Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 439372934.0 2613 0.869
: 439372935.0 2711 0.911
: 439372936.0 2543 0.912
: 439372937.0 2450 0.924
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: 439384170.0 4652 0.971
: 439384171.0 2885 0.987
: 439384172.0 2858 1.000
: 439384173.0 2579 0.989
: 439384174.0 2694 0.987
: 439384175.0 2709 0.991
: 439384242.0 4869 0.966
: 439384244.0 3547 0.945
: 439384245.0 2779 0.969
: 439384246.0 2860 0.981
: 439384247.0 2704 0.982
: 439384248.0 2587 0.983
: 439384249.0 2589 0.982
: 439384250.0 2485 0.974
: 439384251.0 2623 0.985
: 439384252.0 2743 0.985
: 439384253.0 2864 0.994
: 439384254.0 2598 0.988
: 439384255.0 2730 0.986
: 439384256.0 2551 0.980
: 439384258.0 2648 0.978
: 439384259.0 2775 0.985
: 439384260.0 2736 0.985
: 439384261.0 2413 0.945
: 439384262.0 2487 0.994
: 439384263.0 2589 0.988
: 439384265.0 2763 0.992
: 439384266.0 2277 0.979
: 439384267.0 2714 0.985
: 439384268.0 2586 0.954
: 439384269.0 2794 0.979
: 439384270.0 2776 0.987
: 439384271.0 2477 0.983
: 439384272.0 2550 0.982
: 439384273.0 2555 0.994
: 439384274.0 2373 0.991
: 439384275.0 2663 0.992
: 439384276.0 2444 0.986
: 439384277.0 2632 0.995
: 439384278.0 2391 0.990
: 439384279.0 2594 0.971
: 439384280.0 2555 0.979
: 439384281.0 2532 0.979
: 439384283.0 3451 0.918
: 439384284.0 2498 0.941
: 439384287.0 3098 0.909
: 439384288.0 2554 0.982
: 439384289.0 2766 0.977
: 439384290.0 2478 0.979
: 439384291.0 2716 0.990
: 439384292.0 2506 0.983
: 439384293.0 2710 0.994
: 439384294.0 2756 0.991
: 439384295.0 2547 0.987
: 439384296.0 2672 0.993
: 439384297.0 2667 0.993
: 439384298.0 2734 0.997
: 439384299.0 2562 0.979
: 439384300.0 2659 0.981
: 439384301.0 2769 1.000
: 439384302.0 2745 0.984
: 439384303.0 2587 0.952
: 439384304.0 2712 0.970
: 439384305.0 2760 0.981
: 439384306.0 2705 0.982
: 439384307.0 2730 0.992
: 439384308.0 2706 0.986
: 439384309.0 2817 0.983
: 439384325.0 2663 0.896
: 439384326.0 2468 0.983
: 439384327.0 2788 0.991
: 439384328.0 2741 0.984
: 439384330.0 3304 0.981
: 439384331.0 2510 0.980
: 439384332.0 2830 0.984
: 439384333.0 2502 0.942
: 439384334.0 2717 0.989
: 439384335.0 2642 0.963
: 439384336.0 2661 0.992
: 439384337.0 2508 0.985
: 439384338.0 2658 0.982
: 439384339.0 2671 0.986
: 439384341.0 4123 0.965
: 439384342.0 2574 0.986
: 439384343.0 2731 0.978
: 439384344.0 2757 0.985
: 439384345.0 2648 0.983
: 439384347.0 4046 0.934
: 439384348.0 2917 0.990
: 439384349.0 2425 0.969
: 439384350.0 2772 0.986
: 439384351.0 2709 0.976
: 439384352.0 2426 0.978
: 439384354.0 4804 0.972
: 439384355.0 2743 0.990
: 439384356.0 2492 0.977
: 439384357.0 2624 0.994
: 439384358.0 2737 0.996
: 439384359.0 2575 0.981
: 439384360.0 2671 0.984
: 439384361.0 2738 0.990
: 439384474.0 3423 0.913
: 439384486.0 4538 0.962
: 439384487.0 2380 0.969
: 439384488.0 2442 0.962
: 439384489.0 2767 0.985
: 439384490.0 2463 0.980
: 439384491.0 2663 0.967
: 439384492.0 2752 0.987
: 439384493.0 2803 0.985
: 439384495.0 2951 0.982
: 439384496.0 2763 0.988
: 439384497.0 2666 0.971
: 439384498.0 2785 0.981
: 439384499.0 2605 0.982
