Fitting statistics for "Global.U_model_1D_LR_LB_SF.global" on per-dataset basis: ----------------- Fitting results for "G138N-H_x_w1-1" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 33 rows R-square: 9.792106e-01 Sum of squares of residuals: 3.639038e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e-06 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.000e+03 ) { -1.000e+00 1.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.000e+03 ) { -1.000e+00 1.000e+00 } Fitting results for "G138N-H_x_w1-2" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 31 rows R-square: 9.823628e-01 Sum of squares of residuals: 3.126175e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.840000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "G138N-H_x_w1-3" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 31 rows R-square: 9.685819e-01 Sum of squares of residuals: 5.442836e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.700000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "G138N-H_x_w1-4" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 33 rows R-square: 9.723599e-01 Sum of squares of residuals: 5.836065e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.940000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "G138N-H_x_w1-5" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 33 rows R-square: 9.600574e-01 Sum of squares of residuals: 8.007280e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.910000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "G138N-H_x_w1-6" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 33 rows R-square: 9.610682e-01 Sum of squares of residuals: 7.497761e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.840000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "G138N-H_x_w1-7" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 33 rows R-square: 9.661931e-01 Sum of squares of residuals: 6.531691e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.690000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "G138N-H_x_w1-8" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 33 rows R-square: 9.874605e-01 Sum of squares of residuals: 3.086605e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.940000e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.539161e+04 [ 3.539e+04 3.539e+04 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "I139N-H_x_w2-1" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 23 rows R-square: 9.916560e-01 Sum of squares of residuals: 7.664591e-03 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e-06 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.000e+03 ) { -1.000e+00 1.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.000e+03 ) { -1.000e+00 1.000e+00 } Fitting results for "I139N-H_x_w2-2" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 21 rows R-square: 9.803418e-01 Sum of squares of residuals: 1.662378e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.840000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "I139N-H_x_w2-3" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 25 rows R-square: 9.812438e-01 Sum of squares of residuals: 1.527829e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.700000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "I139N-H_x_w2-4" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 25 rows R-square: 9.836426e-01 Sum of squares of residuals: 1.561554e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.940000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "I139N-H_x_w2-5" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 25 rows R-square: 9.759904e-01 Sum of squares of residuals: 1.828464e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.910000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "I139N-H_x_w2-6" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 25 rows R-square: 9.904750e-01 Sum of squares of residuals: 9.068093e-03 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.840000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "I139N-H_x_w2-7" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 23 rows R-square: 9.868065e-01 Sum of squares of residuals: 1.066132e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.690000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "I139N-H_x_w2-8" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 21 rows R-square: 9.878146e-01 Sum of squares of residuals: 9.093804e-03 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.940000e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.227949e+00 [ 2.185e+00 2.281e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.524987e+04 [ 2.525e+04 2.525e+04 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+02 } (9) ScaleFactor = +4.933146e+02 [ 4.528e+02 5.593e+02 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 }