start reading histos into arrays reading table : integFF_Dlnu_newSlope.txt Starting timer PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 1 B_B1 2.10000e-02 1.00000e-03 0.00000e+00 1.00000e+00 2 B_B2 5.60000e-02 1.00000e-03 0.00000e+00 1.00000e+00 3 B_B31 2.00000e-03 1.00000e-03 0.00000e+00 1.00000e+00 4 B_B32 5.60000e-03 1.00000e-03 0.00000e+00 1.00000e+00 5 B_B33 3.70000e-03 1.00000e-03 0.00000e+00 1.00000e+00 6 B_B34 3.70000e-03 1.00000e-03 0.00000e+00 1.00000e+00 7 B_B41 6.00000e-03 1.00000e-03 0.00000e+00 1.00000e+00 8 B_B42 2.00000e-03 1.00000e-03 0.00000e+00 1.00000e+00 9 FF slope 1.35000e+00 2.00000e-01 -1.00000e+00 4.00000e+00 10 Uncorr(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 11 CaslcL(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 12 FakeL(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 13 ContD(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 14 Uncorr(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 15 CaslcL(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 16 FakeL(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 17 ContD(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 18 f_+0 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 19 c_D+0 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 ********** ** 1 **CALL FCN 1 ********** [i][j][k] = [0][0][0] nCand_D0[0][0][0] = 60.4363 var_D0[0][0][0] = 5346.6 thisChisq = 0.683154 chisq_D0 = 0.683154 nCand_Dch[0][0][0] = 1.8366 var_Dch[0][0][0] = 17442.8 thisChisq = 0.00019338 chisq_Dch = 0.00019338 [i][j][k] = [0][0][1] nCand_D0[0][0][1] = -2.7992 var_D0[0][0][1] = 180.994 thisChisq = 0.0432916 chisq_D0 = 0.726446 nCand_Dch[0][0][1] = 20.0601 var_Dch[0][0][1] = 588.297 thisChisq = 0.684023 chisq_Dch = 0.684216 [i][j][k] = [0][0][2] [i][j][k] = [0][0][3] [i][j][k] = [0][0][4] [i][j][k] = [0][1][0] nCand_D0[0][1][0] = -13.3371 var_D0[0][1][0] = 7897 thisChisq = 0.0225248 chisq_D0 = 0.748971 nCand_Dch[0][1][0] = -87.2547 var_Dch[0][1][0] = 27219.5 thisChisq = 0.279704 chisq_Dch = 0.96392 [i][j][k] = [0][1][1] nCand_D0[0][1][1] = 28.1669 var_D0[0][1][1] = 1916.83 thisChisq = 0.413899 chisq_D0 = 1.16287 nCand_Dch[0][1][1] = 45.223 var_Dch[0][1][1] = 6008.25 thisChisq = 0.340385 chisq_Dch = 1.3043 [i][j][k] = [0][1][2] nCand_D0[0][1][2] = 16.9452 var_D0[0][1][2] = 620.393 thisChisq = 0.462835 chisq_D0 = 1.6257 nCand_Dch[0][1][2] = 75.5106 var_Dch[0][1][2] = 1780.86 thisChisq = 3.20174 chisq_Dch = 4.50605 [i][j][k] = [0][1][3] nCand_D0[0][1][3] = 5.78412 var_D0[0][1][3] = 53.7824 thisChisq = 0.622063 chisq_D0 = 2.24777 [i][j][k] = [0][1][4] [i][j][k] = [0][2][0] nCand_D0[0][2][0] = -41.9677 var_D0[0][2][0] = 5555.04 thisChisq = 0.317061 chisq_D0 = 2.56483 nCand_Dch[0][2][0] = -194.639 var_Dch[0][2][0] = 19334 thisChisq = 1.95947 chisq_Dch = 6.46552 [i][j][k] = [0][2][1] nCand_D0[0][2][1] = -64.2211 var_D0[0][2][1] = 2383.37 thisChisq = 1.73047 chisq_D0 = 4.29529 nCand_Dch[0][2][1] = -7.26387 var_Dch[0][2][1] = 7382.43 thisChisq = 0.00714721 chisq_Dch = 6.47267 [i][j][k] = [0][2][2] nCand_D0[0][2][2] = -63.5187 var_D0[0][2][2] = 2029.97 thisChisq = 1.98753 chisq_D0 = 6.28282 nCand_Dch[0][2][2] = -106.891 var_Dch[0][2][2] = 5707.01 thisChisq = 2.00206 chisq_Dch = 8.47473 [i][j][k] = [0][2][3] nCand_D0[0][2][3] = -12.3533 var_D0[0][2][3] = 1066.34 thisChisq = 0.143111 chisq_D0 = 6.42593 nCand_Dch[0][2][3] = 9.27603 var_Dch[0][2][3] = 3099.59 thisChisq = 0.0277601 chisq_Dch = 8.50249 [i][j][k] = [0][2][4] nCand_D0[0][2][4] = -2.41098 var_D0[0][2][4] = 181.097 thisChisq = 0.0320978 chisq_D0 = 6.45803 nCand_Dch[0][2][4] = -8.79894 var_Dch[0][2][4] = 556.578 thisChisq = 0.139102 chisq_Dch = 8.64159 [i][j][k] = [0][3][0] nCand_D0[0][3][0] = -86.7361 var_D0[0][3][0] = 3567.1 thisChisq = 2.10904 chisq_D0 = 8.56707 nCand_Dch[0][3][0] = 37.3774 var_Dch[0][3][0] = 11050 thisChisq = 0.126432 chisq_Dch = 8.76802 [i][j][k] = [0][3][1] nCand_D0[0][3][1] = -3.64061 