Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 507116850.0 2560 0.866 : 507118241.0 3771 0.901 : 507118250.0 2108 0.785 : 507118285.0 3072 0.880 : 507118510.0 2365 0.868 : 507118512.0 2089 0.882 : 507118557.0 2422 0.974 : 507118558.0 2435 0.941 : 507118559.0 2232 0.932 : 507118560.0 2301 0.904 : 507118561.0 2424 0.935 : 507118562.0 2380 0.918 : 507118563.0 2301 0.940 : 507118565.0 2228 0.956 : 507118566.0 2680 0.962 : 507118567.0 2326 0.914 : 507118571.0 2029 0.783 : 507118574.0 2565 0.890 : 507118575.0 2117 0.888 : 507118576.0 2031 0.846 : 507118579.0 2486 0.877 : 507118613.0 2316 0.808 : 507118621.0 2046 0.778 : 507118657.0 2252 0.806 : 507119037.0 2277 0.866 : 507119310.0 2378 0.855 : 507119869.0 2242 0.862 : 507120370.0 2250 0.854 : 507120371.0 3520 0.956 : 507120372.0 2411 0.968 : 507120373.0 2733 0.957 : 507120374.0 2854 0.965 : 507120375.0 2185 0.955 : 507120376.0 3226 0.960 : 507120377.0 2081 0.931 : 507120378.0 2792 0.947 : 507120380.0 3614 0.938 : 507120381.0 2066 0.948 : 507120382.0 2345 0.928 : 507120383.0 3069 0.952 : 507120386.0 2343 0.854 : 507120387.0 3679 0.955 : 507120388.0 2776 0.978 : 507120389.0 2253 0.939 : 507120390.0 2254 0.942 : 507120391.0 2798 0.939 : 507120392.0 2685 0.942 : 507120394.0 2729 0.939 : 507120395.0 2986 0.927 : 507120397.0 3724 0.947 : 507120398.0 2592 0.952 : 507120399.0 2284 0.936 : 507120401.0 2453 0.905 : 507120403.0 4034 0.943 : 507120405.0 3300 0.937 : 507120601.0 3877 0.957 : 507120602.0 2817 0.973 : 507120627.0 2009 0.877 : 507120749.0 2407 0.887 : 507120751.0 2412 0.768 : 507120753.0 2128 0.881 : 507120772.0 2132 0.865 : 507120799.0 2869 0.903 : 507120817.0 2924 0.923 : 507120818.0 2406 0.974 : 507120819.0 2572 0.981 : 507120820.0 2509 1.000 : 507120821.0 2773 0.992 : 507120822.0 2718 0.969 : 507120823.0 2535 0.979 : 507120825.0 2592 0.934 : 507120826.0 2639 0.888 : 507120827.0 2248 0.937 : 507120988.0 2230 0.850 : 507121190.0 2062 0.867 : 507121358.0 2487 0.890 : 507121369.0 2223 0.849 : 507121375.0 2043 0.863 : 507121449.0 2019 0.853 : 507121518.0 2040 0.893 : 507121608.0 2225 0.870 : 507121609.0 2141 0.858 : 507121613.0 2264 0.856 : 507121614.0 2492 0.892 : 507121723.0 2900 0.886 : 507121724.0 3102 0.939 : 507121725.0 2854 0.965 : 507121726.0 2897 0.962 : 507121728.0 3379 0.951 : 507121729.0 2010 0.930 : 507121731.0 3362 0.925 : 507121732.0 2279 0.911 : 507121733.0 2738 0.936 : 507121734.0 2531 0.944 : 507121735.0 2863 0.939 : 507121736.0 2024 0.937 : 507121737.0 2998 0.924 : 507121738.0 3204 0.946 : 507121739.0 2201 0.943 : 507121741.0 2329 0.875 : 507121742.0 2559 0.919 : 507121743.0 2266 0.864 : 507121744.0 2467 0.892 : 507121745.0 2486 0.877 : 507121746.0 2296 0.895 : 507121747.0 2457 0.888 : 507121748.0 2170 0.882 : 507121750.0 2369 0.880 : 507121751.0 2499 0.894 : 507121752.0 2219 0.908 : 507121753.0 2354 0.893 : 507121754.0 2521 0.890 : 507121755.0 2217 0.858 : 507121756.0 2550 0.891 : 507121757.0 2007 0.870 : 507121759.0 2327 0.849 : 507121760.0 2061 0.867 : 507121761.0 2137 0.872 : 507121762.0 2008 0.865 : 507121763.0 2257 0.863 : 507121764.0 2327 0.886 : 507121766.0 2154 0.854 : 507121767.0 2793 0.914 : 507121769.0 2326 0.867 : 507121770.0 2645 0.926 : 507121771.0 2537 