Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 456175268.0 2248 0.923
: 456175269.0 2014 0.830
: 456175273.0 2052 0.860
: 456175275.0 2126 0.864
: 456175277.0 2023 0.887
: 456175278.0 2472 0.997
: 456175279.0 2456 1.000
: 456175280.0 2341 0.977
: 456175295.0 2195 0.902
: 456175296.0 2484 0.914
: 456175297.0 2417 0.939
: 456175299.0 2182 0.832
: 456175300.0 2455 0.921
: 456175309.0 2357 0.794
: 456175311.0 2134 0.795
: 456175313.0 2174 0.824
: 456175316.0 2128 0.859
: 456175319.0 2027 0.801
: 456175325.0 2138 0.775
: 456175330.0 2170 0.796
: 456175331.0 2847 0.975
: 456175332.0 2477 0.964
: 456175333.0 2458 1.000
: 456175334.0 2546 1.000
: 456175335.0 2721 0.975
: 456175336.0 2680 0.943
: 456175337.0 2460 0.907
: 456175339.0 2205 0.779
: 456175340.0 2530 0.909
: 456175341.0 2565 0.904
: 456175343.0 2012 0.761
: 456175344.0 2117 0.819
: 456175348.0 2302 0.819
: 456177291.0 2990 0.875
: 456177357.0 4259 0.952
: 456177358.0 2621 0.973
: 456177359.0 2635 0.967
: 456177360.0 2630 0.959
: 456177361.0 2653 0.966
: 456177362.0 2688 0.970
: 456177365.0 3698 0.956
: 456177366.0 2456 0.954
: 456177367.0 2713 0.946
: 456177368.0 2739 0.961
: 456177369.0 2825 0.955
: 456177370.0 2567 0.949
: 456177371.0 2487 0.930
: 456177375.0 2056 0.844
: 456177385.0 3716 0.937
: 456177386.0 2836 0.969
: 456177387.0 2786 0.979
: 456177388.0 2581 0.969
: 456177389.0 2786 0.958
: 456177390.0 2914 0.975
: 456177391.0 2782 0.961
: 456177392.0 2575 0.956
: 456177393.0 2740 0.966
: 456177394.0 2802 0.963
: 456177395.0 2818 0.969
: 456177396.0 2813 0.970
: 456177397.0 2807 0.984
: 456177398.0 2583 0.957
: 456177399.0 2702 0.959
: 456177400.0 2815 0.968
: 456177402.0 2135 0.868
: 456177403.0 2162 0.846
: 456177406.0 2053 0.827
: 456180695.0 2590 0.862
: 456181563.0 2347 0.918
: 456181564.0 2207 0.857
: 456181565.0 2006 0.855
: 456181567.0 2106 0.858
: 456181569.0 2045 0.800
: 456181570.0 2031 0.821
: 456181583.0 2076 0.792
: 456181591.0 2002 0.755
: 456181598.0 2126 0.788
: 456181620.0 2153 0.825
: 456181624.0 2206 0.790
: 456181626.0 2030 0.766
: 456181632.0 2031 0.773
Total number of 1 second bins: 13583
Bins with >0 counts : 12565
Bins with >2000 counts : 81
81 of 81 high count rate bins were dominated by noise
Noise dominated 0.60% of total time, 0.64% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 456170983.0 2728 0.920
: 456171356.0 2350 0.900
: 456171770.0 2027 0.851
: 456171795.0 3712 0.939
: 456172046.0 2663 0.897
: 456172048.0 3126 0.948
: 456172051.0 3665 0.955
: 456172085.0 2476 0.888
: 456172086.0 2260 0.882
: 456172087.0 2066 0.852
: 456173852.0 2916 0.877
: 456173906.0 3762 0.943
: 456174356.0 2030 0.851
: 456174457.0 2754 0.878
: 456175272.0 2095 0.778
