Locating noise-dominated data in quadrant 0
: Time totcounts fraction
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: 439263744.0 3756 0.942
: 439263745.0 2786 0.933
: 439263746.0 2341 0.926
: 439263748.0 3065 0.918
: 439263749.0 2494 0.917
: 439263750.0 2725 0.932
: 439263751.0 2410 0.913
: 439263752.0 2039 0.912
: 439263753.0 2308 0.889
: 439263754.0 2240 0.862
: 439263755.0 2039 0.866
: 439263756.0 3065 0.907
: 439263776.0 2346 0.856
: 439263777.0 2233 0.883
: 439263778.0 2221 0.889
: 439263785.0 2870 0.898
: 439263786.0 2878 0.943
: 439263787.0 2923 0.943
: 439263788.0 2855 0.954
: 439263789.0 2097 0.935
: 439263790.0 3494 0.959
: 439263792.0 3079 0.912
: 439263793.0 2552 0.926
: 439263794.0 2030 0.924
: 439263795.0 2689 0.942
: 439263811.0 2085 0.836
: 439263817.0 2477 0.908
: 439263818.0 2260 0.903
: 439263821.0 2805 0.919
: 439263822.0 2496 0.916
: 439263823.0 2591 0.922
: 439263824.0 2420 0.910
: 439263825.0 2292 0.913
: 439263826.0 2725 0.934
: 439263827.0 2747 0.946
: 439263828.0 2732 0.942
: 439263829.0 3175 0.946
: 439263831.0 2533 0.932
: 439263832.0 2431 0.919
: 439263833.0 2370 0.924
: 439263834.0 2615 0.907
: 439263836.0 2960 0.937
: 439263837.0 2994 0.947
: 439263838.0 2636 0.944
: 439263839.0 2899 0.940
: 439263840.0 2276 0.925
: 439263841.0 2993 0.941
: 439263842.0 2056 0.961
: 439263844.0 2972 0.907
: 439263845.0 2912 0.952
: 439263846.0 2809 0.938
: 439263847.0 2091 0.933
: 439263848.0 2873 0.939
: 439263849.0 2382 0.903
: 439263858.0 3552 0.912
: 439263859.0 2491 0.943
: 439263860.0 3162 0.947
: 439263861.0 2062 0.957
: 439263862.0 2517 0.909
: 439263863.0 2613 0.927
: 439263864.0 2581 0.927
: 439263865.0 2376 0.925
: 439263867.0 2326 0.888
: 439263868.0 2652 0.926
: 439263869.0 2625 0.933
: 439263870.0 2862 0.924
: 439263871.0 2472 0.917
: 439263872.0 2933 0.943
: 439263875.0 3827 0.925
: 439263876.0 2054 0.932
: 439263877.0 2629 0.934
: 439263879.0 2842 0.901
: 439263880.0 2962 0.940
: 439263881.0 2258 0.919
: 439263882.0 2782 0.936
: 439263883.0 2664 0.932
: 439263884.0 2252 0.937
: 439263885.0 2157 0.916
: 439263886.0 3027 0.940
: 439263887.0 2455 0.916
: 439263888.0 2416 0.928
: 439263889.0 2773 0.936
: 439263890.0 2931 0.941
: 439263892.0 2944 0.904
: 439263893.0 2614 0.929
: 439263894.0 2862 0.954
: 439263895.0 2356 0.929
: 439263897.0 3062 0.927
: 439263899.0 2038 0.895
: 439263900.0 2762 0.871
: 439263901.0 3255 0.942
: 439263903.0 2787 0.921
: 439263904.0 2635 0.926
: 439263905.0 2305 0.930
: 439263906.0 2595 0.929
: 439263907.0 2768 0.943
: 439263909.0 3030 0.923
: 439263911.0 2801 0.922
: 439263912.0 2409 0.911
: 439263913.0 2621 0.922
: 439263914.0 2441 0.914
: 439263916.0 2067 0.864
: 439263917.0 2335 0.876
: 439263918.0 2912 0.912
: 439263919.0 2542 0.939
: 439263920.0 2898 0.931
: 439263922.0 2946 0.890
: 439263924.0 2713 0.909
: 439263925.0 2648 0.943
: 439263926.0 2613 0.940
: 439263927.0 2366 0.910
: 439263928.0 2052 0.917
: 439263931.0 2367 0.873
: 439263932.0 2837 0.951
: 439263933.0 2207 0.913
: 439263934.0 2402 0.919
: 439263935.0 2827 0.943
: 439263936.0 2483 0.952
: 439263937.0 2430 0.940