0.914 : 507121772.0 2532 0.926 : 507121774.0 2337 0.890 : 507121776.0 2254 0.893 : 507121777.0 2836 0.901 : 507121778.0 3109 0.933 : 507121780.0 2062 0.871 : 507121782.0 2080 0.852 : 507121784.0 2078 0.847 : 507121785.0 2244 0.869 : 507121786.0 2142 0.886 : 507121787.0 2426 0.883 : 507121788.0 2156 0.885 : 507121789.0 2335 0.885 : 507121790.0 2237 0.869 : 507121791.0 2668 0.907 : 507121792.0 2113 0.889 : 507121793.0 2972 0.913 : 507121794.0 2044 0.879 : 507121795.0 2057 0.879 : 507121796.0 2567 0.906 : 507121798.0 2445 0.874 : 507121799.0 2592 0.897 : 507121800.0 2227 0.889 : 507121801.0 2043 0.875 : 507121804.0 2332 0.864 : 507121805.0 2136 0.869 : 507121811.0 2107 0.875 : 507121812.0 2157 0.878 : 507121814.0 2011 0.843 : 507121817.0 2284 0.875 : 507121818.0 2053 0.854 : 507121820.0 2286 0.854 : 507121821.0 2063 0.857 : 507121822.0 2466 0.878 : 507121823.0 2609 0.901 : 507121825.0 2527 0.898 : 507121827.0 2210 0.878 : 507121828.0 2366 0.891 : 507121829.0 2505 0.903 : 507121830.0 2288 0.865 : 507121834.0 2187 0.862 : 507121835.0 2471 0.888 : 507121836.0 2139 0.866 : 507121839.0 2197 0.880 : 507121840.0 2568 0.886 : 507121841.0 2311 0.879 : 507121842.0 2345 0.899 : 507121843.0 2319 0.870 : 507121844.0 2643 0.897 : 507121845.0 2173 0.865 : 507121846.0 2626 0.905 : 507121848.0 2187 0.863 : 507121849.0 2187 0.878 : 507121850.0 2299 0.867 : 507121851.0 2135 0.866 : 507121852.0 2362 0.880 : 507121853.0 2552 0.905 : 507121854.0 2543 0.906 : 507121855.0 2599 0.892 : 507121856.0 2138 0.891 : 507121857.0 2322 0.896 : 507121858.0 2304 0.888 : 507121859.0 2447 0.897 : 507121860.0 2531 0.913 : 507121861.0 2636 0.919 : 507121862.0 2350 0.899 : 507121863.0 2667 0.894 : 507121864.0 2331 0.890 : 507121865.0 2523 0.887 : 507121866.0 2370 0.870 : 507121867.0 2472 0.897 : 507121869.0 2425 0.896 : 507121870.0 2321 0.878 : 507121871.0 2572 0.900 : 507121872.0 2201 0.861 : 507121873.0 2474 0.890 : 507121874.0 2519 0.912 : 507121875.0 2167 0.908 : 507121876.0 2381 0.874 : 507121877.0 2786 0.902 : 507121878.0 2416 0.886 : 507121879.0 2440 0.885 : 507121880.0 2280 0.896 : 507121881.0 2519 0.882 : 507121882.0 2699 0.916 : 507121883.0 2255 0.923 : 507121884.0 2780 0.921 : 507121885.0 3018 0.929 : 507121886.0 2082 0.927 : 507121887.0 2042 0.911 : 507121888.0 2327 0.900 : 507121889.0 2598 0.918 : 507121890.0 2498 0.898 : 507121891.0 2598 0.908 : 507121892.0 2663 0.915 : 507121893.0 2647 0.930 : 507121894.0 2617 0.918 : 507121895.0 2630 0.922 : 507121896.0 2027 0.914 : 507121897.0 2840 0.914 : 507121898.0 2361 0.908 : 507121899.0 2734 0.911 : 507121900.0 2366 0.924 : 507121901.0 2454 0.916 : 507121902.0 2444 0.900 : 507121903.0 2651 0.890 : 507121904.0 2171 0.906 : 507121905.0 2408 0.890 : 507121906.0 2581 0.884 : 507121907.0 2571 0.937 : 507121908.0 2714 0.906 : 507121909.0 2797 0.896 : 507121911.0 3015 0.910 : 507121912.0 2427 0.904 : 507121913.0 2566 0.911 : 507121914.0 2835 0.937 : 507121915.0 2208 0.869 : 507121916.0 2212 0.890 : 507121917.0 2493 0.889 : 507121918.0 2708 0.905 : 507121919.0 2335 0.901 : 507121920.0 2492 0.881 : 507121921.0 2479 0.899 : 507121922.0 2459 0.904 : 507121923.0 2318 0.870 : 507121924.0 2881 0.893 : 507121925.0 2060 0.892 : 507121926.0 