: 439384556.0 4056 0.977
: 439384557.0 2609 0.977
: 439384559.0 3438 0.967
: 439384560.0 2786 0.992
: 439384561.0 2770 0.992
: 439384562.0 2676 0.966
: 439384563.0 2407 0.985
: 439384564.0 2573 1.000
: 439384565.0 2472 1.000
: 439384566.0 2479 0.992
: 439384567.0 2546 0.992
: 439384568.0 2889 0.978
: 439384569.0 2619 0.985
: 439384570.0 2566 0.994
: 439384571.0 2807 0.998
: 439384572.0 2588 0.989
: 439384573.0 2617 0.977
: 439384574.0 2710 0.974
: 439384575.0 2829 0.989
: 439384576.0 2707 0.970
: 439384578.0 2679 0.984
: 439384579.0 2696 0.985
: 439384581.0 2848 0.995
: 439384582.0 2467 0.978
: 439384583.0 2716 0.971
: 439384584.0 2650 0.987
: 439384585.0 2801 0.985
: 439384586.0 2703 0.969
: 439384587.0 2436 0.982
: 439384588.0 2674 0.985
: 439384589.0 2811 0.985
: 439384590.0 2013 0.917
: 439384591.0 3348 0.988
: 439384592.0 2698 0.979
: 439384593.0 2577 0.989
: 439384595.0 2783 0.976
: 439384596.0 2856 0.977
: 439384597.0 2574 0.985
: 439384598.0 2588 0.974
: 439384599.0 2482 0.977
: 439384600.0 2697 0.978
: 439384601.0 2608 0.978
: 439384602.0 2723 0.999
: 439384603.0 2588 0.982
: 439384604.0 2458 0.971
: 439384605.0 2748 0.999
: 439384620.0 4744 0.960
: 439384621.0 2484 0.977
: 439384622.0 2871 0.987
: 439384623.0 2730 0.981
: 439384624.0 2772 0.965
: 439384625.0 2429 0.950
: 439384626.0 2756 0.973
: 439384627.0 2215 0.941
: 439384628.0 2667 0.974
: 439384630.0 4102 0.943
: 439384631.0 2678 0.971
: 439384632.0 2753 0.988
: 439384633.0 2455 0.979
: 439384634.0 2800 0.987
: 439384635.0 2379 0.971
: 439384636.0 2682 0.977
: 439384637.0 2722 0.982
: 439384638.0 2636 0.969
: 439384639.0 2808 0.981
: 439384641.0 2531 0.952
: 439384642.0 2159 0.929
: 439384644.0 2726 0.974
: 439384645.0 2767 0.990
: 439384646.0 2691 0.968
: 439384651.0 4510 0.958
: 439384652.0 2819 0.983
: 439384663.0 2627 0.941
: 439384664.0 2945 0.927
: 439384680.0 4420 0.941
: 439384681.0 2697 0.990
: 439384682.0 2771 0.988
: 439384683.0 2582 0.980
: 439384684.0 2631 0.973
: 439384686.0 2710 0.981
: 439384695.0 4328 0.960
: 439384696.0 2919 0.987
: 439384698.0 3354 0.903
: 439384699.0 2282 0.906
: 439384700.0 2300 0.882
: 439384701.0 2320 0.912
: 439384702.0 3822 0.954
: 439384703.0 2589 0.974
: 439384704.0 2630 0.974
: 439384705.0 2644 0.965
: 439384706.0 2268 0.934
: 439384707.0 2895 0.990
: 439384708.0 2736 0.986
: 439384710.0 2432 0.889
: 439384711.0 3245 0.951
: 439384712.0 2041 0.943
: 439384713.0 2795 0.916
: 439384714.0 2720 0.957
: 439384715.0 2724 0.976
: 439384716.0 2674 0.971
: 439384718.0 3485 0.956
: 439384719.0 2722 0.983
: 439384720.0 2338 0.944
: 439384721.0 2402 0.959
: 439384722.0 3180 0.980
: 439384723.0 2387 0.943
: 439384724.0 2949 0.987
: 439384726.0 3280 0.982
: 439384727.0 2723 0.985
: 439384728.0 2675 0.974
: 439384730.0 3651 0.944
: 439384732.0 2669 0.981
: 439384733.0 2644 0.982
: 439384734.0 2536 0.979
: 439384736.0 2725 0.979
: 439384738.0 2565 0.987
: 439384739.0 2606 0.988
: 439384740.0 2479 0.987
: 439384741.0 2636 0.993
: 439384743.0 2738 0.999
: 439384745.0 2627 0.993
: 439384746.0 2845 0.986
: 439384747.0 2780 0.983
: 439384748.0 2716 0.979