: 439263938.0 2181 0.928
: 439263941.0 2923 0.892
: 439263942.0 3354 0.946
: 439263943.0 2530 0.953
: 439263944.0 2728 0.941
: 439263945.0 2375 0.955
: 439263946.0 2377 0.928
: 439263947.0 2284 0.937
: 439263948.0 2525 0.926
: 439263949.0 2738 0.934
: 439263950.0 2638 0.932
: 439263951.0 2442 0.932
: 439263952.0 2381 0.944
: 439263953.0 2105 0.925
: 439263954.0 2301 0.880
: 439263956.0 2599 0.916
: 439263958.0 2633 0.862
: 439263959.0 2536 0.912
: 439263960.0 2621 0.937
: 439263961.0 2284 0.935
: 439263962.0 2525 0.920
: 439263963.0 2034 0.842
: 439263964.0 2797 0.911
: 439263965.0 2218 0.917
: 439263966.0 2461 0.911
: 439263967.0 2832 0.929
: 439263968.0 3498 0.958
: 439263970.0 3411 0.954
: 439263971.0 2550 0.947
: 439263972.0 2403 0.956
: 439263974.0 3014 0.937
: 439263976.0 2030 0.916
: 439263977.0 2930 0.917
: 439263978.0 2098 0.930
: 439263979.0 2753 0.934
: 439263980.0 2550 0.924
: 439263981.0 2436 0.907
: 439263982.0 2497 0.939
: 439263983.0 3129 0.942
: 439263984.0 2215 0.965
: 439263985.0 2606 0.947
: 439263987.0 3386 0.952
: 439263989.0 2848 0.946
: 439263990.0 2550 0.935
: 439263991.0 2870 0.946
: 439263994.0 2578 0.845
: 439263996.0 2375 0.861
: 439263997.0 2343 0.916
: 439264024.0 2452 0.897
: 439264025.0 4109 0.943
: 439264040.0 2161 0.868
: 439264054.0 2053 0.829
: 439264060.0 2511 0.857
: 439264063.0 2282 0.836
: 439264098.0 3093 0.926
: 439264100.0 2005 0.833
: 439264102.0 2729 0.866
: 439264106.0 2738 0.907
: 439264107.0 2731 0.893
: 439264108.0 3488 0.941
: 439264110.0 2543 0.898
: 439264116.0 2364 0.849
: 439264126.0 3002 0.884
: 439264155.0 2783 0.879
: 439264191.0 2820 0.902
: 439264222.0 2516 0.907
: 439264223.0 2195 0.902
: 439264224.0 2250 0.905
: 439264225.0 2011 0.861
: 439264228.0 2962 0.901
: 439264231.0 2251 0.932
: 439264232.0 3138 0.909
: 439264233.0 3086 0.931
: 439264235.0 2009 0.927
: 439264270.0 2443 0.856
: 439264282.0 2620 0.868
: 439264392.0 2121 0.835
: 439264415.0 2258 0.853
: 439264427.0 2460 0.869
: 439264428.0 2162 0.851
: 439264508.0 2517 0.877
: 439264510.0 2273 0.864
: 439264512.0 2925 0.871
: 439264523.0 2539 0.862
: 439264537.0 2558 0.888
: 439264542.0 2185 0.825
: 439264547.0 2004 0.831
: 439264562.0 2304 0.849
: 439264570.0 2155 0.870
: 439264572.0 2022 0.819
: 439264573.0 2080 0.836
: 439264595.0 2180 0.815
: 439264597.0 2334 0.897
: 439264603.0 2051 0.887
: 439264605.0 2189 0.827
: 439264608.0 3208 0.891
: 439264611.0 2875 0.882
: 439264614.0 2046 0.866
: 439264615.0 2175 0.860
: 439264616.0 3716 0.938
: 439264618.0 2041 0.842
: 439264619.0 2158 0.829
: 439264622.0 2415 0.893
: 439264624.0 2051 0.858
: 439264625.0 2097 0.831
: 439264630.0 2145 0.843
: 439264635.0 3946 0.909
: 439264642.0 3582 0.910
: 439264643.0 2004 0.943
: 439264644.0 2133 0.926
: 439264645.0 2760 0.934
: 439264646.0 2522 0.943
: 439264652.0 2462 0.870
: 439264654.0 2094 0.839
: 439264837.0 3050 0.889
: 439264838.0 2386 0.924
: 439264840.0 2586 0.896
: 439264841.0 2146 0.875
: 439264842.0 2088 0.864
: 439264843.0 2783 0.899
: 439264854.0 2145 0.836
: 439264855.0 2261 0.878
: 439264856.0 2951 0.883
: 439264881.0 2210 0.864
