Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 438304205.0 2359 0.853
: 438304206.0 2629 0.903
: 438304208.0 3563 0.921
: 438304215.0 3892 0.915
: 438304217.0 2148 0.906
: 438304219.0 2257 0.857
: 438304224.0 2281 0.875
: 438304229.0 2354 0.855
: 438304231.0 2967 0.888
: 438304236.0 3363 0.894
: 438305632.0 2102 0.874
: 438306077.0 3658 0.961
: 438306079.0 3121 0.917
: 438306081.0 3182 0.892
: 438306083.0 2670 0.876
: 438306099.0 3690 0.928
: 438306101.0 3071 0.889
: 438306103.0 2893 0.909
: 438306105.0 2315 0.879
: 438306107.0 2035 0.848
: 438306108.0 2484 0.899
: 438306112.0 2373 0.877
: 438306113.0 3123 0.892
: 438306114.0 3006 0.936
: 438306117.0 3296 0.901
: 438306119.0 2125 0.813
: 438306124.0 3211 0.893
: 438306144.0 2266 0.853
Total number of 1 second bins: 7483
Bins with >0 counts : 6294
Bins with >2000 counts : 28
28 of 28 high count rate bins were dominated by noise
Noise dominated 0.37% of total time, 0.44% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 438304615.0 2969 0.889
: 438304632.0 2041 0.821
Total number of 1 second bins: 7483
Bins with >0 counts : 6294
Bins with >2000 counts : 2
2 of 2 high count rate bins were dominated by noise
Noise dominated 0.03% of total time, 0.03% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 438303512.0 2364 0.834
: 438305370.0 2713 0.872
: 438306086.0 2037 0.853
: 438306327.0 2371 0.851
: 438308016.0 2053 0.788
: 438308018.0 2298 0.783
: 438308021.0 3348 0.851
: 438308024.0 2277 0.802
: 438308025.0 2062 0.794
: 438308042.0 2250 0.858
: 438308045.0 2552 0.796
: 438308051.0 2035 0.732
Total number of 1 second bins: 7483
Bins with >0 counts : 6294
Bins with >2000 counts : 12
12 of 12 high count rate bins were dominated by noise
Noise dominated 0.16% of total time, 0.19% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 438303354.0 2906 0.910
: 438303355.0 3916 0.943
: 438303551.0 2040 0.859
: 438303552.0 2452 0.869
: 438303556.0 2185 0.840
: 438303560.0 2250 0.864
: 438303574.0 2324 0.846
: 438303596.0 2674 0.911
: 438303619.0 2291 0.860
: 438303630.0 2277 0.868
: 438303631.0 2115 0.911
: 438303634.0 2185 0.847
: 438303635.0 2759 0.879
: 438303636.0 2435 0.911
: 438303639.0 2786 0.882
: 438303641.0 2548 0.914
: 438303642.0 2578 0.898
: 438303644.0 2169 0.839
: 438303648.0 3521 0.924
: 438303651.0 2159 0.859
: 438303652.0 2060 0.828
: 438303653.0 3116 0.945
: 438303654.0 2021 0.854
: 438303655.0 2230 0.863
: 438303657.0 2310 0.897
: 438303658.0 2329 0.856
: 438303662.0 2762 0.880
: 438303663.0 2661 0.912
: 438303664.0 3076 0.946
: 438303665.0 2862 0.887
: 438303666.0 2149 0.889
: 438303667.0 2540 0.885
: 438303669.0 2422 0.839
: 438303670.0 2205 0.838
: 438303723.0 2836 0.890
: 438303748.0 4187 0.931
: 438303779.0 2355 0.860
: 438303780.0 2637 0.913
: 438303781.0 3155 0.924
: 438303782.0 2406 0.917
: 438303791.0 2124 0.909
: 438303801.0 2184 0.835
: 438303802.0 3147 0.968
: 438303808.0 2505 0.874
: 438303810.0 2113 0.831
: 438303814.0 2300 0.943
: 438303818.0 2722 0.915
: 438303819.0 2269 0.914
: 438303822.0 2067 0.817
: 438303823.0 3082 0.908
: 438303824.0 3004 0.947
: 438303827.0 3819 0.936
: 438303841.0 4074 0.940
: 438303845.0 2635 0.866
