Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 338168990.0 3993 0.930 : 338169029.0 2769 0.807 : 338169030.0 2173 0.843 : 338169035.0 2159 0.792 : 338169039.0 3687 0.954 : 338169040.0 2638 0.992 : 338169041.0 2489 0.988 : 338169045.0 2476 0.937 : 338169047.0 2383 0.986 : 338169052.0 2525 0.883 : 338170378.0 2240 0.821 : 338170578.0 2481 0.854 : 338170951.0 2707 0.861 : 338170953.0 2861 0.865 : 338171067.0 2278 0.822 : 338171449.0 2467 0.882 : 338171671.0 2122 0.818 : 338171673.0 2605 0.829 : 338171698.0 2459 0.837 : 338171699.0 2076 0.820 : 338171700.0 2329 0.835 : 338171717.0 2754 0.868 : 338171720.0 2191 0.820 : 338171733.0 2392 0.832 : 338172447.0 3025 0.901 : 338172472.0 2698 0.849 : 338172491.0 2658 0.864 : 338172495.0 2668 0.836 : 338172496.0 2590 0.985 : 338172497.0 2123 0.859 : 338172498.0 2641 0.926 : 338172505.0 3537 0.900 : 338172745.0 3897 0.947 : 338172871.0 3417 0.915 : 338172872.0 2625 0.968 : 338172914.0 2279 0.806 : 338172954.0 2413 0.823 : 338172955.0 2134 0.863 : 338173198.0 2466 0.838 : 338173200.0 2211 0.827 : 338173325.0 2997 0.855 : 338174965.0 2602 0.947 : 338174966.0 2546 0.968 : 338174967.0 2434 0.938 : 338174968.0 2689 0.949 : 338174969.0 2735 0.936 : 338174970.0 2373 0.906 : 338174971.0 2539 0.887 : 338174972.0 2522 0.872 : 338174973.0 2264 0.803 Total number of 1 second bins: 7772 Bins with >0 counts : 6383 Bins with >2000 counts : 50 50 of 50 high count rate bins were dominated by noise Noise dominated 0.64% of total time, 0.78% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 338168722.0 2503 0.694 : 338168723.0 2144 0.843 : 338168724.0 2129 0.890 : 338168729.0 2307 0.934 : 338168730.0 2223 0.925 : 338168731.0 2147 0.780 : 338168732.0 2149 0.963 : 338168733.0 2208 0.918 : 338168734.0 2175 0.849 : 338168739.0 2077 0.933 : 338168740.0 2281 0.937 : 338168742.0 2337 0.905 : 338168743.0 2347 0.912 : 338168744.0 2232 0.837 : 338168745.0 2408 0.912 : 338168746.0 2414 0.896 : 338168748.0 2390 0.881 : 338168749.0 2085 0.843 : 338168750.0 2074 0.837 : 338168751.0 2050 0.780 : 338168754.0 2251 0.827 : 338168755.0 2206 0.836 : 338168756.0 2449 0.864 : 338168757.0 2203 0.807 : 338168759.0 2838 0.859 : 338168760.0 2075 0.888 : 338168761.0 2493 0.927 : 338168762.0 2089 0.808 : 338168763.0 2509 0.907 : 338168764.0 2338 0.827 : 338168765.0 2287 0.828 : 338168766.0 2417 0.856 : 338168767.0 2065 0.788 : 338168768.0 2406 0.863 : 338168769.0 2449 0.837 : 338168771.0 2040 0.848 : 338168772.0 2383 0.844 : 338168773.0 2318 0.877 : 338168775.0 2970 0.881 : 338168776.0 2490 0.919 : 338168777.0 2256 0.889 : 338168778.0 2552 0.908 : 338168779.0 2657 0.900 : 338168780.0 2427 0.896 : 338168781.0 2249 0.858 : 338168782.0 2565 