: 439264890.0 2114 0.850
: 439264892.0 2338 0.873
: 439264893.0 2269 0.844
: 439264905.0 2091 0.841
: 439264909.0 2517 0.881
: 439264913.0 2244 0.840
: 439264916.0 2238 0.851
: 439264918.0 2015 0.811
: 439264925.0 2184 0.862
: 439264927.0 2325 0.836
: 439264959.0 2012 0.826
: 439265005.0 2617 0.888
: 439265007.0 2236 0.860
: 439265009.0 2064 0.838
: 439265010.0 2023 0.844
: 439265131.0 2467 0.869
: 439265142.0 3264 0.888
: 439265448.0 2845 0.871
: 439265597.0 2828 0.886
: 439265598.0 2403 0.876
: 439265600.0 2102 0.846
: 439265601.0 2328 0.887
: 439265602.0 2447 0.893
: 439266216.0 2712 0.925
: 439266297.0 2528 0.890
: 439266440.0 2046 0.819
: 439268224.0 2330 0.878
Total number of 1 second bins: 7223
Bins with >0 counts : 7223
Bins with >2000 counts : 843
843 of 843 high count rate bins were dominated by noise
Noise dominated 11.67% of total time, 11.67% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 439261987.0 2773 0.904
: 439262004.0 3256 0.902
: 439262016.0 2356 0.890
: 439262017.0 3252 0.910
: 439264541.0 3210 0.887
: 439264542.0 2307 0.945
: 439264543.0 2820 0.959
: 439264544.0 2228 0.935
: 439264545.0 2670 0.952
: 439264546.0 2372 0.972
: 439264547.0 2518 0.983
: 439264548.0 2459 0.989
: 439264549.0 2574 0.995
: 439264550.0 2505 0.982
: 439264551.0 2588 0.976
: 439264552.0 2223 0.955
: 439264553.0 2728 0.977
: 439264554.0 2007 0.949
: 439264555.0 2778 0.972
: 439264802.0 2126 0.907
: 439264929.0 2046 0.875
: 439264951.0 3079 0.915
: 439265135.0 2313 0.822
: 439265155.0 2256 0.857
: 439265189.0 2513 0.875
: 439265190.0 2343 0.893
: 439265191.0 2064 0.917
: 439265192.0 2587 0.893
: 439265211.0 2726 0.871
: 439265212.0 2119 0.900
: 439265219.0 2192 0.814
: 439265220.0 2258 0.854
: 439265228.0 3975 0.918
: 439265960.0 2891 0.895
Total number of 1 second bins: 7223
Bins with >0 counts : 7223
Bins with >2000 counts : 34
34 of 34 high count rate bins were dominated by noise
Noise dominated 0.47% of total time, 0.47% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 439261843.0 2705 0.874
: 439261849.0 4757 0.932
: 439263055.0 2784 0.970
: 439263077.0 3107 0.903
: 439264212.0 2076 0.825
: 439264665.0 3540 0.930
: 439264675.0 2821 1.000
: 439264676.0 2646 0.991
: 439264954.0 2129 0.837
: 439265130.0 2018 0.843
: 439265306.0 2640 0.878
: 439265307.0 3342 0.917
: 439265309.0 2127 0.832
: 439266211.0 2106 0.835
: 439267376.0 2992 0.830
: 439267377.0 2525 0.962
: 439267380.0 2803 0.898
: 439267382.0 2368 0.829
: 439267383.0 2540 0.870
: 439267384.0 2279 0.902
: 439267385.0 2363 0.866
: 439267386.0 2591 0.919
: 439267387.0 3015 0.943
: 439267388.0 2818 0.979
: 439267389.0 2854 0.982
: 439267390.0 2516 0.934
: 439267391.0 2631 0.972
: 439267393.0 3182 0.950
: 439267394.0 2118 0.915
: 439267395.0 2322 0.919
: 439267396.0 2333 0.924
: 439267397.0 2718 0.964
: 439267398.0 2660 0.977
: 439267400.0 3913 0.915
: 439267426.0 4658 0.941
: 439267427.0 2807 0.975
: 439267428.0 2794 0.982
: 439267433.0 2810 0.822
: 439267453.0 2780 0.804
: 439267464.0 3704 0.936
: 439267465.0 2613 0.988
: 439267467.0 3329 0.862
: 439267468.0 2450 0.957
: 439267469.0 2552 0.975
