Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 296437621.0 2059 0.832 : 296437622.0 2355 0.848 : 296437623.0 2418 0.842 Total number of 1 second bins: 7450 Bins with >0 counts : 6101 Bins with >2000 counts : 3 3 of 3 high count rate bins were dominated by noise Noise dominated 0.04% of total time, 0.05% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 296435130.0 2670 0.840 : 296435132.0 2776 0.884 : 296435133.0 2568 0.919 : 296435135.0 3039 0.889 : 296435198.0 2732 0.928 : 296435205.0 2206 0.775 : 296435237.0 2482 0.812 : 296440969.0 2003 0.687 : 296440970.0 2439 0.851 : 296440972.0 2523 0.838 : 296440973.0 2216 0.856 : 296440998.0 2557 0.812 : 296440999.0 2197 0.964 : 296441000.0 2081 0.846 : 296441468.0 2404 0.804 Total number of 1 second bins: 7450 Bins with >0 counts : 6101 Bins with >2000 counts : 15 15 of 15 high count rate bins were dominated by noise Noise dominated 0.20% of total time, 0.25% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction Total number of 1 second bins: 7450 Bins with >0 counts : 6101 Bins with >2000 counts : 0 0 of 0 high count rate bins were dominated by noise Noise dominated 0.00% of total time, 0.00% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 296434719.0 2066 0.901 : 296434720.0 2510 0.910 : 296434723.0 2272 0.842 : 296434724.0 2261 0.943 : 296434725.0 2207 0.944 : 296434726.0 2166 0.937 : 296434727.0 2434 0.898 : 296434728.0 2316 0.961 : 296434729.0 2317 0.891 : 296434730.0 2046 0.889 : 296434771.0 2864 0.846 : 296434772.0 2487 0.945 : 296434773.0 2433 0.946 : 296434776.0 3081 0.939 : 296434777.0 2732 0.948 : 296434778.0 2504 0.949 : 296434779.0 2366 0.880 : 296434790.0 2774 0.821 : 296434791.0 2333 0.913 : 296434795.0 2079 0.768 : 296434799.0 3457 0.879 : 296434801.0 2714 0.832 : 296434810.0 2039 0.777 : 296434867.0 2128 0.802 : 296434923.0 2061 0.793 : 296434924.0 2184 0.775 : 296434951.0 2060 0.804 : 296434952.0 2374 0.842 : 296434959.0 2053 0.774 : 296434965.0 2028 0.756 : 296435147.0 2327 0.823 : 296435148.0 2482 0.846 : 296435149.0 2392 0.865 : 296435222.0 3035 0.882 : 296435223.0 2429 0.844 : 296435265.0 2085 0.812 : 296435266.0 2323 0.814 : 296435320.0 2252 0.820 : 296435321.0 3351 0.902 : 296435325.0 2156 0.850 : 296435390.0 2770 0.857 : 296435391.0 2562 0.874 : 296435392.0 2084 0.895 : 296435393.0 2598 0.864 : 296435394.0 2242 0.827 : 296435396.0 2087 0.780 : 296435400.0 2082 0.806 : 296435405.0 2319 0.851 : 296435462.0 2111 0.854 : 296435499.0 3220 0.882 : 296435507.0 2274 0.843 : 296435523.0 2530 0.856 : 296435526.0 2833 0.875 : 296435527.0 2799 0.928 : 296435549.0 2502 0.859 : 296435550.0 3490 0.911 : 296435551.0 2003 0.883 : 296435557.0 2252 0.844 : 296435561.0 2720 0.875 : 296435564.0 2382 0.845 : 296435565.0 2355 0.820 : 296435572.0 3281 0.871 : 296435573.0 2344 0.896 : 296435575.0 2526 0.913 : 296435576.0 2352 0.881 : 296435577.0 2277 0.892 : 296435578.0 2580 0.914 : 296435580.0 2434 0.864 : 296435581.0 3233 0.899 : 296435593.0 