Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 444454358.0 3794 0.920
: 444454359.0 2127 0.936
: 444456659.0 2114 0.800
: 444458010.0 2306 0.836
: 444458024.0 2087 0.652
: 444458027.0 2033 0.696
: 444458047.0 2081 0.660
: 444458051.0 2053 0.648
: 444459552.0 2898 0.883
: 444459553.0 2511 0.943
: 444459558.0 3653 0.946
: 444459560.0 3049 0.937
: 444459561.0 2025 0.926
: 444459562.0 2439 0.916
: 444459563.0 2332 0.916
Total number of 1 second bins: 7505
Bins with >0 counts : 6411
Bins with >2000 counts : 15
15 of 15 high count rate bins were dominated by noise
Noise dominated 0.20% of total time, 0.23% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 444458473.0 2332 0.826
: 444458602.0 2408 0.849
Total number of 1 second bins: 7505
Bins with >0 counts : 6411
Bins with >2000 counts : 2
2 of 2 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 2
: Time totcounts fraction
: 444458035.0 2356 0.678
Total number of 1 second bins: 7505
Bins with >0 counts : 6411
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 3
: Time totcounts fraction
: 444452261.0 3533 0.902
: 444452320.0 2970 0.891
: 444452321.0 2252 0.892
: 444452322.0 2205 0.832
: 444452332.0 2003 0.828
: 444452360.0 2534 0.875
: 444452361.0 2770 0.920
: 444452363.0 3116 0.897
: 444452365.0 2393 0.875
: 444452366.0 2852 0.895
: 444452369.0 2544 0.868
: 444452370.0 2342 0.895
: 444452371.0 2624 0.889
: 444452373.0 3430 0.923
: 444452375.0 2103 0.857
: 444452389.0 2101 0.850
: 444452396.0 2344 0.848
: 444452397.0 2613 0.881
: 444452412.0 4453 0.942
: 444452425.0 2173 0.848
: 444452426.0 2114 0.861
: 444452431.0 2689 0.880
: 444452456.0 4340 0.929
: 444452491.0 3885 0.927
: 444452494.0 2267 0.875
: 444452545.0 2728 0.875
: 444452664.0 2116 0.859
: 444452697.0 3015 0.898
: 444452744.0 2184 0.881
: 444452966.0 2796 0.918
: 444453255.0 3215 0.902
: 444453257.0 2103 0.872
: 444453330.0 3507 0.923
: 444453331.0 2871 0.945
: 444453413.0 3617 0.939
: 444453415.0 2275 0.869
: 444453416.0 2104 0.868
: 444453740.0 2700 0.900
: 444454118.0 2008 0.877
: 444454119.0 3534 0.932
: 444454193.0 2938 0.904
: 444454320.0 2204 0.871
: 444454349.0 2008 0.840
: 444454351.0 2951 0.899
: 444454360.0 2278 0.843
: 444454525.0 3275 0.916
: 444454530.0 2093 0.856
: 444454604.0 2110 0.852
: 444454607.0 2154 0.825
: 444454611.0 2814 0.901
: 444454612.0 2681 0.887
: 444454613.0 2559 0.914
: 444454614.0 3361 0.928
: 444454615.0 2453 0.941
: 444454616.0 2687 0.928
: 444454617.0 2639 0.955
: 444454622.0 3246 0.904
: 444454649.0 2342 0.859
: 444454650.0 2010 0.839
: 444454663.0 2090 0.844
: 444454664.0 2493 0.880
: 444454665.0 2329 0.898
: 444454666.0 3663 0.919
: 444454667.0 2640 0.953
: 444454668.0 2846 0.962
: 444454669.0 2907 0.986
: 444454688.0 2185 0.846
: 444454728.0 2596 0.890
: 444454729.0 3389 0.923
: 444454730.0 2383 0.987
: 444454761.0 2730 0.891
: 444454838.0 2240 0.858
: 444454839.0 2525 0.884
: 444454841.0 3423 0.972
: 444454843.0 2557 0.892
: 444454844.0 2717 0.876
: 444454914.0 2925 0.905
: 444455181.0 3695 0.930
: 444455182.0 2830 0.955
: 444455183.0 2731 0.969
: 444455184.0 2858 0.959
: 444455273.0 2256 0.829
: 444455380.0 3641 0.928
: 444455382.0 2581 0.870
: 444455384.0 2771 0.871
: 444455415.0 2756 0.885
: 444455517.0 2046 0.840
: 444455550.0 2179 0.843
: 444455609.0 2486 0.928
: 444455612.0 2390 0.874
: 444455754.0 2193 0.894
: 444455781.0 2770 0.868
: 444455891.0 2691 0.893
: 444455937.0 2173 0.829
: 444455939.0 2475 0.888
