Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 436255571.0 2056 0.802
: 436255575.0 2508 0.851
: 436255578.0 2482 0.836
: 436255579.0 2846 0.874
: 436255581.0 2182 0.799
: 436255583.0 2222 0.788
: 436255584.0 2300 0.884
: 436255586.0 2485 0.825
: 436255592.0 2149 0.722
: 436255598.0 2234 0.742
: 436255599.0 2005 0.845
: 436255602.0 2268 0.807
: 436255605.0 2119 0.820
: 436255607.0 2191 0.812
: 436255608.0 2235 0.834
: 436255610.0 2274 0.852
: 436255613.0 2244 0.832
: 436255614.0 2346 0.861
: 436255617.0 2253 0.792
: 436255618.0 2234 0.785
: 436255620.0 2617 0.842
: 436255622.0 2437 0.863
: 436255623.0 2689 0.888
: 436255624.0 2510 0.898
: 436255625.0 2315 0.873
: 436255626.0 2274 0.883
: 436255627.0 2256 0.872
: 436255628.0 2605 0.874
: 436255629.0 2238 0.869
: 436255631.0 2327 0.833
: 436255633.0 2371 0.833
: 436255634.0 2714 0.882
: 436255641.0 2028 0.750
: 436256402.0 2100 0.845
Total number of 1 second bins: 2382
Bins with >0 counts : 1336
Bins with >2000 counts : 34
34 of 34 high count rate bins were dominated by noise
Noise dominated 1.43% of total time, 2.54% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
Total number of 1 second bins: 2382
Bins with >0 counts : 1340
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 2
: Time totcounts fraction
: 436254566.0 2790 0.866
: 436255723.0 2099 0.799
: 436255724.0 2034 0.832
: 436255780.0 2206 0.816
: 436255781.0 2404 0.862
: 436255786.0 3436 0.916
: 436255819.0 3910 0.970
: 436255820.0 2501 0.958
: 436255822.0 3495 0.944
: 436255823.0 2479 0.980
: 436255824.0 2824 0.967
: 436255825.0 2898 0.982
: 436255826.0 2397 0.969
: 436255828.0 3468 0.956
: 436255829.0 3632 0.919
: 436255830.0 2799 0.982
: 436255831.0 2743 0.986
: 436255833.0 3606 0.975
: 436255835.0 3864 0.966
: 436255836.0 2614 0.990
: 436255837.0 2590 0.978
: 436255839.0 3342 0.971
: 436255841.0 2503 0.924
: 436255842.0 3105 0.984
: 436255843.0 2569 0.988
: 436255844.0 2554 0.995
: 436255845.0 2283 0.981
: 436255847.0 4463 0.971
: 436255849.0 3403 0.961
: 436255850.0 2553 0.990
: 436255852.0 3943 0.918
: 436255853.0 2402 0.991
: 436255855.0 4249 0.936
: 436255857.0 3037 0.929
: 436255859.0 2099 0.804
: 436255860.0 4237 0.965
: 436255862.0 3270 0.934
: 436255863.0 2672 0.949
: 436255864.0 2480 0.894
: 436255865.0 3290 0.918
: 436255867.0 3836 0.916
: 436255869.0 4039 0.946
: 436255871.0 3756 0.964
: 436255873.0 3611 0.968
: 436255874.0 2656 0.976
: 436255875.0 2588 0.971
: 436255876.0 2741 0.994
: 436255878.0 4184 0.963
: 436255881.0 4154 0.928
: 436255884.0 2773 0.856
: 436255887.0 3945 0.949
: 436255889.0 4255 0.964
: 436255891.0 4741 0.924
: 436255892.0 2496 0.986
: 436255893.0 2634 0.981
: 436255894.0 2016 0.962
: 436255895.0 2593 0.966
: 436255898.0 2864 0.863
: 436255899.0 2158 0.924
: 436255900.0 2687 0.920