: 439267470.0 2591 0.980
: 439267475.0 2957 0.881
: 439267478.0 2350 0.785
: 439267479.0 2025 0.810
: 439267626.0 2746 0.842
: 439267628.0 2157 0.857
: 439267629.0 2586 0.911
: 439267630.0 3331 0.931
: 439267634.0 2220 0.911
: 439267635.0 3609 0.922
: 439267638.0 2896 0.919
: 439267639.0 2369 0.906
: 439267640.0 4121 0.943
: 439267643.0 2776 0.894
: 439267647.0 2794 0.886
: 439267648.0 2270 0.821
: 439267651.0 3578 0.909
: 439267656.0 2227 0.831
: 439267663.0 2677 0.846
: 439267664.0 2164 0.886
: 439267665.0 3258 0.950
: 439267666.0 3398 0.938
: 439267668.0 2421 0.888
: 439267682.0 2978 0.899
: 439267683.0 2872 0.924
: 439267684.0 2906 0.942
: 439267685.0 2213 0.947
: 439267686.0 3020 0.943
: 439267687.0 3176 0.967
: 439267689.0 2553 0.872
: 439267690.0 3498 0.966
: 439267691.0 2597 0.958
: 439267693.0 2047 0.851
: 439267694.0 2839 0.951
: 439267695.0 2177 0.891
: 439267702.0 2742 0.880
: 439267706.0 2543 0.895
: 439267708.0 2984 0.913
: 439267710.0 2361 0.874
: 439267729.0 3393 0.938
: 439267730.0 3057 0.897
: 439267731.0 3189 0.941
: 439267732.0 2822 0.968
: 439267733.0 2289 0.954
: 439267738.0 2636 1.000
: 439267741.0 2103 1.000
: 439267742.0 2050 0.991
: 439267743.0 2101 0.985
: 439267744.0 2397 0.968
: 439267745.0 2141 0.963
: 439267747.0 2579 1.000
: 439267767.0 2510 1.000
: 439267814.0 2154 0.972
: 439267818.0 2053 1.000
: 439267821.0 2013 1.000
: 439267826.0 2010 1.000
: 439267829.0 2619 1.000
: 439267830.0 2394 1.000
: 439267831.0 2211 1.000
: 439267835.0 2442 1.000
: 439267836.0 2424 1.000
: 439267837.0 2410 1.000
: 439267838.0 2408 1.000
: 439267839.0 2343 1.000
: 439267840.0 2555 1.000
: 439267846.0 2221 1.000
: 439267848.0 2256 1.000
: 439267851.0 2290 1.000
: 439267852.0 2466 1.000
: 439267853.0 2570 1.000
: 439267854.0 2603 1.000
: 439267855.0 2671 1.000
: 439267856.0 2214 1.000
: 439267858.0 2735 1.000
: 439267859.0 2649 1.000
: 439267860.0 2477 1.000
: 439267861.0 2413 1.000
: 439267862.0 2099 1.000
: 439267866.0 2292 1.000
: 439267867.0 2147 0.990
: 439267868.0 2004 0.995
: 439267878.0 2262 0.998
: 439267879.0 2089 1.000
: 439267880.0 2189 0.964
: 439267881.0 2221 1.000
: 439267882.0 2565 0.998
: 439267883.0 2463 0.967
: 439267886.0 2784 0.982
: 439267888.0 2419 0.997
: 439267889.0 2240 0.993
: 439267891.0 2700 0.984
: 439267892.0 2670 0.987
: 439267893.0 2338 1.000
: 439267894.0 2057 1.000
: 439267895.0 2634 0.982
: 439267896.0 2267 1.000
: 439267906.0 4419 0.949
: 439267907.0 2692 0.956
: 439267909.0 2756 0.988
: 439267910.0 2551 0.986
: 439267913.0 2221 1.000
: 439267914.0 2038 1.000
: 439267915.0 2157 1.000
: 439267921.0 2206 0.867
: 439267925.0 4201 0.967
: 439267928.0 4343 0.921
: 439267929.0 2782 0.977
: 439267930.0 2685 0.975
: 439267931.0 2701 0.979
: 439267932.0 2684 0.995
: 439267933.0 2595 0.960
: 439267934.0 2252 0.953
: 439267935.0 2500 0.935
: 439267936.0 3193 0.970
: 439267937.0 2544 0.965
: 439267938.0 2539 0.980
: 439267939.0 2898 0.979
: 439267940.0 2751 0.963
: 439267942.0 3198 0.960
: 439267943.0 2669 0.953
: 439267944.0 2910 0.980
: 439267952.0 2436 1.000
: 439267954.0 2643 0.998
: 439267955.0 2588 0.964
