Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 315992378.0 2312 0.845 : 315993001.0 2125 0.861 : 315993167.0 2160 0.843 : 315993168.0 2008 0.838 : 315993172.0 4030 0.941 : 315993175.0 2155 0.844 : 315993184.0 3926 0.920 : 315993185.0 2376 0.951 : 315993186.0 2583 0.949 : 315993196.0 2417 0.877 : 315993234.0 2530 0.864 : 315993239.0 2379 0.896 : 315993240.0 2299 0.860 : 315993241.0 2455 0.883 : 315993243.0 2617 0.864 : 315993250.0 2102 0.814 : 315993251.0 3033 0.908 : 315993253.0 2702 0.872 : 315993254.0 2284 0.890 : 315993255.0 2771 0.932 : 315993257.0 2391 0.881 : 315993258.0 3212 0.888 : 315993259.0 2011 0.908 : 315993261.0 2940 0.909 : 315993264.0 2339 0.857 : 315993269.0 2713 0.865 : 315993270.0 3119 0.931 : 315993271.0 2339 0.927 : 315993273.0 3130 0.901 : 315993274.0 3060 0.952 : 315993276.0 2813 0.908 : 315993277.0 2922 0.922 : 315993278.0 2500 0.928 : 315993279.0 2252 0.915 : 315993281.0 2418 0.891 : 315993283.0 3379 0.927 : 315993284.0 2087 0.931 : 315993286.0 2078 0.834 : 315993503.0 3078 0.892 : 315993504.0 2921 0.925 : 315993505.0 2222 0.913 : 315994305.0 3133 0.882 : 315994308.0 2160 0.853 : 315994309.0 2326 0.854 : 315994310.0 2061 0.828 : 315994364.0 2773 0.869 : 315994369.0 2272 0.886 : 315994370.0 4101 0.938 : 315994373.0 2913 0.868 : 315994374.0 3189 0.928 : 315994375.0 2527 0.944 : 315994378.0 3539 0.919 : 315994380.0 2015 0.815 : 315994425.0 2881 0.887 : 315994426.0 2364 0.888 : 315994427.0 2922 0.910 : 315994428.0 2130 0.910 : 315994430.0 2077 0.847 : 315994434.0 2216 0.831 : 315994435.0 3359 0.907 : 315994439.0 2231 0.801 : 315994441.0 2246 0.869 : 315994442.0 2403 0.899 : 315994443.0 3075 0.874 : 315994445.0 2754 0.861 : 315994448.0 3611 0.920 : 315994449.0 2619 0.944 : 315994454.0 2514 0.868 : 315994455.0 3292 0.921 : 315994460.0 4191 0.934 : 315994741.0 2765 0.862 : 315994744.0 2433 0.855 : 315994746.0 2214 0.802 : 315994754.0 2967 0.875 : 315994755.0 2685 0.901 : 315994757.0 2124 0.808 : 315994774.0 3833 0.898 : 315994775.0 2664 0.938 : 315994783.0 3609 0.948 : 315994785.0 2845 0.894 : 315994787.0 2084 0.884 : 315994788.0 2561 0.866 : 315994797.0 2880 0.880 : 315994798.0 2377 0.891 : 315994801.0 2081 0.854 : 315994806.0 2518 0.862 : 315994807.0 3225 0.950 : 315994808.0 2126 0.912 : 315994809.0 2968 0.947 : 315994810.0 2477 0.943 : 315994811.0 2559 0.944 : 315994815.0 3508 0.915 : 315994816.0 3276 0.955 : 315994817.0 2764 0.975 : 315994818.0 2779 0.954 : 315994819.0 2734 0.969 : 315994820.0 2852 0.978 : 315994821.0 2623 0.981 : 315994826.0 2121 0.840 : 315994827.0 3695 0.975 : 315994828.0 2144 0.907 : 315994830.0 3091 0.897 : 315994833.0 3896 0.933 : 315994834.0 2477 0.925 : 315994835.0 2139 0.899 : 315994846.0 3736 0.927 : 315994847.0 2511 0.927 : 315994848.0 2712 0.952 : 315994849.0 2555 0.950 : 315994851.0 3333 0.916 : 315994853.0 3257 0.888 : 315994855.0 3177 0.919 : 315994857.0 2631 0.843 : 