0  2843  0.895
    : 408975866.0  2734  0.909
    : 408975867.0  2380  0.885
    : 408975868.0  2425  0.904
    : 408975869.0  2658  0.902
    : 408975870.0  2136  0.894
    : 408975871.0  2648  0.906
    : 408975872.0  2168  0.939
    : 408975873.0  2459  0.900
    : 408975874.0  2542  0.890
    : 408975875.0  2180  0.920
    : 408975876.0  2524  0.870
    : 408975877.0  2552  0.904
    : 408975878.0  2400  0.894
    : 408975879.0  2447  0.906
    : 408975880.0  2552  0.900
    : 408975881.0  2309  0.930
    : 408975882.0  2613  0.891
    : 408975883.0  2623  0.914
    : 408975884.0  2259  0.887
    : 408975885.0  2506  0.926
    : 408975886.0  2440  0.909
    : 408975887.0  2333  0.904
    : 408975888.0  2467  0.895
    : 408975889.0  2389  0.896
    : 408975890.0  2233  0.891
    : 408975891.0  2395  0.893
    : 408975892.0  2530  0.905
    : 408975893.0  2466  0.883
    : 408975894.0  2572  0.904
    : 408975895.0  2666  0.914
    : 408975896.0  2202  0.894
    : 408975897.0  2456  0.915
    : 408975898.0  2142  0.876
    : 408975899.0  2294  0.873
    : 408975900.0  2666  0.899
    : 408975901.0  2348  0.886
    : 408975902.0  2452  0.900
    : 408975903.0  2569  0.908
    : 408975904.0  2346  0.962
    : 408975905.0  2175  0.884
    : 408975906.0  2391  0.908
    : 408975907.0  2061  0.875
    : 408975908.0  2299  0.906
    : 408975909.0  2561  0.898
    : 408975910.0  2419  0.902
    : 408975911.0  2528  0.900
    : 408975912.0  2593  0.893
    : 408975914.0  2334  0.897
    : 408975915.0  2406  0.932
    : 408975916.0  2723  0.913
    : 408975917.0  2659  0.916
    : 408975918.0  2562  0.900
    : 408975919.0  2247  0.902
    : 408975920.0  2467  0.914
    : 408975921.0  2413  0.926
    : 408975922.0  2448  0.897
    : 408975923.0  2722  0.916
    : 408975924.0  2233  0.931
    : 408975925.0  2320  0.886
    : 408975926.0  2623  0.890
    : 408975927.0  2114  0.897
    : 408975928.0  2649  0.906
    : 408975929.0  2355  0.891
    : 408975930.0  2381  0.894
    : 408975931.0  2725  0.906
    : 408975932.0  2174  0.879
    : 408975933.0  2330  0.909
    : 408975934.0  2305  0.882
    : 408975935.0  2549  0.912
    : 408975936.0  2440  0.894
    : 408975937.0  2448  0.901
    : 408975938.0  2682  0.906
    : 408975939.0  2593  0.927
    : 408975941.0  2818  0.902
    : 408975942.0  2936  0.959
    : 408975943.0  2186  0.962
    : 408975944.0  2358  0.871
    : 408975945.0  2592  0.900
    : 408975946.0  2304  0.872
    : 408975947.0  2534  0.871
    : 408975948.0  2664  0.891
    : 408975949.0  2283  0.880
    : 408975950.0  2518  0.887
    : 408975951.0  2574  0.904
    : 408975952.0  2551  0.895
    : 408975953.0  2582  0.889
    : 408975954.0  2393  0.880
    : 408975955.0  2387  0.912
    : 408975956.0  2428  0.914
    : 408975957.0  2445  0.881
    : 408975958.0  2425  0.898
    : 408975960.0  2230  0.878
    : 408975962.0  2261  0.866
    : 408975963.0  2583  0.888
    : 408975964.0  2921  0.933
    : 408975966.0  2634  0.906
    : 408975967.0  2585  0.906
    : 408975968.0  2191  0.895
    : 408975969.0  3157  0.955
    : 408975970.0  2181  0.934
    : 408975971.0  2313  0.906
    : 408975972.0  2928  0.958
    : 408975973.0  2186  0.921
    : 408975974.0  2390  0.900
    : 408975975.0  2600  0.912
    : 408975976.0  2564  0.891
    : 408975977.0  3121  0.931
    : 408975978.0  2019  0.897
    : 408975979.0  2534  0.897
    : 408975980.0  2510  0.884
    : 408975981.0  2288  0.901
    : 408975982.0  2334  0.900
    : 408975983.0  2037  0.852
    : 408975984.0  2380  0.907
    : 408975985.0  2429  0.886
    : 408975986.0  2204  0.905
    : 408975987.0  2771  0.899
    : 408975988.0  2375  0.866
    : 408975989.0  2350  0.871
    : 408975990.0  2335  0.896
    : 408975991.0  2657  0.897
    : 408975992.0  2309  0.903
    : 408975993.0  2545  0.898