var_D0[0][3][1] = 1888.32 thisChisq = 0.00701898 chisq_D0 = 8.57409 nCand_Dch[0][3][1] = 21.3619 var_Dch[0][3][1] = 5119.16 thisChisq = 0.0891418 chisq_Dch = 8.85716 [i][j][k] = [0][3][2] nCand_D0[0][3][2] = 60.0756 var_D0[0][3][2] = 1739.48 thisChisq = 2.0748 chisq_D0 = 10.6489 nCand_Dch[0][3][2] = -63.7516 var_Dch[0][3][2] = 4413.54 thisChisq = 0.920862 chisq_Dch = 9.77803 [i][j][k] = [0][3][3] nCand_D0[0][3][3] = -31.1083 var_D0[0][3][3] = 1378.38 thisChisq = 0.702073 chisq_D0 = 11.351 nCand_Dch[0][3][3] = 29.306 var_Dch[0][3][3] = 4053.88 thisChisq = 0.211857 chisq_Dch = 9.98988 [i][j][k] = [0][3][4] nCand_D0[0][3][4] = -34.787 var_D0[0][3][4] = 1200.92 thisChisq = 1.00767 chisq_D0 = 12.3586 nCand_Dch[0][3][4] = -17.5719 var_Dch[0][3][4] = 3328.71 thisChisq = 0.09276 chisq_Dch = 10.0826 [i][j][k] = [0][4][0] nCand_D0[0][4][0] = -2.09499 var_D0[0][4][0] = 317.102 thisChisq = 0.0138409 chisq_D0 = 12.3725 nCand_Dch[0][4][0] = -15.0924 var_Dch[0][4][0] = 890.957 thisChisq = 0.25566 chisq_Dch = 10.3383 [i][j][k] = [0][4][1] nCand_D0[0][4][1] = -28.4974 var_D0[0][4][1] = 1231.51 thisChisq = 0.659437 chisq_D0 = 13.0319 nCand_Dch[0][4][1] = -9.90054 var_Dch[0][4][1] = 3104.17 thisChisq = 0.0315772 chisq_Dch = 10.3699 [i][j][k] = [0][4][2] nCand_D0[0][4][2] = -28.885 var_D0[0][4][2] = 1799.38 thisChisq = 0.463685 chisq_D0 = 13.4956 nCand_Dch[0][4][2] = -117.425 var_Dch[0][4][2] = 4470.6 thisChisq = 3.08427 chisq_Dch = 13.4541 [i][j][k] = [0][4][3] nCand_D0[0][4][3] = -102.351 var_D0[0][4][3] = 1125.76 thisChisq = 9.30547 chisq_D0 = 22.8011 nCand_Dch[0][4][3] = -92.9885 var_Dch[0][4][3] = 3395.35 thisChisq = 2.54667 chisq_Dch = 16.0008 [i][j][k] = [0][4][4] nCand_D0[0][4][4] = -22.3249 var_D0[0][4][4] = 1386.1 thisChisq = 0.359571 chisq_D0 = 23.1606 nCand_Dch[0][4][4] = -14.195 var_Dch[0][4][4] = 3939.91 thisChisq = 0.0511428 chisq_Dch = 16.052 [i][j][k] = [0][5][0] [i][j][k] = [0][5][1] [i][j][k] = [0][5][2] nCand_D0[0][5][2] = 13.5738 var_D0[0][5][2] = 135.651 thisChisq = 1.35826 chisq_D0 = 24.5189 nCand_Dch[0][5][2] = 9.87086 var_Dch[0][5][2] = 325.043 thisChisq = 0.299757 chisq_Dch = 16.3517 [i][j][k] = [0][5][3] nCand_D0[0][5][3] = -31.7835 var_D0[0][5][3] = 986.041 thisChisq = 1.02449 chisq_D0 = 25.5434 nCand_Dch[0][5][3] = -38.7903 var_Dch[0][5][3] = 2665.45 thisChisq = 0.564513 chisq_Dch = 16.9162 [i][j][k] = [0][5][4] nCand_D0[0][5][4] = -73.5296 var_D0[0][5][4] = 1675.42 thisChisq = 3.227 chisq_D0 = 28.7704 nCand_Dch[0][5][4] = 16.7518 var_Dch[0][5][4] = 4457.45 thisChisq = 0.0629562 chisq_Dch = 16.9792 [i][j][k] = [1][0][0] nCand_D0[1][0][0] = -40.4409 var_D0[1][0][0] = 1812.02 thisChisq = 0.902566 chisq_D0 = 29.673 nCand_Dch[1][0][0] = -114.725 var_Dch[1][0][0] = 6362.18 thisChisq = 2.06875 chisq_Dch = 19.0479 [i][j][k] = [1][0][1] nCand_D0[1][0][1] = 30.9385 var_D0[1][0][1] = 1638.88 thisChisq = 0.584054 chisq_D0 = 30.257 nCand_Dch[1][0][1] = 24.4093 var_Dch[1][0][1] = 5342.18 thisChisq = 0.11153 chisq_Dch = 19.1595 [i][j][k] = [1][0][2] nCand_D0[1][0][2] = -21.274 var_D0[1][0][2] = 1047.12 thisChisq = 0.43222 chisq_D0 = 30.6892 nCand_Dch[1][0][2] = 90.961 var_Dch[1][0][2] = 3180.81 thisChisq = 2.6012 chisq_Dch = 21.7607 [i][j][k] = [1][0][3] nCand_D0[1][0][3] = 23.6032 var_D0[1][0][3] = 295.595 thisChisq = 1.88472 chisq_D0 = 32.574 nCand_Dch[1][0][3] = 3.68973 var_Dch[1][0][3] = 958.181 thisChisq = 0.0142083 chisq_Dch = 21.7749 [i][j][k] = [1][0][4] [i][j][k] = [1][1][0] nCand_D0[1][1][0] = -18.7082 var_D0[1][1][0] = 3125.28 thisChisq = 0.111988 chisq_D0 = 32.6859 nCand_Dch[1][1][0] = 5.6578 var_Dch[1][1][0] = 11100.2 thisChisq = 0.00288379 chisq_Dch = 21.7778 [i][j][k] = [1][1][1] nCand_D0[1][1][1] = -27.3364 var_D0[1][1][1] = 2037.05 thisChisq = 0.366844 chisq_D0 = 33.0528 nCand_Dch[1][1][1] = 6.0382 var_Dch[1][1][1] = 6625.06 thisChisq = 0.00550333 chisq_Dch = 21.7833 [i][j][k] = [1][1][2] nCand_D0[1][1][2] = 48.8188 var_D0[1][1][2] = 2186.37 thisChisq = 1.09006 