Locating noise-dominated data in quadrant 0 : Time totcounts fraction : 279992415.0 2073 0.835 : 279992486.0 2196 0.823 : 279992489.0 2887 0.921 : 279992490.0 2311 0.882 : 279992496.0 2690 0.851 : 279992497.0 3114 0.958 : 279992500.0 2292 0.839 : 279992504.0 3621 0.909 : 279992505.0 2326 0.949 : 279992507.0 3833 0.934 : 279992508.0 2508 0.933 : 279992510.0 2136 0.897 : 279992511.0 3380 0.922 : 279992512.0 2490 0.943 : 279992514.0 2881 0.882 : 279992515.0 3079 0.959 : 279992517.0 2232 0.933 : 279992519.0 3863 0.930 : 279992520.0 2196 0.935 : 279992521.0 3101 0.963 : 279992524.0 3674 0.940 : 279992526.0 2490 0.881 : 279992527.0 2052 0.808 : 279992528.0 2536 0.872 : 279992529.0 3453 0.937 : 279992530.0 2547 0.945 : 279992532.0 4145 0.941 : 279992534.0 3328 0.938 : 279992535.0 2727 0.951 : 279992538.0 3992 0.944 : 279992541.0 2561 0.861 : 279992542.0 2519 0.915 : 279992545.0 2979 0.927 : 279992546.0 2270 0.928 : 279992547.0 2488 0.893 : 279992548.0 2427 0.928 : 279992549.0 2517 0.903 : 279992551.0 2232 0.901 : 279992552.0 3042 0.949 : 279992553.0 2774 0.946 : 279992554.0 2472 0.938 : 279992555.0 3623 0.960 : 279992557.0 2813 0.936 : 279992560.0 3010 0.902 : 279992561.0 3026 0.945 : 279992562.0 2271 0.925 : 279992563.0 2978 0.906 : 279992565.0 2205 0.921 : 279992566.0 2604 0.901 : 279992568.0 3519 0.920 : 279992570.0 2098 0.813 : 279992571.0 2430 0.914 : 279992572.0 3202 0.943 : 279992574.0 3674 0.938 : 279992577.0 2709 0.879 : 279992578.0 2632 0.918 : 279992579.0 2947 0.954 : 279992580.0 2752 0.915 : 279992582.0 4135 0.926 : 279992584.0 2789 0.934 : 279992585.0 2212 0.934 : 279992586.0 3985 0.965 : 279992588.0 3562 0.926 : 279992590.0 3841 0.944 : 279992592.0 2195 0.954 : 279992593.0 2978 0.931 : 279992595.0 2999 0.950 : 279992597.0 2726 0.979 : 279992599.0 2883 0.930 : 279992600.0 2986 0.943 : 279992601.0 2963 0.935 : 279992602.0 2678 0.954 : 279992604.0 3006 0.939 : 279992606.0 2841 0.860 : 279992607.0 2662 0.938 : 279992608.0 2601 0.967 : 279992609.0 2387 0.941 : 279992611.0 2039 0.927 : 279992612.0 4042 0.959 : 279992614.0 2770 0.879 : 279992615.0 3481 0.951 : 279992617.0 3337 0.941 : 279992619.0 4635 0.960 : 279992621.0 2645 0.902 : 279992622.0 3424 0.956 : 279992623.0 2095 0.933 : 279992624.0 2775 0.947 : 279992625.0 2161 0.941 : 279992626.0 2556 0.938 : 279992627.0 2109 0.891 : 279992629.0 4388 0.938 : 279992631.0 3601 0.939 : 279992632.0 2804 0.957 : 279992634.0 3147 0.937 : 279992636.0 2072 0.926 : 279992637.0 2875 0.942 : 279992639.0 3110 0.876 : 279992641.0 3258 0.932 : 279992643.0 2463 0.883 : 279992644.0 3638 0.962 : 279992647.0 2222 0.873 : 279992648.0 2066 0.868 : 279992649.0 2182 0.858 : 279992650.0 2922 0.869 : 279992652.0 3478 0.928 : 279992654.0 2128 0.869 : 279992656.0 2997 0.910 : 279992657.0 3158 0.954 : 279992659.0 2421 0.869 : 279992660.0 2171 0.871 : 279992661.0 2406 0.845 : 279992662.0 2496 0.885 : 279992664.0 