3180 0.893 : 296435603.0 3256 0.886 : 296435604.0 2531 0.869 : 296435605.0 2870 0.914 : 296435607.0 2827 0.912 : 296435609.0 2500 0.849 : 296435610.0 2388 0.894 : 296435612.0 2950 0.894 : 296435613.0 2536 0.955 : 296435614.0 2604 0.921 : 296435629.0 2476 0.865 : 296435634.0 3853 0.914 : 296435637.0 2801 0.865 : 296435656.0 2429 0.843 : 296435657.0 2075 0.838 : 296435660.0 2019 0.817 : 296435661.0 3639 0.904 : 296435663.0 2098 0.838 : 296435664.0 3265 0.907 : 296435665.0 2339 0.910 : 296435666.0 2687 0.927 : 296435667.0 2476 0.935 : 296435673.0 2467 0.859 : 296435674.0 2896 0.889 : 296435675.0 2846 0.909 : 296435681.0 2939 0.881 : 296435707.0 2067 0.831 : 296435759.0 4250 0.938 : 296435762.0 3436 0.911 : 296435766.0 2752 0.871 : 296435767.0 2868 0.880 : 296435769.0 2149 0.856 : 296435770.0 2248 0.827 : 296435771.0 2498 0.869 : 296435772.0 2683 0.870 : 296435805.0 2190 0.829 : 296435806.0 2458 0.842 : 296435807.0 2088 0.844 : 296435814.0 2187 0.843 : 296435818.0 2148 0.839 : 296435843.0 2024 0.847 : 296435845.0 2384 0.830 : 296435849.0 2444 0.886 : 296435861.0 2179 0.834 : 296435952.0 2820 0.877 : 296435984.0 2612 0.891 : 296436012.0 2455 0.833 : 296436014.0 2176 0.812 : 296436021.0 2115 0.820 : 296436027.0 2009 0.852 : 296436031.0 2281 0.905 : 296436033.0 3230 0.915 : 296436035.0 2301 0.894 : 296436038.0 2025 0.840 : 296436040.0 3670 0.952 : 296436041.0 2500 0.909 : 296436042.0 2269 0.889 : 296436046.0 2141 0.848 : 296436047.0 3135 0.944 : 296436048.0 2223 0.901 : 296436050.0 2061 0.852 : 296436127.0 2413 0.870 : 296436326.0 2218 0.905 : 296436362.0 2783 0.917 : 296436366.0 3023 0.899 : 296436367.0 2572 0.931 : 296436400.0 4293 0.960 : 296436401.0 2850 0.952 : 296436489.0 3002 0.929 : 296436786.0 2002 0.833 : 296436787.0 3537 0.923 : 296436789.0 2742 0.892 : 296437154.0 2314 0.919 : 296437155.0 2336 0.993 : 296437177.0 2927 0.921 : 296437246.0 2837 0.913 : 296437307.0 3355 0.907 : 296437421.0 2030 0.855 : 296437675.0 2276 0.864 : 296438565.0 2792 0.911 : 296438760.0 3616 0.899 : 296438786.0 2351 0.843 : 296439132.0 3164 0.909 : 296439133.0 2332 0.901 : 296439172.0 2667 0.845 : 296439200.0 2377 0.785 : 296439203.0 2486 0.827 : 296439224.0 2536 0.864 : 296439227.0 2603 0.841 : 296439235.0 2693 0.853 : 296439236.0 3063 0.908 : 296439237.0 2382 0.892 : 296439238.0 2377 0.885 : 296439239.0 2577 0.931 : 296439240.0 2555 0.918 : 296439241.0 2592 0.943 : 296439242.0 2254 0.898 : 296439244.0 2108 0.816 : 296439245.0 2102 0.862 : 296439248.0 3156 0.937 : 296439250.0 2674 0.926 : 296439252.0 3060 0.944 : 296439254.0 2194 0.807 : 296439292.0 2059 0.801 : 296439314.0 2071 0.759 : 296439315.0 2184 0.801 : 296439321.0 2068 0.798 : 296439343.0 2026 0.805 : 296439344.0 2258 0.839 : 296439345.0 2580 0.950 : 296439348.0 3657 0.900 : 296439349.0 2392 0.919 : 296439352.0 2595 0.841 : 296439353.0 2288 0.878 : 296439354.0 2379 0.915 : 296439393.0 2868 0.877 : 296439446.0 2162 0.805 : 296439494.0 2739 0.799 : 296439498.0 2183 0.739 : 