: 444456099.0 2153 0.814
: 444456100.0 2278 0.856
: 444456102.0 2440 0.858
: 444456107.0 2134 0.824
: 444456108.0 2060 0.828
: 444456110.0 2772 0.871
: 444456111.0 2366 0.880
: 444456113.0 2845 0.887
: 444456115.0 2512 0.876
: 444456116.0 2573 0.913
: 444456119.0 3456 0.892
: 444456127.0 2266 0.825
: 444456128.0 2085 0.796
: 444456135.0 2778 0.880
: 444456137.0 2124 0.806
: 444456139.0 2942 0.883
: 444456141.0 2639 0.916
: 444456143.0 2383 0.860
: 444456144.0 2559 0.858
: 444456147.0 2060 0.877
: 444456149.0 2500 0.881
: 444456150.0 2013 0.874
: 444456151.0 2980 0.932
: 444456153.0 2724 0.864
: 444456155.0 2220 0.877
: 444456156.0 2325 0.864
: 444456158.0 3092 0.900
: 444456160.0 3464 0.909
: 444456161.0 2056 0.911
: 444456162.0 2632 0.966
: 444456163.0 2458 0.965
: 444456164.0 2651 0.946
: 444456165.0 2511 0.959
: 444456166.0 2416 0.962
: 444456168.0 2787 0.911
: 444456169.0 2640 0.937
: 444456170.0 2521 0.950
: 444456173.0 2819 0.903
: 444456174.0 2323 0.917
: 444456176.0 2184 0.875
: 444456177.0 2221 0.870
: 444456178.0 2425 0.879
: 444456180.0 3086 0.896
: 444456182.0 2047 0.860
: 444456183.0 2767 0.855
: 444456192.0 2031 0.813
: 444456195.0 2435 0.860
: 444456197.0 2275 0.840
: 444456198.0 2355 0.899
: 444456200.0 2069 0.838
: 444456215.0 2176 0.823
: 444456217.0 2378 0.832
: 444456218.0 2648 0.878
: 444456222.0 2426 0.843
: 444456228.0 2112 0.806
: 444456243.0 2178 0.825
: 444456245.0 2959 0.879
: 444456250.0 2172 0.804
: 444456445.0 2222 0.841
: 444456446.0 2040 0.834
: 444456475.0 2149 0.808
: 444456478.0 2850 0.871
: 444456479.0 2116 0.882
: 444456482.0 2396 0.867
: 444456484.0 2803 0.886
: 444456485.0 2071 0.878
: 444456486.0 2304 0.853
: 444456488.0 2145 0.871
: 444456490.0 2316 0.883
: 444456491.0 2179 0.907
: 444456493.0 2837 0.876
: 444456494.0 2432 0.912
: 444456495.0 2527 0.915
: 444456496.0 2833 0.932
: 444456498.0 2659 0.912
: 444456500.0 2074 0.858
: 444456501.0 2002 0.812
: 444456503.0 2505 0.878
: 444456504.0 2567 0.871
: 444456611.0 2466 0.861
: 444456640.0 2597 0.845
: 444456641.0 2266 0.855
: 444456698.0 2103 0.806
: 444456716.0 2004 0.806
: 444456719.0 2445 0.862
: 444456721.0 2251 0.830
: 444456722.0 2156 0.846
: 444456723.0 2134 0.848
: 444456724.0 2142 0.827
: 444456732.0 2477 0.838
: 444456733.0 3033 0.924
: 444456756.0 2561 0.876
: 444456787.0 2014 0.839
: 444456790.0 2091 0.874
: 444456792.0 2049 0.816
: 444456852.0 2278 0.813
: 444456853.0 2043 0.823
: 444456863.0 2254 0.820
: 444456866.0 2170 0.792
: 444456870.0 2760 0.829
: 444456872.0 2852 0.836
: 444456880.0 3413 0.891
: 444456890.0 2896 0.834
: 444456891.0 2426 0.856
: 444456892.0 2169 0.885
: 444456894.0 2526 0.862
: 444456896.0 2617 0.766
: 444456900.0 2411 0.691
: 444458017.0 2549 0.738
: 444458029.0 2481 0.694
: 444458031.0 2167 0.603
: 444458072.0 2604 0.785
: 444458078.0 2229 0.782
: 444458155.0 2963 0.898
: 444458186.0 2305 0.836
: 444458187.0 2783 0.891
: 444458205.0 3779 0.939
: 444458206.0 2635 0.931
: 444458274.0 2005 0.826
: 444458330.0 3461 0.899
: 444458417.0 3181 0.897
: 444458418.0 3098 0.922
: 444458441.0 2876 0.870
: 444458506.0 2592 0.836
: 444458508.0 2922 0.883
: 444458509.0 3283 0.949
: 444458511.0 3050 0.921
: 444458516.0 3010 0.864
: 444458564.0 2007 0.825
: 444458602.0 2270 0.867
: 444458603.0 2453 0.854
: 444458604.0 2357 0.889
: 444458614.0 2875 0.888
: 444458617.0 2344 0.836
: 444458670.0 2307 0.881
: 444458694.0 2510 0.871
: 444458696.0 2186 0.861