: 439384749.0 2873 0.994
: 439384750.0 2679 0.987
: 439384751.0 2706 0.988
: 439384754.0 2531 0.995
: 439384755.0 2590 0.986
: 439384756.0 2669 0.983
: 439384758.0 2768 0.984
: 439384759.0 2610 0.964
: 439384761.0 3252 0.934
: 439384763.0 2009 0.811
: 439384764.0 4000 0.969
: 439384765.0 2809 0.975
: 439384766.0 2640 0.973
: 439384767.0 2899 0.963
: 439384768.0 2660 0.975
: 439384769.0 2603 0.964
: 439384771.0 2469 0.985
: 439384772.0 2569 0.988
: 439384774.0 3799 0.962
: 439384775.0 2712 0.979
: 439384777.0 2894 0.979
: 439384778.0 2560 0.957
: 439384779.0 2606 0.974
: 439384781.0 4429 0.976
: 439384782.0 2789 0.964
: 439384783.0 2767 0.980
: 439384784.0 2841 0.985
: 439384785.0 2534 0.966
: 439384786.0 2824 0.982
: 439384787.0 2740 0.979
: 439384788.0 2565 0.978
: 439384789.0 2704 0.974
: 439384790.0 2829 0.977
: 439384791.0 2669 0.953
: 439384792.0 2773 0.981
: 439384793.0 2593 0.954
: 439384794.0 2651 0.968
: 439384795.0 2843 0.975
: 439384796.0 2655 0.984
Total number of 1 second bins: 11875
Bins with >0 counts : 6921
Bins with >2000 counts : 3752
3752 of 3752 high count rate bins were dominated by noise
Noise dominated 31.60% of total time, 54.21% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 439379248.0 2863 0.903
: 439379249.0 2791 0.925
: 439379250.0 2785 0.968
: 439379252.0 2041 0.945
: 439382373.0 2327 0.796
: 439383859.0 2635 0.853
: 439384327.0 2286 0.846
: 439384561.0 2067 0.868
: 439384563.0 2216 0.866
: 439384564.0 2245 0.845
: 439384565.0 2466 0.878
: 439384566.0 3051 0.934
: 439384569.0 2309 0.826
: 439384804.0 3068 0.904
Total number of 1 second bins: 11875
Bins with >0 counts : 7102
Bins with >2000 counts : 14
14 of 14 high count rate bins were dominated by noise
Noise dominated 0.12% of total time, 0.20% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 439377368.0 2530 0.912
: 439377369.0 4077 0.943
: 439377370.0 2501 0.987
: 439377372.0 2188 0.928
: 439377513.0 2519 0.828
: 439377545.0 2936 0.889
: 439377753.0 2272 0.864
: 439377756.0 3894 0.926
: 439377759.0 4215 0.918
: 439377760.0 2737 0.977
: 439378173.0 2019 0.834
: 439380595.0 2574 0.887
: 439380596.0 2335 0.940
: 439380699.0 2359 0.872
: 439380756.0 2091 0.882
: 439381222.0 2052 0.831
: 439382227.0 2104 0.823
: 439382229.0 2035 0.886
: 439382230.0 2248 0.909
: 439382231.0 2703 0.888
: 439382232.0 3921 0.943
: 439382239.0 3369 0.880
: 439382241.0 2766 0.890
: 439383373.0 2173 0.792
: 439383374.0 2181 0.744
: 439383375.0 2003 0.826
: 439383379.0 2050 0.786
: 439383384.0 2118 0.746
: 439383387.0 2105 0.743
: 439383392.0 2614 0.846
: 439383536.0 2084 0.823
: 439383714.0 2031 0.787
: 439383908.0 2056 0.820
Total number of 1 second bins: 11876
Bins with >0 counts : 7105
Bins with >2000 counts : 33
33 of 33 high count rate bins were dominated by noise
Noise dominated 0.28% of total time, 0.46% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 439372936.0 3468 0.924
: 439372938.0 3396 0.947
: 439372940.0 3208 0.956
: 439372941.0 2380 0.963
: 439372942.0 2157 0.941
: 439372943.0 2334 0.989
: 439372946.0 2727 0.887
: 439372967.0 2330 0.906
: 439372976.0 3371 0.947