296439500.0 2558 0.743 : 296439502.0 2817 0.933 : 296439515.0 2136 0.730 : 296439521.0 2196 0.757 : 296440952.0 2128 0.777 : 296440954.0 2241 0.738 : 296440957.0 2424 0.753 : 296440958.0 3001 0.873 : 296440960.0 2173 0.784 : 296440964.0 2763 0.804 : 296440968.0 2265 0.725 : 296440969.0 2624 0.907 : 296440970.0 2386 0.918 : 296440971.0 2737 0.909 : 296440972.0 2318 0.939 : 296440974.0 2068 0.734 : 296440976.0 2801 0.815 : 296440978.0 2645 0.814 : 296440979.0 2412 0.857 : 296440980.0 2483 0.872 : 296440982.0 3510 0.929 : 296440983.0 2425 0.889 : 296440984.0 2042 0.838 : 296440985.0 2634 0.862 : 296440986.0 2799 0.948 : 296440987.0 2666 0.937 : 296440989.0 2647 0.949 : 296440990.0 2460 0.922 : 296440991.0 2693 0.969 : 296440992.0 2861 0.962 : 296440993.0 2582 0.926 : 296440994.0 2549 0.940 : 296440995.0 2573 0.939 : 296440996.0 2713 0.941 : 296440997.0 2649 0.932 : 296440998.0 2566 0.940 : 296440999.0 2807 0.963 : 296441000.0 2425 0.945 : 296441001.0 2829 0.990 : 296441002.0 2571 0.965 : 296441003.0 2646 0.951 : 296441004.0 2734 0.971 : 296441005.0 2575 0.945 : 296441006.0 2765 0.975 : 296441007.0 2804 0.947 : 296441008.0 2499 0.898 : 296441009.0 2844 0.942 : 296441010.0 2873 0.961 : 296441011.0 2613 0.936 : 296441012.0 2506 0.889 : 296441013.0 2492 0.920 : 296441014.0 2432 0.905 : 296441015.0 2722 0.939 : 296441016.0 2701 0.938 : 296441017.0 2653 0.969 : 296441018.0 2815 0.956 : 296441019.0 2736 0.955 : 296441020.0 2822 0.954 : 296441021.0 2465 0.934 : 296441023.0 2250 0.832 : 296441028.0 2064 0.767 : 296441029.0 2153 0.815 : 296441035.0 2772 0.828 : 296441036.0 2602 0.862 : 296441040.0 2069 0.762 : 296441042.0 4188 0.924 : 296441043.0 2578 0.971 : 296441044.0 2010 0.880 : 296441045.0 3021 0.898 : 296441046.0 2253 0.873 : 296441049.0 2117 0.780 : 296441050.0 2004 0.796 : 296441051.0 2937 0.872 : 296441053.0 2435 0.800 : 296441055.0 3257 0.887 : 296441056.0 2600 0.950 : 296441057.0 2585 0.915 : 296441066.0 2226 0.828 : 296441069.0 2843 0.833 : 296441073.0 3092 0.875 : 296441081.0 2274 0.794 : 296441082.0 2120 0.796 : 296441083.0 2324 0.818 : 296441084.0 2008 0.795 : 296441089.0 2067 0.829 : 296441090.0 2060 0.817 : 296441091.0 3459 0.888 : 296441094.0 2899 0.873 : 296441097.0 2129 0.791 : 296441100.0 2601 0.847 : 296441101.0 2990 0.913 : 296441102.0 2301 0.886 : 296441107.0 2101 0.788 : 296441111.0 2240 0.806 : 296441114.0 2385 0.854 : 296441193.0 4035 0.923 : 296441194.0 2158 0.877 : 296441204.0 2048 0.829 : 296441414.0 2274 0.830 : 296441536.0 3632 0.904 : 296441539.0 2688 0.819 : 296441543.0 3894 0.900 : 296441545.0 2703 0.874 : 296441546.0 2636 0.886 : 296441860.0 2390 0.851 : 296441981.0 2486 0.856 : 296442010.0 2783 0.875 : 296442012.0 2480 0.874 : 296442039.0 2280 0.826 Total number of 1 second bins: 7450 Bins with >0 counts : 6101 Bins with >2000 counts : 297 297 of 297 high count rate bins were dominated by noise Noise dominated 3.99% of total time, 4.87% of detector on time (defined as non-zero counts)