315994859.0 3175 0.919 : 315994862.0 3583 0.957 : 315994863.0 2540 0.931 : 315994864.0 2522 0.934 : 315994865.0 2537 0.921 : 315994866.0 2465 0.897 : 315994869.0 2691 0.835 : 315994876.0 3566 0.916 : 315994882.0 2530 0.936 : 315994885.0 3666 0.927 : 315994887.0 2627 0.896 : 315994889.0 2101 0.805 : 315994890.0 2063 0.829 : 315994891.0 3121 0.911 : 315994955.0 2011 0.800 : 315994960.0 2144 0.828 : 315994962.0 3508 0.908 : 315994963.0 2104 0.905 : 315994965.0 3450 0.900 : 315994966.0 2485 0.915 : 315994967.0 2296 0.924 : 315994971.0 2689 0.859 : 315994973.0 3670 0.899 : 315994977.0 4081 0.926 : 315994984.0 3088 0.903 : 315994986.0 3537 0.924 : 315994987.0 2733 0.979 : 315994988.0 2598 0.939 : 315994990.0 3490 0.898 : 315994991.0 2628 0.942 : 315994992.0 2652 0.954 : 315994993.0 2433 0.933 : 315994994.0 2830 0.973 : 315994995.0 2216 0.921 : 315994996.0 3123 0.973 : 315994997.0 2650 0.932 : 315994998.0 2671 0.945 : 315995000.0 3109 0.940 : 315995001.0 2760 0.971 : 315995002.0 2127 0.928 : 315995007.0 2875 0.891 : 315995009.0 2025 0.855 : 315995012.0 2239 0.840 : 315995023.0 3075 0.903 : 315995024.0 2350 0.946 : 315995025.0 2108 0.903 : 315995030.0 2655 0.864 : 315995032.0 2515 0.869 : 315995036.0 2787 0.875 : 315995043.0 2344 0.814 : 315995053.0 2129 0.834 : 315995054.0 3288 0.902 : 315995058.0 2774 0.862 : 315995059.0 2194 0.921 : 315995060.0 3213 0.966 : 315995061.0 2808 0.980 : 315995062.0 2513 0.955 : 315995063.0 2464 0.920 : 315995064.0 2676 0.963 : 315995066.0 3580 0.913 : 315995067.0 2575 0.959 : 315995068.0 2355 0.969 : 315995069.0 2804 0.969 : 315995070.0 2618 0.939 : 315995072.0 3340 0.915 : 315995073.0 2334 0.922 : 315995075.0 3204 0.956 : 315995076.0 2086 0.911 : 315995077.0 2821 0.969 : 315995078.0 2266 0.917 : 315995079.0 2616 0.917 : 315995080.0 2906 0.978 : 315995081.0 2697 0.950 : 315995084.0 2240 0.869 : 315995086.0 3427 0.920 : 315995087.0 2917 0.978 : 315995088.0 2607 0.960 : 315995089.0 2772 0.967 : 315995091.0 2416 0.844 : 315995098.0 3181 0.881 : 315995109.0 2351 0.849 : 315995111.0 2799 0.871 : 315995114.0 2576 0.868 : 315995124.0 2700 0.859 : 315995125.0 2167 0.920 : 315995126.0 2483 0.894 : 315995130.0 2941 0.904 : 315995131.0 2665 0.958 : 315995133.0 3555 0.940 : 315995134.0 2733 0.951 : 315995135.0 2543 0.920 : 315995136.0 2580 0.959 : 315995138.0 2928 0.921 : 315995139.0 2806 0.949 : 315995253.0 3553 0.910 : 315995254.0 2319 0.914 : 315995257.0 2459 0.805 : 315995258.0 2060 0.866 : 315995259.0 2281 0.835 : 315995342.0 2420 0.824 : 315995343.0 2185 0.883 : 315995344.0 2383 0.825 : 315995492.0 2457 0.853 : 315995493.0 2872 0.908 : 315995603.0 3082 0.879 : 315995618.0 2076 0.833 : 315995620.0 2199 0.807 : 315995621.0 2432 0.889 : 315995622.0 2208 0.898 : 315995625.0 2720 0.892 : 315995635.0 3623 0.913 : 315995642.0 2685 0.874 : 315995643.0 2274 0.833 : 315995644.0 2995 0.922 : 315995645.0 3079 0.961 : 315995646.0 