Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 416155079.0 2801 0.846
: 416155093.0 2055 0.771
: 416155094.0 2127 0.825
: 416155096.0 2969 0.864
: 416155097.0 2340 0.894
: 416155098.0 2044 0.918
: 416155104.0 2317 0.811
: 416155119.0 3128 0.895
: 416155125.0 2303 0.859
: 416155129.0 3778 0.905
: 416155132.0 2585 0.828
: 416155135.0 2782 0.890
: 416155136.0 2394 0.829
: 416155137.0 3027 0.934
: 416155142.0 2060 0.783
: 416155146.0 2029 0.800
: 416155153.0 2024 0.811
: 416155157.0 2293 0.800
: 416155223.0 3017 0.856
: 416155535.0 2497 0.845
: 416156597.0 2242 0.879
: 416158284.0 2160 0.829
: 416161087.0 2075 0.850
: 416161088.0 2054 0.830
: 416161093.0 2684 0.825
Total number of 1 second bins: 7269
Bins with >0 counts : 5266
Bins with >2000 counts : 25
25 of 25 high count rate bins were dominated by noise
Noise dominated 0.34% of total time, 0.47% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 416154911.0 2170 0.755
: 416161148.0 2140 0.789
Total number of 1 second bins: 7269
Bins with >0 counts : 5266
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 2
: Time totcounts fraction
: 416154815.0 2870 0.829
: 416154817.0 2301 0.777
: 416155791.0 2965 0.876
: 416156315.0 3575 0.925
: 416156316.0 2530 0.975
: 416156326.0 2338 0.854
: 416156363.0 2571 0.879
: 416156364.0 2448 0.908
: 416156365.0 3206 0.917
: 416156366.0 2642 0.925
: 416161087.0 2397 0.831
Total number of 1 second bins: 7269
Bins with >0 counts : 5266
Bins with >2000 counts : 11
11 of 11 high count rate bins were dominated by noise
Noise dominated 0.15% of total time, 0.21% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 416154816.0 2624 0.830
: 416154817.0 3393 0.971
: 416154818.0 2375 1.000
: 416154819.0 2815 0.970
: 416154824.0 3409 0.892
: 416154829.0 2026 0.794
: 416154837.0 2033 0.827
: 416154843.0 3935 0.922
: 416154844.0 2329 0.924
: 416154883.0 2124 0.820
: 416154884.0 2062 0.836
: 416154890.0 4439 0.918
: 416154932.0 3841 0.918
: 416154953.0 2247 0.834
: 416154983.0 2299 0.806
: 416154998.0 2958 0.865
: 416155026.0 2416 0.844
: 416155028.0 4487 0.930
: 416155029.0 2813 0.960
: 416155030.0 2643 0.986
: 416155033.0 4057 0.946
: 416155036.0 2836 0.854
: 416155084.0 3982 0.976
: 416155085.0 2746 0.980
: 416155086.0 2445 0.997
: 416155089.0 2033 0.789
: 416155090.0 3377 0.938
: 416155091.0 2566 1.000
: 416155092.0 2657 0.956
: 416155093.0 2638 0.941
: 416155094.0 2505 0.970
: 416155095.0 2527 1.000
: 416155096.0 2523 0.981
: 416155097.0 2385 0.979
: 416155117.0 4264 0.945
: 416155151.0 3295 0.896
: 416155165.0 2862 0.882
: 416155183.0 3163 0.888
: 416155187.0 2212 0.812
: 416155191.0 3098 0.895
: 416155192.0 2977 0.917
: 416155193.0 2471 0.925
: 416155194.0 2518 0.947