: 438303846.0 2034 0.852
: 438303847.0 2699 0.914
: 438303856.0 3450 0.901
: 438303858.0 2810 0.933
: 438303860.0 2159 0.864
: 438303861.0 2465 0.899
: 438303862.0 2616 0.916
: 438303866.0 2575 0.874
: 438303883.0 2099 0.843
: 438303884.0 2379 0.848
: 438303885.0 2071 0.845
: 438303919.0 2457 0.887
: 438303920.0 2054 0.974
: 438303938.0 2319 0.908
: 438303939.0 3378 0.916
: 438303941.0 4861 0.964
: 438303948.0 4230 0.950
: 438303962.0 4110 0.962
: 438303963.0 2086 0.942
: 438303964.0 2898 0.940
: 438303965.0 2861 0.927
: 438303966.0 3528 0.954
: 438303967.0 2498 0.966
: 438303968.0 2826 0.978
: 438303969.0 3310 0.971
: 438303970.0 2798 0.973
: 438303971.0 2704 0.973
: 438304084.0 4010 0.960
: 438304085.0 2376 0.975
: 438304087.0 2271 0.911
: 438304088.0 2106 0.891
: 438304090.0 2379 0.876
: 438304091.0 2090 0.854
: 438304094.0 3930 0.971
: 438304207.0 3896 0.949
: 438304210.0 2790 0.891
: 438304214.0 2093 0.843
: 438304235.0 3230 0.955
: 438304236.0 3758 0.930
: 438304241.0 2846 0.893
: 438304242.0 2616 0.911
: 438304243.0 2033 0.884
: 438304245.0 3357 0.935
: 438304246.0 3257 0.932
: 438304248.0 2987 0.888
: 438304289.0 2084 0.852
: 438304291.0 2304 0.865
: 438304293.0 4339 0.937
: 438304294.0 3335 0.978
: 438304296.0 2707 0.931
: 438304297.0 2085 0.899
: 438304301.0 2310 0.869
: 438304302.0 2415 0.908
: 438304303.0 2382 0.924
: 438304304.0 2620 0.935
: 438304305.0 2751 0.946
: 438304306.0 3341 0.969
: 438304307.0 2559 0.970
: 438304358.0 2670 0.870
: 438304359.0 2182 0.879
: 438304367.0 2650 0.864
: 438304368.0 2491 0.875
: 438304371.0 2339 0.852
: 438304372.0 2164 0.858
: 438304373.0 2908 0.900
: 438304374.0 2012 0.939
: 438304375.0 2696 0.930
: 438304376.0 3858 0.961
: 438304394.0 3112 0.903
: 438304421.0 4601 0.970
: 438304503.0 2637 0.855
: 438304505.0 3163 0.916
: 438304506.0 3947 0.969
: 438304507.0 2194 0.971
: 438304583.0 3440 0.903
: 438304748.0 2157 0.871
: 438305192.0 2008 0.854
: 438305197.0 2197 0.844
: 438305205.0 2442 0.863
: 438305789.0 4546 0.948
: 438305790.0 2063 0.970
: 438306008.0 2957 0.892
: 438306019.0 2735 0.909
: 438306054.0 2559 0.875
: 438306055.0 2216 0.888
: 438306056.0 2529 0.944
: 438306058.0 3156 0.929
: 438306059.0 2441 0.946
: 438306060.0 2385 0.956
: 438306061.0 2119 0.931
: 438306062.0 2794 0.977
: 438306063.0 2161 0.966
: 438306084.0 2232 0.894
: 438306086.0 2115 0.855
: 438306092.0 2747 0.871
: 438306094.0 2394 0.848
: 438306099.0 2056 0.826
: 438306104.0 2285 0.865
: 438306105.0 2353 0.869
: 438306106.0 2506 0.896
: 438306107.0 2167 0.850
: 438306109.0 2425 0.885
: 438306110.0 2162 0.847
: 438306111.0 2165 0.873
: 438306117.0 2077 0.815
: 438306118.0 2561 0.916
: 438306124.0 2162 0.883
: 438306126.0 2473 0.914
: 438306128.0 2487 0.905
: 438306154.0 2492 0.856
: 438306162.0 2594 0.961
: 438306168.0 2630 0.997
: 438306169.0 2318 0.961
: 438306183.0 2231 0.853
: 438306279.0 3731 0.943
: 438306281.0 3061 0.896
: 438306282.0 2804 0.945
: 438306283.0 2998 0.963
: 438306285.0 3636 0.976
: 438306286.0 2533 1.000
: 438306287.0 2831 0.982
: 438306289.0 3946 0.973
: 438306291.0 2135 0.948
: 438306292.0 3345 0.978
: 438306293.0 2221 1.000
: 438306294.0 2250 0.999
: 438306295.0 2564 0.983