chisq_D0 = 34.1429 nCand_Dch[1][1][2] = 14.494 var_Dch[1][1][2] = 6314.66 thisChisq = 0.0332682 chisq_Dch = 21.8165 [i][j][k] = [1][1][3] nCand_D0[1][1][3] = 14.7008 var_D0[1][1][3] = 1494.78 thisChisq = 0.144579 chisq_D0 = 34.2874 nCand_Dch[1][1][3] = 49.8934 var_Dch[1][1][3] = 4768.73 thisChisq = 0.522014 chisq_Dch = 22.3385 [i][j][k] = [1][1][4] nCand_D0[1][1][4] = 8.67011 var_D0[1][1][4] = 469.92 thisChisq = 0.159965 chisq_D0 = 34.4474 nCand_Dch[1][1][4] = 66.7642 var_Dch[1][1][4] = 1523.08 thisChisq = 2.92662 chisq_Dch = 25.2652 [i][j][k] = [1][2][0] nCand_D0[1][2][0] = -65.9688 var_D0[1][2][0] = 2413.51 thisChisq = 1.80313 chisq_D0 = 36.2505 nCand_Dch[1][2][0] = 71.677 var_Dch[1][2][0] = 8518.05 thisChisq = 0.603142 chisq_Dch = 25.8683 [i][j][k] = [1][2][1] nCand_D0[1][2][1] = 39.4095 var_D0[1][2][1] = 1626.07 thisChisq = 0.955131 chisq_D0 = 37.2057 nCand_Dch[1][2][1] = -37.738 var_Dch[1][2][1] = 4666.92 thisChisq = 0.305161 chisq_Dch = 26.1735 [i][j][k] = [1][2][2] nCand_D0[1][2][2] = 5.21565 var_D0[1][2][2] = 1843.4 thisChisq = 0.0147569 chisq_D0 = 37.2204 nCand_Dch[1][2][2] = -252.195 var_Dch[1][2][2] = 4685.83 thisChisq = 13.5734 chisq_Dch = 39.7468 [i][j][k] = [1][2][3] nCand_D0[1][2][3] = 1.50159 var_D0[1][2][3] = 1474.97 thisChisq = 0.0015287 chisq_D0 = 37.2219 nCand_Dch[1][2][3] = -55.0857 var_Dch[1][2][3] = 4614.45 thisChisq = 0.657594 chisq_Dch = 40.4044 [i][j][k] = [1][2][4] nCand_D0[1][2][4] = -60.2165 var_D0[1][2][4] = 1550.18 thisChisq = 2.3391 chisq_D0 = 39.561 nCand_Dch[1][2][4] = -105.899 var_Dch[1][2][4] = 4768.72 thisChisq = 2.35169 chisq_Dch = 42.7561 [i][j][k] = [1][3][0] nCand_D0[1][3][0] = -36.0321 var_D0[1][3][0] = 1483.78 thisChisq = 0.875004 chisq_D0 = 40.436 nCand_Dch[1][3][0] = -67.7619 var_Dch[1][3][0] = 4581.78 thisChisq = 1.00216 chisq_Dch = 43.7583 [i][j][k] = [1][3][1] nCand_D0[1][3][1] = -38.9804 var_D0[1][3][1] = 1354.53 thisChisq = 1.12177 chisq_D0 = 41.5578 nCand_Dch[1][3][1] = -61.8293 var_Dch[1][3][1] = 3150.52 thisChisq = 1.21341 chisq_Dch = 44.9717 [i][j][k] = [1][3][2] nCand_D0[1][3][2] = -63.8338 var_D0[1][3][2] = 1576.89 thisChisq = 2.58405 chisq_D0 = 44.1419 nCand_Dch[1][3][2] = 5.45116 var_Dch[1][3][2] = 3378.93 thisChisq = 0.00879424 chisq_Dch = 44.9805 [i][j][k] = [1][3][3] nCand_D0[1][3][3] = -7.28582 var_D0[1][3][3] = 971.826 thisChisq = 0.0546221 chisq_D0 = 44.1965 nCand_Dch[1][3][3] = 11.7852 var_Dch[1][3][3] = 3027.42 thisChisq = 0.045878 chisq_Dch = 45.0264 [i][j][k] = [1][3][4] nCand_D0[1][3][4] = -10.8854 var_D0[1][3][4] = 1564.73 thisChisq = 0.0757271 chisq_D0 = 44.2722 nCand_Dch[1][3][4] = 98.1659 var_Dch[1][3][4] = 4694.03 thisChisq = 2.05294 chisq_Dch = 47.0793 [i][j][k] = [1][4][0] nCand_D0[1][4][0] = 0.886639 var_D0[1][4][0] = 217.052 thisChisq = 0.00362184 chisq_D0 = 44.2758 nCand_Dch[1][4][0] = -1.6352 var_Dch[1][4][0] = 540.229 thisChisq = 0.00494956 chisq_Dch = 47.0842 [i][j][k] = [1][4][1] nCand_D0[1][4][1] = -48.2376 var_D0[1][4][1] = 702.42 thisChisq = 3.31264 chisq_D0 = 47.5885 nCand_Dch[1][4][1] = -17.3672 var_Dch[1][4][1] = 1521.56 thisChisq = 0.19823 chisq_Dch = 47.2825 [i][j][k] = [1][4][2] nCand_D0[1][4][2] = -12.741 var_D0[1][4][2] = 1320 thisChisq = 0.12298 chisq_D0 = 47.7114 nCand_Dch[1][4][2] = 6.2859 var_Dch[1][4][2] = 2899.15 thisChisq = 0.013629 chisq_Dch = 47.2961 [i][j][k] = [1][4][3] nCand_D0[1][4][3] = 15.7134 var_D0[1][4][3] = 891.354 thisChisq = 0.277008 chisq_D0 = 47.9885 nCand_Dch[1][4][3] = -44.1267 var_Dch[1][4][3] = 2720.35 thisChisq = 0.71578 chisq_Dch = 48.0119 [i][j][k] = [1][4][4] nCand_D0[1][4][4] = -1.75437 var_D0[1][4][4] = 1062.81 thisChisq = 0.00289592 chisq_D0 = 47.9914 nCand_Dch[1][4][4] = 18.1085 var_Dch[1][4][4] = 3187.58 thisChisq = 0.102874 chisq_Dch = 48.1148 [i][j][k] = [1][5][0] [i][j][k] = [1][5][1] [i][j][k] = [1][5][2] nCand_D0[1][5][2] = 12.403 var_D0[1][5][2] = 67.4746 thisChisq = 2.27988 chisq_D0 = 50.2712 nCand_Dch[1][5][2] = 1.10992 