0.916 : 338168783.0 2672 0.933 : 338168784.0 2445 0.930 : 338168785.0 2242 0.959 : 338168786.0 2455 0.880 : 338168787.0 2382 0.852 : 338168788.0 2353 0.865 : 338168789.0 2439 0.958 : 338168790.0 2287 0.976 : 338168791.0 2402 0.983 : 338168792.0 2241 0.992 : 338168793.0 2189 0.943 : 338168794.0 2592 0.955 : 338168795.0 2098 0.963 : 338168796.0 2292 0.903 : 338168797.0 2448 0.955 : 338168798.0 2134 0.977 : 338168799.0 2546 0.886 : 338168800.0 2171 0.867 : 338168801.0 2006 0.827 : 338168802.0 2371 0.899 : 338168803.0 2120 0.934 : 338168804.0 2208 0.966 : 338168806.0 2468 0.983 : 338168807.0 2479 0.978 : 338168808.0 2544 0.976 : 338168809.0 2782 0.971 : 338168810.0 2242 0.933 : 338168811.0 2433 0.919 : 338168812.0 2630 0.896 : 338168813.0 2349 0.916 : 338168814.0 2225 0.869 : 338168815.0 2472 0.942 : 338168816.0 2179 0.996 : 338168817.0 2476 0.968 : 338168818.0 2604 0.960 : 338168819.0 2398 0.878 : 338168820.0 2233 0.917 : 338168821.0 2175 0.817 : 338168822.0 2344 0.844 : 338168823.0 2118 0.828 : 338168824.0 2437 0.925 : 338168825.0 2517 0.954 : 338168826.0 2599 0.962 : 338168827.0 2441 0.923 : 338168828.0 2595 0.889 : 338168829.0 2374 0.913 : 338168831.0 2232 0.786 : 338168832.0 3053 0.850 : 338168833.0 2636 0.835 : 338168834.0 2156 0.787 : 338168835.0 2363 0.902 : 338168836.0 2470 0.857 : 338168837.0 2495 0.884 : 338168839.0 2911 0.840 : 338168840.0 2122 0.852 : 338168841.0 2272 0.824 : 338168842.0 2867 0.894 : 338168843.0 2541 0.939 : 338168844.0 2469 0.854 : 338168845.0 2502 0.871 : 338168846.0 2006 0.841 : 338168847.0 2341 0.883 : 338168848.0 2551 0.937 : 338168849.0 2417 0.908 : 338168850.0 2564 0.902 : 338168851.0 2573 0.895 : 338168852.0 2376 0.921 : 338168853.0 2280 0.914 : 338168854.0 2538 0.897 : 338168855.0 2519 0.869 : 338168856.0 2559 0.867 : 338168857.0 2386 0.846 : 338168858.0 2034 0.814 : 338168859.0 2231 0.840 : 338168860.0 2489 0.862 : 338168861.0 2289 0.852 : 338168862.0 2545 0.872 : 338168863.0 2159 0.863 : 338168864.0 2585 0.926 : 338168865.0 2257 0.844 : 338168866.0 2452 0.869 : 338168867.0 2068 0.945 : 338168868.0 2343 0.951 : 338168870.0 2077 0.969 : 338168871.0 2059 0.812 : 338168884.0 2691 0.870 : 338168887.0 2109 0.716 : 338168888.0 2497 0.859 : 338168900.0 2636 0.795 : 338168903.0 2942 0.836 : 338168909.0 3397 0.877 : 338168910.0 2547 0.901 : 338168911.0 2465 0.871 : 338168912.0 2489 0.953 : 338168913.0 2309 0.879 : 338168914.0 2280 0.994 : 338168915.0 2675 0.935 : 338168916.0 2469 0.844 : 338168917.0 2559 0.863 : 338168918.0 2082 0.845 : 338168919.0 2222 0.919 : 338168920.0 2590 0.961 : 338168922.0 2160 0.965 : 338168926.0 2347 0.938 : 338168934.0 2289 0.957 : 338168941.0 2140 0.860 : 338168943.0 2161 0.973 : 