reading values from text file: corr_Wwin06_1111.txt bin [0] = 0 1.82074 +/- 0.576767 bin [1] = 1.55 3.53191 +/- 0.756794 bin [2] = 1.9 2.72158 +/- 0.404356 bin [3] = 2.2 2.61362 +/- 0.66292 bin [4] = 2.5 2.07334 +/- 0.814513 bin [5] = 2.8 1.59886 +/- 0.942273 bin [6] = 3.1 0.907908 +/- 0.880775 bin [7] = 3.4 2.69823 +/- 3.53134 bin [8] = 3.7 0.874605 +/- 1.61436 bin [9] = 4.2 3.30556 +/- 12.5345 bin [10] = 5 0 +/- 0 : created default TCanvas with name c1 ********** ** 1 **SET ERR 1 ********** PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 1 Constant 3.21354e+00 9.64061e-01 no limits 2 Mean 2.91329e+00 8.73988e-01 no limits 3 Sigma 9.80276e-01 9.80276e-01 0.00000e+00 9.80276e+00 MINUIT WARNING IN PARAMETR ============== VARIABLE3 IS AT ITS LOWER ALLOWED LIMIT. ********** ** 2 **SET PRINT 0 ********** ********** ** 3 **MIGRAD 5000 0.0001757 ********** MIGRAD MINIMIZATION HAS CONVERGED. MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX. EIGENVALUES OF SECOND-DERIVATIVE MATRIX: -8.3360e-05 1.3927e-02 2.9862e+00 MINUIT WARNING IN HESSE ============== MATRIX FORCED POS-DEF BY ADDING 0.003070 TO DIAGONAL. FCN=0.734914 FROM MIGRAD STATUS=CONVERGED 353 CALLS 354 TOTAL EDM=2.55565e-10 STRATEGY= 1 ERR MATRIX NOT POS-DEF EXT PARAMETER APPROXIMATE STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 Constant 9.88148e+00 9.75526e+00 6.57246e-04 -2.20690e-05 2 Mean -2.20089e+00 2.58442e+00 1.11402e-04 -1.28662e-04 3 Sigma 2.69156e+00 9.44711e-01 1.56112e-05 -9.02768e-04 ********** ** 4 **IMPROVE ********** EIGENVALUES OF SECOND-DERIVATIVE MATRIX: -4.1691e-06 1.4029e-02 2.9860e+00 MINUIT WARNING IN HESSE ============== MATRIX FORCED POS-DEF BY ADDING 0.002990 TO DIAGONAL. START ATTEMPT NO. 1 TO FIND NEW MINIMUM ********** ** 5 **HESSE ********** FCN=0.734914 FROM HESSE STATUS=OK 16 CALLS 390 TOTAL EDM=3.30701e-10 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER INTERNAL INTERNAL NO. NAME VALUE ERROR STEP SIZE VALUE 1 Constant 9.88148e+00 1.31716e+02 2.62898e-05 9.88148e+00 2 Mean -2.20089e+00 4.22920e+01 4.45609e-06 -2.20089e+00 3 Sigma 2.69156e+00 6.38356e+00 6.24446e-07 -4.67726e-01 ********** ** 6 **MINOS ********** MINUIT WARNING IN MIGRAD ============== Negative diagonal element 1 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 2 in Error Matrix MINUIT WARNING IN MIGRAD ============== 1.28433 added to diagonal of error matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 1 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 2 in Error Matrix MINUIT WARNING IN MIGRAD ============== 3.69144e+06 added to diagonal of error matrix EIGENVALUES OF SECOND-DERIVATIVE MATRIX: -1.0985e+02 1.1185e+02 MINUIT WARNING IN MIGRAD ============== MATRIX FORCED POS-DEF BY ADDING 109.961067 TO DIAGONAL. MINUIT WARNING IN MIGRAD ============== Negative diagonal element 2 in Error Matrix MINUIT WARNING IN MIGRAD ============== 413.167 added to diagonal of error matrix MIGRAD FAILS WITH STRATEGY=0. WILL TRY WITH STRATEGY=1. MINUIT WARNING IN MIGRAD ============== VARIABLE3 IS AT ITS UPPER ALLOWED LIMIT. MINUIT WARNING IN MIGRAD ============== STARTING MATRIX NOT POS-DEFINITE. MINUIT WARNING IN MIGRAD ============== Negative diagonal element 1 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 2 in Error Matrix MINUIT WARNING IN MIGRAD ============== 5.82969e+13 added to diagonal of error matrix MIGRAD FAILS WITH STRATEGY=0. WILL TRY WITH STRATEGY=1. CALL LIMIT EXCEEDED IN MIGRAD. MIGRAD FAILS WITH STRATEGY=0. WILL TRY WITH STRATEGY=1. MINUIT WARNING IN HESSE ============== Second derivative enters zero, param 2 MINUIT WARNING IN HESSE ============== Second derivative zero for parameter2 MNHESS FAILS AND WILL RETURN DIAGONAL MATRIX. MINUIT WARNING IN MNCROS ============== Cannot find slope of the right sign MINUIT WARNING IN MIGRAD ============== VARIABLE3 IS AT ITS LOWER ALLOWED LIMIT. FCN=0.734914 FROM MINOS STATUS=FAILURE 2880 CALLS 3270 TOTAL EDM=3.30701e-10 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER PARABOLIC MINOS ERRORS NO. NAME VALUE ERROR NEGATIVE POSITIVE 1 Constant 9.88148e+00 1.31716e+02 2 Mean -2.20089e+00 