: 416155195.0 2311 0.934
: 416155196.0 2025 0.900
: 416155197.0 2893 0.932
: 416155199.0 3348 0.914
: 416155205.0 2279 0.825
: 416155206.0 2883 0.893
: 416155213.0 2181 0.824
: 416155214.0 2316 0.906
: 416155216.0 3355 0.964
: 416155218.0 3367 0.937
: 416155219.0 2450 0.948
: 416155225.0 2394 0.845
: 416155229.0 2441 0.826
: 416155231.0 4110 0.939
: 416155232.0 2799 0.962
: 416155233.0 2701 0.966
: 416155239.0 3964 0.915
: 416155240.0 2822 0.945
: 416155241.0 2773 0.983
: 416155243.0 2991 0.929
: 416155244.0 2379 0.959
: 416155245.0 2645 0.963
: 416155246.0 2763 0.976
: 416155248.0 4344 0.946
: 416155249.0 2663 0.953
: 416155250.0 2697 0.989
: 416155252.0 2117 0.808
: 416155253.0 2255 0.823
: 416155255.0 3292 0.883
: 416155268.0 4572 0.940
: 416155277.0 2728 0.870
: 416155286.0 2438 0.841
: 416155308.0 2547 0.864
: 416155325.0 2162 0.834
: 416155337.0 2437 0.857
: 416155460.0 3011 0.862
: 416155529.0 2677 0.880
: 416155566.0 2118 0.825
: 416155591.0 2388 0.860
: 416155650.0 2268 0.836
: 416155685.0 2477 0.912
: 416155710.0 5101 0.945
: 416155712.0 2201 0.889
: 416155713.0 3028 0.971
: 416155717.0 3302 0.904
: 416155718.0 3055 0.926
: 416155720.0 3781 0.923
: 416155723.0 2745 0.885
: 416155726.0 2277 0.842
: 416155737.0 2735 0.921
: 416155741.0 2793 0.866
: 416155743.0 2889 0.885
: 416155744.0 3157 0.926
: 416155745.0 2627 0.964
: 416155746.0 2852 0.977
: 416155747.0 2394 0.966
: 416155748.0 2769 0.973
: 416155749.0 2620 0.965
: 416155750.0 2637 0.970
: 416155753.0 4321 0.936
: 416155767.0 3715 0.934
: 416155856.0 4676 0.935
: 416155857.0 2852 0.981
: 416155858.0 2602 0.957
: 416155859.0 2583 0.943
: 416155860.0 2759 0.974
: 416155882.0 2392 0.856
: 416155954.0 3079 0.896
: 416155955.0 2876 0.966
: 416155957.0 4122 0.933
: 416155958.0 2761 0.956
: 416155961.0 4346 0.959
: 416155966.0 3122 0.902
: 416155969.0 2035 0.813
: 416155978.0 4563 0.941
: 416155990.0 3602 0.928
: 416155998.0 4108 0.931
: 416156000.0 3356 0.923
: 416156010.0 2914 0.885
: 416156029.0 2244 0.867
: 416156037.0 4421 0.935
: 416156051.0 4507 0.964
: 416156061.0 3312 0.892
: 416156062.0 2523 0.901
: 416156071.0 2822 0.905
: 416156128.0 2359 0.903
: 416156154.0 3641 0.920
: 416156159.0 2557 0.846
: 416156183.0 3771 0.946
: 416156187.0 2617 0.877
: 416156189.0 3206 0.957
: 416156192.0 2481 0.875
: 416156194.0 3042 0.900
: 416156201.0 3313 0.919
: 416156202.0 2853 0.993
: 416156227.0 4720 0.951
: 416156230.0 4147 0.942
: 416156232.0 3196 0.943
: 416156240.0 2317 0.872
: 416156245.0 3605 0.917
: 416156321.0 2522 0.854
: 416156322.0 3005 0.924
: 416156529.0 3719 0.933
: 416156760.0 2097 0.839
: 416156830.0 3282 0.907
: 416156832.0 2164 0.853
: 416156853.0 4420 0.962