var_Dch[1][5][2] = 156.729 thisChisq = 0.00786015 chisq_Dch = 48.1226 [i][j][k] = [1][5][3] nCand_D0[1][5][3] = -29.5462 var_D0[1][5][3] = 630.295 thisChisq = 1.38503 chisq_D0 = 51.6563 nCand_Dch[1][5][3] = 12.0567 var_Dch[1][5][3] = 1750.18 thisChisq = 0.083057 chisq_Dch = 48.2057 [i][j][k] = [1][5][4] nCand_D0[1][5][4] = -26.1179 var_D0[1][5][4] = 1014.75 thisChisq = 0.672229 chisq_D0 = 52.3285 nCand_Dch[1][5][4] = -5.20539 var_Dch[1][5][4] = 2839.14 thisChisq = 0.00954378 chisq_Dch = 48.2152 [i][j][k] = [2][0][0] [i][j][k] = [2][0][1] nCand_D0[2][0][1] = 9.14562 var_D0[2][0][1] = 212.718 thisChisq = 0.393207 chisq_D0 = 52.7217 nCand_Dch[2][0][1] = -29.9817 var_Dch[2][0][1] = 689.49 thisChisq = 1.30372 chisq_Dch = 49.5189 [i][j][k] = [2][0][2] nCand_D0[2][0][2] = 34.4597 var_D0[2][0][2] = 801.43 thisChisq = 1.48169 chisq_D0 = 54.2034 nCand_Dch[2][0][2] = -8.96905 var_Dch[2][0][2] = 2454.95 thisChisq = 0.032768 chisq_Dch = 49.5517 [i][j][k] = [2][0][3] nCand_D0[2][0][3] = -12.0467 var_D0[2][0][3] = 1203.72 thisChisq = 0.120562 chisq_D0 = 54.324 nCand_Dch[2][0][3] = 19.2796 var_Dch[2][0][3] = 4136.84 thisChisq = 0.0898517 chisq_Dch = 49.6416 [i][j][k] = [2][0][4] nCand_D0[2][0][4] = -14.0386 var_D0[2][0][4] = 725.321 thisChisq = 0.271719 chisq_D0 = 54.5957 nCand_Dch[2][0][4] = 6.75503 var_Dch[2][0][4] = 2596.12 thisChisq = 0.0175764 chisq_Dch = 49.6591 [i][j][k] = [2][1][0] nCand_D0[2][1][0] = -0.137912 var_D0[2][1][0] = 151.005 thisChisq = 0.000125954 chisq_D0 = 54.5958 nCand_Dch[2][1][0] = -36.5812 var_Dch[2][1][0] = 545.799 thisChisq = 2.45179 chisq_Dch = 52.1109 [i][j][k] = [2][1][1] nCand_D0[2][1][1] = 7.42509 var_D0[2][1][1] = 747.465 thisChisq = 0.0737585 chisq_D0 = 54.6696 nCand_Dch[2][1][1] = -15.8555 var_Dch[2][1][1] = 2466.78 thisChisq = 0.101913 chisq_Dch = 52.2128 [i][j][k] = [2][1][2] nCand_D0[2][1][2] = -13.6812 var_D0[2][1][2] = 1615.06 thisChisq = 0.115895 chisq_D0 = 54.7855 nCand_Dch[2][1][2] = -17.4397 var_Dch[2][1][2] = 4487.69 thisChisq = 0.0677726 chisq_Dch = 52.2806 [i][j][k] = [2][1][3] nCand_D0[2][1][3] = -28.6703 var_D0[2][1][3] = 1615.85 thisChisq = 0.5087 chisq_D0 = 55.2942 nCand_Dch[2][1][3] = -112.939 var_Dch[2][1][3] = 5352.76 thisChisq = 2.38293 chisq_Dch = 54.6635 [i][j][k] = [2][1][4] nCand_D0[2][1][4] = -32.4457 var_D0[2][1][4] = 1814.3 thisChisq = 0.580238 chisq_D0 = 55.8744 nCand_Dch[2][1][4] = 87.8469 var_Dch[2][1][4] = 6466.14 thisChisq = 1.19346 chisq_Dch = 55.857 [i][j][k] = [2][2][0] nCand_D0[2][2][0] = -0.143675 var_D0[2][2][0] = 429.451 thisChisq = 4.80673e-05 chisq_D0 = 55.8744 nCand_Dch[2][2][0] = -6.94426 var_Dch[2][2][0] = 1370.58 thisChisq = 0.0351842 chisq_Dch = 55.8922 [i][j][k] = [2][2][1] nCand_D0[2][2][1] = -24.3571 var_D0[2][2][1] = 950.74 thisChisq = 0.624008 chisq_D0 = 56.4984 nCand_Dch[2][2][1] = 51.8122 var_Dch[2][2][1] = 2568.47 thisChisq = 1.04518 chisq_Dch = 56.9374 [i][j][k] = [2][2][2] nCand_D0[2][2][2] = -33.7018 var_D0[2][2][2] = 1769.72 thisChisq = 0.641801 chisq_D0 = 57.1402 nCand_Dch[2][2][2] = -41.1199 var_Dch[2][2][2] = 4024.78 thisChisq = 0.42011 chisq_Dch = 57.3575 [i][j][k] = [2][2][3] nCand_D0[2][2][3] = 49.2791 var_D0[2][2][3] = 1349.4 thisChisq = 1.79963 chisq_D0 = 58.9399 nCand_Dch[2][2][3] = -53.982 var_Dch[2][2][3] = 4000.46 thisChisq = 0.728431 chisq_Dch = 58.0859 [i][j][k] = [2][2][4] nCand_D0[2][2][4] = 13.8944 var_D0[2][2][4] = 1829.73 thisChisq = 0.105509 chisq_D0 = 59.0454 nCand_Dch[2][2][4] = 29.2323 var_Dch[2][2][4] = 6204.62 thisChisq = 0.137724 chisq_Dch = 58.2236 [i][j][k] = [2][3][0] nCand_D0[2][3][0] = -12.132 var_D0[2][3][0] = 362.012 thisChisq = 0.406572 chisq_D0 = 59.452 nCand_Dch[2][3][0] = -28.7329 var_Dch[2][3][0] = 1151.85 thisChisq = 0.716742 chisq_Dch = 58.9404 [i][j][k] = [2][3][1] nCand_D0[2][3][1] = -2.7569 var_D0[2][3][1] = 770.337 thisChisq = 0.00986645 chisq_D0 = 59.4618 nCand_Dch[2][3][1] = 83.2543 var_Dch[2][3][1] = 1630.7 thisChisq = 4.2505 chisq_Dch = 63.1909 [i][j][k] = [2][3][2] nCand_D0[2][3][2] = -73.5117 var_D0[2][3][2] = 1308.16 thisChisq = 4.13098 chisq_D0 = 63.5928 nCand_Dch[2][3][2] = -81.9295 var_Dch[2][3][2] = 2574 thisChisq = 2.60779 chisq_Dch = 65.7987 [i][j][k] = [2][3][3] nCand_D0[2][3][3] = -67.0831 var_D0[2][3][3] = 952.507 thisChisq = 4.72452 chisq_D0 = 68.3173 nCand_Dch[2][3][3] = -24.902 var_Dch[2][3][3] = 2710.55 thisChisq = 0.228776 chisq_Dch = 66.0274 [i][j][k] = [2][3][4] nCand_D0[2][3][4] = 62.9154 var_D0[2][3][4] = 1281.87 thisChisq = 3.08794 chisq_D0 = 71.4053 nCand_Dch[2][3][4] = 70.8537 var_Dch[2][3][4] = 4100.45 thisChisq = 1.22432 chisq_Dch = 67.2517 [i][j][k] = [2][4][0] nCand_D0[2][4][0] = 6.84431 var_D0[2][4][0] = 105.414 thisChisq = 0.444386 chisq_D0 = 71.8497 nCand_Dch[2][4][0] = -13.9205 var_Dch[2][4][0] = 221.183 thisChisq = 0.876111 chisq_Dch = 68.1279 [i][j][k] = [2][4][1] nCand_D0[2][4][1] = -36.9078 var_D0[2][4][1] = 283.537 thisChisq = 4.80426 chisq_D0 = 76.6539 nCand_Dch[2][4][1] = -21.7789 var_Dch[2][4][1] = 497.792 thisChisq = 0.952851 chisq_Dch = 69.0807 [i][j][k] = [2][4][2] nCand_D0[2][4][2] = -20.6099 var_D0[2][4][2] = 733.343 thisChisq = 0.579222 chisq_D0 = 77.2331 nCand_Dch[2][4][2] = -15.0031 var_Dch[2][4][2] = 1486.33 thisChisq = 0.151442 chisq_Dch = 69.2321 [i][j][k] = [2][4][3] nCand_D0[2][4][3] = -23.6264 var_D0[2][4][3] = 692.875 thisChisq = 0.805642 chisq_D0 = 78.0388 nCand_Dch[2][4][3] = 72.2077 var_Dch[2][4][3] = 2045.78 thisChisq = 2.54864 chisq_Dch = 71.7808 [i][j][k] = [2][4][4] nCand_D0[2][4][4] = -34.8678 var_D0[2][4][4] = 708.904 thisChisq = 1.71499 chisq_D0 = 79.7538 nCand_Dch[2][4][4] = -32.607 var_Dch[2][4][4] = 2372.98 thisChisq = 0.44805 chisq_Dch = 72.2288 [i][j][k] = [2][5][0] [i][j][k] = [2][5][1] [i][j][k] = [2][5][2] nCand_D0[2][5][2] = 2.57021 var_D0[2][5][2] = 16.1094 thisChisq = 0.410069 chisq_D0 = 80.1638 nCand_Dch[2][5][2] = 6.47732 var_Dch[2][5][2] = 40.905 thisChisq = 1.02569 chisq_Dch = 73.2545 [i][j][k] = [2][5][3] nCand_D0[2][5][3] = -6.43234 var_D0[2][5][3] = 308.483 thisChisq = 0.134124 chisq_D0 = 80.298 nCand_Dch[2][5][3] = -23.5929 var_Dch[2][5][3] = 951.79 thisChisq = 0.58482 chisq_Dch = 73.8394 [i][j][k] = [2][5][4] nCand_D0[2][5][4] = 19.9627 var_D0[2][5][4] = 541.897 thisChisq = 0.735394 chisq_D0 = 81.0334 nCand_Dch[2][5][4] = 3.31279 var_Dch[2][5][4] = 1840.25 thisChisq = 0.00596364 chisq_Dch = 73.8453 [i][j][k] = [3][0][0] [i][j][k] = [3][0][1] [i][j][k] = [3][0][2] [i][j][k] = [3][0][3] nCand_D0[3][0][3] = -13.7295 var_D0[3][0][3] = 40.3034 thisChisq = 4.677 chisq_D0 = 85.7104 [i][j][k] = [3][0][4] nCand_D0[3][0][4] = 2.13667 var_D0[3][0][4] = 572.452 thisChisq = 0.00797509 chisq_D0 = 85.7183 nCand_Dch[3][0][4] = -7.39779 var_Dch[3][0][4] = 1764.14 thisChisq = 0.0310221 chisq_Dch = 73.8763 [i][j][k] = [3][1][0] [i][j][k] = [3][1][1] [i][j][k] = [3][1][2] nCand_D0[3][1][2] = 2.96937 var_D0[3][1][2] = 12.7196 thisChisq = 0.693197 chisq_D0 = 86.4115 [i][j][k] = [3][1][3] nCand_D0[3][1][3] = 3.4755 var_D0[3][1][3] = 319.908 thisChisq = 0.0377581 chisq_D0 = 86.4493 nCand_Dch[3][1][3] = -20.3864 var_Dch[3][1][3] = 920.321 thisChisq = 0.451587 chisq_Dch = 74.3279 [i][j][k] = [3][1][4] nCand_D0[3][1][4] = -17.7534 var_D0[3][1][4] = 944.98 thisChisq = 0.333535 chisq_D0 = 86.7828 nCand_Dch[3][1][4] = -17.5118 var_Dch[3][1][4] = 3037.03 thisChisq = 0.100974 chisq_Dch = 74.4289 [i][j][k] = [3][2][0] [i][j][k] = [3][2][1] [i][j][k] = [3][2][2] nCand_D0[3][2][2] = 8.69655 var_D0[3][2][2] = 160.273 thisChisq = 0.471883 chisq_D0 = 87.2547 nCand_Dch[3][2][2] = -20.1649 var_Dch[3][2][2] = 301.409 thisChisq = 1.34907 chisq_Dch = 75.778 [i][j][k] = [3][2][3] nCand_D0[3][2][3] = -7.95857 var_D0[3][2][3] = 602.21 thisChisq = 0.105177 chisq_D0 = 87.3599 nCand_Dch[3][2][3] = -32.7532 var_Dch[3][2][3] = 1402.7 thisChisq = 0.764792 chisq_Dch = 76.5428 [i][j][k] = [3][2][4] nCand_D0[3][2][4] = -60.6969 var_D0[3][2][4] = 741.656 thisChisq = 4.96742 