: 444458698.0 2428 0.866
: 444458709.0 2291 0.864
: 444458721.0 2433 0.896
: 444458722.0 2483 0.869
: 444458725.0 2184 0.847
: 444458727.0 2895 0.889
: 444458728.0 2578 0.898
: 444458729.0 2490 0.902
: 444458730.0 3730 0.949
: 444458731.0 2658 0.958
: 444458733.0 2646 0.896
: 444458734.0 2478 0.884
: 444458735.0 2498 0.934
: 444458752.0 2222 0.840
: 444458753.0 3636 0.970
: 444458760.0 2019 0.855
: 444458765.0 2587 0.890
: 444458769.0 2162 0.834
: 444458797.0 2059 0.851
: 444458798.0 2045 0.818
: 444458799.0 2472 0.904
: 444458800.0 2217 0.859
: 444458801.0 2041 0.874
: 444458802.0 2787 0.908
: 444458804.0 4391 0.945
: 444458805.0 2428 0.946
: 444458851.0 2494 0.861
: 444458853.0 2333 0.846
: 444458857.0 2057 0.847
: 444458858.0 4396 0.952
: 444458860.0 2580 0.925
: 444458861.0 3353 0.953
: 444458862.0 2856 0.959
: 444458863.0 2121 0.920
: 444458864.0 2832 0.934
: 444458865.0 3289 0.967
: 444458886.0 2229 0.851
: 444458889.0 2222 0.847
: 444458892.0 2126 0.838
: 444458897.0 3810 0.921
: 444458902.0 2247 0.864
: 444458903.0 2198 0.877
: 444458904.0 2543 0.875
: 444458905.0 2592 0.904
: 444458906.0 3020 0.930
: 444458907.0 2585 0.928
: 444458909.0 2901 0.908
: 444458910.0 2450 0.912
: 444458911.0 3382 0.967
: 444458912.0 2672 0.952
: 444458913.0 2477 0.954
: 444458914.0 2569 0.944
: 444458915.0 2688 0.956
: 444458916.0 2531 0.987
: 444458917.0 2320 0.985
: 444458918.0 2451 0.993
: 444458919.0 2143 0.970
: 444458920.0 2446 0.957
: 444458921.0 2451 0.981
: 444458924.0 5378 0.979
: 444458925.0 2915 0.968
: 444458926.0 2001 0.930
: 444458927.0 3394 0.965
: 444458928.0 2659 0.997
: 444458929.0 2159 1.000
: 444458930.0 2540 0.967
: 444458978.0 2914 0.893
: 444458982.0 2187 0.860
: 444458985.0 2075 0.842
: 444458993.0 2045 0.840
: 444458995.0 2364 0.860
: 444458996.0 2244 0.865
: 444458997.0 3050 0.920
: 444458998.0 2634 0.880
: 444458999.0 2277 0.891
: 444459000.0 2574 0.903
: 444459001.0 2464 0.909
: 444459003.0 2154 0.844
: 444459007.0 2174 0.848
: 444459013.0 2423 0.867
: 444459014.0 3295 0.926
: 444459015.0 2983 0.931
: 444459016.0 2992 0.939
: 444459017.0 3011 0.942
: 444459027.0 2004 0.842
: 444459037.0 3092 0.899
: 444459039.0 2828 0.877
: 444459040.0 2280 0.917
: 444459041.0 2939 0.913
: 444459042.0 2481 0.910
: 444459059.0 2617 0.919
: 444459065.0 2131 0.844
: 444459074.0 2483 0.866
: 444459077.0 2167 0.841
: 444459078.0 3680 0.938
: 444459079.0 3154 0.939
: 444459171.0 3693 0.924
: 444459245.0 3577 0.916
: 444459270.0 3780 0.925
: 444459272.0 3823 0.931
: 444459273.0 2842 0.969
: 444459274.0 2816 0.980
: 444459275.0 2732 0.968
: 444459276.0 2860 0.981
: 444459277.0 2849 0.976
: 444459278.0 2822 0.972
: 444459279.0 2744 0.973
: 444459280.0 2845 0.981
: 444459282.0 2050 0.862
: 444459320.0 2109 0.859
: 444459374.0 2726 0.910
: 444459376.0 2858 0.886
: 444459377.0 2108 0.893
: 444459378.0 2329 0.875
: 444459381.0 2324 0.868
: 444459425.0 2771 0.896
: 444459431.0 3326 0.919
: 444459439.0 2139 0.862
: 444459459.0 2165 0.856
: 444459469.0 2061 0.859
: 444459476.0 4686 0.939
: 444459478.0 2014 0.838
: 444459479.0 2549 0.886
: 444459484.0 2190 0.856
: 444459510.0 2053 0.840
: 444459512.0 2011 0.828
: 444459565.0 2006 0.833
: 444459582.0 2945 0.919
Total number of 1 second bins: 7506
Bins with >0 counts : 6412
Bins with >2000 counts : 360
360 of 360 high count rate bins were dominated by noise
Noise dominated 4.80% of total time, 5.61% of detector on time (defined as non-zero counts)