: 436255902.0 4900 0.957
: 436255903.0 2698 0.992
: 436255904.0 2450 0.998
: 436255906.0 3180 0.967
: 436255907.0 2807 0.986
: 436255908.0 2556 0.999
: 436255909.0 2320 0.994
: 436255910.0 2707 0.986
: 436255911.0 2077 0.949
: 436255913.0 4800 0.981
: 436255917.0 3895 0.960
: 436255918.0 3822 0.980
: 436255920.0 3102 0.907
: 436255921.0 3771 0.969
: 436255922.0 2236 0.953
: 436255923.0 2657 0.963
: 436255924.0 2897 0.969
: 436255926.0 2420 0.906
: 436255927.0 3658 0.921
: 436255928.0 3418 0.977
: 436255930.0 3333 0.916
: 436255932.0 2437 0.839
: 436255933.0 2311 0.853
: 436255934.0 2571 0.884
: 436255935.0 2732 0.906
: 436255938.0 3088 0.863
: 436255939.0 2241 0.921
: 436255942.0 2505 0.852
: 436255944.0 2104 0.820
: 436255945.0 2142 0.785
: 436255947.0 2025 0.810
: 436255949.0 2684 0.887
: 436255950.0 2351 0.912
: 436255952.0 2342 0.836
: 436255954.0 2012 0.903
: 436255955.0 4388 0.936
: 436255957.0 3863 0.952
: 436255960.0 2450 0.847
: 436255961.0 2084 0.858
: 436255963.0 2079 0.879
: 436255965.0 2895 0.881
: 436255966.0 2806 0.900
: 436255967.0 3016 0.904
: 436255970.0 2733 0.876
: 436255972.0 2051 0.832
: 436255991.0 2228 0.835
: 436255992.0 2129 0.891
: 436255995.0 2520 0.834
: 436255996.0 2271 0.888
: 436255998.0 2887 0.877
: 436256001.0 4646 0.952
: 436256002.0 2369 0.962
: 436256004.0 4865 0.964
: 436256005.0 2545 0.976
: 436256007.0 2857 0.921
: 436256008.0 2783 0.954
: 436256009.0 2612 0.956
: 436256013.0 2970 0.882
: 436256014.0 2665 0.901
: 436256016.0 2270 0.826
: 436256017.0 4468 0.933
: 436256019.0 4184 0.973
: 436256024.0 3226 0.900
: 436256027.0 2838 0.890
: 436256028.0 2189 0.840
: 436256034.0 2166 0.905
: 436256035.0 3171 0.912
: 436256036.0 2749 0.907
: 436256037.0 3680 0.964
: 436256039.0 3574 0.967
: 436256040.0 2118 0.957
: 436256041.0 2485 0.957
: 436256043.0 3063 0.940
: 436256045.0 4235 0.931
: 436256046.0 2678 0.967
: 436256047.0 3092 0.970
: 436256048.0 3086 0.989
: 436256050.0 4453 0.952
: 436256051.0 2882 0.990
: 436256052.0 2770 0.987
: 436256053.0 2132 0.962
: 436256054.0 2187 0.952
: 436256055.0 3012 0.941
: 436256057.0 2189 0.879
: 436256059.0 3403 0.910
: 436256060.0 3238 0.929
: 436256061.0 2234 0.941
: 436256062.0 3598 0.947
: 436256063.0 2604 0.970
: 436256064.0 2447 0.964
: 436256066.0 3212 0.912
: 436256067.0 2771 0.922
: 436256068.0 3727 0.973
: 436256070.0 2434 0.936
: 436256071.0 2171 0.904
: 436256072.0 3447 0.960
: 436256073.0 3693 0.963
: 436256075.0 4232 0.972
: 436256076.0 2943 0.985
: 436256077.0 2781 0.982
: 436256078.0 2864 0.990
: 436256079.0 2544 0.980
: 436256080.0 2803 0.983
: 436256081.0 2225 0.959
: 436256082.0 2255 0.950
: 436256084.0 4295 0.963
: 436256085.0 3442 0.979
: 436256086.0 2131 0.964
: 436256087.0 2805 0.951
: 436256088.0 2040 0.943
: 436256089.0 2976 0.952
: 436256091.0 2484 0.907