: 439267956.0 2911 0.968
: 439267958.0 3938 0.983
: 439267959.0 2721 0.977
: 439267960.0 2761 0.968
: 439267961.0 2395 0.957
: 439267962.0 2777 0.958
: 439267963.0 3014 0.982
: 439267964.0 2600 0.972
: 439267965.0 2866 0.976
: 439267966.0 2891 0.973
: 439267967.0 2729 0.970
: 439267968.0 2410 0.968
: 439267969.0 2972 0.970
: 439267970.0 2873 0.983
: 439267971.0 2917 0.986
: 439267972.0 2867 0.991
: 439267973.0 2732 0.974
: 439267974.0 2618 0.959
: 439267975.0 2054 0.944
: 439267976.0 2536 0.937
: 439267977.0 2711 0.940
: 439267978.0 2839 0.971
: 439267979.0 2805 1.000
: 439267980.0 2746 0.988
: 439267981.0 2397 0.960
: 439267982.0 2856 0.991
: 439267983.0 2773 0.990
: 439267984.0 2860 0.995
: 439267985.0 2769 1.000
: 439267986.0 2847 0.991
: 439267987.0 2692 0.999
: 439267988.0 2809 0.999
: 439267989.0 2863 0.995
: 439267990.0 2726 0.992
: 439267991.0 2901 0.999
: 439267992.0 2734 0.995
: 439267993.0 2661 0.992
: 439267994.0 2527 0.999
: 439267995.0 2781 0.985
: 439267996.0 2860 0.998
: 439267997.0 2807 0.998
: 439267998.0 2626 1.000
: 439267999.0 2968 0.998
: 439268000.0 2313 1.000
: 439268004.0 2555 1.000
: 439268007.0 2263 1.000
: 439268008.0 2501 0.995
: 439268009.0 2168 1.000
: 439268019.0 2290 0.987
: 439268020.0 2800 0.985
: 439268021.0 2640 0.973
: 439268022.0 2759 1.000
: 439268023.0 2554 0.995
: 439268024.0 2751 0.989
: 439268025.0 2461 0.986
: 439268026.0 2608 0.995
: 439268027.0 2583 0.976
: 439268028.0 2221 0.999
: 439268029.0 2834 0.993
: 439268030.0 2710 0.970
: 439268031.0 2295 0.986
: 439268032.0 2560 0.981
: 439268035.0 4127 0.988
: 439268042.0 2170 0.955
: 439268043.0 2379 0.981
: 439268050.0 2017 1.000
: 439268051.0 2310 1.000
: 439268052.0 2142 1.000
: 439268053.0 2030 1.000
: 439268056.0 3516 0.963
: 439268058.0 3165 0.992
: 439268059.0 2298 1.000
: 439268068.0 2407 0.999
: 439268074.0 2181 0.998
: 439268076.0 2348 0.969
: 439268077.0 2118 1.000
: 439268078.0 2502 0.996
: 439268090.0 2650 0.988
: 439268091.0 2152 1.000
: 439268092.0 2456 1.000
: 439268093.0 2290 1.000
: 439268094.0 2088 1.000
: 439268096.0 2396 1.000
: 439268097.0 2204 1.000
: 439268098.0 2602 0.988
: 439268099.0 2613 0.998
: 439268100.0 2413 0.994
: 439268101.0 2384 0.960
: 439268102.0 2744 0.975
: 439268105.0 2274 1.000
: 439268106.0 2265 0.980
: 439268107.0 2093 0.971
: 439268109.0 2627 0.937
: 439268111.0 2554 0.902
: 439268112.0 2147 0.905
: 439268113.0 3582 0.937
: 439268114.0 2778 0.950
: 439268115.0 2563 0.976
: 439268116.0 2586 0.970
: 439268117.0 2229 0.994
: 439268120.0 2289 0.983
: 439268121.0 2535 0.992
: 439268122.0 2168 0.990
: 439268123.0 2600 0.992
: 439268124.0 2106 0.990
: 439268125.0 2504 0.989
: 439268126.0 2208 0.988
: 439268147.0 2099 1.000
: 439268148.0 2446 1.000
: 439268149.0 2157 1.000
: 439268150.0 2242 1.000
: 439268155.0 2267 1.000
: 439268156.0 2134 1.000
: 439268158.0 2064 1.000
: 439268159.0 2131 1.000
: 439268163.0 2183 1.000
: 439268171.0 2403 1.000
: 439268190.0 2100 1.000
: 439268198.0 2161 0.999
: 439268222.0 2534 1.000
: 439268223.0 2605 1.000
: 439268224.0 2391 1.000
: 439268225.0 2565 0.997
: 439268226.0 2733 0.995