2600 0.959 : 315995650.0 2013 0.792 : 315995659.0 2057 0.825 : 315995660.0 2826 0.888 : 315995673.0 2391 0.831 : 315995674.0 3051 0.882 : 315995685.0 2696 0.869 : 315995686.0 2133 0.847 : 315995689.0 3328 0.889 : 315995693.0 2149 0.818 : 315995697.0 2930 0.893 : 315995700.0 2447 0.853 : 315995702.0 2061 0.823 : 315995703.0 3507 0.957 : 315995704.0 2178 0.928 : 315995705.0 3130 0.943 : 315995706.0 2358 0.903 : 315995707.0 3069 0.982 : 315995708.0 2953 0.984 : 315995709.0 2717 0.941 : 315995710.0 2789 0.959 : 315995711.0 2532 0.955 : 315995712.0 2887 0.975 : 315995713.0 2210 0.906 : 315995714.0 2754 0.972 : 315995715.0 2609 0.950 : 315995717.0 2222 0.826 : 315995719.0 2614 0.868 : 315995720.0 3138 0.892 : 315995730.0 2692 0.861 : 315995734.0 2125 0.805 : 315995736.0 3338 0.912 : 315995737.0 2998 0.918 : 315995738.0 2762 0.956 : 315995739.0 2753 0.966 : 315995741.0 2056 0.831 : 315995742.0 2285 0.810 : 315995743.0 2499 0.913 : 315995744.0 2300 0.887 : 315995745.0 2448 0.906 : 315995746.0 2622 0.943 : 315995747.0 2732 0.968 : 315995748.0 2573 0.938 : 315995749.0 2499 0.922 : 315995751.0 2418 0.881 : 315995887.0 2201 0.820 Total number of 1 second bins: 4671 Bins with >0 counts : 4671 Bins with >2000 counts : 274 274 of 274 high count rate bins were dominated by noise Noise dominated 5.87% of total time, 5.87% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction Total number of 1 second bins: 4672 Bins with >0 counts : 4672 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 2 : Time totcounts fraction Total number of 1 second bins: 4672 Bins with >0 counts : 4672 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 : 315993332.0 3236 0.949 : 315993334.0 3640 0.952 : 315993335.0 2521 0.942 : 315993336.0 2880 0.966 : 315993337.0 2744 0.965 : 315993363.0 2051 0.862 : 315993364.0 2294 0.844 : 315993552.0 2037 0.836 : 315993606.0 2251 0.836 : 315993733.0 2129 0.838 : 315993907.0 2490 0.861 : 315993962.0 2125 0.851 : 315994001.0 2763 0.898 : 315994007.0 2072 0.851 : 315994066.0 2213 0.831 : 315994068.0 2194 0.845 : 315994095.0 2059 0.834 : 315994210.0 2188 0.821 : 315994265.0 2112 0.866 : 315994377.0 2429 0.870 : 315994379.0 2912 0.891 : 315994394.0 2631 0.891 : 315994585.0 2004 0.808 : 315994596.0 2210 0.842 : 315994626.0 2051 0.815 : 315994631.0 2271 0.837 : 315994640.0 2062 0.836 : 315994643.0 2345 0.855 : 315994645.0 2009 0.828 : 315994658.0 2131 0.845 : 315994660.0 2181 0.834 : 315994662.0 2279 0.857 : 315994665.0 2072 0.822 : 315994669.0 2124 0.817 : 315994674.0 2120 0.842 : 315994675.0 2697 0.874 : 315994676.0 2213 0.877 : 315994678.0 2416 0.877 : 315994680.0 2055 0.825 : 315994683.0 2074 0.812 : 315994687.0 2145 0.843 : 315994690.0 3071 0.944 : 315994693.0 2102 0.807 : 315994695.0 2853 0.894 : 315994696.0 2278 0.870 : 315994698.0 2630 0.862 : 315994699.0 2031 0.843 : 315994705.0 2014 0.818 : 315994707.0 2087 0.838 : 