chisq_D0 = 92.3273 nCand_Dch[3][2][4] = 55.3978 var_Dch[3][2][4] = 2439.73 thisChisq = 1.25789 chisq_Dch = 77.8007 [i][j][k] = [3][3][0] [i][j][k] = [3][3][1] nCand_D0[3][3][1] = -3.67566 var_D0[3][3][1] = 17.4003 thisChisq = 0.776452 chisq_D0 = 93.1038 nCand_Dch[3][3][1] = 1.13864 var_Dch[3][3][1] = 26.4021 thisChisq = 0.0491058 chisq_Dch = 77.8498 [i][j][k] = [3][3][2] nCand_D0[3][3][2] = 21.5277 var_D0[3][3][2] = 269.683 thisChisq = 1.71847 chisq_D0 = 94.8222 nCand_Dch[3][3][2] = -17.3213 var_Dch[3][3][2] = 437.739 thisChisq = 0.685405 chisq_Dch = 78.5352 [i][j][k] = [3][3][3] nCand_D0[3][3][3] = -55.8668 var_D0[3][3][3] = 558.177 thisChisq = 5.5916 chisq_D0 = 100.414 nCand_Dch[3][3][3] = -54.3963 var_Dch[3][3][3] = 1190.19 thisChisq = 2.48613 chisq_Dch = 81.0213 [i][j][k] = [3][3][4] nCand_D0[3][3][4] = -22.0522 var_D0[3][3][4] = 444.448 thisChisq = 1.09416 chisq_D0 = 101.508 nCand_Dch[3][3][4] = -29.213 var_Dch[3][3][4] = 1491.27 thisChisq = 0.572263 chisq_Dch = 81.5936 [i][j][k] = [3][4][0] [i][j][k] = [3][4][1] nCand_D0[3][4][1] = -4.99626 var_D0[3][4][1] = 22.9129 thisChisq = 1.08946 chisq_D0 = 102.597 [i][j][k] = [3][4][2] nCand_D0[3][4][2] = -32.9689 var_D0[3][4][2] = 115.845 thisChisq = 9.38281 chisq_D0 = 111.98 nCand_Dch[3][4][2] = -5.23214 var_Dch[3][4][2] = 185.481 thisChisq = 0.147591 chisq_Dch = 81.7412 [i][j][k] = [3][4][3] nCand_D0[3][4][3] = 18.1149 var_D0[3][4][3] = 357.554 thisChisq = 0.917768 chisq_D0 = 112.898 nCand_Dch[3][4][3] = -19.7557 var_Dch[3][4][3] = 816.14 thisChisq = 0.478213 chisq_Dch = 82.2194 [i][j][k] = [3][4][4] nCand_D0[3][4][4] = -22.1723 var_D0[3][4][4] = 264.035 thisChisq = 1.86192 chisq_D0 = 114.76 nCand_Dch[3][4][4] = -42.7169 var_Dch[3][4][4] = 944.6 thisChisq = 1.93175 chisq_Dch = 84.1511 [i][j][k] = [3][5][0] [i][j][k] = [3][5][1] [i][j][k] = [3][5][2] [i][j][k] = [3][5][3] nCand_D0[3][5][3] = 2.65112 var_D0[3][5][3] = 112.606 thisChisq = 0.0624161 chisq_D0 = 114.822 nCand_Dch[3][5][3] = -3.66776 var_Dch[3][5][3] = 321.458 thisChisq = 0.0418483 chisq_Dch = 84.193 [i][j][k] = [3][5][4] nCand_D0[3][5][4] = -15.3913 var_D0[3][5][4] = 231.971 thisChisq = 1.02122 chisq_D0 = 115.844 nCand_Dch[3][5][4] = -17.818 var_Dch[3][5][4] = 702.529 thisChisq = 0.451911 chisq_Dch = 84.6449 Number of bins into chisq = 188 from D0 = 96 from Dch = 92 chisq_D0 = 115.844 chisq_Dch = 84.6449 chisq = 200.488 FCN=200.488 FROM CALl fcn STATUS=RESET 1 CALLS 1 TOTAL EDM= unknown STRATEGY= 1 NO ERROR MATRIX EXT PARAMETER CURRENT GUESS PHYSICAL LIMITS NO. NAME VALUE ERROR NEGATIVE POSITIVE 1 B_B1 2.10000e-02 1.00000e-03 0.00000e+00 1.00000e+00 2 B_B2 5.60000e-02 1.00000e-03 0.00000e+00 1.00000e+00 3 B_B31 2.00000e-03 1.00000e-03 0.00000e+00 1.00000e+00 4 B_B32 5.60000e-03 1.00000e-03 0.00000e+00 1.00000e+00 5 B_B33 3.70000e-03 1.00000e-03 0.00000e+00 1.00000e+00 6 B_B34 3.70000e-03 1.00000e-03 0.00000e+00 1.00000e+00 7 B_B41 6.00000e-03 1.00000e-03 0.00000e+00 1.00000e+00 8 B_B42 2.00000e-03 1.00000e-03 0.00000e+00 1.00000e+00 9 FF slope 1.35000e+00 2.00000e-01 -1.00000e+00 4.00000e+00 10 Uncorr(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 11 CaslcL(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 12 FakeL(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 13 ContD(D0) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 14 Uncorr(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 15 CaslcL(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 16 FakeL(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 17 ContD(Dch) 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 18 f_+0 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 19 c_D+0 1.00000e+00 1.00000e-02 0.00000e+00 2.00000e+00 ********** ** 2 **SET PRINT 0 ********** ********** ** 3 **FIX 9 ********** ********** ** 4 **MIGRAD ********** MIGRAD MINIMIZATION HAS CONVERGED. FCN=167.392 FROM MIGRAD STATUS=CONVERGED 947 CALLS 948 TOTAL EDM=2.02426e-06 STRATEGY= 1 ERROR MATRIX