: 439268227.0 2687 0.993
: 439268228.0 2509 0.989
: 439268229.0 2620 0.995
: 439268230.0 2540 0.993
: 439268237.0 2187 1.000
: 439268238.0 2217 1.000
: 439268239.0 2613 0.992
: 439268240.0 2349 1.000
: 439268241.0 2502 0.996
: 439268242.0 2519 1.000
: 439268243.0 2420 1.000
: 439268244.0 2714 0.996
: 439268245.0 2632 0.988
: 439268266.0 2279 0.858
: 439268267.0 2313 1.000
: 439268269.0 2118 0.983
: 439268271.0 2898 0.892
: 439268275.0 4137 0.949
: 439268277.0 2186 0.967
: 439268278.0 3235 0.985
: 439268279.0 2061 1.000
: 439268280.0 2171 0.992
: 439268281.0 2241 0.971
: 439268306.0 2232 1.000
: 439268309.0 2478 1.000
: 439268313.0 2186 0.927
: 439268314.0 2852 0.925
: 439268318.0 2661 1.000
: 439268319.0 2593 0.978
: 439268320.0 2350 1.000
: 439268326.0 2503 1.000
: 439268327.0 2603 0.999
: 439268328.0 2650 0.985
: 439268329.0 2478 1.000
: 439268330.0 2635 1.000
: 439268331.0 2430 0.988
: 439268343.0 2278 1.000
: 439268349.0 2220 0.868
: 439268350.0 2642 0.883
: 439268352.0 2832 0.906
: 439268353.0 2094 0.923
: 439268355.0 2003 0.834
: 439268356.0 2679 0.895
: 439268358.0 2118 0.864
: 439268359.0 2045 0.833
: 439268361.0 2273 0.906
: 439268364.0 2919 0.905
: 439268365.0 2862 0.980
: 439268366.0 2755 0.981
: 439268372.0 4477 0.938
: 439268653.0 3327 0.902
: 439268681.0 2529 0.863
Total number of 1 second bins: 7224
Bins with >0 counts : 7224
Bins with >2000 counts : 344
344 of 344 high count rate bins were dominated by noise
Noise dominated 4.76% of total time, 4.76% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 439261734.0 2567 0.891
: 439261747.0 2386 0.892
: 439261749.0 2005 0.818
: 439261750.0 2460 0.853
: 439261758.0 3658 0.925
: 439261759.0 2079 0.877
: 439261760.0 2357 0.923
: 439261761.0 2189 0.895
: 439261762.0 2906 0.901
: 439261763.0 2758 0.905
: 439261764.0 2114 0.928
: 439261766.0 2984 0.907
: 439261768.0 2380 0.886
: 439261769.0 2742 0.891
: 439261771.0 2383 0.885
: 439261774.0 3227 0.919
: 439261777.0 2968 0.929
: 439261780.0 2190 0.862
: 439261781.0 2042 0.916
: 439261782.0 3751 0.967
: 439261783.0 2837 0.973
: 439261784.0 2828 0.986
: 439261787.0 2351 0.936
: 439261788.0 2404 0.876
: 439261789.0 2283 0.927
: 439261790.0 3443 0.940
: 439261791.0 2370 0.920
: 439261794.0 2352 0.904
: 439261796.0 3205 0.908
: 439261802.0 3000 0.917
: 439261803.0 2284 0.926
: 439261804.0 2335 0.902
: 439261814.0 2169 0.851
: 439261815.0 2180 0.890
: 439261816.0 2110 0.873
: 439261838.0 2290 0.878
: 439261851.0 2739 0.897
: 439261856.0 2732 0.913
: 439261857.0 2191 0.923
: 439261861.0 2567 0.896
: 439261865.0 2132 0.865
: 439261866.0 2064 0.904
: 439261870.0 2335 0.868
: 439261877.0 2680 0.896
: 439261902.0 2441 0.891
: 439261906.0 3323 0.912
: 439261908.0 2691 0.896
: 439261917.0 2072 0.878
: 439261924.0 2147 0.850
: 439261925.0 2541 0.890
: 439261968.0 3299 0.929
: 439261970.0 3455 0.915
: 439261979.0 4743 0.988
: 439261980.0 2389 0.956
: 439261981.0 2321 0.956
: 439261983.0 2300 0.883
: 439261994.0 2375 0.917
: 439262002.0 2529 0.894
: 439262004.0 2188 0.828
: 439262005.0 3496 0.949
: 439262028.0 4144 0.938
: 439262029.0 2506 0.949
