Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 438169925.0 2406 0.867
: 438169932.0 2211 0.943
: 438171163.0 4350 0.947
Total number of 1 second bins: 7639
Bins with >0 counts : 7639
Bins with >2000 counts : 3
3 of 3 high count rate bins were dominated by noise
Noise dominated 0.04% of total time, 0.04% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 438168518.0 2132 0.875
: 438169004.0 2003 0.847
: 438169016.0 2026 0.911
Total number of 1 second bins: 7639
Bins with >0 counts : 7639
Bins with >2000 counts : 3
3 of 3 high count rate bins were dominated by noise
Noise dominated 0.04% of total time, 0.04% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 438166140.0 2215 0.855
: 438167144.0 2587 0.882
: 438167146.0 2495 0.865
: 438167153.0 2324 0.909
: 438167917.0 3417 0.901
: 438167923.0 2026 0.846
: 438167929.0 2288 0.931
: 438167932.0 2216 0.866
: 438167963.0 2417 0.850
: 438168675.0 2757 0.895
: 438169105.0 2976 0.914
: 438169898.0 2460 0.875
: 438170214.0 2716 0.874
: 438170236.0 2659 0.883
: 438170264.0 2187 0.824
: 438170284.0 2234 0.855
: 438170955.0 2856 0.881
: 438171044.0 2467 0.841
: 438171086.0 2601 0.928
: 438171091.0 4277 0.929
: 438171393.0 2379 0.689
: 438171515.0 3001 0.746
: 438171556.0 2186 0.743
: 438171559.0 3391 0.883
: 438171573.0 2509 0.788
: 438171730.0 2221 0.833
: 438171942.0 2056 0.800
: 438171969.0 2869 0.879
: 438172007.0 3133 0.922
: 438172008.0 2731 0.949
: 438172011.0 3205 0.897
: 438172014.0 2247 0.838
: 438172015.0 2614 0.863
: 438172016.0 2871 0.927
: 438172019.0 2465 0.843
: 438172021.0 3729 0.944
: 438172130.0 2399 0.853
: 438172133.0 2111 0.785
: 438172134.0 2030 0.903
: 438172163.0 2189 0.831
: 438172287.0 3343 0.873
: 438172458.0 2048 0.846
: 438172461.0 2098 0.887
: 438173211.0 4983 0.935
Total number of 1 second bins: 7638
Bins with >0 counts : 7638
Bins with >2000 counts : 44
44 of 44 high count rate bins were dominated by noise
Noise dominated 0.58% of total time, 0.58% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 438165631.0 2465 0.872
: 438165635.0 2257 0.919
: 438165637.0 2170 0.851
: 438165638.0 2415 0.911
: 438165658.0 2216 0.909
: 438165708.0 2147 0.862
: 438165709.0 2544 0.865
: 438165814.0 2109 0.881
: 438165838.0 2385 0.852
: 438165865.0 4551 0.938
: 438166334.0 2961 0.880
: 438166350.0 2274 0.869
: 438166351.0 2320 0.926
: 438166360.0 2303 0.850
: 438166361.0 2523 0.959
: 438166391.0 3286 0.921
: 438166392.0 2040 0.937
: 438166687.0 2276 0.870
: 438166971.0 2038 0.840
: 438166978.0 3294 0.910
: 438167013.0 2031 0.830
: 438167015.0 2398 0.889
: 438167016.0 2391 0.892
: 438167017.0 2535 0.893
: 438167018.0 2740 0.909
: 438167022.0 2433 0.867
: 438167028.0 2509 0.872
: 438167031.0 2280 0.871
: 438167036.0 2134 0.889
: 438167068.0 2191 0.889
: 438167076.0 2543 0.894
: 438167078.0 2163 0.831
: 438167081.0 2177 0.852
: 438167107.0 2014 0.832
: 438167110.0 2002 0.810
: 438167144.0 2306 0.853
: 438167146.0 2327 0.941
: 438167149.0 3977 0.939
: 438167174.0 2078 0.848
: 438167175.0 2240 0.935
: 438167183.0 3808 0.947
: 438167184.0 2279 0.952
: 438167185.0 3289 0.950
: 438167488.0 2842 0.917
: 438167492.0 3525 0.965
: 438167493.0 2323 0.975
: 438167508.0 2650 0.918