: 456175673.0 2525 0.853
: 456175674.0 2771 0.960
: 456175675.0 2731 0.956
: 456175676.0 2716 0.957
: 456175677.0 2730 0.970
: 456175679.0 2010 0.872
: 456175680.0 2362 0.865
: 456177267.0 2062 0.863
: 456177700.0 2094 0.883
: 456177847.0 2027 0.900
: 456177936.0 2500 0.894
: 456177943.0 2633 0.896
: 456177946.0 2204 0.913
: 456177948.0 2972 0.917
: 456177949.0 2834 0.980
: 456177950.0 2588 0.973
: 456177951.0 2812 0.979
: 456177952.0 2728 0.954
: 456177953.0 2658 0.947
: 456177954.0 2412 0.993
: 456177955.0 2751 0.997
: 456177974.0 3126 0.910
: 456178734.0 2345 0.887
: 456178735.0 2259 0.948
: 456179184.0 2257 0.850
: 456179485.0 2122 0.854
: 456179487.0 2255 0.848
: 456179491.0 2880 0.884
: 456179501.0 3079 0.912
: 456181785.0 3135 0.892
: 456182631.0 2749 0.898
Total number of 1 second bins: 13583
Bins with >0 counts : 12565
Bins with >2000 counts : 46
46 of 46 high count rate bins were dominated by noise
Noise dominated 0.34% of total time, 0.37% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 456171188.0 3569 0.993
: 456171189.0 2274 1.000
: 456171190.0 2634 0.997
: 456171191.0 2640 1.000
: 456171467.0 2988 0.899
: 456171469.0 2124 0.837
: 456171539.0 2256 0.854
: 456171587.0 2012 0.838
: 456173543.0 2399 0.880
: 456174840.0 2740 0.926
: 456174845.0 2087 0.876
: 456174851.0 2136 0.801
: 456176286.0 2025 0.816
: 456176348.0 2447 0.852
: 456176352.0 2270 0.837
: 456179445.0 2205 0.875
: 456179446.0 2192 0.844
: 456179448.0 2777 0.891
: 456179449.0 2399 0.897
: 456179450.0 2410 0.891
: 456179451.0 2549 0.909
: 456179452.0 2212 0.874
: 456179453.0 2394 0.865
: 456179454.0 2505 0.877
: 456179455.0 2748 0.909
: 456179456.0 2859 0.932
: 456179600.0 3356 0.904
: 456179604.0 2100 0.833
: 456179605.0 2499 0.896
: 456179606.0 2685 0.903
: 456179607.0 2272 0.874
: 456179608.0 2692 0.891
: 456180288.0 2308 0.844
: 456180310.0 3165 0.863
: 456180312.0 2083 0.868
: 456180314.0 2168 0.825
: 456180332.0 2893 0.869
: 456180334.0 2184 0.831
: 456180335.0 2275 0.885
: 456180336.0 2391 0.857
: 456180344.0 2201 0.841
: 456180345.0 2613 0.867
: 456180348.0 2273 0.833
: 456180350.0 2104 0.815
: 456180355.0 2370 0.862
: 456180356.0 2168 0.884
: 456180359.0 2015 0.828
: 456180378.0 2221 0.828
: 456180383.0 2170 0.827
: 456180385.0 2144 0.853
: 456180387.0 2019 0.799
: 456180389.0 2076 0.795
: 456180392.0 2275 0.821
: 456180396.0 2450 0.859
: 456180398.0 3102 0.877
: 456180401.0 2458 0.854
: 456180458.0 2668 0.882
: 456180459.0 2473 0.916
: 456180460.0 2545 0.939
: 456180476.0 2841 0.878
: 456180485.0 3041 0.906
: 456180486.0 2705 0.947
: 456180487.0 2450 0.914
: 456180488.0 2216 0.897
: 456180489.0 2073 0.892
: 456180490.0 2463 0.893
: 456180491.0 2767 0.948
: 456182949.0 2033 0.848
