INFO: Using directory: "1" INFO: Using existing c-file: ./Gallmeier_SNS_decoupled_poisoned.c INFO: Using existing binary: ./Gallmeier_SNS_decoupled_poisoned.out INFO: === Simulation 'Gallmeier_SNS_decoupled_poisoned' (Gallmeier_SNS_decoupled_poisoned.instr): running on 20 nodes (master is 'hypatia.fysik.dtu.dk', MPI version 3.1). [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 [Gallmeier_SNS_decoupled_poisoned] Initialize File opened... ## begin version 0.98 fit file header ## generated at 51 ## from binned performance data file a1Gw2-2-f5.dat ## output reported is for 10x12 viewed area. ## normalized to 2.0807e+14 p/pulse and 1.000 GeV ## (2MW, 1GeV, 60 Hz) ## headerend ## ## section 1 key spectral fit ## ## Fitting function: ## I(E) = I*1e12 * exp(-c/sqrt(E)) ## * ( R1*E/(k*T1)**2*exp(-E/(k*T1)) + R2*E/(k*T2)**2*exp(-E/(k*T2) ## + R3*E/(k*T3)**2*exp(-(E/(k*T3))**b) + D(E)*rho(E)/E**(1-a) ) ## with ## D(E) = 1/(1+(Ecut/E)**s) ## rho(E) = 1 + delta*exp(-x)(1 + x +0.5*x**2) ## x(E) = g*(E-2B); for E>2B ## = 0; for E<=2B ## ## constants: ## k = 1.3805e-23 J/K = 8.617e-5 eV/K ## B = 7.36e-3 eV ## ## parameters: ## c , R1 , T1, R2, T2, R3, T3, a, b, Ecut , s, delta, g, I ## data start ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## ## end section 1 ## ## section 2: pulse shape fit ## using the fit function ## f(E,t) = (1-R)*A/2*(A*(t-to*10))**2 *exp(-A*(t-to*10)) ## +R*B*(A/(A-B))**3 *[ exp(-B*(t-to*10)) ## - exp(-A*(t-to*10))*(1+(A-B)*(t-to*10)+0.5*(A-B)**2*(t-to*10)**2) ] ## with ## A, B, R, to ## ## headerend ## ## subsection 1 fit of parameter A=A(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 1 ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## ## subsection 2 fit of parameter B=B(E) ## Fitting function: Pade' type ## f(x) = a*x**b*(1+c*x+d*x**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 ## ## end subsection 2 ## ## ## subsection 3 fit of parameter R=R(E) ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start ## ## end subsection 3 ## ## ## subsection 4 fit of parameter to=to(E) ## fitting function Padee type para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 ## fitting function Padee type ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 ## f(x) = a*x**b*(1+c*x+d*c**2+(x/f)**g)/(1+h*x+i*x**2+(x/j)**k) ## with ## a,b,c,d,f,g,h,i,j,k ## data start para_sp(0)=9.073509e-03 para_sp(1)=2.607747e-02 para_sp(2)=9.344832e+00 para_sp(3)=7.071257e-01 para_sp(4)=5.822344e+01 para_sp(5)=3.956326e-01 para_sp(6)=2.829649e+02 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_sp(7)=1.030640e-01 para_sp(8)=1.817121e+00 para_sp(9)=2.500000e-02 para_sp(10)=9.896372e-01 para_sp(11)=-9.899897e-02 para_sp(12)=1.388816e+01 para_sp(13)=6.113479e-01 para_a(0)=5.620912e+00 para_a(1)=5.366365e-01 para_a(2)=-3.177462e+00 para_a(3)=2.027900e+04 para_a(4)=5.815454e-05 para_a(5)=2.373533e+01 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_a(5)=2.373533e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_a(6)=-7.977061e+01 para_a(7)=1.590340e+04 para_a(8)=5.735750e-05 para_a(9)=2.384441e+01 para_b(0)=1.705417e-01 para_b(1)=4.054370e-01 para_b(2)=-3.402363e+01 para_b(3)=2.117341e+02 para_b(4)=1.169013e-01 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_b(5)=-1.018291e+01 para_b(6)=-2.776255e+01 para_b(7)=1.893133e+02 para_b(8)=9.697272e-02 para_b(9)=-1.022004e+01 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_R(0)=2.857209e-01 para_R(1)=0.000000e+00 para_R(2)=-1.571601e+01 para_R(3)=6.255654e+01 para_R(4)=3.289750e-02 para_R(5)=-5.671763e+00 para_R(6)=-1.750859e+01 para_R(7)=7.875471e+01 para_to(0)=9.264519e+00 para_to(1)=-9.271003e-02 para_to(2)=-7.142611e+03 para_to(3)=4.348508e+04 para_to(4)=6.566418e-05 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(4)=6.566418e-05 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 para_to(5)=9.169960e-01 para_to(6)=3.069955e+04 para_to(7)=8.769591e+01 para_to(8)=1.840957e-03 para_to(9)=2.375324e+00 *** TRACE end *** Save [Gallmeier_SNS_decoupled_poisoned] Detector: Brillmon_I=5.51992e+12 Brillmon_ERR=4.8617e+09 Brillmon_N=9.99998e+06 "Mean_brill.dat" Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] Detector: Brillmon_I=8.73978e+15 Brillmon_ERR=3.07921e+10 Brillmon_N=283830 "Peak_brill.dat" Finally [Gallmeier_SNS_decoupled_poisoned: 1]. Time: 1 [s] INFO: Placing instr file copy Gallmeier_SNS_decoupled_poisoned.instr in dataset 1 INFO: Placing generated c-code copy Gallmeier_SNS_decoupled_poisoned.c in dataset 1