: 416156855.0 2708 0.908
: 416156859.0 3485 0.909
: 416156860.0 3842 0.955
: 416156861.0 2335 0.949
: 416156862.0 2106 0.912
: 416156863.0 3146 0.938
: 416156864.0 2197 0.941
: 416156868.0 2162 0.834
: 416156887.0 2726 0.872
: 416156889.0 2235 0.838
: 416156890.0 2048 0.856
: 416156892.0 3109 0.902
: 416156893.0 2843 0.900
: 416156908.0 2660 0.871
: 416156910.0 2450 0.880
: 416157227.0 2636 0.873
: 416157231.0 2083 0.827
: 416157278.0 2538 0.835
: 416157285.0 2500 0.875
: 416157291.0 2422 0.874
: 416157296.0 2086 0.829
: 416157297.0 2343 0.899
: 416157298.0 2034 0.840
: 416157365.0 3894 0.929
: 416157366.0 2382 0.936
: 416157367.0 2669 0.972
: 416157369.0 2501 0.884
: 416157373.0 3856 0.943
: 416157376.0 2183 0.861
: 416157377.0 2939 0.887
: 416157378.0 2522 0.964
: 416157379.0 2050 0.917
: 416157381.0 2440 0.914
: 416157382.0 2605 0.898
: 416157383.0 2699 0.881
: 416157384.0 2058 0.865
: 416157385.0 2541 0.867
: 416157386.0 2211 0.849
: 416157387.0 2297 0.847
: 416157388.0 3048 0.888
: 416157390.0 2017 0.852
: 416157391.0 2073 0.841
: 416157392.0 2280 0.862
: 416157393.0 2393 0.859
: 416157394.0 2640 0.877
: 416157395.0 2586 0.896
: 416157396.0 3257 0.919
: 416157398.0 3380 0.941
: 416157409.0 3232 0.886
: 416157411.0 2186 0.843
: 416157414.0 2497 0.867
: 416157418.0 2112 0.842
: 416157421.0 2230 0.851
: 416157422.0 2958 0.922
: 416157423.0 2901 0.910
: 416157424.0 2418 0.915
: 416157425.0 2773 0.914
: 416157426.0 2542 0.909
: 416157427.0 2341 0.897
: 416157428.0 2361 0.864
: 416157429.0 2564 0.895
: 416157430.0 2502 0.906
: 416157431.0 3248 0.923
: 416157433.0 3438 0.927
: 416157434.0 3311 0.972
: 416157435.0 2537 0.956
: 416157436.0 2861 0.950
: 416157437.0 2894 0.982
: 416157439.0 3596 0.947
: 416157440.0 2804 0.967
: 416157442.0 2658 0.902
: 416157446.0 2383 0.859
: 416157447.0 3408 0.945
: 416157450.0 2912 0.894
: 416157453.0 3547 0.908
: 416157455.0 2572 0.904
: 416157467.0 2019 0.840
: 416157468.0 3014 0.891
: 416157470.0 2998 0.902
: 416157471.0 2617 0.914
: 416157473.0 3442 0.930
: 416157474.0 2291 0.917
: 416157475.0 2069 0.884
: 416157476.0 2388 0.890
: 416157477.0 3719 0.925
: 416157479.0 3597 0.924
: 416157482.0 2071 0.858
: 416157490.0 2145 0.853
: 416157491.0 2439 0.882
: 416157492.0 2090 0.845
: 416157494.0 2021 0.853
: 416157495.0 2217 0.855
: 416157497.0 2140 0.869
: 416157499.0 3501 0.927
: 416157500.0 3145 0.972
: 416157501.0 2728 0.979
: 416157502.0 2616 0.960
: 416157504.0 2445 0.854
: 416157505.0 3872 0.978
: 416157506.0 2281 0.932
: 416157507.0 2891 0.971
: 416157510.0 2758 0.869
: 416157511.0 2462 0.872
: 416157515.0 3065 0.903
: 416157520.0 2642 0.885
: 416157532.0 2042 0.825
: 416157534.0 4022 0.942
: 416157536.0 2228 0.836