Total number of 1 second bins: 13584
Bins with >0 counts : 12566
Bins with >2000 counts : 68
68 of 68 high count rate bins were dominated by noise
Noise dominated 0.50% of total time, 0.54% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 456169563.0 2600 0.964
: 456169564.0 2128 0.909
: 456169593.0 2198 0.848
: 456169594.0 2867 0.889
: 456169595.0 2526 0.945
: 456169600.0 3872 0.938
: 456169601.0 2210 0.927
: 456169603.0 2031 0.823
: 456169604.0 2863 0.909
: 456169610.0 2209 0.851
: 456169612.0 2715 0.879
: 456169621.0 2009 0.862
: 456169622.0 2267 0.887
: 456169650.0 3179 0.927
: 456169651.0 2032 0.884
: 456169652.0 2067 0.869
: 456169653.0 2064 0.916
: 456169657.0 2325 0.849
: 456169662.0 2620 0.858
: 456169663.0 2213 0.891
: 456169664.0 2421 0.904
: 456169665.0 2566 0.899
: 456169667.0 2891 0.934
: 456169671.0 2081 0.816
: 456169679.0 2819 0.868
: 456169681.0 2962 0.876
: 456169682.0 2521 0.933
: 456169683.0 2593 0.971
: 456169684.0 2464 0.932
: 456169688.0 2919 0.906
: 456169689.0 2251 0.916
: 456169691.0 3036 0.903
: 456169694.0 2675 0.876
: 456169695.0 2633 0.948
: 456169696.0 2241 0.934
: 456169697.0 2443 0.970
: 456169709.0 2054 0.862
: 456169751.0 2871 0.883
: 456169755.0 2802 0.883
: 456169756.0 2347 0.986
: 456169757.0 2068 0.909
: 456169758.0 2831 0.976
: 456169760.0 2855 0.871
: 456169762.0 2021 0.835
: 456169763.0 2212 0.861
: 456169766.0 3199 0.926
: 456169767.0 2198 0.913
: 456169768.0 2297 0.990
: 456169769.0 2407 0.922
: 456169771.0 3232 0.942
: 456169784.0 2850 0.865
: 456169805.0 2356 0.823
: 456169822.0 2738 0.878
: 456169824.0 2680 0.905
: 456169825.0 2393 0.953
: 456169826.0 2488 0.936
: 456169827.0 2689 0.940
: 456169828.0 2137 0.916
: 456169830.0 2451 0.857
: 456169831.0 2925 0.897
: 456169832.0 2391 0.890
: 456169833.0 2448 0.915
: 456169835.0 2427 0.900
: 456169836.0 3170 0.936
: 456169837.0 2701 0.954
: 456169839.0 2672 0.914
: 456169840.0 2281 0.915
: 456169841.0 2522 0.917
: 456169845.0 2251 0.837
: 456169848.0 3131 0.917
: 456169849.0 2275 0.903
: 456169852.0 2813 0.902
: 456169853.0 2536 0.931
: 456169855.0 2251 0.888
: 456169856.0 2019 0.858
: 456169859.0 2885 0.886
: 456169861.0 2389 0.856
: 456169862.0 2652 0.918
: 456169863.0 2143 0.898
: 456169864.0 2292 0.912
: 456169865.0 2062 0.873
: 456169866.0 2482 0.927
: 456169867.0 2503 0.939
: 456169868.0 2300 0.890
: 456169870.0 2322 0.866
: 456169871.0 2111 0.860
: 456169872.0 2666 0.898
: 456169873.0 2215 0.904
: 456169874.0 2613 0.953
: 456169875.0 2634 0.937
: 456169877.0 2043 0.897
: 456169878.0 2420 0.900
: 456169880.0 2024 0.850
: 456169881.0 2152 0.844
: 456169882.0 2153 0.820
: 456169886.0 2329 0.863
: 456169889.0 2281 0.848
: 456169891.0 2253 0.854