2496 0.909 : 507121927.0 2241 0.925 : 507121928.0 3063 0.916 : 507121929.0 2479 0.910 : 507121930.0 2343 0.900 : 507121931.0 2537 0.926 : 507121932.0 2741 0.940 : 507121933.0 2194 0.919 : 507121934.0 2856 0.949 : 507121935.0 2672 0.941 : 507121936.0 2156 0.930 : 507121937.0 3461 0.954 : 507121938.0 2086 0.944 : 507121939.0 2621 0.941 : 507121940.0 2832 0.965 : 507121941.0 2935 0.954 : 507121942.0 2593 0.951 : 507121944.0 2660 0.941 : 507121945.0 2656 0.947 : 507121946.0 2595 0.934 : 507121947.0 2642 0.939 : 507121948.0 2826 0.943 : 507121949.0 2796 0.943 : 507121951.0 2665 0.926 : 507121952.0 2501 0.894 : 507121953.0 2311 0.897 : 507121954.0 2245 0.880 : 507121955.0 2358 0.886 : 507121956.0 2341 0.884 : 507121959.0 2200 0.887 : 507121960.0 2264 0.862 : 507121961.0 2393 0.901 : 507121962.0 2610 0.924 : 507121966.0 2269 0.877 : 507121967.0 2588 0.903 : 507121969.0 2321 0.886 : 507121970.0 2001 0.841 : 507121971.0 2237 0.871 : 507121972.0 2341 0.873 : 507121973.0 2617 0.892 : 507121974.0 2740 0.908 : 507121975.0 2571 0.910 : 507121976.0 2062 0.888 : 507121977.0 2576 0.894 : 507121978.0 2420 0.877 : 507121980.0 2534 0.867 : 507121981.0 2365 0.887 : 507121982.0 2153 0.852 : 507121985.0 2408 0.892 : 507121986.0 2520 0.879 : 507121987.0 2306 0.868 : 507121988.0 2184 0.880 : 507121989.0 2285 0.897 : 507121990.0 2255 0.898 : 507121991.0 2752 0.895 : 507121992.0 2268 0.880 : 507121993.0 2305 0.894 : 507121994.0 2167 0.854 : 507121995.0 2575 0.884 : 507121996.0 2597 0.902 : 507121997.0 2221 0.916 : 507121998.0 2744 0.917 : 507121999.0 2121 0.885 : 507122000.0 2813 0.905 : 507122001.0 2059 0.894 : 507122002.0 2767 0.899 : 507122003.0 2466 0.897 : 507122004.0 2135 0.874 : 507122005.0 2778 0.894 : 507122006.0 2192 0.880 : 507122007.0 2189 0.868 : 507122008.0 2123 0.886 : 507122009.0 2301 0.885 : 507122010.0 2063 0.859 : 507122011.0 2211 0.842 : 507122013.0 2572 0.897 : 507122014.0 2625 0.911 : 507122015.0 2911 0.933 : 507122016.0 2210 0.902 : 507122017.0 2582 0.906 : 507122018.0 2076 0.865 : 507122019.0 2167 0.864 : 507122020.0 2246 0.863 : 507122021.0 2499 0.878 : 507122022.0 2198 0.881 : 507122023.0 2284 0.856 : 507122024.0 2132 0.845 : 507122025.0 2234 0.863 : 507122026.0 2386 0.876 : 507122027.0 2298 0.859 : 507122028.0 2620 0.889 : 507122029.0 2045 0.873 : 507122037.0 2313 0.872 : 507122038.0 2464 0.901 : 507122039.0 2789 0.898 : 507122040.0 2011 0.878 : 507122041.0 2617 0.909 : 507122042.0 2344 0.863 : 507122043.0 2129 0.893 : 507122044.0 2299 0.871 : 507122045.0 2697 0.896 : 507122046.0 2288 0.908 : 507122047.0 2354 0.874 : 507122048.0 2822 0.909 : 507122049.0 2333 0.918 : 507122050.0 2110 0.894 : 507122051.0 3001 0.925 : 507122052.0 2364 0.910 : 507122053.0 2386 0.885 : 507122054.0 2192 0.899 : 507122055.0 3194 0.921 : 507122056.0 2226 0.916 : 507122057.0 2398 0.895 : 507122058.0 2210 0.916 : 507122059.0 2410 0.892 : 507122060.0 2649 0.869 : 507122061.0 2073 0.884 : 507122062.0 2387 0.892 : 507122063.0 2617 0.890 : 507122064.0 2306 0.912 : 507122065.0 2735 0.907 : 507122066.0 2263 0.913 : 507122067.0 2398 0.912 : 507122069.0 3068 0.918 : 507122070.0 2680 0.894 : 507122072.0 2135 0.926 : 507122073.0 2331 0.890 : 507122074.0 2392 0.881 : 