Locating noise-dominated data in quadrant 0
: Time totcounts fraction
: 433481766.0 2015 0.872
: 433481767.0 2438 0.866
: 433481787.0 2020 0.795
: 433481789.0 2038 0.827
: 433481840.0 2326 0.844
: 433481846.0 2156 0.824
: 433481849.0 2236 0.842
: 433482111.0 2318 0.855
: 433484559.0 2594 0.887
: 433484561.0 2652 0.946
: 433484562.0 2297 0.917
: 433484568.0 2076 0.880
: 433484571.0 2151 0.921
: 433488035.0 2157 0.873
: 433488036.0 2186 0.844
Total number of 1 second bins: 7025
Bins with >0 counts : 4935
Bins with >2000 counts : 15
15 of 15 high count rate bins were dominated by noise
Noise dominated 0.21% of total time, 0.30% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 1
: Time totcounts fraction
: 433481993.0 2019 0.835
Total number of 1 second bins: 7025
Bins with >0 counts : 4935
Bins with >2000 counts : 1
1 of 1 high count rate bins were dominated by noise
Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 2
: Time totcounts fraction
: 433482320.0 3561 0.960
Total number of 1 second bins: 7025
Bins with >0 counts : 4935
Bins with >2000 counts : 1
1 of 1 high count rate bins were dominated by noise
Noise dominated 0.01% of total time, 0.02% of detector on time (defined as non-zero counts)
Locating noise-dominated data in quadrant 3
: Time totcounts fraction
: 433481792.0 2637 0.996
: 433481793.0 2549 0.977
: 433481794.0 2731 0.999
: 433481795.0 2626 1.000
: 433481796.0 2680 1.000
: 433481797.0 2810 0.990
: 433481798.0 2636 0.994
: 433481799.0 2710 0.990
: 433481800.0 2376 0.940
: 433481803.0 2774 0.960
: 433481804.0 2530 0.992
: 433481805.0 2349 0.991
: 433481806.0 2625 0.978
: 433481807.0 2800 0.996
: 433481808.0 2838 1.000
: 433481809.0 2603 0.921
: 433481810.0 2748 0.985
: 433481811.0 2717 0.990
: 433481812.0 2502 0.988
: 433481813.0 2593 0.988
: 433481814.0 2603 0.975
: 433481815.0 2631 0.989
: 433481816.0 2425 0.950
: 433481817.0 2656 0.999
: 433481818.0 2717 0.995
: 433481819.0 2626 0.983
: 433481821.0 3484 0.984
: 433481822.0 2733 0.995
: 433481823.0 2728 0.991
: 433481824.0 2755 0.983
: 433481825.0 2781 0.989
: 433481826.0 2620 0.953
: 433481827.0 2752 0.995
: 433481828.0 2657 0.991
: 433481829.0 2712 0.994
: 433481830.0 2675 0.994
: 433481831.0 2768 0.992
: 433481832.0 2728 0.988
: 433481833.0 2718 0.994
: 433481834.0 2769 0.990
: 433481835.0 2734 0.982
: 433481836.0 2867 0.990
: 433481837.0 2329 0.927
: 433481838.0 2666 0.961
: 433481839.0 2505 0.981
: 433481840.0 2694 0.967
: 433481841.0 2732 0.966
: 433481842.0 2635 0.983
: 433481843.0 2828 0.994
: 433481844.0 2853 0.984
: 433481855.0 2552 0.884
: 433481856.0 2725 0.992
: 433481857.0 2605 0.980
: 433481858.0 2634 0.987
: 433481859.0 2781 0.981
: 433481860.0 2775 0.955
: 433481861.0 2845 0.996
: 433481862.0 2791 0.982
: 433481863.0 2761 0.979
: 433481864.0 2803 0.979
: 433481865.0 2774 0.955
: 433481866.0 2618 0.926
: 433481867.0 2242 0.897
: 433481869.0 3067 0.927
: 433481871.0 2917 0.989
: 433481872.0 2417 0.992
: 433481873.0 2566 0.991
: 433481874.0 2833 0.982
: 433481875.0 2679 0.983