315994712.0 2360 0.858 : 315994713.0 2610 0.877 : 315994716.0 2103 0.835 : 315994719.0 2606 0.878 : 315994721.0 2646 0.871 : 315994722.0 2149 0.867 : 315994723.0 2224 0.880 : 315994724.0 2882 0.867 : 315994726.0 2215 0.866 : 315994737.0 2020 0.829 : 315994744.0 2175 0.842 : 315994783.0 2315 0.851 : 315994827.0 2181 0.828 : 315994925.0 3134 0.893 : 315994926.0 2239 0.926 : 315994928.0 3205 0.889 : 315994931.0 2076 0.834 : 315994932.0 3155 0.921 : 315994933.0 2301 0.915 : 315994938.0 3560 0.892 : 315994939.0 2109 0.913 : 315994940.0 2945 0.928 : 315994941.0 2751 0.961 : 315994942.0 2611 0.957 : 315994943.0 2689 0.951 : 315994944.0 2593 0.950 : 315994945.0 2041 0.913 : 315994946.0 2525 0.963 : 315994947.0 2215 0.918 : 315994950.0 3335 0.898 : 315994953.0 3431 0.901 : 315994955.0 2802 0.874 : 315994958.0 2123 0.880 : 315994959.0 2629 0.917 : 315994960.0 2339 0.892 : 315994963.0 2796 0.887 : 315994964.0 2289 0.899 : 315994965.0 2003 0.858 : 315994967.0 2554 0.847 : 315994968.0 2749 0.879 : 315994969.0 2512 0.901 : 315994970.0 2110 0.897 : 315994971.0 2783 0.911 : 315994972.0 2060 0.876 : 315994977.0 2085 0.832 : 315995013.0 2430 0.863 : 315995155.0 2733 0.866 : 315995160.0 2006 0.774 : 315995164.0 2073 0.819 : 315995166.0 2034 0.825 : 315995167.0 2411 0.848 : 315995168.0 2422 0.888 : 315995170.0 2423 0.875 : 315995175.0 3118 0.876 : 315995180.0 3740 0.913 : 315995187.0 2474 0.888 : 315995188.0 2106 0.907 : 315995189.0 2827 0.906 : 315995190.0 2035 0.899 : 315995191.0 2106 0.837 : 315995192.0 2159 0.853 : 315995193.0 2469 0.872 : 315995196.0 2451 0.866 : 315995197.0 2417 0.847 : 315995198.0 2186 0.850 : 315995199.0 2290 0.872 : 315995200.0 2587 0.877 : 315995203.0 2531 0.863 : 315995204.0 2030 0.889 : 315995206.0 2566 0.867 : 315995217.0 2365 0.845 : 315995228.0 2322 0.830 : 315995236.0 2346 0.852 : 315995239.0 2866 0.893 : 315995241.0 2339 0.832 : 315995243.0 2175 0.824 : 315995245.0 2468 0.868 : 315995246.0 2132 0.869 : 315995250.0 2080 0.836 : 315995254.0 2157 0.837 : 315995255.0 2449 0.854 : 315995303.0 2059 0.782 : 315995305.0 2166 0.846 : 315995306.0 2440 0.848 : 315995307.0 2292 0.857 : 315995309.0 2035 0.837 : 315995457.0 2170 0.818 : 315995458.0 2639 0.902 : 315995460.0 2141 0.867 : 315995463.0 2834 0.886 : 315995464.0 2168 0.879 : 315995466.0 2254 0.855 : 315995467.0 2278 0.860 : 315995468.0 2630 0.881 : 315995469.0 2089 0.888 : 315995470.0 2482 0.881 : 315995471.0 2246 0.886 : 315995472.0 2720 0.876 : 315995475.0 2898 0.881 : 315995476.0 2368 0.887 : 315995477.0 2107 0.916 : 315995478.0 2296 0.883 : 315995484.0 2556 0.897 : 315995485.0 2165 0.868 : 315995486.0 2267 0.907 : 315995487.0 2458 0.896 : 315995489.0 2523 0.891 : 315995490.0 2601 0.868 : 315995491.0 2238 0.904 : 315995493.0 2776 0.883 : 315995494.0 2086 0.885 : 315995495.0 2602 0.868 : 315995497.0 2633 0.875 : 315995498.0 2102 0.860 : 315995499.0 2532 0.863 : 315995500.0 