: 439372983.0 2137 0.903
: 439372985.0 2651 0.888
: 439372986.0 2136 0.958
: 439372988.0 2541 0.972
: 439372996.0 2686 0.894
: 439372997.0 2722 0.961
: 439372999.0 2167 0.849
: 439373005.0 2020 0.931
: 439373009.0 2301 0.849
: 439373017.0 2177 0.878
: 439373024.0 2385 0.891
: 439373033.0 2305 0.912
: 439373038.0 2119 0.865
: 439373039.0 2005 0.919
: 439373042.0 3012 0.912
: 439373045.0 2030 0.874
: 439373046.0 2522 0.940
: 439373053.0 2406 0.859
: 439373056.0 2043 0.871
: 439373061.0 2178 0.855
: 439373071.0 2011 0.840
: 439373075.0 2477 0.962
: 439373077.0 2202 0.933
: 439373082.0 2207 0.908
: 439373085.0 2302 0.951
: 439373122.0 2100 0.888
: 439373127.0 2072 0.710
: 439373128.0 3143 0.943
: 439373136.0 2337 0.920
: 439377736.0 2639 0.873
: 439377743.0 3881 0.929
: 439377744.0 2441 0.971
: 439377803.0 2497 0.871
: 439377808.0 3604 0.906
: 439377943.0 2010 0.898
: 439377962.0 2093 0.864
: 439377963.0 3218 0.913
: 439378015.0 2083 0.851
: 439378059.0 3429 0.922
: 439378093.0 2475 0.882
: 439378103.0 2117 0.857
: 439378104.0 2523 0.902
: 439378105.0 2035 0.885
: 439378106.0 2166 0.831
: 439378107.0 2085 0.816
: 439378108.0 2050 0.840
: 439378109.0 2004 0.828
: 439378112.0 2531 0.883
: 439378114.0 2203 0.852
: 439378115.0 2017 0.833
: 439378121.0 2751 0.862
: 439378143.0 3486 0.898
: 439378144.0 2455 0.941
: 439378145.0 2058 0.937
: 439378147.0 2612 0.903
: 439378150.0 3670 0.917
: 439378153.0 2542 0.863
: 439378156.0 4164 0.923
: 439378189.0 3042 0.889
: 439378190.0 2764 0.920
: 439378194.0 2322 0.862
: 439378317.0 2083 0.840
: 439378388.0 2579 0.881
: 439378389.0 2022 0.884
: 439378412.0 2138 0.863
: 439378487.0 2180 0.837
: 439378609.0 2023 0.876
: 439378618.0 2389 0.851
: 439378626.0 2378 0.861
: 439378632.0 2370 0.859
: 439378655.0 4660 0.948
: 439378662.0 2363 0.990
: 439378677.0 3714 0.960
: 439378681.0 2268 0.962
: 439378689.0 2132 0.840
: 439378693.0 3161 0.910
: 439378694.0 2011 0.903
: 439378695.0 2656 0.899
: 439378698.0 2514 0.866
: 439378699.0 2726 0.900
: 439378700.0 2172 0.895
: 439378716.0 4496 0.962
: 439378719.0 3326 0.910
: 439378723.0 2105 0.819
: 439378751.0 2230 0.879
: 439378757.0 2543 0.864
: 439378760.0 2641 0.900
: 439378761.0 3012 0.922
: 439378792.0 3833 0.933
: 439378799.0 2505 0.890
: 439378804.0 3180 0.945
: 439378810.0 3051 0.920
: 439378876.0 2445 0.862
: 439378878.0 2245 0.864
: 439378905.0 3067 0.891
: 439378919.0 4360 0.958
: 439378988.0 2897 0.933
: 439379030.0 2008 0.845
: 439379031.0 2060 0.875
: 439379032.0 2562 0.931
: 439379036.0 3641 0.937
: 439379054.0 3703 0.931
: 439379062.0 3912 0.952
: 439379066.0 3453 0.961
: 439379069.0 3142 0.919
: 439379078.0 2587 0.913
: 439379084.0 2716 0.885
: 439379085.0 2446 0.887
: 439379086.0 2290 0.982
: 439379094.0 2351 0.878
: 439379095.0 2153 0.937
: 439379097.0 2256 0.918
: 439379098.0 2357 0.876
: 439379099.0 2142 0.932
: 439379100.0 2300 0.954
: 439379102.0 2764 0.978
: 439379107.0 2894 0.925
: 439379110.0 2976 0.926
: 439379111.0 2713 0.958
: 439379113.0 2240 0.964
: 439379115.0 2231 0.964
: 439379117.0 2361 0.931
: 439379118.0 2217 0.871