: 438167509.0 2437 0.985
: 438167529.0 2705 0.907
: 438167571.0 2332 0.873
: 438167572.0 2063 0.907
: 438167583.0 2099 0.917
: 438167586.0 2906 0.885
: 438167622.0 2113 0.847
: 438167682.0 3991 0.927
: 438167683.0 2638 1.000
: 438167706.0 2914 0.925
: 438167708.0 2343 0.869
: 438167710.0 2044 0.858
: 438167741.0 4070 0.967
: 438167784.0 2401 0.892
: 438167812.0 2225 0.866
: 438167872.0 4865 0.972
: 438167873.0 2072 0.959
: 438167874.0 2738 0.990
: 438167876.0 3038 0.936
: 438167877.0 2739 0.955
: 438167890.0 2318 0.883
: 438167892.0 3650 0.927
: 438167924.0 2356 0.846
: 438167925.0 2170 0.873
: 438167926.0 2684 0.869
: 438167928.0 2160 0.862
: 438167932.0 2306 0.860
: 438167933.0 2128 0.894
: 438167934.0 2559 0.910
: 438167935.0 2396 0.884
: 438167936.0 2797 0.908
: 438167937.0 2121 0.900
: 438167946.0 2081 0.838
: 438167951.0 2489 0.884
: 438168003.0 2012 0.855
: 438168125.0 2876 0.931
: 438168214.0 2420 0.910
: 438168309.0 2407 0.941
: 438168315.0 2235 0.859
: 438168319.0 2859 0.943
: 438168359.0 2148 0.849
: 438168434.0 2167 0.850
: 438168477.0 3868 0.941
: 438168478.0 2646 0.967
: 438168479.0 3310 0.979
: 438168481.0 3157 0.978
: 438168487.0 3163 0.955
: 438168489.0 2945 0.912
: 438168567.0 2202 0.847
: 438168568.0 2823 0.998
: 438168570.0 2166 1.000
: 438168573.0 4047 0.963
: 438168575.0 2640 0.988
: 438168578.0 2526 0.970
: 438168580.0 2221 0.997
: 438168605.0 2032 0.877
: 438168611.0 2953 0.915
: 438168635.0 3561 0.926
: 438168682.0 2297 0.904
: 438168683.0 2372 0.925
: 438168684.0 2555 1.000
: 438168716.0 4185 0.947
: 438168830.0 2492 0.882
: 438168897.0 3193 0.915
: 438168900.0 3895 0.943
: 438168908.0 2268 0.884
: 438168912.0 2327 0.926
: 438168914.0 2070 0.873
: 438168927.0 2656 0.906
: 438168928.0 2512 0.957
: 438168959.0 2601 0.950
: 438168961.0 2044 0.893
: 438168962.0 3773 0.946
: 438168966.0 3123 0.902
: 438168979.0 3091 0.991
: 438168984.0 3282 0.940
: 438168985.0 2748 0.943
: 438169019.0 3714 0.940
: 438169031.0 3012 0.971
: 438169034.0 3614 0.939
: 438169041.0 3111 0.994
: 438169043.0 2951 0.988
: 438169045.0 2790 0.982
: 438169052.0 2646 0.981
: 438169058.0 2322 0.930
: 438169082.0 3091 0.992
: 438169088.0 3512 0.995
: 438169090.0 3965 0.969
: 438169092.0 2459 0.916
: 438169099.0 2793 0.998
: 438169101.0 2606 0.980
: 438169107.0 2088 1.000
: 438169109.0 2223 0.876
: 438169111.0 3265 0.964
: 438169113.0 2972 0.974
: 438169121.0 3550 0.954
: 438169123.0 2634 0.975
: 438169125.0 2348 0.880
: 438169137.0 2083 0.852
: 438169156.0 3779 0.956
: 438169165.0 2587 0.973
: 438169171.0 2188 0.989
: 438169179.0 3168 0.977
: 438169186.0 2497 0.924
: 438169191.0 3468 0.987
: 438169193.0 2583 1.000
: 438169194.0 2469 1.000
: 438169203.0 2834 0.909
: 438169205.0 2837 0.970
: 438169209.0 2222 0.875
: 438169210.0 2191 0.942
: 438169211.0 2623 0.936
: 438169215.0 2453 0.894
: 438169217.0 3191 0.950
: 438169222.0 2268 0.958
: 438169235.0 2254 0.877
: 438169237.0 2858 0.919
: 438169250.0 3720 0.964
: 438169259.0 3533 0.955
: 438169261.0 2382 0.983
: 438169263.0 2999 0.993
: 438169267.0 2604 0.928
: 438169279.0 2222 0.945
: 438169280.0 2085 0.928
: 438169281.0 2345 0.969
: 438169282.0 2058 1.000
: 438169284.0 2585 0.972