: 433481876.0 2495 0.963
: 433481877.0 2654 0.997
: 433481878.0 2809 1.000
: 433481879.0 2666 0.995
: 433481880.0 2552 0.982
: 433481881.0 2520 0.970
: 433481882.0 2498 0.937
: 433481896.0 2723 0.954
: 433481897.0 2435 0.984
: 433481898.0 2599 0.938
: 433481899.0 2730 0.989
: 433481904.0 2587 0.928
: 433481944.0 2706 0.917
: 433481945.0 2738 0.973
: 433481946.0 2652 0.973
: 433481947.0 2606 1.000
: 433481948.0 2590 1.000
: 433481949.0 2496 1.000
: 433481950.0 2653 0.980
: 433481951.0 2601 1.000
: 433481952.0 2677 1.000
: 433481953.0 2545 0.969
: 433481954.0 2624 1.000
: 433481955.0 2250 0.994
: 433481956.0 2754 0.993
: 433481957.0 2900 0.989
: 433481958.0 2810 0.991
: 433481959.0 2727 0.997
: 433481960.0 2853 0.995
: 433481961.0 2889 0.996
: 433481962.0 2829 0.995
: 433481963.0 2804 0.995
: 433482069.0 3667 0.944
: 433482070.0 2583 0.956
: 433482071.0 2761 0.992
: 433482072.0 2855 0.984
: 433482073.0 2786 0.993
: 433482074.0 2204 0.945
: 433482075.0 2789 0.978
: 433482076.0 2555 0.973
: 433482077.0 2382 0.899
: 433482078.0 2869 0.941
: 433482079.0 2720 0.973
: 433482080.0 2752 0.978
: 433482081.0 2775 0.995
: 433482082.0 2719 0.960
: 433482083.0 2849 0.975
: 433482084.0 2832 0.960
: 433482085.0 2725 0.949
: 433482086.0 2785 0.980
: 433482087.0 2701 0.979
: 433482088.0 2699 0.972
: 433482089.0 2736 0.998
: 433482090.0 2768 0.978
: 433482091.0 2864 0.998
: 433482092.0 2524 0.941
: 433482098.0 4069 0.987
: 433482108.0 2751 0.963
: 433482109.0 2741 0.999
: 433482110.0 2600 0.983
: 433482111.0 2565 0.995
: 433482112.0 2423 1.000
: 433482113.0 2741 1.000
: 433482114.0 2669 0.981
: 433482153.0 2566 0.896
: 433482213.0 3037 1.000
: 433482262.0 2540 0.864
: 433482263.0 2645 0.990
: 433482286.0 2616 0.889
: 433482287.0 2775 0.989
: 433482295.0 2358 0.846
: 433482296.0 2381 0.923
: 433482302.0 3302 0.901
: 433482304.0 2704 0.895
: 433482306.0 2187 0.841
: 433482331.0 2267 0.861
: 433482332.0 2958 0.900
: 433482333.0 2342 0.981
: 433482418.0 2630 0.885
: 433482419.0 2747 0.929
: 433482420.0 2751 0.928
: 433482492.0 2255 0.850
: 433482518.0 2078 0.887
: 433482644.0 2451 0.867
: 433482829.0 4310 0.944
: 433482830.0 2191 0.918
: 433482880.0 2759 0.939
: 433482881.0 2548 0.956
: 433483094.0 3451 0.939
: 433483128.0 2551 0.920
: 433483152.0 2183 0.846
: 433484080.0 3596 0.986
: 433484346.0 2488 0.865
: 433484566.0 2517 0.901
: 433484567.0 2341 0.946
: 433484577.0 2798 0.898
: 433484658.0 2747 0.882
: 433484659.0 2596 0.870
: 433484661.0 2679 0.897
: 433484662.0 2631 0.972
: 433484666.0 2037 0.842
: 433484667.0 3053 0.932
: 433484799.0 2387 0.874
: 433484876.0 2328 0.851
: 433484881.0 2205 0.832
: 433484882.0 2445 0.956
: 433484883.0 2250 0.935
: 433484884.0 2400 1.000
: 433484885.0 2432 0.965
: 433484886.0 2486 0.971
: 433484887.0 2176 0.900
: 433484941.0 2395 0.861
: 433484952.0 2454 0.850
: 433484953.0 2609 0.942
: 433484954.0 2253 0.951
: 433484955.0 2507 0.937
: 433484978.0 2428 0.864
: 433484979.0 2421 0.893
: 433484982.0 2661 0.926
: 433484983.0 2630 1.000