2579 0.885 : 315995501.0 2576 0.889 : 315995503.0 2420 0.915 : 315995504.0 2249 0.877 : 315995505.0 2253 0.864 : 315995506.0 3017 0.908 : 315995507.0 2173 0.888 : 315995510.0 2530 0.853 : 315995511.0 2086 0.847 : 315995512.0 2655 0.886 : 315995513.0 2593 0.891 : 315995515.0 2604 0.856 : 315995517.0 2875 0.874 : 315995518.0 2153 0.879 : 315995520.0 2364 0.866 : 315995521.0 2139 0.881 : 315995522.0 2061 0.863 : 315995523.0 2743 0.880 : 315995524.0 2325 0.877 : 315995525.0 2950 0.888 : 315995527.0 2504 0.871 : 315995528.0 2159 0.883 : 315995529.0 2278 0.861 : 315995530.0 2667 0.904 : 315995531.0 2438 0.895 : 315995532.0 2387 0.910 : 315995535.0 3026 0.902 : 315995536.0 2012 0.890 : 315995537.0 2676 0.890 : 315995539.0 2546 0.872 : 315995540.0 2655 0.884 : 315995541.0 2328 0.899 : 315995543.0 2132 0.886 : 315995544.0 2406 0.888 : 315995545.0 2391 0.869 : 315995547.0 2456 0.868 : 315995548.0 2283 0.881 : 315995549.0 2341 0.869 : 315995550.0 2488 0.875 : 315995551.0 2150 0.854 : 315995552.0 2216 0.839 : 315995553.0 2081 0.855 : 315995554.0 2560 0.857 : 315995555.0 2126 0.875 : 315995556.0 2531 0.882 : 315995558.0 2086 0.826 : 315995559.0 2293 0.857 : 315995560.0 2071 0.870 : 315995561.0 2309 0.864 : 315995562.0 2587 0.872 : 315995563.0 2075 0.841 : 315995564.0 2687 0.871 : 315995565.0 2408 0.894 : 315995567.0 2320 0.827 : 315995568.0 2033 0.808 : 315995569.0 2228 0.831 : 315995571.0 2575 0.866 : 315995572.0 2194 0.879 : 315995573.0 2333 0.863 : 315995574.0 2505 0.883 : 315995575.0 2527 0.880 : 315995576.0 2465 0.881 : 315995578.0 2196 0.825 : 315995579.0 2407 0.869 : 315995581.0 2306 0.849 : 315995583.0 2133 0.857 : 315995584.0 2528 0.865 : 315995585.0 2253 0.845 : 315995586.0 2450 0.837 : 315995587.0 2117 0.868 : 315995588.0 2468 0.853 : 315995590.0 2551 0.862 : 315995591.0 2183 0.871 : 315995592.0 2673 0.861 : 315995594.0 2719 0.887 : 315995595.0 2335 0.902 : 315995597.0 2169 0.847 : 315995598.0 2117 0.828 : 315995599.0 2520 0.878 : 315995600.0 2340 0.894 : 315995602.0 2036 0.817 : 315995603.0 2183 0.852 : 315995604.0 2329 0.860 : 315995605.0 2241 0.832 : 315995608.0 2049 0.790 : 315995610.0 2229 0.842 : 315995611.0 2338 0.871 : 315995613.0 2351 0.873 : 315995614.0 2152 0.865 : 315995764.0 2226 0.847 : 315995765.0 2850 0.930 : 315995766.0 2202 0.907 : 315995767.0 2570 0.906 : 315995768.0 2341 0.918 : 315995769.0 2492 0.935 : 315995770.0 2411 0.932 : 315995771.0 2476 0.923 : 315995772.0 2192 0.913 : 315995776.0 2073 0.824 : 315995777.0 2459 0.859 : 315995778.0 2495 0.889 : 315995779.0 2405 0.899 : 315995791.0 2178 0.858 : 315995792.0 2168 0.810 : 315996247.0 2091 0.781 : 315996675.0 2694 0.889 Total number of 1 second bins: 4672 Bins with >0 counts : 4672 Bins with >2000 counts : 270 270 of 270 high count rate bins were dominated by noise Noise dominated 5.78% of total time, 5.78% of detector on time (defined as non-zero counts)