: 438306296.0 2731 0.980
: 438306297.0 2699 0.971
: 438306298.0 2741 0.979
: 438306301.0 3557 0.945
: 438306302.0 2283 0.940
: 438306303.0 2307 0.913
: 438306304.0 3638 0.955
: 438306305.0 2564 0.972
: 438306307.0 2183 0.915
: 438306309.0 2496 0.897
: 438306310.0 3003 0.945
: 438306311.0 3483 0.940
: 438306312.0 3299 0.969
: 438306313.0 2702 0.969
: 438306314.0 2131 0.962
: 438306320.0 4124 0.926
: 438306325.0 2504 0.875
: 438306327.0 2215 0.847
: 438306328.0 3253 0.907
: 438306329.0 2438 0.885
: 438306330.0 2619 0.915
: 438306331.0 2132 0.897
: 438306332.0 3643 0.945
: 438306335.0 2244 0.862
: 438306336.0 2239 0.879
: 438306337.0 2832 0.897
: 438306339.0 2445 0.900
: 438306340.0 2258 0.839
: 438306341.0 2135 0.882
: 438306342.0 2372 0.891
: 438306344.0 2120 0.846
: 438306348.0 2227 0.880
: 438306351.0 4179 0.930
: 438306352.0 2635 0.961
: 438306353.0 2651 0.975
: 438306354.0 2086 0.964
: 438306355.0 2783 0.957
: 438306356.0 2286 0.948
: 438306358.0 4808 0.969
: 438306360.0 2754 0.928
: 438306361.0 3267 0.960
: 438306362.0 2836 0.955
: 438306440.0 2265 0.851
: 438306448.0 2385 0.847
: 438306449.0 2423 0.885
: 438306450.0 2275 0.873
: 438306597.0 2510 0.854
: 438306603.0 3517 0.903
: 438306751.0 2231 0.835
: 438306808.0 3143 0.904
: 438306810.0 2544 0.918
: 438307053.0 2531 0.891
: 438307116.0 2815 0.859
: 438307118.0 2304 0.859
: 438307619.0 2285 0.834
: 438307635.0 2154 0.865
: 438308206.0 2673 0.770
: 438308227.0 2138 0.654
: 438309431.0 2273 0.813
: 438309493.0 2045 0.836
: 438309534.0 3101 0.898
: 438309555.0 3667 0.895
: 438309562.0 2695 0.863
: 438309563.0 2482 0.909
: 438309566.0 3654 0.927
: 438309572.0 2355 0.892
: 438309573.0 3002 0.880
: 438309574.0 2045 0.878
: 438309575.0 2127 0.856
: 438309626.0 2012 0.808
: 438309627.0 2241 0.839
: 438309650.0 2028 0.828
: 438309651.0 2330 0.860
: 438309654.0 2306 0.891
: 438309661.0 2075 0.797
: 438309680.0 3097 0.882
: 438309682.0 3232 0.898
: 438309690.0 2364 0.854
: 438309692.0 2217 0.853
: 438309695.0 2122 0.843
: 438309730.0 2435 0.869
: 438309731.0 2940 0.883
: 438309772.0 2334 0.921
: 438309856.0 3010 0.891
: 438309858.0 2293 0.857
: 438309859.0 2088 0.851
: 438309865.0 2221 0.864
: 438309873.0 2183 0.994
: 438309875.0 2614 0.983
: 438309960.0 2208 0.850
: 438309961.0 2459 0.881
: 438309962.0 2051 0.826
: 438310098.0 2363 0.871
: 438310106.0 2973 0.895
: 438310203.0 2958 0.898
: 438310208.0 2540 0.854
: 438310210.0 2404 0.881
: 438310229.0 2646 0.886
: 438310268.0 3373 0.910
: 438310282.0 3254 0.905
: 438310329.0 2198 0.895
: 438310334.0 2789 0.881
: 438310335.0 3130 0.946
: 438310337.0 2599 0.931
: 438310411.0 3040 0.922
: 438310412.0 2631 0.916
: 438310422.0 2486 0.923
: 438310423.0 2469 0.867
: 438310505.0 3492 0.926
: 438310506.0 2859 0.905
: 438310517.0 2642 0.893
: 438310518.0 2031 0.863
: 438310519.0 2222 0.856
: 438310531.0 2535 0.874
: 438310532.0 2140 0.890
: 438310651.0 2285 0.880
: 438310692.0 2975 0.894
Total number of 1 second bins: 7484
Bins with >0 counts : 6295
Bins with >2000 counts : 298
298 of 298 high count rate bins were dominated by noise
Noise dominated 3.98% of total time, 4.73% of detector on time (defined as non-zero counts)