: 433484984.0 2593 0.992
: 433484999.0 2668 0.916
: 433485004.0 2777 0.904
: 433485005.0 2031 0.955
: 433485006.0 2601 0.985
: 433485007.0 2396 1.000
: 433485008.0 2612 0.990
: 433485023.0 2082 0.824
: 433485025.0 4051 0.967
: 433485026.0 2557 0.973
: 433485027.0 2331 0.973
: 433485075.0 2722 0.961
: 433485226.0 2929 0.931
: 433485227.0 2299 0.939
: 433485228.0 2155 0.902
: 433485275.0 2136 0.821
: 433485288.0 2619 0.913
: 433485306.0 2762 1.000
: 433485307.0 2077 0.992
: 433485308.0 2140 0.886
: 433485309.0 2330 0.997
: 433485310.0 2271 0.900
: 433485312.0 3132 0.961
: 433485317.0 2028 0.847
: 433485321.0 3458 0.943
: 433485324.0 2759 0.884
: 433485325.0 2467 0.997
: 433485326.0 2124 0.951
: 433485340.0 2197 0.850
: 433485368.0 2603 0.934
: 433485371.0 3055 0.932
: 433485372.0 2244 1.000
: 433485373.0 2484 0.998
: 433485374.0 2546 0.982
: 433485376.0 2585 0.911
: 433485377.0 2285 1.000
: 433485383.0 3669 0.959
: 433485384.0 2231 0.926
: 433485387.0 3774 0.959
: 433485389.0 2561 0.873
: 433485390.0 2437 0.953
: 433485391.0 2477 0.985
: 433485392.0 2538 0.957
: 433485393.0 2628 0.941
: 433485394.0 2074 0.901
: 433485395.0 2266 0.944
: 433485407.0 2665 0.918
: 433485408.0 2487 0.994
: 433485409.0 2321 0.997
: 433485410.0 2301 1.000
: 433485411.0 2349 0.991
: 433485412.0 2293 0.988
: 433485416.0 3350 0.921
: 433485417.0 2496 0.927
: 433485418.0 2323 0.911
: 433485419.0 2001 0.873
: 433485420.0 2549 0.987
: 433485421.0 2488 1.000
: 433485422.0 2423 0.946
: 433485423.0 2467 0.995
: 433485424.0 2433 0.962
: 433485425.0 2338 0.953
: 433485426.0 2355 0.993
: 433485428.0 3331 0.948
: 433485429.0 2398 0.904
: 433485431.0 2269 0.844
: 433485433.0 2009 0.810
: 433485576.0 2464 0.859
: 433485579.0 2474 0.850
: 433485702.0 2699 0.977
: 433485703.0 2122 0.862
: 433485704.0 2401 0.927
: 433485715.0 2443 0.877
: 433485739.0 2747 0.931
: 433488035.0 2483 0.994
: 433488036.0 2382 0.951
: 433488037.0 2345 0.970
: 433488038.0 2423 0.999
: 433488039.0 2256 0.909
: 433488040.0 2206 0.946
: 433488248.0 2913 0.886
: 433488369.0 2533 0.886
: 433488572.0 2315 0.867
: 433488626.0 2349 0.867
: 433488653.0 2965 0.909
: 433488673.0 2111 0.841
: 433488674.0 3635 0.979
: 433488675.0 2889 0.984
: 433488680.0 2797 0.890
: 433488681.0 3296 0.984
: 433488683.0 2709 0.909
: 433488684.0 2615 0.915
: 433488698.0 2783 0.943
: 433488700.0 3495 0.984
: 433488702.0 3272 0.969
: 433488703.0 2363 1.000
: 433488704.0 2532 1.000
: 433488706.0 2500 0.999
: 433488707.0 2562 0.963
: 433488725.0 2367 0.895
: 433488768.0 2691 0.897
: 433488770.0 2721 0.887
: 433488771.0 2212 1.000
: 433488772.0 2395 0.980
: 433488773.0 2382 0.944
: 433488774.0 2777 0.995
: 433488775.0 2438 0.955
: 433488776.0 2029 0.888
: 433488777.0 2342 0.915
: 433488778.0 2381 0.906
: 433488780.0 2753 0.946
Total number of 1 second bins: 7025
Bins with >0 counts : 4935
Bins with >2000 counts : 300
300 of 300 high count rate bins were dominated by noise
Noise dominated 4.27% of total time, 6.08% of detector on time (defined as non-zero counts)