507122075.0 2496 0.893 : 507122076.0 2487 0.913 : 507122077.0 2549 0.912 : 507122078.0 2391 0.877 : 507122079.0 2146 0.852 : 507122080.0 2436 0.890 : 507122081.0 2431 0.888 : 507122082.0 2547 0.874 : 507122083.0 2123 0.866 : 507122084.0 2859 0.892 : 507122085.0 2638 0.929 : 507122086.0 2679 0.892 : 507122087.0 2479 0.879 : 507122088.0 2234 0.889 : 507122089.0 2301 0.890 : 507122090.0 2673 0.885 : 507122091.0 2217 0.888 : 507122092.0 2469 0.885 : 507122093.0 2393 0.878 : 507122094.0 2184 0.850 : 507122096.0 2251 0.868 : 507122097.0 2334 0.883 : 507122098.0 2390 0.877 : 507122099.0 2921 0.905 : 507122100.0 2936 0.931 : 507122102.0 2166 0.891 : 507122103.0 2785 0.877 : 507122104.0 2261 0.886 : 507122105.0 2364 0.880 : 507122107.0 2236 0.874 : 507122108.0 2459 0.891 : 507122109.0 2337 0.869 : 507122110.0 2701 0.894 : 507122111.0 2294 0.901 : 507122112.0 2700 0.896 : 507122113.0 2430 0.907 : 507122114.0 2371 0.918 : 507122115.0 2608 0.906 : 507122116.0 2503 0.872 : 507122117.0 2364 0.868 : 507122118.0 2352 0.897 : 507122119.0 2055 0.864 : 507122120.0 2550 0.891 : 507122121.0 2093 0.871 : 507122122.0 2441 0.882 : 507122123.0 2349 0.892 : 507122124.0 2377 0.890 : 507122125.0 2429 0.898 : 507122126.0 2552 0.894 : 507122127.0 2483 0.909 : 507122128.0 2541 0.913 : 507122129.0 2789 0.900 : 507122130.0 2448 0.906 : 507122131.0 2668 0.935 : 507122132.0 2516 0.893 : 507122133.0 2331 0.902 : 507122134.0 2369 0.892 : 507122135.0 2559 0.905 : 507122136.0 2584 0.923 : 507122137.0 2318 0.906 : 507122138.0 2977 0.917 : 507122139.0 2664 0.924 : 507122140.0 2811 0.926 : 507122141.0 2245 0.886 : 507122142.0 2551 0.884 : 507122143.0 2267 0.884 : 507122144.0 2337 0.886 : 507122145.0 2841 0.905 : 507122147.0 2850 0.914 : 507122148.0 2910 0.918 : 507122149.0 2234 0.885 : 507122150.0 2537 0.896 : 507122151.0 2908 0.919 : 507122152.0 2071 0.888 : 507122153.0 2417 0.878 : 507122154.0 3154 0.907 : 507122155.0 2876 0.913 : 507122156.0 2434 0.922 : 507122158.0 3072 0.917 : 507122160.0 2674 0.891 : 507122161.0 2369 0.911 : 507122162.0 2539 0.900 : 507122163.0 2163 0.893 : 507122164.0 2428 0.880 : 507122165.0 2729 0.911 : 507122166.0 2401 0.920 : 507122169.0 2680 0.892 : 507122186.0 2086 0.711 : 507122240.0 2071 0.842 : 507122242.0 2182 0.828 : 507122243.0 2270 0.874 : 507122244.0 2628 0.909 : 507122246.0 2367 0.882 : 507122247.0 3024 0.918 : 507122248.0 2480 0.933 : 507122249.0 3630 0.946 : 507122250.0 2103 0.947 : 507122251.0 2486 0.954 : 507122252.0 2797 0.949 : 507122262.0 2605 0.885 : 507122264.0 2602 0.875 : 507122277.0 2351 0.883 : 507122278.0 2368 0.883 : 507122291.0 2045 0.849 : 507122292.0 2136 0.870 : 507122294.0 2392 0.888 : 507122296.0 2571 0.896 : 507122297.0 2760 0.907 : 507122298.0 2487 0.893 : 507122299.0 2611 0.933 : 507122300.0 2977 0.913 : 507122301.0 2325 0.944 : 507122302.0 3620 0.953 : 507122304.0 3051 0.947 : 507122306.0 2589 0.891 : 507122307.0 3100 0.912 : 507122308.0 2630 0.919 : 507122309.0 2944 0.932 : 507122310.0 2530 0.918 : 507122311.0 2754 0.922 : 507122312.0 3571 0.942 : 507122315.0 3422 0.919 : 507122317.0 2939 0.906 : 507122319.0 2426 0.871 : 507122320.0 2935 0.895 : 507122321.0 2076 0.923 : 507122322.0 3371 0.911 : 507122323.0 2756 0.926 : 507122324.0 2091 0.928 : 507122325.0 2915 0.925 : 507122326.0 2487 0.920 : 507122327.0 2266 0.927 : 507122328.0 3435 0.945 : 507122329.0 2250 0.939 : 507122330.0 2509 0.965 : 507122331.0 2499 0.951 : 507122332.0 2676 0.941 : 507122333.0 2462 0.943 : 507122334.0 2531 0.915 : 507122335.0 2674 0.912 : 507122337.0 2486 0.891 : 507122338.0 2178 0.861 : 507122339.0 2096 0.860 : 507122343.0 2208 0.874 : 507122346.0 2616 0.903 : 507122347.0 2690 0.917 : 507122349.0 2368 0.884 : 507122350.0 2433 0.877 : 507122351.0 2304 0.878 : 507122352.0 2148 0.889 : 507122353.0 2398 0.849 : 507122354.0 2561 0.902 : 507122355.0 2342 0.869 : 507122356.0 2062 0.853 : 507122357.0 2035 0.849 : 507122363.0 2227 0.860 : 507122365.0 2497 0.884 : 507122366.0 2905 0.896 : 507122367.0 2301 0.910 : 507122370.0 2671 0.897 : 507122372.0 2795 0.873 : 507122373.0 2543 0.900 : 507122374.0 2651 0.904 : 507122376.0 2106 0.855 : 507122377.0 2201 0.869 : 507122379.0 2031 0.849 : 507122385.0 2094 0.829 : 507122396.0 2126 0.856 : 507122412.0 3011 0.895 : 507122413.0 2379 0.877 : 507122414.0 2148 0.893 : 507122415.0 2191 0.897 : 507122417.0 2010 0.830 : 507122421.0 2102 0.846 : 507122427.0 2171 0.834 : 507122446.0 2218 0.864 : 507122447.0 2133 0.835 : 507122449.0 2512 0.897 : 507122450.0 2108 0.853 : 507122455.0 2373 0.889 : 507122456.0 2486 0.868 : 507122457.0 2431 0.889 : 507122469.0 2946 0.909 : 507122470.0 2545 0.903 : 507122471.0 2525 0.897 : 507122472.0 2725 0.928 : 507122473.0 2819 0.919 : 507122474.0 2552 0.909 : 507122476.0 2464 0.912 : 507122477.0 2143 0.907 : 507122478.0 2800 0.912 : 507122479.0 2375 0.899 : 507122498.0 2536 0.888 : 507122499.0 2303 0.860 : 507122507.0 2365 0.879 : 507122509.0 2125 0.852 : 507122510.0 2225 0.862 : 507122511.0 2509 0.904 : 507122512.0 4014 0.933 : 507122514.0 3025 0.924 : 507122515.0 2877 0.937 : 507122517.0 2275 0.872 : 507122518.0 2698 0.908 : 507122519.0 2252 0.907 : 507122520.0 2757 0.905 : 507122521.0 2074 0.874 : 507122522.0 3022 0.889 : 507122523.0 2178 0.923 : 507122524.0 2426 0.880 : 507122527.0 2555 0.877 : 507122531.0 2087 0.825 : 507122534.0 2001 0.858 : 507122535.0 2456 0.873 : 507122541.0 2290 0.872 : 507122542.0 2239 0.868 : 507122545.0 2029 0.870 : 507122554.0 2141 0.844 : 507122555.0 2116 0.858 : 507122556.0 2252 0.859 : 507122557.0 2194 0.860 : 507122559.0 2194 0.862 : 507122560.0 2276 0.874 : 507122565.0 2224 0.862 : 507122570.0 3783 0.931 : 507122571.0 2211 0.890 : 507122572.0 3134 0.941 : 507122575.0 2862 0.900 : 507122576.0 2724 0.902 : 507122578.0 2531 0.883 : 507122579.0 3958 0.942 : 507122581.0 2545 0.896 : 507122593.0 2519 0.886 : 507122594.0 2078 0.856 : 507122595.0 3147 0.913 : 507122596.0 2847 0.920 : 507122597.0 2612 0.937 : 507122598.0 2418 0.937 : 507122599.0 2801 0.942 : 507122602.0 3192 0.919 : 507122604.0 2140 0.856 : 507122609.0 2443 0.906 : 507122610.0 2072 0.868 : 507122611.0 2882 0.941 : 507122612.0 2098 0.878 : 507122613.0 2146 0.862 : 507122615.0 4346 0.957 : 507122625.0 4337 0.931 : 507122627.0 4078 0.951 : 507122628.0 2036 0.951 : 507122632.0 3652 0.939 : 507122634.0 4081 0.925 : 507122637.0 2409 0.855 : 507122639.0 2896 0.877 : 507122642.0 2930 0.917 : 507122643.0 2107 0.862 : 507122645.0 2134 