2943 0.900 : 279992665.0 2311 0.873 : 279992666.0 2150 0.879 : 279992667.0 2053 0.841 : 279992668.0 2047 0.869 : 279992669.0 2199 0.836 : 279992671.0 2135 0.864 : 279992672.0 2351 0.886 : 279992673.0 2495 0.865 : 279992674.0 2376 0.904 : 279992675.0 2293 0.903 : 279992676.0 2332 0.869 : 279992677.0 3525 0.923 : 279992679.0 2303 0.888 : 279992680.0 2388 0.878 : 279992682.0 2558 0.903 : 279992683.0 2335 0.896 : 279992684.0 2616 0.885 : 279992685.0 2296 0.888 : 279992686.0 2646 0.907 : 279992688.0 4230 0.951 : 279992691.0 2429 0.885 : 279992694.0 2285 0.869 : 279992695.0 2519 0.898 : 279992696.0 2168 0.881 : 279992698.0 2041 0.865 : 279992699.0 3224 0.898 : 279992700.0 2615 0.920 : 279992702.0 2504 0.885 : 279992704.0 3857 0.918 : 279992705.0 2387 0.919 : 279992706.0 2115 0.896 : 279992714.0 2029 0.823 : 279992715.0 2024 0.832 : 279992716.0 2327 0.817 : 279992717.0 2476 0.903 : 279992718.0 2040 0.850 : 279992719.0 2116 0.877 : 279992720.0 3519 0.951 : 279992721.0 2302 0.933 : 279992722.0 2835 0.945 : 279992727.0 2575 0.850 : 279992728.0 2262 0.924 : 279992735.0 2088 0.848 : 279992762.0 2511 0.850 : 279993931.0 2583 0.941 : 279993932.0 2817 0.944 : 279993941.0 3855 0.914 : 279993942.0 2215 0.928 : 279993949.0 2288 0.841 : 279993951.0 2143 0.833 : 279993955.0 2119 0.816 : 279993964.0 2409 0.846 : 279994732.0 2017 0.866 : 279994733.0 2061 0.881 : 279994752.0 2247 0.844 : 279994758.0 2188 0.832 : 279994848.0 2569 0.892 : 279994849.0 2445 0.863 : 279994850.0 2337 0.894 Total number of 1 second bins: 3469 Bins with >0 counts : 3185 Bins with >2000 counts : 172 172 of 172 high count rate bins were dominated by noise Noise dominated 4.96% of total time, 5.40% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 1 : Time totcounts fraction : 279994926.0 2269 0.938 : 279995105.0 2833 0.891 : 279995107.0 4751 0.949 : 279995108.0 2433 0.961 : 279995110.0 2615 0.910 : 279995111.0 2366 0.874 : 279995115.0 2226 0.899 : 279995118.0 2226 0.852 Total number of 1 second bins: 3469 Bins with >0 counts : 3185 Bins with >2000 counts : 8 8 of 8 high count rate bins were dominated by noise Noise dominated 0.23% of total time, 0.25% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 2 : Time totcounts fraction : 279994332.0 2415 0.899 Total number of 1 second bins: 3469 Bins with >0 counts : 3185 Bins with >2000 counts : 1 1 of 1 high count rate bins were dominated by noise Noise dominated 0.03% of total time, 0.03% of detector on time (defined as non-zero counts) Locating noise-dominated data in quadrant 3 : Time totcounts fraction : 279992921.0 4013 0.960 : 279992923.0 2420 0.905 : 279994294.0 2493 0.859 : 279994796.0 2404 0.877 Total number of 1 second bins: 3469 Bins with >0 counts : 3185 Bins with >2000 counts : 4 4 of 4 high count rate bins were dominated by noise Noise dominated 0.12% of total time, 0.13% of detector on time (defined as non-zero counts)