    : 408975994.0  2533  0.865
    : 408975995.0  2450  0.905
    : 408975996.0  2623  0.889
    : 408975997.0  2456  0.893
    : 408975998.0  2345  0.906
    : 408975999.0  2250  0.859
    : 408976000.0  2232  0.869
    : 408976002.0  2208  0.860
    : 408976003.0  2262  0.875
    : 408976004.0  2324  0.885
    : 408976005.0  2269  0.870
    : 408976007.0  2255  0.887
    : 408976008.0  2368  0.855
    : 408976009.0  2295  0.874
    : 408976010.0  2317  0.887
    : 408976011.0  2725  0.917
    : 408976012.0  2031  0.882
    : 408976013.0  2154  0.886
    : 408976015.0  2527  0.877
    : 408976016.0  2209  0.845
    : 408976017.0  2044  0.842
    : 408976018.0  2062  0.850
    : 408976019.0  2415  0.846
    : 408976021.0  2508  0.874
    : 408976022.0  2502  0.887
    : 408976023.0  2176  0.859
    : 408976024.0  2243  0.851
    : 408976026.0  2305  0.856
    : 408976027.0  2147  0.840
    : 408976028.0  2409  0.892
    : 408976029.0  2237  0.880
    : 408976030.0  2244  0.846
    : 408976031.0  2592  0.894
    : 408976034.0  2589  0.914
    : 408976035.0  2035  0.831
    : 408976036.0  2141  0.844
    : 408976037.0  2664  0.887
    : 408976038.0  2908  0.935
    : 408976043.0  2758  0.943
    : 408976044.0  2127  0.875
    : 408976045.0  2296  0.844
    : 408976046.0  2348  0.878
    : 408976047.0  2369  0.877
    : 408976048.0  2065  0.859
    : 408976049.0  2469  0.878
    : 408976050.0  2399  0.880
    : 408976051.0  2464  0.873
    : 408976052.0  2407  0.884
    : 408976053.0  2695  0.921
    : 408976054.0  2450  0.900
    : 408976055.0  2292  0.885
    : 408976056.0  2454  0.886
    : 408976057.0  2080  0.820
    : 408976058.0  2528  0.898
    : 408976059.0  2289  0.910
    : 408976060.0  2559  0.886
    : 408976062.0  2478  0.890
    : 408976063.0  2489  0.882
    : 408976064.0  2166  0.885
    : 408976065.0  2687  0.926
    : 408976066.0  2528  0.908
    : 408976067.0  2559  0.908
    : 408976068.0  2423  0.910
    : 408976069.0  2399  0.890
    : 408976070.0  2516  0.916
    : 408976071.0  2324  0.848
    : 408976072.0  2483  0.915
    : 408976073.0  2589  0.919
    : 408976074.0  2420  0.893
    : 408976075.0  2334  0.898
    : 408976076.0  2277  0.906
    : 408976077.0  2330  0.888
    : 408976078.0  2566  0.900
    : 408976079.0  2357  0.901
    : 408976080.0  2576  0.923
    : 408976081.0  2233  0.884
    : 408976083.0  2343  0.903
    : 408976084.0  2557  0.875
    : 408976085.0  2399  0.881
    : 408976087.0  2564  0.894
    : 408976088.0  2166  0.914
    : 408976089.0  2470  0.868
    : 408976090.0  2459  0.885
    : 408976091.0  2636  0.881
    : 408976092.0  2695  0.889
    : 408976093.0  2430  0.890
    : 408976094.0  2354  0.845
    : 408976095.0  2497  0.899
    : 408976096.0  2523  0.884
    : 408976097.0  2403  0.888
    : 408976098.0  2420  0.882
    : 408976101.0  2180  0.932
    : 408976102.0  2505  0.914
    : 408976103.0  2352  0.901
    : 408976104.0  2193  0.886
    : 408976105.0  2608  0.893
    : 408976106.0  2153  0.879
    : 408976107.0  2303  0.845
    : 408976109.0  2359  0.891
    : 408976110.0  2284  0.854
    : 408976111.0  2484  0.866
    : 408976112.0  2302  0.838
    : 408976113.0  2325  0.900
    : 408976115.0  2288  0.868
    : 408976116.0  2374  0.858
    : 408976117.0  2616  0.935
    : 408976118.0  2168  0.848
    : 408976119.0  2292  0.855
    : 408976120.0  2607  0.892
    : 408976121.0  2429  0.887
    : 408976122.0  2559  0.889
    : 408976123.0  2474  0.879
    : 408976124.0  2328  0.867
    : 408976125.0  2453  0.894
    : 408976126.0  2282  0.871
    : 408976127.0  2256  0.900
    : 408976128.0  2403  0.897
    : 408976129.0  2375  0.883
    : 408976130.0  2367  0.882
    : 408976131.0  2528  0.938
    : 408976132.0  2412  0.894
    : 408976134.0  2577  0.945
    : 408976135.0  2420  0.887