: 456169892.0 2122 0.861
: 456169893.0 2670 0.898
: 456169895.0 2043 0.861
: 456169897.0 3760 0.934
: 456169898.0 2594 0.923
: 456169899.0 2369 0.901
: 456169900.0 2407 0.921
: 456169901.0 2571 0.936
: 456169902.0 2280 0.914
: 456169903.0 2151 0.900
: 456169904.0 2469 0.944
: 456169905.0 2095 0.929
: 456169908.0 2641 0.872
: 456169910.0 3367 0.909
: 456169911.0 2075 0.903
: 456169912.0 2914 0.952
: 456169913.0 2250 0.895
: 456169916.0 2137 0.846
: 456169940.0 2485 0.841
: 456169942.0 2207 0.858
: 456169945.0 2101 0.850
: 456169946.0 2228 0.877
: 456169948.0 2144 0.839
: 456169949.0 2932 0.892
: 456169950.0 2262 0.910
: 456169951.0 2459 0.914
: 456169952.0 2366 0.924
: 456169953.0 2251 0.912
: 456169956.0 2310 0.845
: 456169957.0 2876 0.904
: 456169958.0 2592 0.941
: 456169959.0 2576 0.950
: 456169960.0 2165 0.906
: 456169961.0 2566 0.945
: 456169962.0 2680 0.960
: 456169963.0 2533 0.932
: 456169964.0 2364 0.971
: 456169965.0 2239 0.908
: 456169966.0 2568 0.952
: 456169967.0 2273 0.898
: 456169969.0 2655 0.869
: 456169973.0 2037 0.834
: 456169979.0 2511 0.867
: 456169980.0 2306 0.868
: 456169981.0 2024 0.886
: 456169983.0 2863 0.880
: 456169985.0 2992 0.896
: 456169986.0 2234 0.865
: 456169987.0 2682 0.977
: 456169988.0 2539 0.970
: 456169989.0 2496 0.934
: 456169990.0 2685 0.944
: 456169992.0 3493 0.921
: 456169995.0 2718 0.919
: 456169996.0 2474 0.886
: 456169997.0 2783 0.920
: 456169999.0 2113 0.851
: 456170000.0 3190 0.877
: 456170001.0 2211 0.929
: 456170002.0 2665 0.973
: 456170003.0 2470 0.963
: 456170004.0 2570 0.964
: 456170005.0 2529 0.944
: 456170006.0 2483 0.933
: 456170007.0 2676 0.958
: 456170008.0 2284 0.933
: 456170009.0 2504 0.942
: 456170010.0 2040 0.890
: 456170012.0 2376 0.877
: 456170013.0 2852 0.874
: 456170014.0 2306 0.905
: 456170015.0 2590 0.924
: 456170016.0 2189 0.911
: 456170017.0 2639 0.956
: 456170018.0 2604 0.943
: 456170019.0 2620 0.927
: 456170021.0 2053 0.849
: 456170023.0 2137 0.853
: 456170024.0 2433 0.858
: 456170025.0 2247 0.870
: 456170027.0 2170 0.813
: 456170030.0 2147 0.844
: 456170042.0 2635 0.876
: 456170045.0 3459 0.927
: 456170046.0 2537 0.963
: 456170048.0 2700 0.988
: 456170049.0 2688 0.990
: 456170050.0 2817 0.981
: 456170051.0 2763 0.970
: 456170052.0 2645 0.971
: 456170053.0 2571 0.974
: 456170054.0 2763 0.989
: 456170055.0 2742 0.985
: 456170056.0 2810 0.955
: 456170057.0 2091 0.895
: 456170058.0 2331 0.914
: 456170060.0 2497 0.857
: 456170062.0 3064 0.941
: 456170063.0 2616 0.946
: 456170064.0 2763 0.961
: 456170065.0 2570 0.938
: 456170066.0 2401 0.942
: 456170067.0 2761 0.980
: 456170068.0 2725 0.969
: 456170069.0 2751 0.972
: 456170070.0 2668 0.955
: 456170071.0 2494 0.929
: 456170072.0 2479 0.945