338168944.0 2347 0.964 : 338168945.0 2237 0.905 : 338168946.0 2333 0.955 : 338168947.0 2724 0.949 : 338168948.0 2065 0.994 : 338168949.0 2395 0.963 : 338168950.0 2365 0.968 : 338168951.0 2430 0.967 : 338168953.0 2060 0.977 : 338168954.0 2064 0.997 : 338168955.0 2481 0.980 : 338168956.0 2268 0.981 : 338168957.0 2196 0.989 : 338168959.0 2439 0.947 : 338168967.0 2109 0.829 : 338168968.0 2563 0.948 : 338168969.0 2242 0.968 : 338168971.0 2474 0.996 : 338168972.0 2316 0.966 : 338168973.0 2399 0.994 : 338168975.0 2130 0.985 : 338168976.0 2526 0.984 : 338168977.0 2526 0.985 : 338168978.0 2324 0.965 : 338168980.0 2524 0.984 : 338168983.0 2286 0.976 : 338169010.0 2331 0.880 : 338169011.0 2640 0.983 : 338169012.0 2424 0.992 : 338169013.0 2515 0.979 : 338169014.0 2166 0.989 : 338169015.0 2231 0.983 : 338169016.0 2086 0.998 : 338169017.0 2317 0.980 : 338169018.0 2600 0.951 : 338169019.0 2240 0.951 : 338169020.0 2155 0.983 : 338169021.0 2381 0.979 : 338169022.0 2570 0.982 : 338169023.0 2605 0.983 : 338169024.0 2471 0.992 : 338169026.0 2410 0.988 : 338169027.0 2537 0.991 : 338169028.0 2077 0.973 : 338169029.0 2458 0.975 : 338169030.0 2408 0.946 : 338169031.0 2394 0.980 : 338169032.0 2233 0.991 : 338169033.0 2206 0.980 : 338169034.0 2420 0.983 : 338169035.0 2351 0.975 : 338169036.0 2160 0.962 : 338169037.0 2442 0.984 : 338169038.0 2551 0.958 : 338169039.0 2200 1.000 : 338169041.0 2085 0.991 : 338169042.0 2035 0.988 : 338169043.0 2146 0.893 : 338169044.0 2762 0.976 : 338169045.0 2438 0.982 : 338169046.0 2595 0.980 : 338169047.0 2442 0.950 : 338169048.0 2193 0.980 : 338169049.0 2240 0.946 : 338169051.0 3068 0.897 : 338169052.0 2408 0.941 : 338169053.0 2492 0.951 : 338169054.0 2496 0.971 : 338169057.0 2057 0.991 : 338169061.0 2286 0.992 : 338169086.0 2194 0.763 : 338169087.0 3215 0.943 : 338169089.0 2454 1.000 : 338169148.0 2824 0.894 : 338169149.0 2324 0.923 : 338169150.0 2836 0.960 : 338169151.0 2706 0.953 : 338169152.0 2282 0.930 : 338169155.0 2208 0.861 : 338169156.0 2425 0.889 : 338169161.0 2029 0.992 : 338169164.0 2327 0.943 : 338169165.0 2292 1.000 : 338169228.0 2594 0.835 : 338169229.0 2145 0.859 : 338169230.0 2002 0.859 : 338169231.0 2312 0.818 : 338169233.0 2760 0.850 : 338169235.0 2451 0.898 : 338169238.0 2392 0.834 : 338169239.0 2145 0.832 : 338169248.0 2203 0.873 : 338169250.0 2894 0.842 : 338169253.0 2131 0.893 : 338169256.0 2361 0.982 : 338169269.0 2046 1.000 : 338169270.0 2282 1.000 : 338169314.0 2152 0.854 : 338169315.0 2868 0.978 : 338169316.0 2074 0.842 : 338169319.0 2153 0.815 : 338169321.0 2011 0.845 : 338169323.0 2025 1.000 : 338169333.0 2066 0.872 : 338169337.0 3018 0.913 : 338169344.0 2845 0.901 : 338169367.0 3385 0.966 : 338169370.0 