: 439379119.0 2146 0.890
: 439379121.0 2294 0.925
: 439379122.0 2151 0.944
: 439379123.0 2485 0.981
: 439379124.0 2003 0.966
: 439379127.0 2855 0.983
: 439379136.0 2633 0.934
: 439379138.0 2965 0.932
: 439379140.0 2945 0.931
: 439379145.0 2033 0.857
: 439379147.0 2241 0.845
: 439379158.0 3135 0.894
: 439379162.0 2362 0.872
: 439379163.0 2708 0.907
: 439379171.0 2918 0.904
: 439379177.0 2682 0.916
: 439379179.0 2133 0.879
: 439379181.0 2450 0.902
: 439379184.0 2891 0.890
: 439379188.0 2362 0.886
: 439379196.0 2050 1.000
: 439379202.0 2385 0.946
: 439379205.0 2404 0.917
: 439379206.0 2510 0.870
: 439379209.0 2961 0.906
: 439379211.0 2839 0.889
: 439379216.0 2313 0.872
: 439379217.0 2030 0.889
: 439379252.0 2518 0.934
: 439379271.0 2467 0.893
: 439379275.0 2212 0.953
: 439379277.0 2738 0.933
: 439379281.0 2748 0.912
: 439379292.0 2216 0.959
: 439379295.0 2394 0.888
: 439379296.0 2395 0.916
: 439379298.0 3111 0.958
: 439379299.0 2123 0.965
: 439379300.0 2226 0.980
: 439379302.0 2780 0.944
: 439379308.0 2155 0.862
: 439379316.0 2198 0.921
: 439379318.0 3297 0.919
: 439379321.0 3562 0.938
: 439379322.0 2390 0.969
: 439379323.0 2324 0.985
: 439379324.0 2073 0.971
: 439379326.0 2117 0.953
: 439379328.0 2373 0.925
: 439379330.0 2045 0.841
: 439379344.0 2053 0.997
: 439379348.0 2344 0.947
: 439379351.0 2898 0.901
: 439379362.0 3570 0.938
: 439379374.0 2322 0.863
: 439379387.0 2487 0.872
: 439379388.0 2441 0.864
: 439379396.0 2931 0.903
: 439379399.0 2123 0.859
: 439379402.0 2842 0.924
: 439379403.0 2086 0.890
: 439379408.0 2151 0.849
: 439379411.0 3446 0.932
: 439379415.0 2932 0.904
: 439379417.0 2104 0.866
: 439379422.0 3265 0.948
: 439379428.0 2793 0.955
: 439379432.0 3002 0.960
: 439379440.0 2761 0.880
: 439379441.0 2326 0.924
: 439379442.0 2160 0.961
: 439379447.0 2267 0.896
: 439379449.0 3216 0.942
: 439379451.0 3577 0.959
: 439379461.0 2619 0.968
: 439379462.0 2101 0.946
: 439379463.0 2545 0.952
: 439379467.0 3278 0.899
: 439379481.0 2917 0.879
: 439379483.0 2923 0.957
: 439379492.0 3089 0.922
: 439379500.0 3569 0.919
: 439379502.0 4394 0.944
: 439379503.0 2183 0.950
: 439379535.0 4028 0.968
: 439379540.0 2116 0.860
: 439379541.0 3559 0.949
: 439379546.0 4506 0.951
: 439379547.0 2524 0.964
: 439379549.0 2443 0.966
: 439379586.0 2326 0.862
: 439379600.0 2310 0.880
: 439379605.0 2672 0.916
: 439379608.0 2337 0.894
: 439379612.0 2087 0.873
: 439379626.0 2055 0.909
: 439379627.0 3832 0.981
: 439379628.0 2054 0.988
: 439379642.0 3155 0.970
: 439379645.0 2209 0.971
: 439379657.0 2085 0.844
: 439379659.0 2292 0.869
: 439379660.0 4374 0.967
: 439379661.0 2855 0.989
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: 439383395.0 2854 0.909
: 439383397.0 3000 0.905
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: 439383431.0 2125 0.911
: 439383432.0 2817 0.966
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: 439383436.0 2432 0.975
: 439383438.0 3262 0.925
: 439383439.0 2019 0.984
: 439383440.0 2361 0.951
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: 439383443.0 2718 0.914
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: 439383450.0 2449 0.998