: 456170073.0 2651 0.954
: 456170074.0 2745 0.986
: 456170075.0 2742 0.946
: 456170076.0 2596 0.956
: 456170077.0 2555 0.957
: 456170078.0 2481 0.924
: 456170079.0 2642 0.964
: 456170080.0 2615 0.946
: 456170081.0 2665 0.946
: 456170082.0 2508 0.947
: 456170083.0 2278 0.930
: 456170085.0 2417 0.869
: 456170087.0 3387 0.989
: 456170089.0 3216 0.929
: 456170090.0 2053 0.922
: 456170091.0 2486 0.928
: 456170092.0 2585 0.945
: 456170093.0 2065 0.886
: 456170094.0 2105 0.870
: 456170102.0 3798 0.967
: 456170103.0 2678 0.979
: 456170104.0 2688 0.984
: 456170109.0 2730 0.875
: 456170125.0 2838 0.889
: 456170178.0 2425 0.873
: 456170268.0 2185 0.871
: 456170270.0 2920 0.885
: 456170271.0 2912 0.920
: 456170277.0 2508 0.852
: 456170310.0 2663 0.905
: 456170311.0 2520 0.922
: 456170317.0 2499 0.851
: 456170320.0 2096 0.808
: 456170321.0 2341 0.852
: 456170323.0 2675 0.879
: 456170325.0 2229 0.878
: 456170421.0 2702 0.866
: 456170425.0 2180 0.844
: 456170433.0 2011 0.804
: 456170436.0 2241 0.874
: 456170437.0 2623 0.870
: 456170450.0 3133 0.897
: 456170458.0 2612 0.837
: 456170471.0 2809 0.892
: 456170472.0 2355 0.868
: 456170474.0 2402 0.878
: 456170475.0 2539 0.907
: 456170477.0 2834 0.895
: 456170479.0 2682 0.872
: 456170480.0 2141 0.876
: 456170483.0 2252 0.853
: 456170484.0 2176 0.873
: 456170485.0 2094 0.838
: 456170487.0 2809 0.875
: 456170489.0 2390 0.850
: 456170490.0 2162 0.883
: 456170491.0 2278 0.861
: 456170492.0 2646 0.897
: 456170494.0 2066 0.839
: 456170495.0 2751 0.918
: 456170497.0 2767 0.989
: 456170498.0 2378 1.000
: 456170499.0 2601 0.950
: 456170500.0 2492 0.924
: 456170501.0 2410 0.948
: 456170502.0 2670 0.957
: 456170503.0 2547 0.933
: 456170504.0 2172 0.925
: 456170505.0 2333 0.952
: 456170506.0 2187 0.890
: 456170507.0 2399 0.923
: 456170508.0 2399 0.896
: 456170509.0 2041 0.895
: 456170510.0 2084 0.873
: 456170511.0 2121 0.872
: 456170512.0 3165 0.910
: 456170514.0 2118 0.843
: 456170515.0 3216 0.895
: 456170517.0 2697 0.898
: 456170518.0 2692 0.900
: 456170520.0 2077 0.815
: 456170522.0 2925 0.895
: 456170524.0 2828 0.884
: 456170530.0 2321 0.854
: 456170531.0 3019 0.898
: 456170532.0 2729 0.936
: 456170543.0 2699 0.865
: 456170548.0 2538 0.866
: 456170549.0 2319 0.908
: 456170550.0 2509 0.881
: 456170551.0 2138 0.913
: 456170561.0 2982 0.926
: 456170571.0 2777 0.873
: 456170574.0 2845 0.879
: 456170575.0 2220 0.879
: 456170576.0 2839 0.936
: 456170587.0 2910 0.899
: 456170588.0 2719 0.888
: 456170591.0 2613 0.892
: 456170592.0 2070 0.832
: 456170594.0 2121 0.817
: 456170595.0 2058 0.867
: 456170596.0 2532 0.886
: 456170598.0 2140 0.836
: 456170599.0 3157 0.917
: 456170600.0 2386 0.989
: 456170601.0 2213 0.907
: 456170602.0 2371 0.914