0.875 : 507122648.0 2202 0.864 : 507122650.0 2023 0.846 : 507122654.0 3881 0.926 : 507122656.0 3566 0.927 : 507122663.0 2247 0.866 : 507122664.0 2165 0.864 : 507122665.0 2100 0.887 : 507122666.0 2162 0.922 : 507122673.0 2639 0.914 : 507122677.0 2734 0.894 : 507122678.0 2928 0.928 : 507122683.0 2467 0.863 : 507122684.0 2684 0.905 : 507122689.0 4412 0.948 : 507122690.0 2556 0.983 : 507122691.0 2798 0.961 : 507122961.0 2634 0.886 : 507122971.0 2190 0.861 : 507124214.0 2708 0.864 : 507124215.0 3198 0.937 : 507124217.0 3225 0.913 : 507124218.0 2958 0.976 : 507124219.0 2731 0.959 : 507124223.0 2317 0.871 : 507124240.0 3961 0.954 : 507124241.0 2664 0.971 : 507124242.0 2018 0.951 : 507124253.0 3551 0.922 : 507124254.0 2837 0.944 : 507124255.0 2353 0.943 : 507124256.0 2378 0.975 : 507124257.0 2466 0.942 : 507124273.0 2070 0.817 : 507124285.0 2075 0.820 : 507124286.0 2796 0.949 : 507124288.0 2359 0.851 : 507124293.0 2426 0.837 : 507124299.0 3565 0.946 : 507124302.0 3254 0.923 : 507124303.0 2096 0.927 : 507124304.0 2611 0.944 : 507124306.0 3265 0.887 : 507124892.0 2026 0.944 : 507125267.0 2798 0.862 : 507125270.0 2883 0.892 : 507125486.0 2228 0.862 : 507126305.0 3077 0.887 : 507126307.0 3514 0.937 : 507126469.0 3222 0.911 : 507126470.0 2970 1.000 : 507126471.0 2916 0.992 : 507126472.0 2791 0.981 : 507126473.0 2949 0.991 : 507126474.0 2815 0.996 : 507126475.0 2622 0.971 : 507126476.0 2863 0.995 : 507126477.0 2820 0.999 : 507126478.0 2684 0.993 : 507126479.0 2858 1.000 : 507126480.0 2781 0.959 : 507126481.0 2757 0.967 : 507126482.0 2730 0.970 : 507126484.0 2898 0.927 : 507126487.0 3768 0.932 : 507126490.0 2201 0.874 : 507126692.0 2165 0.904 : 507127303.0 3711 0.930 : 507127304.0 2562 0.937 : 507127307.0 2266 0.869 : 507127309.0 4407 0.951 : 507127311.0 2920 0.925 : 507127312.0 2622 0.957 : 507127316.0 2446 0.891 : 507127346.0 2370 0.864 : 507127375.0 2325 0.884 : 507127379.0 3024 0.910 : 507130325.0 2360 0.852 : 507130344.0 2662 0.893 : 507130345.0 2161 0.903 : 507130351.0 2335 0.807 : 507130357.0 2908 0.886 : 507130358.0 3045 0.939 : 507130361.0 2238 0.866 : 507130446.0 2774 0.866 : 507130447.0 2369 0.921 : 507130456.0 2564 0.839 : 507130461.0 2487 0.847 : 507130462.0 2007 0.843 : 507130464.0 2573 0.884 : 507130471.0 2086 0.731 : 507131208.0 2305 0.885 : 507131210.0 2392 0.896 : 507131217.0 2021 0.759 : 507131220.0 2022 0.763 : 507131234.0 2502 0.819 : 507131424.0 2549 0.843 : 507131425.0 2108 0.805 : 507131426.0 2082 0.843 : 507131428.0 2255 0.835 : 507131431.0 2014 0.833 : 507131432.0 3224 0.891 : 507131434.0 2132 0.854 : 507131436.0 2139 0.820 : 507131438.0 2161 0.834 : 507131439.0 2387 0.843 : 507131987.0 2073 0.828 : 507131988.0 2024 0.829 : 507132212.0 3288 0.915 : 507132696.0 2245 0.879 : 507132697.0 2506 0.861 : 507132700.0 2099 0.860 : 507132701.0 2261 0.869 : 507132702.0 2318 0.858 : 507132707.0 2139 0.842 : 507132714.0 2060 0.835 : 507132736.0 2168 0.852 : 507132738.0 2658 0.874 : 507132739.0 2251 0.879 : 507132794.0 2087 0.843 : 507132895.0 2094 0.872 : 507132898.0 2263 0.866 : 507132899.0 2076 0.851 Total number of 1 second bins: 18167 Bins with >0 counts : 16976 Bins with >2000 counts : 759 759 of 759 high count rate bins were dominated