2124 1.000 : 338169376.0 3237 1.000 : 338169402.0 2024 0.992 : 338169405.0 2212 1.000 : 338170058.0 2152 0.789 : 338170576.0 2617 0.830 : 338170577.0 2748 0.967 : 338170578.0 2181 0.916 : 338170579.0 2248 0.879 : 338170581.0 2668 0.877 : 338170583.0 2522 0.868 : 338170584.0 2438 0.888 : 338170585.0 2667 0.957 : 338170586.0 2226 0.883 : 338170587.0 2081 0.909 : 338170591.0 2320 0.846 : 338170592.0 2266 0.860 : 338170593.0 2828 0.886 : 338170594.0 2504 0.940 : 338170596.0 2259 0.892 : 338170597.0 2444 0.930 : 338170598.0 2512 0.934 : 338170599.0 2500 0.944 : 338170600.0 2716 0.962 : 338170601.0 2349 0.907 : 338170602.0 2051 0.869 : 338170603.0 2628 0.971 : 338170604.0 2610 0.953 : 338170605.0 2430 0.963 : 338170606.0 2324 0.917 : 338170607.0 2065 0.881 : 338170608.0 2512 0.894 : 338170609.0 2382 0.907 : 338170610.0 2076 0.896 : 338170612.0 3226 0.909 : 338170696.0 2906 0.863 : 338170701.0 3190 0.917 : 338170785.0 2724 0.851 : 338170787.0 2637 0.864 : 338170788.0 2052 0.864 : 338170797.0 2598 0.847 : 338170798.0 2508 0.961 : 338170799.0 2411 0.970 : 338170808.0 3364 0.913 : 338170810.0 2010 0.825 : 338170811.0 2090 0.830 : 338170821.0 2598 0.922 : 338170823.0 2880 0.870 : 338170834.0 3627 0.968 : 338170835.0 2483 0.958 : 338170837.0 2481 0.860 : 338171030.0 2817 0.859 : 338171035.0 2393 0.829 : 338171184.0 2600 0.865 : 338171261.0 2840 0.878 : 338171340.0 2776 0.868 : 338171427.0 3799 0.926 : 338171428.0 2430 0.935 : 338171429.0 2240 0.917 : 338171430.0 2730 0.928 : 338171431.0 2355 0.932 : 338171432.0 2572 0.910 : 338171433.0 2663 0.958 : 338171434.0 2680 0.961 : 338171436.0 2516 0.940 : 338171438.0 2002 0.845 : 338171439.0 2744 0.882 : 338171441.0 3050 0.874 : 338171443.0 2071 0.845 : 338171444.0 2259 0.783 : 338171452.0 2561 0.858 : 338171453.0 2128 0.832 : 338171454.0 2266 0.872 : 338171512.0 3992 0.969 : 338171513.0 2702 0.986 : 338171514.0 2500 0.990 : 338171515.0 2657 0.991 : 338171518.0 2476 0.837 : 338171519.0 2199 0.811 : 338171550.0 2316 0.840 : 338171553.0 3258 0.897 : 338171556.0 2820 0.924 : 338171597.0 2197 0.777 : 338171606.0 2748 0.862 : 338171623.0 2539 0.863 : 338171657.0 2031 0.825 : 338171660.0 2186 0.818 : 338171664.0 2640 0.830 : 338171666.0 2106 0.836 : 338171669.0 3414 0.879 : 338171670.0 2157 0.867 : 338171672.0 2346 0.818 : 338171673.0 2447 0.863 : 338171675.0 2995 0.916 : 338171676.0 2028 0.892 : 338171678.0 2078 0.863 : 338171682.0 3217 0.910 : 338171683.0 2318 0.880 : 338171684.0 2043 0.844 : 338171685.0 2191 0.885 : 338171686.0 2168 0.875 : 338171687.0 2575 0.923 : 338171688.0 2590 0.956 : 338171690.0 2718 0.872 : 338171693.0 2094 0.852 : 338171696.0 2305 0.830 : 338171697.0 2360 0.886 : 338171699.0 2263 0.825 : 