    : 408976136.0  2252  0.863
    : 408976137.0  2555  0.887
    : 408976138.0  2222  0.879
    : 408976139.0  2514  0.861
    : 408976140.0  2451  0.857
    : 408976141.0  2211  0.856
    : 408976142.0  2183  0.856
    : 408976143.0  2421  0.850
    : 408976144.0  2255  0.892
    : 408976145.0  2094  0.848
    : 408976146.0  2147  0.898
    : 408976148.0  2136  0.843
    : 408976149.0  2645  0.874
    : 408976150.0  2473  0.892
    : 408976151.0  2342  0.887
    : 408976152.0  2011  0.869
    : 408976153.0  2482  0.915
    : 408976154.0  2451  0.894
    : 408976155.0  2305  0.895
    : 408976156.0  2490  0.899
    : 408976157.0  2485  0.895
    : 408976158.0  2272  0.875
    : 408976159.0  2145  0.907
    : 408976160.0  2400  0.889
    : 408976161.0  2651  0.947
    : 408976163.0  2721  0.866
    : 408976165.0  2327  0.909
    : 408976167.0  2443  0.846
    : 408976169.0  2078  0.868
    : 408976170.0  2163  0.866
    : 408976171.0  2236  0.872
    : 408976172.0  2491  0.896
    : 408976192.0  2373  0.853
    : 408976193.0  2203  0.835
    : 408976196.0  2210  0.863
    : 408976215.0  2469  0.887
    : 408976224.0  2272  0.853
    : 408976226.0  2383  0.850
    : 408976227.0  2062  0.842
    : 408976250.0  2843  0.929
    : 408976251.0  2508  0.884
    : 408976252.0  2490  0.907
    : 408976253.0  2536  0.919
    : 408976254.0  2653  0.910
    : 408976259.0  2800  0.909
    : 408976309.0  2426  0.879
    : 408976310.0  2161  0.881
    : 408976311.0  2603  0.887
    : 408976312.0  2681  0.908
    : 408976315.0  2094  0.883
    : 408976316.0  2567  0.910
    : 408976317.0  2560  0.884
    : 408976318.0  2556  0.908
    : 408976319.0  2394  0.893
    : 408976329.0  2735  0.867
    : 408976330.0  2049  0.848
    : 408976356.0  2294  0.875
    Total number of 1 second bins: 3134
    Bins with >0 counts          : 3134
    Bins with >2000 counts       : 345
    345 of 345 high count rate bins were dominated by noise
    Noise dominated 11.01% of total time, 11.01% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 1
    : Time   totcounts   fraction
    : 408974878.0  2019  0.816
    : 408974903.0  2137  0.848
    Total number of 1 second bins: 3134
    Bins with >0 counts          : 3134
    Bins with >2000 counts       : 2
    2 of 2 high count rate bins were dominated by noise
    Noise dominated 0.06% of total time, 0.06% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 2
    : Time   totcounts   fraction
    : 408974052.0  2276  0.840
    Total number of 1 second bins: 3134
    Bins with >0 counts          : 3134
    Bins with >2000 counts       : 1
    1 of 1 high count rate bins were dominated by noise
    Noise dominated 0.03% of total time, 0.03% of detector on time (defined as non-zero counts)


Locating noise-dominated data in quadrant 3
    : Time   totcounts   fraction
    : 408974398.0  2076  0.811
    : 408974659.0  2150  0.847
    : 408974660.0  2033  0.842
    : 408974676.0  2331  0.856
    : 408974677.0  2147  0.821
    : 408974678.0  2009  0.865
    : 408974680.0  2012  0.856
    : 408974697.0  2336  0.893
    : 408974698.0  2840  0.905
    : 408974713.0  2364  0.983
    : 408974714.0  2057  0.860
    : 408974759.0  2106  0.843
    : 408974775.0  2550  0.904
    : 408974778.0  2363  0.851
    : 408974826.0  2206  0.829
    : 408974852.0  2325  0.848
    : 408974853.0  2378  0.877
    : 408974854.0  2019  0.823
    : 408975023.0  2287  0.920
    : 408975048.0  2041  0.820
    : 408975666.0  2219  0.859
    : 408975667.0  2357  0.950
    : 408975699.0  2117  0.877
    Total number of 1 second bins: 3134
    Bins with >0 counts          : 3134
    Bins with >2000 counts       : 23
    23 of 23 high count rate bins were dominated by noise
    Noise dominated 0.73% of total time, 0.73% of detector on time (defined as non-zero counts)