: 456170605.0 2480 0.869
: 456170606.0 2731 0.907
: 456170609.0 2303 0.853
: 456170610.0 2291 0.885
: 456170612.0 2445 0.881
: 456170614.0 2693 0.893
: 456170618.0 3846 0.936
: 456170619.0 2447 0.933
: 456170620.0 2557 0.939
: 456170623.0 2744 0.887
: 456170624.0 2414 0.903
: 456170625.0 2785 0.924
: 456170626.0 2281 0.923
: 456170627.0 2278 0.904
: 456170628.0 2355 0.943
: 456170630.0 2524 0.855
: 456170631.0 2198 0.889
: 456170632.0 2615 0.921
: 456170634.0 2258 0.851
: 456170635.0 2520 0.879
: 456170636.0 2945 0.947
: 456170638.0 2808 0.906
: 456170639.0 2110 0.889
: 456170640.0 2507 0.943
: 456170642.0 2548 0.888
: 456170643.0 2518 0.935
: 456170645.0 2472 0.883
: 456170646.0 2534 0.937
: 456170648.0 2897 0.906
: 456170650.0 2107 0.865
: 456170651.0 2019 0.851
: 456170653.0 2585 0.888
: 456170657.0 2039 0.846
: 456170658.0 3481 0.926
: 456170660.0 2294 0.876
: 456170661.0 2832 0.903
: 456170662.0 2219 0.873
: 456170663.0 2405 0.904
: 456170664.0 2855 0.946
: 456170665.0 2387 0.928
: 456170666.0 2837 0.947
: 456170667.0 2288 0.912
: 456170668.0 2987 0.972
: 456170669.0 2725 0.977
: 456170670.0 2503 0.962
: 456170672.0 3164 0.906
: 456170674.0 3011 0.906
: 456170675.0 2518 0.897
: 456170677.0 2257 0.855
: 456170678.0 3028 0.928
: 456170679.0 2013 0.872
: 456170680.0 2333 0.899
: 456170681.0 2277 0.907
: 456170684.0 3297 0.904
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: 456181583.0 2388 0.927
: 456181584.0 2431 0.917
: 456181585.0 2277 0.972
: 456181586.0 2502 0.988
: 456181588.0 2178 0.876
: 456181590.0 2353 0.776
: 456181610.0 2206 0.786
: 456181617.0 2443 0.806
: 456181620.0 2660 0.818
: 456181622.0 3129 0.874
: 456181623.0 2354 0.910
: 456181624.0 2383 0.919
: 456181626.0 2778 0.877
: 456181676.0 2553 0.878
: 456181678.0 2402 0.846
: 456181680.0 3072 0.878
: 456181686.0 2392 0.847
: 456181688.0 2643 0.918
: 456181692.0 2414 0.855
: 456181695.0 2452 0.793
: 456181696.0 2008 0.828
: 456181713.0 2300 0.822
: 456181722.0 2035 0.843
: 456181730.0 2122 0.827
: 456181760.0 2151 0.813
: 456181762.0 3303 0.891
: 456182127.0 2379 0.868
: 456182128.0 2253 0.905
: 456182129.0 2230 0.874
: 456182130.0 2221 0.882
: 456182261.0 2210 0.834
: 456182472.0 2167 0.868
: 456182565.0 2012 0.850
: 456182831.0 2271 0.878
: 456182964.0 2253 0.839
: 456183074.0 2089 0.826
: 456183089.0 2208 0.885
: 456183090.0 2540 0.870
: 456183103.0 3364 0.949
: 456183104.0 3006 0.991
: 456183122.0 2926 0.886
: 456183123.0 2250 1.000
Total number of 1 second bins: 13584
Bins with >0 counts : 12566
Bins with >2000 counts : 989
989 of 989 high count rate bins were dominated by noise
Noise dominated 7.28% of total time, 7.87% of detector on time (defined as non-zero counts)