: 438169287.0 2243 1.000
: 438169290.0 2094 0.855
: 438169291.0 2713 0.891
: 438169293.0 2011 0.847
: 438169296.0 2023 0.897
: 438169297.0 2427 0.906
: 438169299.0 4693 0.977
: 438169301.0 2565 0.961
: 438169302.0 3358 0.976
: 438169304.0 2198 1.000
: 438169309.0 2696 0.928
: 438169314.0 2033 0.998
: 438169319.0 2356 1.000
: 438169320.0 2102 1.000
: 438169322.0 3705 0.983
: 438169331.0 2282 0.876
: 438169333.0 2492 0.915
: 438169341.0 2161 0.876
: 438169356.0 2095 0.953
: 438169358.0 3243 0.947
: 438169359.0 2784 0.925
: 438169360.0 2931 0.976
: 438169361.0 2615 0.971
: 438169362.0 3410 0.973
: 438169364.0 2707 0.948
: 438169365.0 2412 0.955
: 438169366.0 2870 0.930
: 438169367.0 2429 0.928
: 438169369.0 2070 0.863
: 438169370.0 2715 0.913
: 438169373.0 4180 0.927
: 438169374.0 2541 0.966
: 438169377.0 2260 0.878
: 438169378.0 2484 0.895
: 438169379.0 2373 0.931
: 438169380.0 2860 0.909
: 438169381.0 2217 0.905
: 438169382.0 2369 0.886
: 438169383.0 2856 0.933
: 438169384.0 3452 0.966
: 438169472.0 2050 0.847
: 438169475.0 3069 0.906
: 438169479.0 2063 0.841
: 438169637.0 2354 0.870
: 438169638.0 2938 0.933
: 438169639.0 2289 0.933
: 438169646.0 3102 0.923
: 438169697.0 2085 0.867
: 438169698.0 2899 0.892
: 438169846.0 3201 0.910
: 438169848.0 2163 0.926
: 438169874.0 2912 0.897
: 438169911.0 2482 0.917
: 438169912.0 2545 0.918
: 438169913.0 2500 0.894
: 438169914.0 2246 0.884
: 438169915.0 3006 0.856
: 438169920.0 2242 0.870
: 438169922.0 3251 0.945
: 438169929.0 2245 0.858
: 438169979.0 2546 0.904
: 438169980.0 2648 0.929
: 438169981.0 2915 0.952
: 438169982.0 2123 0.933
: 438170020.0 2042 0.857
: 438170021.0 2656 0.911
: 438170022.0 2278 0.907
: 438170024.0 2375 0.924
: 438170025.0 2197 0.863
: 438170026.0 3641 0.926
: 438170034.0 3420 0.925
: 438170036.0 2928 0.898
: 438170038.0 2654 0.901
: 438170041.0 2378 0.876
: 438170044.0 3185 0.922
: 438170045.0 2596 0.916
: 438170058.0 3205 0.890
: 438170060.0 3289 0.907
: 438170070.0 3253 0.907
: 438170073.0 3449 0.921
: 438170074.0 2246 0.912
: 438170075.0 3060 0.920
: 438170077.0 3205 0.919
: 438170078.0 2362 0.930
: 438170079.0 2505 0.913
: 438170083.0 2746 0.875
: 438170087.0 3031 0.908
: 438170088.0 2168 0.872
: 438170089.0 3362 0.923
: 438170091.0 4134 0.945
: 438170093.0 2429 0.896
: 438170097.0 4164 0.935
: 438170104.0 2031 0.866
: 438170105.0 2524 0.895
: 438170106.0 2584 0.918
: 438170107.0 2020 0.897
: 438170108.0 2155 0.865
: 438170109.0 3191 0.932
: 438170111.0 2451 0.876
: 438170112.0 2887 0.921
: 438170113.0 2357 0.886
: 438170114.0 2278 0.903
: 438170115.0 2383 0.889
: 438170116.0 2776 0.933
: 438170117.0 2323 0.889
: 438170118.0 2733 0.892
: 438170119.0 2316 0.863
: 438170120.0 2447 0.892
: 438170121.0 2423 0.905
: 438170122.0 2060 0.847
: 438170123.0 2275 0.872
: 438170124.0 2492 0.897
: 438170133.0 2207 0.862
: 438170134.0 2155 0.846
: 438170142.0 2357 0.869
: 438170143.0 2624 0.899
: 438170144.0 2709 0.903
: 438170173.0 2076 0.858
: 438170285.0 3138 0.916
: 438170297.0 2287 0.864
: 438170298.0 2887 0.916
: 438170299.0 2882 0.940
: 438170605.0 4155 0.953
: 438170620.0 2088 0.830
: 438170635.0 2337 0.828
: 438170640.0 2778 0.892
: 438170641.0 3514 0.929