: 439383451.0 2353 0.995
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: 439383454.0 2640 0.991
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: 439383458.0 2503 0.979
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: 439383476.0 2505 0.968
: 439383481.0 3656 0.911
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: 439383491.0 3367 0.881
: 439383492.0 4002 0.960
: 439383495.0 3539 0.886
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: 439383523.0 2886 0.906
: 439383525.0 4220 0.965
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: 439383530.0 4025 0.949
: 439383532.0 4277 0.910
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: 439383540.0 4405 0.958
: 439383541.0 2655 0.953
: 439383545.0 3054 0.896
: 439383546.0 3565 0.915
: 439383547.0 2357 0.962
: 439383548.0 2086 0.998
: 439383549.0 2495 0.965
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: 439383552.0 2659 0.959
: 439383553.0 2580 0.969
: 439383554.0 2057 0.912
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: 439383561.0 2452 0.899
: 439383562.0 2623 0.850
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: 439383571.0 2798 0.961
: 439383572.0 2543 0.950
: 439383573.0 2446 0.983
: 439383574.0 2137 1.000
: 439383575.0 2529 0.999
: 439383576.0 2543 0.963
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: 439383579.0 2852 0.867
: 439383580.0 2933 0.919
: 439383581.0 2546 0.990
: 439383583.0 3988 0.929
: 439383584.0 2560 0.994
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: 439383587.0 3177 0.958
: 439383588.0 2503 0.984
: 439383589.0 2642 0.981
: 439383592.0 3692 0.928
: 439383593.0 2509 0.976
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: 439383601.0 3924 0.940
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: 439383608.0 2526 0.953
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: 439383613.0 2263 0.998
: 439383614.0 2357 0.950
: 439383616.0 2365 0.920
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: 439383621.0 2305 0.831
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: 439383624.0 3334 0.924
: 439383625.0 2343 0.894
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: 439383632.0 3204 0.988
: 439383633.0 2300 0.997
: 439383634.0 2072 0.944
: 439383635.0 2839 0.963
: 439383636.0 2382 0.981
: 439383639.0 2404 1.000
: 439383640.0 2592 0.985
: 439383641.0 2037 0.942
: 439383642.0 2732 0.982
: 439383643.0 2346 0.936
: 439383645.0 2003 0.992
: 439383647.0 2525 0.963
: 439383650.0 3086 0.912
: 439383652.0 3766 0.950
: 439383653.0 2226 0.992
: 439383654.0 2582 0.983
: 439383655.0 2435 0.952
: 439383656.0 2029 0.909
: 439383657.0 2861 0.945
: 439383658.0 2528 0.986
: 439383660.0 2075 0.867
: 439383663.0 2012 0.794
: 439383665.0 2562 0.880
: 439383666.0 2916 0.874
: 439383669.0 2322 0.827
: 439383674.0 2925 0.981
: 439383676.0 2064 1.000
: 439383677.0 2225 1.000
: 439383678.0 2049 0.922
: 439383679.0 2392 0.946
: 439383680.0 2473 0.976
: 439383681.0 2541 0.996
: 439383682.0 2280 0.945
: 439383684.0 3789 0.945
: 439383685.0 2529 0.982
: 439383687.0 2078 0.980
: 439383688.0 2295 0.949