by noise Noise dominated 4.18% of total time, 4.47% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 507114860.0 2557 0.894 : 507114861.0 3089 0.994 : 507114862.0 2389 0.960 : 507114864.0 2879 0.922 : 507114865.0 2101 0.913 : 507114866.0 2741 0.922 : 507114869.0 2534 0.902 : 507114870.0 3519 0.955 : 507114872.0 2683 0.925 : 507114873.0 2296 0.916 : 507114899.0 3163 0.919 : 507114901.0 2654 0.899 : 507114902.0 2177 0.902 : 507114907.0 2318 0.893 : 507114908.0 2811 0.916 : 507114909.0 2369 0.944 : 507114910.0 2169 0.885 : 507114912.0 2165 0.907 : 507114927.0 2368 0.880 : 507116266.0 2332 0.888 : 507116568.0 2172 0.919 : 507120009.0 2209 0.862 : 507121210.0 3832 0.938 : 507121990.0 2352 0.863 : 507122538.0 2560 0.921 : 507122539.0 2506 0.914 : 507122781.0 2351 0.871 : 507122782.0 2029 0.865 : 507122783.0 2471 0.868 : 507122784.0 2442 0.889 : 507126173.0 2614 0.866 : 507126175.0 2288 0.899 : 507126181.0 2698 0.924 : 507127744.0 2398 0.885 : 507127746.0 2411 0.880 Total number of 1 second bins: 18168 Bins with >0 counts : 16977 Bins with >2000 counts : 35 35 of 35 high count rate bins were dominated by noise Noise dominated 0.19% of total time, 0.21% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 507114927.0 2698 0.938 : 507114929.0 3582 0.932 : 507114931.0 3218 0.944 : 507114932.0 3081 0.978 : 507114933.0 2030 1.000 : 507114934.0 2232 1.000 : 507114958.0 3616 0.972 : 507114960.0 2422 1.000 : 507114961.0 2429 0.988 : 507114962.0 2525 0.970 : 507114963.0 2491 0.995 : 507114964.0 2505 0.983 : 507114965.0 2589 0.983 : 507114968.0 3108 0.952 : 507114969.0 3278 0.984 : 507114970.0 2421 1.000 : 507114971.0 2365 1.000 : 507114972.0 2436 0.979 : 507114973.0 2359 0.996 : 507114974.0 2283 1.000 : 507114975.0 2299 0.997 : 507114976.0 2533 0.996 : 507114977.0 2520 0.985 : 507114978.0 2432 0.981 : 507114979.0 2561 0.987 : 507114980.0 2124 0.989 : 507114981.0 2405 0.996 : 507114985.0 2261 0.890 : 507114988.0 2609 0.879 : 507115057.0 2576 0.905 : 507115058.0 2250 0.926 : 507115061.0 2415 0.888 : 507115062.0 2298 0.895 : 507115073.0 2355 0.896 : 507115081.0 2217 0.892 : 507115086.0 3239 0.914 : 507115087.0 2599 0.927 : 507115089.0 2167 0.874 : 507115091.0 2944 0.915 : 507115093.0 2053 0.848 : 507115095.0 4602 0.957 : 507115128.0 2029 0.870 : 507115138.0 2016 0.847 : 507115186.0 2240 0.873 : 507115205.0 2068 0.857 : 507115437.0 2194 0.871 : 507115446.0 2010 0.825 : 507115696.0 2236 0.870 : 507115698.0 2584 0.904 : 507116059.0 2300 0.870 : 507116060.0 2561 0.918 : 507116095.0 2086 0.813 : 507116096.0 2172 0.871 : 507116097.0 2312 0.889 : 507116676.0 2202 0.856 : 507116701.0 3402 0.939 : 507116703.0 2759 0.909 : 507116704.0 3713 0.974 : 507116706.0 2052 0.866 : 507116708.0 2520 0.887 : 507116709.0 2321 0.894 : 507116710.0 2870 0.884 : 507116714.0 3632 0.911 : 507116718.0 2380 0.910 : 507116719.0 3264 0.906 : 507116721.0 3109 0.916 : 507116724.0 2119 0.839 : 507116771.0 2204 0.866 : 507117129.0 2646 0.896 : 507119224.0 2133 0.912 : 507119225.0 4544 0.937 : 507120225.0 2069 0.867 : 507120790.0 4087 0.943 : 507120969.0 2583 0.931 : 507120970.0 2847 0.900 : 507120975.0 2944 0.917 : 507120976.0 2347 0.913 : 507120978.0 2284 0.898 : 507120979.0 3263 