UNCERTAINTY 7.5 per cent EXT PARAMETER STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 B_B1 2.09698e-02 6.20761e-04 -1.17493e-05 1.02817e-01 2 B_B2 5.51898e-02 8.52184e-04 1.51073e-05 5.95581e-01 3 B_B31 1.38605e-03 1.69710e-03 2.36345e-04 -4.95251e-02 4 B_B32 4.29739e-03 2.84969e-03 -1.89591e-04 2.69978e-02 5 B_B33 4.25597e-03 2.20803e-03 6.78752e-05 -3.88226e-02 6 B_B34 4.16378e-03 1.99572e-03 7.91643e-06 1.51788e-01 7 B_B41 6.23911e-03 1.06150e-03 -3.72015e-05 5.52265e-02 8 B_B42 2.37084e-03 1.05402e-03 1.15670e-04 2.34786e-02 9 FF slope 1.35000e+00 fixed 10 Uncorr(D0) 1.01605e+00 4.64283e-02 -6.40991e-06 -2.43751e-03 11 CaslcL(D0) 9.45695e-01 5.84083e-02 -2.53892e-04 5.53760e-03 12 FakeL(D0) 1.14362e+00 2.20428e-01 9.53036e-04 2.54554e-03 13 ContD(D0) 8.70572e-01 5.16586e-02 1.73448e-04 4.63240e-03 14 Uncorr(Dch) 1.11582e+00 1.08187e-01 -3.47883e-05 5.43926e-03 15 CaslcL(Dch) 9.55771e-01 1.29822e-01 2.24616e-04 6.44453e-03 16 FakeL(Dch) 8.92136e-01 4.69078e-01 -2.71601e-03 9.28639e-04 17 ContD(Dch) 1.01992e+00 1.24409e-01 3.07674e-05 2.57010e-03 18 f_+0 1.00002e+00 1.99314e-02 -5.31277e-05 -1.99904e-01 19 c_D+0 9.76019e-01 2.11843e-02 2.21755e-05 4.25189e-04 ********** ** 5 **SHOW COVARIANCE ********** EXTERNAL ERROR MATRIX. NDIM= 19 NPAR= 18 ERR DEF=1 ELEMENTS ABOVE DIAGONAL ARE NOT PRINTED. 3.853e-07 1.509e-07 7.262e-07 2.886e-07 8.760e-07 2.882e-06 4.459e-08 1.768e-08 -1.658e-07 8.126e-06 2.959e-07 1.832e-08 -5.537e-07 -5.311e-06 4.877e-06 -6.162e-07 -1.199e-06 -1.612e-06 -2.936e-06 1.514e-06 3.984e-06 1.542e-07 -1.828e-07 -4.749e-07 1.994e-07 4.046e-07 -8.493e-08 1.127e-06 -1.712e-09 3.085e-07 6.444e-07 -7.978e-07 -2.072e-07 -3.870e-07 -5.492e-07 1.111e-06 4.717e-06 4.383e-06 1.923e-05 -6.097e-06 8.820e-06 -1.086e-05 -1.224e-05 1.109e-06 2.157e-03 2.673e-07 2.168e-06 -8.600e-06 9.911e-06 4.046e-06 4.971e-06 -8.638e-06 -1.946e-05 -3.524e-04 3.415e-03 -1.087e-05 5.654e-06 3.563e-05 -9.568e-05 3.416e-05 -9.204e-06 -6.102e-06 3.782e-05 -3.238e-04 -6.556e-03 4.941e-02 -5.988e-06 5.003e-06 -9.093e-07 -1.618e-05 7.625e-06 -4.797e-06 1.164e-06 9.033e-06 1.407e-04 -5.360e-04 -1.255e-03 -5.988e-06 5.003e-06 -9.093e-07 -1.618e-05 7.625e-06 -4.797e-06 1.164e-06 9.033e-06 1.407e-04 -5.360e-04 -1.255e-03 2.671e-03 1.506e-05 2.198e-05 6.906e-05 -2.531e-05 1.060e-05 -3.853e-05 -2.783e-05 2.067e-05 8.789e-04 9.072e-05 4.210e-04 1.506e-05 2.198e-05 6.906e-05 -2.531e-05 1.060e-05 -3.853e-05 -2.783e-05 2.067e-05 8.789e-04 9.072e-05 4.210e-04 -2.636e-04 1.175e-02 1.535e-05 1.437e-05 2.533e-06 2.390e-05 2.857e-06 -4.789e-05 -3.262e-05 9.693e-06 6.866e-04 7.683e-04 -1.132e-03 1.535e-05 1.437e-05 2.533e-06 2.390e-05 2.857e-06 -4.789e-05 -3.262e-05 9.693e-06 6.866e-04 7.683e-04 -1.132e-03 -3.175e-04 -2.426e-03 1.695e-02 -1.364e-05 -2.206e-05 -9.118e-05 -1.872e-05 1.787e-05 6.402e-05 1.309e-05 -9.545e-06 -6.302e-04 1.885e-04 4.516e-04 -1.364e-05 -2.206e-05 -9.118e-05 -1.872e-05 1.787e-05 6.402e-05 1.309e-05 -9.545e-06 -6.302e-04 1.885e-04 4.516e-04 3.691e-04 -2.356e-03 -2.968e-02 2.386e-01 -7.437e-06 -1.001e-05 -1.618e-05 -1.537e-05 1.533e-05 1.652e-05 2.925e-05 -1.181e-05 -5.569e-04 -4.273e-04 8.214e-05 -7.437e-06 -1.001e-05 -1.618e-05 -1.537e-05 1.533e-05 1.652e-05 2.925e-05 -1.181e-05 -5.569e-04 -4.273e-04 8.214e-05 2.226e-04 7.532e-04 -3.098e-03 -9.926e-03 1.556e-02 -7.744e-06 -1.272e-05 -2.122e-05 4.541e-06 -1.099e-05 2.674e-05 -1.390e-06 -3.236e-06 -2.924e-04 4.366e-05 -4.911e-04 -7.744e-06 -1.272e-05 -2.122e-05 4.541e-06 -1.099e-05 2.674e-05 -1.390e-06 -3.236e-06 -2.924e-04 4.366e-05 -4.911e-04 -9.478e-05 -6.132e-04 -2.788e-04 5.982e-04 2.238e-04 3.973e-04 -7.961e-06 -3.554e-06 -1.655e-05 1.393e-05 -1.328e-05 7.849e-06 -4.369e-06 -3.038e-07 -1.224e-04 6.203e-05 1.482e-04 -7.961e-06 -3.554e-06 -1.655e-05 1.393e-05 -1.328e-05 7.849e-06 -4.369e-06 -3.038e-07 -1.224e-04 6.203e-05 1.482e-04 1.496e-04 -1.020e-03 1.222e-04 -1.970e-03 -5.276e-04 1.930e-04 4.488e-04 PARAMETER