: 439262030.0 2599 0.925
: 439262031.0 2259 0.933
: 439262032.0 2395 0.942
: 439262033.0 2749 0.921
: 439262039.0 5121 0.967
: 439262041.0 2207 0.862
: 439262046.0 3252 0.908
: 439262055.0 4215 0.939
: 439262088.0 3378 0.951
: 439262089.0 2664 0.971
: 439262095.0 2042 0.890
: 439262096.0 4414 0.949
: 439262098.0 2436 0.923
: 439262108.0 2527 0.876
: 439262109.0 2016 0.927
: 439262140.0 3181 0.920
: 439262141.0 3921 0.974
: 439262143.0 2732 0.913
: 439262176.0 2679 0.881
: 439262190.0 3259 0.917
: 439262198.0 2687 0.912
: 439262221.0 3192 0.928
: 439262318.0 2809 0.942
: 439262319.0 2626 0.888
: 439262320.0 3526 0.914
: 439262325.0 2117 0.869
: 439262330.0 4332 0.955
: 439262331.0 2652 0.998
: 439262332.0 2492 0.970
: 439262338.0 2812 0.879
: 439262367.0 2424 0.882
: 439262368.0 2989 0.893
: 439262369.0 3261 0.987
: 439262370.0 2660 0.977
: 439262372.0 3603 0.937
: 439262392.0 3405 0.954
: 439262393.0 3037 0.937
: 439262395.0 4113 0.962
: 439262396.0 2689 1.000
: 439262397.0 2888 0.988
: 439262471.0 2797 0.894
: 439262480.0 3133 0.927
: 439262481.0 2481 0.946
: 439262482.0 3818 0.953
: 439262483.0 2361 0.948
: 439262486.0 4328 0.946
: 439262488.0 2563 0.892
: 439262534.0 4084 0.935
: 439262535.0 2208 0.952
: 439262539.0 2126 0.847
: 439262573.0 2751 0.906
: 439262593.0 2034 0.847
: 439262631.0 3725 0.933
: 439262633.0 2967 0.966
: 439262634.0 2287 0.937
: 439262635.0 3476 0.977
: 439262636.0 2130 0.954
: 439262637.0 2056 0.954
: 439262644.0 2390 0.866
: 439262761.0 3053 0.916
: 439262762.0 2116 0.903
: 439262859.0 3228 0.931
: 439262979.0 4302 0.940
: 439263022.0 2278 0.881
: 439263024.0 3388 0.940
: 439263074.0 2354 0.878
: 439263084.0 2549 0.893
: 439263199.0 2710 0.889
: 439263227.0 4233 0.958
: 439263232.0 2287 0.909
: 439263627.0 3688 0.937
: 439263757.0 2128 0.902
: 439263758.0 4426 0.972
: 439263759.0 2872 0.967
: 439263760.0 2132 1.000
: 439263761.0 2209 0.976
: 439263808.0 2157 0.851
: 439263810.0 2317 0.856
: 439263812.0 2976 0.930
: 439263813.0 2457 0.909
: 439263814.0 4097 0.964
: 439263815.0 2349 1.000
: 439263816.0 2980 0.997
: 439263817.0 2850 0.989
: 439263818.0 2224 0.959
: 439263820.0 4192 0.953
: 439263821.0 2095 0.942
: 439263822.0 2309 0.947
: 439263823.0 2471 0.942
: 439263824.0 2844 0.969
: 439263825.0 2396 0.995
: 439263834.0 3831 0.939
: 439263855.0 4668 0.946
: 439263929.0 2966 0.903
: 439263930.0 3542 0.990
: 439263932.0 3897 0.943
: 439263935.0 3246 0.916
: 439263937.0 2452 0.834
: 439263946.0 2790 0.865
: 439263962.0 2879 0.912
: 439263964.0 4556 0.969
: 439263965.0 2654 0.981
: 439263966.0 2779 0.974
: 439263967.0 2765 0.984
: 439263968.0 2557 0.973
: 439263969.0 2119 0.966
: 439263970.0 2850 0.973
: 439263971.0 2568 0.972
: 439263972.0 2686 1.000
: 439263974.0 3079 0.900
: 439264029.0 4142 0.972
: 439264037.0 2103 0.846
: 439264038.0 2102 0.845
: 439264040.0 3793 0.921
: 439264048.0 2087 0.837
: 439264067.0 2242 0.903
: 439264077.0 2064 0.824
: 439264078.0 2599 0.892
: 439264079.0 2242 0.920
: 439264088.0 2056 0.903
: 439264104.0 2437 0.830
: 439264105.0 2440 0.926
: 439264106.0 2557 0.905
: 439264107.0 2518 0.918