0.918 : 507120980.0 2353 0.930 : 507120981.0 2830 0.946 : 507120982.0 2430 0.929 : 507120984.0 2133 0.887 : 507120985.0 2900 0.900 : 507120986.0 2638 0.923 : 507120987.0 2403 0.913 : 507121025.0 3143 0.926 : 507121026.0 2931 0.980 : 507121029.0 3358 0.927 : 507121030.0 3317 0.971 : 507121031.0 2215 0.969 : 507121034.0 2833 0.911 : 507121035.0 3509 0.946 : 507121036.0 2307 0.958 : 507121038.0 2109 0.875 : 507121039.0 2427 0.899 : 507121041.0 2025 0.862 : 507121042.0 2311 0.890 : 507121043.0 3993 0.954 : 507121045.0 2567 0.940 : 507121047.0 4176 0.966 : 507121048.0 2525 0.974 : 507121049.0 2287 0.960 : 507121050.0 2462 0.948 : 507121051.0 2912 0.962 : 507121053.0 4135 0.972 : 507121054.0 2611 0.960 : 507121055.0 2531 0.967 : 507121056.0 2383 1.000 : 507121057.0 2534 0.989 : 507121058.0 2544 0.997 : 507121059.0 2306 0.998 : 507121060.0 2559 0.996 : 507121061.0 2519 1.000 : 507121062.0 2378 0.987 : 507121063.0 2458 0.992 : 507121064.0 2374 0.994 : 507121065.0 2496 1.000 : 507121066.0 2622 1.000 : 507121067.0 2459 0.988 : 507121069.0 3448 0.981 : 507121070.0 2556 0.985 : 507121072.0 3472 0.993 : 507121074.0 2131 0.875 : 507121075.0 2601 0.905 : 507121076.0 2283 0.851 : 507121077.0 2377 0.918 : 507121079.0 2242 0.901 : 507121113.0 2787 0.912 : 507121120.0 2664 0.900 : 507121124.0 2399 0.891 : 507121133.0 2221 0.875 : 507121135.0 2267 0.859 : 507121661.0 3049 0.894 : 507121662.0 3521 0.956 : 507121663.0 2855 0.968 : 507121867.0 2007 0.870 : 507122299.0 2684 0.929 : 507122300.0 2674 0.997 : 507122301.0 2542 0.975 : 507122302.0 2640 0.973 : 507122404.0 2128 0.846 : 507122409.0 2334 0.881 : 507122410.0 2737 0.925 : 507122411.0 2470 0.923 : 507123662.0 2628 0.884 : 507123671.0 2716 0.905 : 507123672.0 2228 0.930 : 507124057.0 2869 0.879 : 507128785.0 2416 0.952 : 507129265.0 2185 0.864 : 507130160.0 2749 0.889 : 507130161.0 2541 0.980 : 507130162.0 2123 0.948 : 507130163.0 2191 0.953 : 507130166.0 2117 0.853 : 507130209.0 2083 0.850 : 507130335.0 2186 0.841 : 507130336.0 2062 0.840 : 507130340.0 3090 0.894 : 507130344.0 2266 0.845 : 507130345.0 2408 0.903 : 507130347.0 2061 0.830 : 507130350.0 2894 0.888 : 507130351.0 2711 0.902 : 507130360.0 2488 0.859 : 507130361.0 2143 0.889 : 507130362.0 2795 0.893 : 507130364.0 2015 0.827 : 507130432.0 2232 0.815 : 507130433.0 2533 0.845 : 507130434.0 2174 0.904 : 507130438.0 3136 0.865 : 507130441.0 2452 0.810 : 507131321.0 2278 0.837 : 507131322.0 2113 0.820 : 507131323.0 2054 0.839 : 507131324.0 3223 0.890 : 507131325.0 2041 0.882 : 507131326.0 2495 0.897 : 507131327.0 2028 0.866 : 507131328.0 2048 0.807 : 507131329.0 2853 0.897 : 507131330.0 2211 0.870 : 507131333.0 3174 0.882 : 507131334.0 2030 0.895 : 507131341.0 3584 0.929 : 507131360.0 2695 0.883 : 507131472.0 2019 0.865 : 507131912.0 3940 0.925 : 507131920.0 2541 0.856 : 507132550.0 2374 0.871 Total number of 1 second bins: 18168 Bins with >0 counts : 16977 Bins with >2000 counts : 192 192 of 192 high count rate bins were dominated by noise Noise dominated 1.06% of total time, 1.13% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction Total number of 1 second bins: 24 Bins with >0 counts : 24 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)