: 436256092.0 2195 0.806
: 436256093.0 3143 0.934
: 436256094.0 2453 0.906
: 436256095.0 3047 0.955
: 436256097.0 3160 0.936
: 436256099.0 3550 0.892
: 436256100.0 2427 0.945
: 436256102.0 2770 0.940
: 436256103.0 3111 0.961
: 436256104.0 2558 0.963
: 436256105.0 2661 0.946
: 436256106.0 3067 0.964
: 436256107.0 3354 0.955
: 436256108.0 2349 0.970
: 436256109.0 3096 0.971
: 436256111.0 2041 0.913
: 436256112.0 2466 0.895
: 436256114.0 2678 0.861
: 436256115.0 2464 0.918
: 436256116.0 2252 0.797
: 436256117.0 2445 0.950
: 436256118.0 3290 0.934
: 436256121.0 4811 0.974
: 436256122.0 2927 0.980
: 436256123.0 2886 0.983
: 436256124.0 2767 0.977
: 436256125.0 2788 0.978
: 436256127.0 3448 0.958
: 436256128.0 2552 0.984
: 436256130.0 2548 0.903
: 436256132.0 2419 0.850
: 436256133.0 2919 0.879
: 436256134.0 2500 0.942
: 436256135.0 2417 0.942
: 436256136.0 3334 0.942
: 436256138.0 4629 0.965
: 436256139.0 2283 0.965
: 436256140.0 2396 0.962
: 436256142.0 2305 0.813
: 436256144.0 3057 0.883
: 436256146.0 2444 0.865
: 436256147.0 2422 0.905
: 436256148.0 3717 0.940
: 436256149.0 2813 0.967
: 436256150.0 3091 0.979
: 436256151.0 2577 0.968
: 436256152.0 2911 0.974
: 436256154.0 3500 0.967
: 436256155.0 2492 0.974
: 436256156.0 2163 0.968
: 436256157.0 3079 0.975
: 436256159.0 2574 0.911
: 436256160.0 2258 0.892
: 436256161.0 3197 0.906
: 436256162.0 2876 0.943
: 436256164.0 2555 0.854
: 436256165.0 2379 0.834
: 436256166.0 2659 0.939
: 436256167.0 2342 0.910
: 436256172.0 2046 0.815
: 436256177.0 2242 0.840
: 436256179.0 2119 0.827
: 436256180.0 2574 0.886
: 436256181.0 4015 0.923
: 436256182.0 2033 0.948
: 436256183.0 4476 0.969
: 436256184.0 2193 0.964
: 436256185.0 2168 0.950
: 436256186.0 3101 0.962
: 436256187.0 2419 0.965
: 436256188.0 2166 0.936
: 436256189.0 4196 0.957
: 436256191.0 4198 0.968
: 436256192.0 2767 0.991
: 436256193.0 2611 0.972
: 436256194.0 2537 0.993
: 436256195.0 2388 0.986
: 436256196.0 2514 0.987
: 436256197.0 2457 0.998
: 436256198.0 2290 1.000
: 436256199.0 2275 0.971
: 436256201.0 2002 1.000
: 436256202.0 2227 1.000
: 436256226.0 2034 0.989
: 436256229.0 2451 0.987
: 436256235.0 2022 0.947
: 436256244.0 2905 0.995
: 436256253.0 2197 0.988
: 436256259.0 2248 0.988
: 436256277.0 2752 0.981
: 436256278.0 2064 0.982
: 436256279.0 2052 0.979
: 436256284.0 2470 0.993
: 436256286.0 3380 0.970
: 436256287.0 2833 0.988
: 436256290.0 2116 1.000
: 436256292.0 3708 0.982
: 436256293.0 2380 0.995
: 436256294.0 2323 1.000
: 436256295.0 2491 1.000
: 436256297.0 2525 0.995
: 436256298.0 2233 0.997
: 436256300.0 2923 0.984
: 436256302.0 2952 0.968
: 436256303.0 2709 0.992
: 436256304.0 2765 0.997
: 436256305.0 2690 0.991
: 436256306.0 2765 0.981
: 436256307.0 2258 0.970
: 436256308.0 2549 0.950
: 436256309.0 3596 0.985
: 436256310.0 2746 0.976