: 439383689.0 2282 0.916
: 439383692.0 2667 0.865
: 439383693.0 2738 0.995
: 439383694.0 2624 0.942
: 439383695.0 2725 0.968
: 439383697.0 3561 0.943
: 439383699.0 2814 0.889
: 439383701.0 2842 0.932
: 439383704.0 2429 0.992
: 439383709.0 4022 0.941
: 439383710.0 2638 0.949
: 439383711.0 2801 0.986
: 439383712.0 2759 0.981
: 439383715.0 2459 0.885
: 439383717.0 3607 0.895
: 439383722.0 3073 0.947
: 439383724.0 2615 0.968
: 439383725.0 2823 0.988
: 439383726.0 2597 0.951
: 439383727.0 2275 0.932
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: 439383735.0 2589 0.988
: 439383737.0 2533 0.998
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: 439383740.0 3346 0.972
: 439383741.0 2555 0.989
: 439383747.0 2300 0.999
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: 439383750.0 2323 0.968
: 439383759.0 3560 0.946
: 439383761.0 3860 0.925
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: 439383765.0 2209 0.937
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: 439383767.0 2274 0.940
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: 439383771.0 4958 0.960
: 439383772.0 2563 0.943
: 439383773.0 2792 0.980
: 439383775.0 2261 0.983
: 439383776.0 2161 1.000
: 439383777.0 2440 0.990
: 439383778.0 2609 0.986
: 439383779.0 2466 0.999
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: 439383781.0 2656 0.979
: 439383782.0 2196 0.975
: 439383788.0 3005 0.905
: 439383789.0 2405 0.949
: 439383790.0 2259 0.944
: 439383791.0 2342 0.997
: 439383792.0 2264 1.000
: 439383797.0 2677 0.864
: 439383798.0 2389 0.886
: 439383799.0 2211 0.841
: 439383803.0 2189 0.870
: 439383806.0 3111 0.920
: 439383814.0 3490 0.902
: 439383816.0 3194 0.907
: 439383818.0 4069 0.966
: 439383821.0 2397 0.832
: 439383822.0 2778 0.981
: 439383823.0 2823 0.990
: 439383825.0 2174 0.835
: 439383830.0 3057 0.893
: 439383831.0 3120 0.925
: 439383832.0 2454 0.963
: 439383834.0 2224 0.862
: 439383835.0 4259 0.978
: 439383836.0 2750 1.000
: 439383839.0 2207 0.835
: 439383840.0 3043 0.922
: 439383841.0 2834 0.909
: 439383843.0 3190 0.911
: 439383847.0 3003 0.875
: 439383849.0 3661 0.957
: 439383850.0 2641 0.956
: 439383853.0 3804 0.946
: 439383855.0 2724 0.943
: 439383868.0 2090 0.862
: 439383872.0 2506 0.878
: 439383874.0 4038 0.920
: 439383875.0 2186 0.942
: 439383880.0 4446 0.953
: 439383881.0 2445 0.968
: 439383882.0 2046 0.997
: 439384052.0 2117 0.827
: 439384053.0 2654 0.865
: 439384060.0 2466 0.863
: 439384064.0 2025 0.843
: 439384065.0 2189 0.843
: 439384067.0 3068 0.885
: 439384069.0 2337 0.859
: 439384070.0 2123 0.848
: 439384089.0 3928 0.928
: 439384123.0 2747 0.881
: 439384124.0 2076 0.885
: 439384135.0 2336 0.849
: 439384136.0 2349 0.859
: 439384482.0 2608 0.886
: 439384504.0 4234 0.940
: 439384512.0 3876 0.939
: 439384517.0 2905 0.880
: 439384561.0 3602 0.939
: 439384578.0 2293 0.843
: 439384674.0 2813 0.900
Total number of 1 second bins: 11876
Bins with >0 counts : 7067
Bins with >2000 counts : 1298
1298 of 1298 high count rate bins were dominated by noise
Noise dominated 10.93% of total time, 18.37% of detector on time (defined as non-zero counts)