4.22920e+01 3 Sigma 2.69156e+00 6.38356e+00 FCN=0.734914 FROM MINOS STATUS=FAILURE 2880 CALLS 3270 TOTAL EDM=3.30701e-10 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER PARABOLIC MINOS ERRORS NO. NAME VALUE ERROR NEGATIVE POSITIVE 1 Constant 9.88148e+00 1.31716e+02 2 Mean -2.20089e+00 4.22920e+01 3 Sigma 2.69156e+00 6.38356e+00 mx = 0.775 input value 1.82074 fitted value: 5.36257 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 0.775 adding -4312.48 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 0.600625 adding 974.288 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 0.775 der. par0 1 adding -4312.48 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 0.775 der. par1 0.775 adding 1074.29 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 0.775 der. par2 0.600625 adding -243.281 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 0.600625 der. par0 1 adding 974.288 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 0.600625 der. par1 0.775 adding -243.281 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 0.600625 der. par2 0.600625 adding 55.2386 ErrBin = 106.375 mx = 1.725 input value 3.53191 fitted value: 3.41069 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 1.725 adding -9598.74 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 2.97562 adding 4826.83 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 1.725 der. par0 1 adding -9598.74 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 1.725 der. par1 1.725 adding 5322.25 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 1.725 der. par2 2.97562 adding -2682.69 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 2.97562 der. par0 1 adding 4826.83 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 2.97562 der. par1 1.725 adding -2682.69 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 2.97562 der. par2 2.97562 adding 1355.79 ErrBin = 95.4874 mx = 2.05 input value 2.72158 fitted value: 2.83914 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 2.05 adding -11407.2 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 4.2025 adding 6816.98 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 2.05 der. par0 1 adding -11407.2 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 2.05 der. par1 2.05 adding 7516.66 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 2.05 der. par2 4.2025 adding -4502.61 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 4.2025 der. par0 1 adding 6816.98 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 4.2025 der. par1 2.05 adding -4502.61 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 4.2025 der. par2 4.2025 adding 2704.28 ErrBin = 96.8724 mx = 2.35 input value 2.61362 fitted value: 2.36613 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 2.35 adding -13076.5 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 5.5225 adding 8958.18 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 2.35 der. par0 1 adding -13076.5 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 2.35 der. par1 2.35 adding 9877.63 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 2.35 der. par2 5.5225 adding -6782.76 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 5.5225 der. par0 1 adding 8958.18 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 5.5225 der. par1 2.35 adding -6782.76 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 5.5225 der. par2 5.5225 adding 4669.9 ErrBin = 100.47 mx = 2.65 input value 2.07334 fitted value: 1.94758 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 2.65 adding -14745.9 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 7.0225 adding 11391.4 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 2.65 der. par0 1 adding -14745.9 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 2.65 der. par1 2.65 adding 12560.6 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 2.65 der. par2 7.0225 adding -9726.14 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 7.0225 der. par0 1 adding 11391.4 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 7.0225 der. par1 2.65 adding -9726.14 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 