: 436256313.0 3743 0.991
: 436256315.0 2735 0.936
: 436256316.0 2356 0.945
: 436256317.0 3506 0.908
: 436256318.0 3744 0.974
: 436256319.0 2788 0.977
: 436256320.0 2882 0.997
: 436256322.0 3880 0.974
: 436256323.0 2836 0.986
: 436256325.0 4907 0.954
: 436256327.0 3903 0.953
: 436256329.0 2242 0.940
: 436256330.0 2421 0.935
: 436256331.0 3002 0.947
: 436256333.0 2272 0.816
: 436256334.0 2505 0.946
: 436256335.0 2526 0.907
: 436256336.0 2326 0.889
: 436256337.0 2249 0.900
: 436256338.0 3681 0.935
: 436256340.0 3796 0.947
: 436256341.0 2145 0.960
: 436256342.0 2499 0.944
: 436256343.0 2059 0.901
: 436256344.0 2674 0.950
: 436256345.0 2227 0.923
: 436256349.0 2238 0.849
: 436256350.0 2708 0.921
: 436256352.0 2901 0.880
: 436256353.0 2602 0.903
: 436256355.0 2182 0.843
: 436256356.0 2355 0.880
: 436256362.0 3023 0.900
: 436256363.0 2038 0.828
: 436256366.0 2480 0.873
: 436256367.0 3206 0.931
: 436256376.0 2304 0.839
: 436256379.0 2065 0.868
: 436256380.0 2744 0.912
: 436256382.0 2183 0.839
: 436256383.0 2153 0.839
: 436256384.0 2038 0.861
: 436256385.0 2445 0.878
: 436256386.0 2579 0.908
: 436256387.0 2581 0.864
: 436256388.0 2044 0.806
: 436256396.0 2061 0.829
: 436256397.0 2585 0.861
: 436256400.0 2031 0.801
: 436256402.0 2196 0.858
: 436256403.0 2162 0.840
: 436256404.0 2349 0.847
: 436256405.0 2058 0.840
: 436256436.0 2395 0.842
: 436256438.0 2229 0.834
: 436256439.0 2047 0.817
: 436256448.0 2156 0.850
: 436256449.0 3292 0.936
: 436256451.0 2201 0.885
: 436256452.0 2514 0.857
: 436256467.0 2056 0.839
: 436256471.0 3834 0.951
: 436256472.0 2028 0.928
: 436256474.0 2180 0.898
: 436256475.0 2877 0.884
: 436256476.0 2677 0.948
: 436256477.0 3416 0.964
: 436256478.0 2731 0.962
: 436256481.0 2588 0.879
: 436256484.0 2007 0.906
: 436256485.0 3519 0.941
: 436256486.0 2360 0.908
: 436256487.0 2558 0.916
: 436256489.0 2919 0.912
: 436256490.0 3113 0.923
: 436256491.0 2114 0.926
: 436256493.0 2282 0.848
: 436256496.0 2203 0.826
: 436256502.0 2068 0.838
: 436256503.0 2204 0.850
: 436256504.0 2138 0.829
: 436256510.0 2692 0.862
: 436256526.0 2284 0.839
: 436256555.0 2503 0.861
: 436256556.0 2713 0.934
: 436256559.0 2847 0.874
: 436256560.0 2882 0.931
: 436256561.0 2474 0.902
: 436256562.0 2302 0.908
: 436256563.0 2276 0.906
: 436256573.0 2839 0.914
: 436256574.0 2511 0.899
: 436256575.0 2300 0.899
: 436256576.0 2698 0.894
: 436256578.0 2888 0.895
: 436256579.0 2730 0.883
: 436256581.0 2676 0.905
: 436256582.0 2183 0.875
: 436256583.0 2136 0.818
: 436256585.0 2986 0.941
: 436256586.0 2181 0.854
: 436256587.0 2673 0.895
: 436256589.0 2506 0.888
: 436256590.0 2595 0.898
: 436256591.0 2880 0.924
: 436256593.0 3024 0.932
: 436256594.0 2295 0.892
: 436256595.0 2218 0.860
: 436256596.0 2780 0.897
: 436256597.0 2759 0.910
: 436256599.0 2424 0.925
: 436256600.0 2142 0.831