: 438170642.0 2346 0.957
: 438170643.0 2897 0.963
: 438170644.0 3334 0.959
: 438170756.0 2061 0.842
: 438170840.0 3168 0.894
: 438170842.0 2087 0.855
: 438171374.0 2291 0.759
: 438171378.0 2335 0.783
: 438171615.0 2208 0.731
: 438171619.0 2177 0.729
: 438171659.0 2055 0.732
: 438171675.0 2535 0.858
: 438171690.0 2569 0.847
: 438171692.0 2665 0.837
: 438171698.0 2428 0.865
: 438171705.0 2158 0.819
: 438171706.0 2359 0.851
: 438171709.0 2059 0.846
: 438171712.0 2244 0.816
: 438171961.0 2029 0.827
: 438172089.0 2186 0.860
: 438172090.0 2231 0.853
: 438172114.0 2942 0.893
: 438172115.0 2190 0.916
: 438172116.0 2168 0.885
: 438172117.0 2510 0.898
: 438172118.0 2020 0.875
: 438172119.0 3016 0.911
: 438172120.0 2747 0.905
: 438172121.0 2200 0.943
: 438172135.0 3228 0.897
: 438172136.0 2109 0.915
: 438172137.0 2086 0.889
: 438172138.0 2502 0.902
: 438172139.0 2269 0.895
: 438172140.0 2028 0.872
: 438172141.0 2351 0.910
: 438172142.0 2200 0.898
: 438172143.0 2404 0.860
: 438172144.0 2211 0.909
: 438172145.0 2483 0.899
: 438172146.0 3045 0.902
: 438172147.0 2239 0.899
: 438172149.0 2203 0.881
: 438172150.0 2031 0.820
: 438172151.0 2266 0.876
: 438172152.0 2300 0.869
: 438172155.0 2378 0.865
: 438172160.0 2142 0.818
: 438172161.0 2523 0.883
: 438172163.0 2114 0.860
: 438172164.0 2066 0.861
: 438172349.0 2478 0.871
: 438172562.0 2265 0.885
: 438172567.0 2968 0.903
: 438172571.0 2157 0.864
: 438172617.0 2820 0.918
: 438172618.0 2246 0.923
: 438172619.0 2509 0.910
: 438172620.0 2761 0.912
: 438172621.0 2202 0.927
: 438172622.0 2746 0.940
: 438172623.0 3261 0.959
: 438172624.0 2344 0.967
: 438172625.0 2216 0.923
: 438172626.0 2705 0.908
: 438172627.0 2927 0.920
: 438172628.0 2891 0.956
: 438172629.0 2739 0.947
: 438172630.0 2159 0.920
: 438172633.0 2886 0.871
: 438172634.0 2490 0.937
: 438172635.0 2437 0.916
: 438172636.0 2503 0.915
: 438172637.0 2445 0.911
: 438172638.0 2087 0.882
: 438172639.0 2999 0.930
: 438172640.0 2299 0.923
: 438172641.0 2479 0.928
: 438172642.0 2348 0.941
: 438172643.0 2486 0.932
: 438172644.0 2742 0.929
: 438172645.0 2350 0.927
: 438172646.0 2418 0.913
: 438172647.0 2190 0.839
: 438172649.0 3313 0.907
: 438172650.0 2872 0.923
: 438172651.0 2363 0.949
: 438172652.0 2569 0.951
: 438172653.0 2535 0.932
: 438172654.0 2884 0.924
: 438172655.0 2244 0.935
: 438172656.0 3572 0.941
: 438172720.0 2201 0.900
: 438172889.0 2401 0.858
: 438172891.0 2561 0.878
: 438172892.0 2266 0.889
: 438172896.0 2402 0.899
: 438172897.0 2129 0.846
: 438172898.0 2399 0.865
: 438172899.0 2494 0.871
: 438172900.0 2353 0.883
: 438172980.0 2213 0.858
: 438173030.0 2021 0.865
: 438173041.0 2238 0.853
: 438173208.0 3617 0.896
: 438173209.0 2988 0.963
: 438173210.0 3300 0.961
: 438173211.0 2264 0.970
: 438173212.0 3055 0.965
: 438173213.0 2944 0.972
: 438173215.0 2970 0.961
: 438173216.0 2788 0.970
: 438173217.0 2339 0.958
: 438173219.0 2732 0.896
: 438173220.0 3165 0.922
: 438173221.0 2852 0.958
: 438173259.0 2597 0.940
Total number of 1 second bins: 7638
Bins with >0 counts : 7638
Bins with >2000 counts : 419
419 of 419 high count rate bins were dominated by noise
Noise dominated 5.49% of total time, 5.49% of detector on time (defined as non-zero counts)