: 439264108.0 3746 0.982
: 439264230.0 4838 0.937
: 439264242.0 2779 0.924
: 439264243.0 3762 0.946
: 439264244.0 3044 0.950
: 439264246.0 2082 0.933
: 439264247.0 2229 0.836
: 439264248.0 2624 0.885
: 439264249.0 3962 0.982
: 439264250.0 2827 0.980
: 439264251.0 2807 0.994
: 439264252.0 2780 0.992
: 439264253.0 2959 0.992
: 439264254.0 2814 0.994
: 439264255.0 2810 0.995
: 439264257.0 2313 0.965
: 439264258.0 4397 0.961
: 439264260.0 2499 0.935
: 439264261.0 2104 0.875
: 439264262.0 2038 0.844
: 439264263.0 2360 0.869
: 439264264.0 3146 0.914
: 439264268.0 2208 0.870
: 439264269.0 3769 0.915
: 439264270.0 2282 0.950
: 439264272.0 2698 0.866
: 439264273.0 2314 0.895
: 439264274.0 3216 0.940
: 439264275.0 3544 0.967
: 439264277.0 2756 0.903
: 439264278.0 2236 0.886
: 439264279.0 2144 0.901
: 439264280.0 2429 0.883
: 439264281.0 2618 0.883
: 439264285.0 3826 0.925
: 439264286.0 3325 0.962
: 439264291.0 2665 0.901
: 439264293.0 2211 0.864
: 439264369.0 2152 0.842
: 439264370.0 2026 0.839
: 439264390.0 2382 0.888
: 439264397.0 2217 0.858
: 439264398.0 2430 0.902
: 439264592.0 2566 0.895
: 439264597.0 2129 0.820
: 439264702.0 2915 0.903
: 439264712.0 3080 0.931
: 439264714.0 2839 0.889
: 439264715.0 2067 0.916
: 439264717.0 2404 0.861
: 439264719.0 2075 0.835
: 439264720.0 2966 0.906
: 439264770.0 3060 0.886
: 439264933.0 2065 0.866
: 439264968.0 4916 0.963
: 439264971.0 3976 0.930
: 439265125.0 2428 0.862
: 439265191.0 2526 0.863
: 439265192.0 2141 0.857
: 439265194.0 2159 0.864
: 439265210.0 2359 0.885
: 439265227.0 2044 0.841
: 439265235.0 2753 0.879
: 439265236.0 2343 0.876
: 439265237.0 2590 0.876
: 439265239.0 2427 0.855
: 439265240.0 2399 0.893
: 439265241.0 2802 0.912
: 439266515.0 2009 0.824
: 439266517.0 2007 0.841
: 439266543.0 2069 0.872
: 439266745.0 2146 0.861
: 439266932.0 2764 0.902
: 439266933.0 2063 0.845
: 439266936.0 2193 0.859
: 439266953.0 3518 0.916
: 439267576.0 2431 0.873
: 439267636.0 3898 0.918
: 439267637.0 2742 0.959
: 439267715.0 3154 0.910
: 439267721.0 3771 0.927
: 439267759.0 2974 0.989
: 439267761.0 2337 0.871
: 439267771.0 2410 0.999
: 439267781.0 3982 0.983
: 439267782.0 2709 0.976
: 439267783.0 2801 0.985
: 439267784.0 2376 1.000
: 439267786.0 3971 0.984
: 439267787.0 2596 0.983
: 439267788.0 2542 0.972
: 439267790.0 3337 0.987
: 439267809.0 2095 0.838
: 439267810.0 2292 0.915
: 439267824.0 4862 0.953
: 439267868.0 2459 0.862
: 439267869.0 2488 0.905
: 439267870.0 2719 0.887
: 439267873.0 3455 0.934
: 439267874.0 2147 0.876
: 439268006.0 3626 0.936
: 439268233.0 2159 0.860
: 439268234.0 4297 0.955
: 439268235.0 2684 1.000
: 439268237.0 2211 0.862
: 439268238.0 2902 0.904
: 439268239.0 2041 0.891
: 439268243.0 2582 0.881
: 439268295.0 4180 0.930
: 439268296.0 2561 0.957
: 439268322.0 2248 0.874
: 439268346.0 3411 0.931
: 439268348.0 3046 0.910
: 439268351.0 2877 0.894
: 439268381.0 3852 0.924
Total number of 1 second bins: 7223
Bins with >0 counts : 7223
Bins with >2000 counts : 301
301 of 301 high count rate bins were dominated by noise
Noise dominated 4.17% of total time, 4.17% of detector on time (defined as non-zero counts)