: 436256601.0 2054 0.845
: 436256610.0 2409 0.866
: 436256613.0 2378 0.866
: 436256614.0 2048 0.823
: 436256621.0 2986 0.872
: 436256622.0 3015 0.936
: 436256623.0 2547 0.927
: 436256626.0 2030 0.863
: 436256627.0 2739 0.870
: 436256628.0 2278 0.852
: 436256630.0 2397 0.872
: 436256631.0 2241 0.840
: 436256634.0 2054 0.806
: 436256635.0 2397 0.890
: 436256636.0 2413 0.884
: 436256638.0 2501 0.865
: 436256641.0 2697 0.874
: 436256642.0 2576 0.872
: 436256643.0 2428 0.891
: 436256644.0 2497 0.875
: 436256646.0 2066 0.830
: 436256650.0 2675 0.876
: 436256651.0 2116 0.854
: 436256652.0 2125 0.831
: 436256653.0 2055 0.849
: 436256655.0 2594 0.872
: 436256657.0 2099 0.825
: 436256666.0 2226 0.835
: 436256667.0 2393 0.838
: 436256668.0 2180 0.898
: 436256675.0 2100 0.827
: 436256677.0 2212 0.860
: 436256687.0 3345 0.929
: 436256688.0 2963 0.941
: 436256691.0 2998 0.886
: 436256693.0 2379 0.866
: 436256694.0 3002 0.916
: 436256696.0 2145 0.825
: 436256706.0 2502 0.877
: 436256707.0 2741 0.952
: 436256754.0 2044 0.844
: 436256785.0 2024 0.831
: 436256786.0 2310 0.874
: 436256787.0 2349 0.893
: 436256791.0 3155 0.886
: 436256807.0 2049 0.816
: 436256808.0 2099 0.856
: 436256811.0 2824 0.864
: 436256843.0 2327 0.868
: 436256844.0 2266 0.825
: 436256845.0 2037 0.825
: 436256849.0 2730 0.884
: 436256904.0 2436 0.976
: 436256911.0 2592 0.900
: 436256912.0 2273 0.869
: 436256913.0 2696 0.919
: 436256914.0 2554 0.926
: 436256915.0 2047 0.880
: 436256916.0 2675 0.870
: 436256919.0 2452 0.874
: 436256926.0 2114 0.889
Total number of 1 second bins: 2381
Bins with >0 counts : 1328
Bins with >2000 counts : 457
457 of 457 high count rate bins were dominated by noise
Noise dominated 19.19% of total time, 34.41% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 436255572.0 2120 0.793
: 436255594.0 2743 0.786
: 436255595.0 2717 0.919
: 436255596.0 2267 0.966
: 436255612.0 2813 0.817
: 436255660.0 2523 0.832
: 436255666.0 2458 0.817
: 436255726.0 2533 0.859
: 436255778.0 3064 0.874
: 436255779.0 2397 0.874
: 436255781.0 2241 0.842
: 436255782.0 2148 0.845
: 436255783.0 3105 0.910
: 436255784.0 2126 0.873
: 436255787.0 2197 0.824
: 436255800.0 2460 0.819
: 436255902.0 3160 0.899
: 436255920.0 2284 0.837
: 436255924.0 2055 0.807
: 436255946.0 2636 0.875
: 436255947.0 2795 0.916
: 436255965.0 2121 0.820
: 436256000.0 2261 0.844
: 436256242.0 2032 0.836
: 436256348.0 2006 0.837
: 436256366.0 2383 0.871
: 436256368.0 2297 0.878
: 436256385.0 2340 0.838
: 436256390.0 2297 0.817
: 436256395.0 2043 0.855
: 436256415.0 2530 0.921
: 436256833.0 3480 0.922
Total number of 1 second bins: 2381
Bins with >0 counts : 1344
Bins with >2000 counts : 32
32 of 32 high count rate bins were dominated by noise
Noise dominated 1.34% of total time, 2.38% of detector on time (defined as non-zero counts)