338171704.0 2181 0.827 : 338171707.0 3277 0.922 : 338171708.0 2683 0.956 : 338171709.0 2790 0.965 : 338171846.0 2049 0.792 : 338171892.0 2097 0.826 : 338171895.0 2703 0.856 : 338171896.0 2648 0.944 : 338171898.0 3138 0.890 : 338172043.0 2378 0.827 : 338172044.0 2267 0.911 : 338172045.0 2604 0.965 : 338172046.0 2077 0.857 : 338172053.0 2582 0.829 : 338172081.0 2651 0.848 : 338172087.0 2456 0.818 : 338172093.0 3108 0.872 : 338172103.0 3748 0.942 : 338172104.0 2788 0.966 : 338172105.0 2694 0.961 : 338172106.0 2819 0.927 : 338172107.0 2799 0.977 : 338172108.0 2766 0.977 : 338172109.0 2693 0.957 : 338172110.0 2576 0.953 : 338172111.0 2857 0.978 : 338172112.0 2020 0.900 : 338172113.0 2709 0.984 : 338172114.0 2675 0.987 : 338172115.0 2754 0.948 : 338172116.0 2699 0.964 : 338172117.0 2696 0.965 : 338172118.0 2789 0.980 : 338172119.0 2693 0.970 : 338172120.0 2099 0.863 : 338172202.0 2466 0.815 : 338172203.0 2447 0.895 : 338172205.0 2558 0.843 : 338172206.0 2242 0.852 : 338172207.0 2353 0.866 : 338172210.0 2654 0.850 : 338172211.0 2633 0.910 : 338172213.0 2402 0.846 : 338172214.0 2503 0.909 : 338172220.0 3559 0.919 : 338172221.0 2481 0.907 : 338172222.0 2435 0.901 : 338172223.0 2376 0.880 : 338172224.0 2293 0.922 : 338172225.0 2667 0.961 : 338172226.0 2413 0.930 : 338172227.0 2127 0.909 : 338172228.0 2528 0.928 : 338172230.0 2975 0.885 : 338172231.0 2118 0.889 : 338172232.0 2527 0.901 : 338172233.0 2522 0.916 : 338172234.0 2283 0.891 : 338172235.0 2049 0.863 : 338172237.0 2759 0.836 : 338172239.0 2324 0.822 : 338172241.0 2052 0.810 : 338172242.0 2398 0.808 : 338172244.0 2541 0.839 : 338172245.0 2034 0.869 : 338172288.0 2025 0.776 : 338172293.0 3100 0.898 : 338172308.0 2421 0.874 : 338172310.0 2183 0.800 : 338172312.0 2623 0.889 : 338172325.0 2177 0.822 : 338172326.0 2682 0.887 : 338172327.0 2419 0.935 : 338172344.0 2903 0.895 : 338172345.0 2529 0.966 : 338172346.0 2561 0.918 : 338172352.0 2029 0.771 : 338172353.0 2139 0.827 : 338172354.0 2373 0.846 : 338172355.0 2287 0.862 : 338172356.0 2408 0.900 : 338172382.0 2143 0.827 : 338172424.0 2298 0.808 : 338172435.0 2357 0.831 : 338172702.0 2082 0.811 : 338172812.0 2284 0.806 : 338172813.0 2334 0.883 : 338172815.0 2104 0.815 : 338172817.0 2955 0.880 : 338172819.0 2972 0.878 : 338172820.0 2577 0.844 : 338172821.0 2647 0.985 : 338172822.0 2440 0.995 : 338172823.0 2638 0.974 : 338172824.0 2520 0.988 : 338172825.0 2722 0.993 : 338172826.0 2823 0.995 : 338172827.0 2794 0.999 : 338172829.0 2754 0.854 : 338172830.0 2567 0.927 : 338172831.0 2699 0.937 : 338172832.0 2590 0.959 : 338172833.0 2480 0.970 : 338172834.0 2678 0.973 : 338172835.0 2765 0.966 : 338172836.0 2602 0.993 : 338172837.0 2555 0.960 : 338172838.0 