7.0225 der. par2 7.0225 adding 7551.26 ErrBin = 106.299 mx = 2.95 input value 1.59886 fitted value: 1.58328 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 2.95 adding -16415.2 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 8.7025 adding 14116.5 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 2.95 der. par0 1 adding -16415.2 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 2.95 der. par1 2.95 adding 15565.4 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 2.95 der. par2 8.7025 adding -13417.4 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 8.7025 der. par0 1 adding 14116.5 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 8.7025 der. par1 2.95 adding -13417.4 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 8.7025 der. par2 8.7025 adding 11596.4 ErrBin = 114.362 mx = 3.25 input value 0.907908 fitted value: 1.27123 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 3.25 adding -18084.6 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 10.5625 adding 17133.7 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 3.25 der. par0 1 adding -18084.6 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 3.25 der. par1 3.25 adding 18892.3 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 3.25 der. par2 10.5625 adding -17941.3 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 10.5625 der. par0 1 adding 17133.7 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 10.5625 der. par1 3.25 adding -17941.3 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 10.5625 der. par2 10.5625 adding 17083.2 ErrBin = 124.66 mx = 3.55 input value 2.69823 fitted value: 1.00808 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 3.55 adding -19753.9 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 12.6025 adding 20442.8 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 3.55 der. par0 1 adding -19753.9 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 3.55 der. par1 3.55 adding 22541 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 3.55 der. par2 12.6025 adding -23382.3 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 12.6025 der. par0 1 adding 20442.8 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 12.6025 der. par1 3.55 adding -23382.3 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 12.6025 der. par2 12.6025 adding 24319.2 ErrBin = 137.194 mx = 3.95 input value 0.874605 fitted value: 0.725764 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 3.95 adding -21979.7 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 15.6025 adding 25309.2 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 3.95 der. par0 1 adding -21979.7 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 3.95 der. par1 3.95 adding 27906.9 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 3.95 der. par2 15.6025 adding -32210.2 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 15.6025 der. par0 1 adding 25309.2 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 15.6025 der. par1 3.95 adding -32210.2 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 15.6025 der. par2 15.6025 adding 37275.6 ErrBin = 157.384 mx = 4.6 input value 3.30556 fitted value: 0.405932 row 0 col 0 err.par0 131.716 err.par0 131.716 CovMat 17349 der.par0 1 der. par0 1 adding 17349 row 0 col 1 err.par0 131.716 err.par1 42.292 CovMat -5564.49 der.par0 1 der. par1 4.6 adding -25596.6 row 0 col 2 err.par0 131.716 err.par2 6.38356 CovMat 1622.12 der.par0 1 der. par2 21.16 adding 34324.1 row 1 col 0 err.par1 42.292 err.par0 131.716 CovMat -5564.49 der.par1 4.6 der. par0 1 adding -25596.6 row 1 col 1 err.par1 42.292 err.par1 42.292 CovMat 1788.62 der.par1 4.6 der. par1 4.6 adding 37847.1 row 1 col 2 err.par1 42.292 err.par2 6.38356 CovMat -522.64 der.par1 4.6 der. par2 21.16 adding -50871.7 row 2 col 0 err.par2 6.38356 err.par0 131.716 CovMat 1622.12 der.par2 21.16 der. par0 1 adding 34324.1 row 2 col 1 err.par2 6.38356 err.par1 42.292 CovMat -522.64 der.par2 21.16 der. par1 4.6 adding -50871.7 row 2 col 2 err.par2 6.38356 err.par2 6.38356 CovMat 153.121 der.par2 21.16 der. par2 21.16 adding 68559.4 ErrBin = 198.663