CORRELATION COEFFICIENTS NO. GLOBAL 1 2 3 4 5 6 7 8 10 11 12 13 14 15 16 17 1 0.88757 1.000 0.285 0.274 0.025 0.216 -0.497 0.234 -0.003 0.164 0.007 -0.079 -0.187 0.224 0.190 -0.045 -0.096 2 0.92541 0.285 1.000 0.606 0.007 0.010 -0.705 -0.202 0.343 0.111 0.044 0.030 0.114 0.238 0.130 -0.053 -0.094 3 0.94817 0.274 0.606 1.000 -0.034 -0.148 -0.476 -0.264 0.360 0.244 -0.087 0.094 -0.010 0.375 0.011 -0.110 -0.076 4 0.98963 0.025 0.007 -0.034 1.000 -0.844 -0.516 0.066 -0.266 -0.046 0.059 -0.151 -0.110 -0.082 0.064 -0.013 -0.043 5 0.98468 0.216 0.010 -0.148 -0.844 1.000 0.344 0.173 -0.089 0.086 0.031 0.070 0.067 0.044 0.010 0.017 0.056 6 0.97036 -0.497 -0.705 -0.476 -0.516 0.344 1.000 -0.040 -0.184 -0.117 0.043 -0.021 -0.046 -0.178 -0.184 0.066 0.066 7 0.89761 0.234 -0.202 -0.264 0.066 0.173 -0.040 1.000 -0.491 -0.248 -0.139 -0.026 0.021 -0.242 -0.236 0.025 0.221 8 0.94266 -0.003 0.343 0.360 -0.266 -0.089 -0.184 -0.491 1.000 0.023 -0.316 0.161 0.166 0.181 0.071 -0.019 -0.090 10 0.68460 0.164 0.111 0.244 -0.046 0.086 -0.117 -0.248 0.023 1.000 -0.130 -0.031 0.059 0.175 0.114 -0.028 -0.096 11 0.81133 0.007 0.044 -0.087 0.059 0.031 0.043 -0.139 -0.316 -0.130 1.000 -0.505 -0.177 0.014 0.101 0.007 -0.059 12 0.77594 -0.079 0.030 0.094 -0.151 0.070 -0.021 -0.026 0.161 -0.031 -0.505 1.000 -0.109 0.017 -0.039 0.004 0.003 13 0.59610 -0.187 0.114 -0.010 -0.110 0.067 -0.046 0.021 0.166 0.059 -0.177 -0.109 1.000 -0.047 -0.047 0.015 0.035 14 0.73171 0.224 0.238 0.375 -0.082 0.044 -0.178 -0.242 0.181 0.175 0.014 0.017 -0.047 1.000 -0.172 -0.044 0.056 15 0.78895 0.190 0.130 0.011 0.064 0.010 -0.184 -0.236 0.071 0.114 0.101 -0.039 -0.047 -0.172 1.000 -0.467 -0.191 16 0.80051 -0.045 -0.053 -0.110 -0.013 0.017 0.066 0.025 -0.019 -0.028 0.007 0.004 0.015 -0.044 -0.467 1.000 -0.163 17 0.65473 -0.096 -0.094 -0.076 -0.043 0.056 0.066 0.221 -0.090 -0.096 -0.059 0.003 0.035 0.056 -0.191 -0.163 1.000 18 0.95970 -0.626 -0.749 -0.627 0.080 -0.250 0.672 -0.066 -0.154 -0.316 0.037 -0.111 -0.092 -0.284 -0.107 0.061 0.090 1.000 0.457 19 0.91189 -0.605 -0.197 -0.460 0.231 -0.284 0.186 -0.194 -0.014 -0.124 0.050 0.031 0.137 -0.444 0.044 -0.190 -0.200 0.457 1.000 ********** ** 6 **CALL FCN 2 ********** chisq_D0 = 92.6378 chisq_Dch = 74.1791 chisq = 167.392 Time at the end of job = 295.39 seconds BF1 = 0.0209698 BF2 = 0.0551898 BF31 = 0.00138605 BF32 = 0.00429739 BF33 = 0.00425597 BF34 = 0.00416378 BF41 = 0.00623911 BF42 = 0.00237084 BF1_err = 0.000620761 BF2_err = 0.000852184 BF31_err = 0.0016971 BF32_err = 0.00284969 BF33_err = 0.00220803 BF34_err = 0.00199572 BF41_err = 0.0010615 BF42_err = 0.00105402 ratio_D0star = 0.35714 ratio_D1p = 0.66071 ratio_D2star = 1.85 ratio_DstarPi = 1.24074 BF1 = 0.0209698 BF2 = 0.0551898 BF31 = 0.00138605 BF32 = 0.00429739 BF33 = 0.00425597 BF34 = 0.00416378 BF41 = 0.00623911 BF42 = 0.00237084 TotFrac = 0.103178 ************************* ** Branching Fractions ** ************************* B(B->Dlnu) = 0.0211369 +- 0.000625708 (2.96027 %) B(B->D*lnu) = 0.0556297 +- 0.000858975 (1.5441 %) B(B->D0*lnu) = 0.0013971 +- 0.00171063 (122.442 %) B(B->D1lnu) = 0.00433164 +- 0.0028724 (66.3121 %) B(B->D1'lnu) = 0.00428989 +- 0.00222563 (51.8808 %) B(B->D2*lnu) = 0.00419696 +- 0.00201162 (47.9304 %) B(B->DPi+lnu) = 0.00628884 +- 0.00106996 (17.0137 %) B(B->DPi0lnu) = 0.00314442 B(B->D*Pi+lnu) = 0.00238974 +- 0.00106242 (44.4577 %) B(B->D*Pi0lnu) = 0.00119487 Sum of BR's = 0.104 slope = 1.35 +- 0 (0 %) BkgD0(Uncorr) = 1.01605 +- 0.0464283 (4.56948 %) BkgD0(Casc L) = 0.945695 +- 0.0584083 (6.17623 %) BkgD0(Fake L) = 1.14362 +- 0.220428 (19.2746 %) BkgD0(Cont D) = 0.870572 +- 0.0516586 (5.93387 %) BkgDch(Uncorr) = 1.11582 +- 0.108187 (9.69576 %) BkgDch(Casc L) = 0.955771 +- 0.129822 (13.583 %) BkgDch(Fake L) = 0.892136 +- 0.469078 (52.5792 %) BkgDch(Cont D) = 1.01992 +- 0.124409 (12.1979 %) f_+0 = f+-/f00 = 1.00002 +- 0.0199314 (1.9931 %) c_D+0 = D+-/D00 = 0.976019 +- 0.0211843 (2.17048 %)