2829 0.961 : 338172839.0 2420 0.958 : 338172840.0 2665 0.968 : 338172841.0 2805 0.979 : 338172842.0 2698 0.969 : 338172843.0 2751 0.961 : 338172844.0 2796 0.972 : 338172845.0 2461 0.954 : 338172846.0 2663 0.946 : 338172847.0 2487 0.940 : 338172848.0 2719 0.949 : 338172849.0 2401 0.946 : 338172850.0 2631 0.952 : 338172851.0 2373 0.940 : 338172852.0 2731 0.959 : 338172853.0 2539 0.961 : 338172854.0 2653 0.951 : 338172855.0 2704 0.943 : 338172856.0 2563 0.956 : 338172857.0 2659 0.953 : 338172858.0 2838 0.967 : 338172859.0 2759 0.968 : 338172860.0 2640 0.964 : 338172861.0 2870 0.974 : 338172862.0 2433 0.951 : 338172863.0 2742 0.958 : 338172876.0 3701 0.943 : 338172877.0 2576 0.952 : 338172878.0 2572 0.946 : 338172879.0 2618 0.951 : 338172880.0 2601 0.951 : 338172881.0 2546 0.938 : 338172882.0 2632 0.945 : 338172883.0 2590 0.944 : 338172884.0 2547 0.945 : 338172886.0 2496 0.826 : 338172887.0 2250 0.926 : 338172888.0 2788 0.958 : 338172889.0 2269 0.910 : 338172890.0 2525 0.946 : 338172891.0 2716 0.951 : 338172892.0 2403 0.940 : 338172893.0 2486 0.924 : 338172895.0 2788 0.951 : 338172896.0 2534 0.953 : 338172897.0 2698 0.950 : 338172898.0 2563 0.934 : 338172899.0 2449 0.935 : 338172900.0 2633 0.945 : 338172901.0 2309 0.947 : 338172931.0 3038 0.907 : 338172932.0 2201 0.864 : 338172933.0 2537 0.920 : 338172936.0 2372 0.836 : 338172939.0 2093 0.785 : 338172940.0 3085 0.985 : 338172947.0 2931 0.871 : 338172949.0 2784 0.861 : 338172951.0 2518 0.835 : 338172953.0 2880 0.852 : 338172954.0 2189 0.863 : 338172966.0 2053 0.777 : 338172968.0 2356 0.848 : 338172973.0 2297 0.820 : 338172980.0 2017 0.765 : 338172982.0 2006 0.811 : 338172983.0 2047 0.804 : 338172987.0 2130 0.817 : 338172998.0 2337 0.834 : 338173150.0 3470 0.913 : 338173193.0 2222 0.859 : 338173196.0 2615 0.866 : 338173197.0 2180 0.873 : 338173216.0 2498 0.869 : 338173232.0 2952 0.857 : 338173485.0 2097 0.743 : 338175605.0 2084 0.788 : 338176259.0 2871 0.905 : 338176269.0 2398 0.828 : 338176324.0 2921 0.846 : 338176325.0 2722 0.862 : 338176334.0 3077 0.886 : 338176439.0 2096 0.807 Total number of 1 second bins: 7772 Bins with >0 counts : 6383 Bins with >2000 counts : 558 558 of 558 high count rate bins were dominated by noise Noise dominated 7.18% of total time, 8.74% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 338173101.0 2115 0.820 : 338173102.0 2151 0.805 : 338173103.0 2513 0.866 : 338173104.0 2162 0.855 : 338173107.0 2047 0.776 : 338173109.0 2089 0.815 : 338173110.0 2276 0.855 : 338173111.0 2991 0.870 : 338173112.0 2565 0.906 : 338173113.0 2529 0.924 : 338173114.0 2305 0.917 : 338173115.0 2649 0.926 : 338173402.0 2503 0.879 Total number of 1 second bins: 7772 Bins with >0 counts : 6383 Bins with >2000 counts : 13 13 of 13 high count rate bins were dominated by noise Noise dominated 0.17% of total time, 0.20% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 338168720.0 2107 0.810 : 338168721.0 2592 0.884 : 338168726.0 2009 0.611 : 338168737.0 2594 0.846 : 338168738.0 2650 0.935 : 338168739.0 2607 0.958 : 338168747.0 2612 0.767 : 338168748.0 2898 0.793 : 338168757.0 3608 0.906 : 338168760.0 3110 0.801 : 338168761.0 2858 0.899 : 338168762.0 2546 0.854 : 338168768.0 2052 0.714 : 338168787.0 3752 0.934 : 338168790.0 2358 0.768 : 338168791.0 3396 0.852 : 338168798.0 2370 0.766 : 338168800.0 3081 0.902 : 338168802.0 2973 0.914 : 338168805.0 2696 0.805 : 338168808.0 2081 0.736 : 338168809.0 2588 0.766 : 338168813.0 3415 0.856 : 338168814.0 2418 0.876 : 338168816.0 4495 0.955 : 338168817.0 2743 0.949 : 338168819.0 3260 0.904 : 338168825.0 3404 0.885 : 338168826.0 2413 0.853 : 338168827.0 2272 0.829 : 338168828.0 3046 0.917 : 338168832.0 3632 0.923 : 338168834.0 2201 0.766 : 338168862.0 2107 0.797 : 338168919.0 2728 0.829 : 338168929.0 4071 0.922 : 338168930.0 2837 0.964 : 338168932.0 3256 0.818 : 338168933.0 2461 0.914 : 338168934.0 2723 0.907 : 338168935.0 2861 0.946 : 338168936.0 2823 0.986 : 338168937.0 2524 0.938 : 338168938.0 2700 0.939 : 338168939.0 2871 0.955 : 338168940.0 2212 0.846 : 338168952.0 2205 0.777 : 338169017.0 2887 0.935 : 338169029.0 2259 0.805 : 338169030.0 2043 0.938 : 338169032.0 2266 0.850 : 338169033.0 2279 0.850 : 338169037.0 3634 0.896 : 338169058.0 2038 0.740 : 338169060.0 2201 0.804 : 338169070.0 2034 0.765 : 338169072.0 3046 0.936 : 338169078.0 3015 0.845 : 338169079.0 2458 0.932 : 338169138.0 2530 0.802 : 338169158.0 2651 0.842 : 338169160.0 2103 0.782 : 338169208.0 3830 0.906 : 338169209.0 2855 0.944 : 338169211.0 2655 0.882 : 338169212.0 2594 0.982 : 338169213.0 2146 0.857 : 338169214.0 2432 0.866 : 338169215.0 2460 0.890 : 338169216.0 2679 0.902 : 338169217.0 2538 0.910 : 338169218.0 2559 0.918 : 338169236.0 2991 0.862 : 338169248.0 2651 0.838 : 338169249.0 2512 0.982 : 338169271.0 4557 0.936 : 338169272.0 2670 0.995 : 338169273.0 2407 1.000 : 338169275.0 2382 0.963 : 338169282.0 3093 0.867 : 338169305.0 2677 0.822 : 338169312.0 2102 0.786 : 338169313.0 2741 0.907 : 338169315.0 2444 0.807 : 338169380.0 2426 0.843 : 338169385.0 2933 0.886 : 338169408.0 2238 0.815 : 338169451.0 2784 0.898 : 338169534.0 2091 0.807 : 338169763.0 2734 0.879 : 338169764.0 2820 0.972 : 338169765.0 2708 0.957 : 338169766.0 2513 0.994 : 338169767.0 2763 0.982 : 338169768.0 2591 0.974 : 338169769.0 2624 0.920 : 338169770.0 2637 0.988 : 338169771.0 2769 0.996 : 338169772.0 2686 0.983 : 338169773.0 2678 0.923 : 