: 416157537.0 2422 0.857
: 416157538.0 2722 0.926
: 416157539.0 3527 0.921
: 416157541.0 2460 0.857
: 416157542.0 3014 0.908
: 416157548.0 2269 0.874
: 416157551.0 2869 0.865
: 416157552.0 3030 0.922
: 416157554.0 2695 0.901
: 416157555.0 2478 0.864
: 416157556.0 2341 0.897
: 416157558.0 4117 0.951
: 416157560.0 3918 0.942
: 416157562.0 2053 0.823
: 416157564.0 3718 0.914
: 416157566.0 2519 0.838
: 416157569.0 2057 0.856
: 416157570.0 2034 0.851
: 416157571.0 2354 0.869
: 416157573.0 2147 0.839
: 416157574.0 3033 0.900
: 416157579.0 2020 0.833
: 416157619.0 3837 0.924
: 416157714.0 2798 0.901
: 416157796.0 2020 0.873
: 416157867.0 2067 0.857
: 416157949.0 2207 0.842
: 416157952.0 3319 0.890
: 416157958.0 2420 0.869
: 416158025.0 2101 0.853
: 416158098.0 4484 0.932
: 416158249.0 2243 0.860
: 416158743.0 2553 0.863
: 416161086.0 2176 0.949
: 416161088.0 2410 0.959
: 416161089.0 2281 1.000
: 416161090.0 2600 0.941
: 416161091.0 2470 0.961
: 416161092.0 2103 0.995
: 416161093.0 2189 0.909
: 416161094.0 2489 0.926
: 416161095.0 2279 0.913
: 416161096.0 2797 0.955
: 416161097.0 2526 0.943
: 416161098.0 2594 0.966
: 416161099.0 2592 0.946
: 416161101.0 2563 0.886
: 416161102.0 2811 0.946
: 416161103.0 2507 0.980
: 416161104.0 2370 0.950
: 416161106.0 2429 0.844
: 416161107.0 2352 0.878
: 416161109.0 2268 0.823
: 416161117.0 2160 0.785
: 416161156.0 2665 0.830
: 416161178.0 2699 0.837
: 416161245.0 2277 0.808
: 416161267.0 2856 0.842
: 416161272.0 2122 0.816
: 416161275.0 2987 0.864
: 416161296.0 2589 0.847
: 416161297.0 2519 0.936
: 416161303.0 2305 0.823
: 416161304.0 2029 0.814
: 416161305.0 2866 0.901
: 416161306.0 2592 0.860
: 416161309.0 3400 0.899
: 416161318.0 2974 0.872
: 416161319.0 2113 0.819
: 416161320.0 2211 0.825
: 416161328.0 2042 0.813
: 416161332.0 2273 0.822
: 416161351.0 2040 0.834
: 416161354.0 2261 0.818
: 416161364.0 2032 0.805
: 416161365.0 2228 0.824
: 416161366.0 2311 0.842
: 416161382.0 2098 0.819
: 416161383.0 2034 0.802
: 416161439.0 2165 0.784
: 416161730.0 2075 0.842
: 416161731.0 2165 0.839
: 416161763.0 2195 0.839
: 416161765.0 2029 0.781
: 416161771.0 3423 0.920
: 416161772.0 2770 0.976
: 416161774.0 2693 0.863
: 416161948.0 3507 0.948
: 416161949.0 2255 0.976
: 416161950.0 2047 0.974
: 416161951.0 2166 0.953
: 416161952.0 2731 0.975
: 416161961.0 2136 0.831
: 416161962.0 2111 0.953
: 416161963.0 2603 0.982
: 416161966.0 4128 0.953
: 416161967.0 2476 1.000
: 416161968.0 2597 0.941
Total number of 1 second bins: 7269
Bins with >0 counts : 5266
Bins with >2000 counts : 356
356 of 356 high count rate bins were dominated by noise
Noise dominated 4.90% of total time, 6.76% of detector on time (defined as non-zero counts)