338169774.0 2129 0.982 : 338169775.0 2376 0.895 : 338169776.0 2714 0.985 : 338169781.0 3940 0.976 : 338169782.0 2648 0.993 : 338169783.0 2864 0.983 : 338169784.0 2713 0.931 : 338169793.0 3760 0.953 : 338169795.0 3503 0.961 : 338169807.0 4555 0.978 : 338169808.0 2054 0.857 : 338169809.0 2731 0.998 : 338169810.0 2526 1.000 : 338169811.0 2845 0.938 : 338169812.0 2524 0.943 : 338169814.0 2919 0.902 : 338169835.0 4447 0.954 : 338169836.0 2637 0.941 : 338169837.0 2821 0.963 : 338169839.0 3627 0.937 : 338169840.0 2737 0.989 : 338169883.0 2021 0.809 : 338169885.0 2922 0.880 : 338169986.0 2292 0.799 : 338169987.0 2677 0.874 : 338170025.0 2191 0.853 : 338170099.0 2195 0.835 : 338170100.0 2373 0.820 : 338170111.0 2375 0.832 : 338170157.0 2068 0.836 : 338170158.0 2295 0.825 : 338170159.0 2565 0.902 : 338170160.0 2023 0.884 : 338170161.0 2003 0.853 : 338170163.0 2135 0.801 : 338170169.0 2530 0.833 : 338170170.0 2500 0.849 : 338170171.0 2186 0.835 : 338170172.0 2620 0.876 : 338170238.0 2894 0.878 : 338170242.0 3676 0.935 : 338170248.0 2360 0.853 : 338170257.0 2173 0.834 : 338170258.0 3143 0.960 : 338170259.0 2035 0.885 : 338170260.0 2947 0.979 : 338170331.0 2021 0.841 : 338170362.0 2047 0.896 : 338170394.0 2678 0.896 : 338170406.0 2234 0.903 : 338170426.0 2664 0.958 : 338170437.0 2571 0.910 : 338170440.0 2452 0.881 : 338170441.0 2486 0.932 : 338170442.0 2070 0.913 : 338170444.0 2090 0.874 : 338170447.0 2505 0.865 : 338170793.0 2615 0.861 : 338170858.0 2293 0.840 : 338170859.0 3020 0.925 : 338170860.0 2561 0.948 : 338170862.0 2486 0.829 : 338170952.0 2035 0.842 : 338170953.0 2748 0.864 : 338171035.0 2345 0.827 : 338172003.0 2080 0.814 : 338172311.0 2936 0.880 : 338172312.0 2829 0.954 : 338172392.0 2735 0.849 : 338172396.0 2624 0.883 : 338172411.0 2028 0.815 : 338172422.0 2831 0.858 : 338172425.0 2941 0.860 : 338172434.0 2065 0.805 : 338172459.0 2412 0.835 : 338172540.0 2487 0.853 : 338172541.0 3328 0.938 : 338172584.0 2802 0.904 : 338172863.0 3153 0.880 : 338172887.0 2176 0.789 : 338172947.0 2432 0.866 : 338173154.0 2446 0.868 : 338173159.0 2228 0.804 : 338173252.0 3214 0.880 : 338173405.0 2409 0.804 : 338173480.0 2612 0.819 : 338174967.0 2912 0.790 : 338174998.0 2252 0.707 : 338175002.0 2103 0.708 : 338175061.0 2051 0.750 : 338175295.0 2776 0.843 : 338175296.0 2732 0.924 : 338175829.0 2468 0.831 : 338175923.0 3295 0.916 : 338176303.0 2299 0.839 : 338176304.0 2247 0.782 : 338176306.0 2345 0.823 : 338176350.0 2232 0.816 Total number of 1 second bins: 7772 Bins with >0 counts : 6383 Bins with >2000 counts : 198 198 of 198 high count rate bins were dominated by noise Noise dominated 2.55% of total time, 3.10% of detector on time (defined as non-zero counts)