GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.343E+3 Test Value = 1.528E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.46092E-01 2 PG.tau. 1 2.00000E-01 2.25832E-02 3 PG.Ampl. 1 8.00000E+02 -4.81913E+00 4 PG.Posn. 2 1.37000E+01 -1.87392E-01 5 PG.tau. 2 2.00000E-01 2.25832E-02 6 PG.Ampl. 2 8.00000E+02 -4.81914E+00 7 PG.Posn. 3 2.29000E+01 -1.89749E-01 8 PG.tau. 3 2.00000E-01 2.25832E-02 9 PG.Ampl. 3 8.00000E+02 -4.81916E+00 10 PG.Posn. 4 3.21000E+01 -2.11941E-01 11 PG.tau. 4 2.00000E-01 2.25832E-02 12 PG.Ampl. 4 8.00000E+02 -4.81916E+00 13 PG.Posn. 5 4.13000E+01 -2.14072E-01 14 PG.tau. 5 2.00000E-01 2.25832E-02 15 PG.Ampl. 5 8.00000E+02 -4.81913E+00 16 PG.Posn. 6 5.05000E+01 -2.72999E-01 17 PG.tau. 6 2.00000E-01 2.25832E-02 18 PG.Ampl. 6 8.00000E+02 -4.81915E+00 19 Poly2.a0 1.25400E+02 -7.84839E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.148E+2 Test Value = 2.037E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.35391E+00 -6.86834E-03 2 PG.tau. 1 2.22583E-01 4.99997E-04 3 PG.Ampl. 1 7.95181E+02 1.49253E+01 4 PG.Posn. 2 1.35126E+01 6.33085E-03 5 PG.tau. 2 2.22583E-01 4.99997E-04 6 PG.Ampl. 2 7.95181E+02 1.49253E+01 7 PG.Posn. 3 2.27103E+01 -1.92851E-02 8 PG.tau. 3 2.22583E-01 5.00000E-04 9 PG.Ampl. 3 7.95181E+02 1.49253E+01 10 PG.Posn. 4 3.18881E+01 -2.74954E-02 11 PG.tau. 4 2.22583E-01 5.00000E-04 12 PG.Ampl. 4 7.95181E+02 1.49253E+01 13 PG.Posn. 5 4.10859E+01 -4.24404E-02 14 PG.tau. 5 2.22583E-01 4.99999E-04 15 PG.Ampl. 5 7.95181E+02 1.49253E+01 16 PG.Posn. 6 5.02270E+01 -2.80789E-02 17 PG.tau. 6 2.22583E-01 5.00000E-04 18 PG.Ampl. 6 7.95181E+02 1.49253E+01 19 Poly2.a0 1.17552E+02 -1.11741E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 2.423E+1 Test Value = 8.559E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34704E+00 -2.97678E-04 2 PG.tau. 1 2.23083E-01 9.74892E-05 3 PG.Ampl. 1 8.10106E+02 3.09435E-01 4 PG.Posn. 2 1.35189E+01 -4.27022E-04 5 PG.tau. 2 2.23083E-01 9.74892E-05 6 PG.Ampl. 2 8.10106E+02 3.09435E-01 7 PG.Posn. 3 2.26910E+01 5.30621E-05 8 PG.tau. 3 2.23083E-01 9.74892E-05 9 PG.Ampl. 3 8.10106E+02 3.09434E-01 10 PG.Posn. 4 3.18606E+01 5.35664E-04 11 PG.tau. 4 2.23083E-01 9.74892E-05 12 PG.Ampl. 4 8.10106E+02 3.09434E-01 13 PG.Posn. 5 4.10435E+01 -4.30751E-03 14 PG.tau. 5 2.23083E-01 9.74894E-05 15 PG.Ampl. 5 8.10106E+02 3.09435E-01 16 PG.Posn. 6 5.01989E+01 -6.88108E-04 17 PG.tau. 6 2.23083E-01 9.74893E-05 18 PG.Ampl. 6 8.10106E+02 3.09435E-01 19 Poly2.a0 1.16434E+02 -3.95844E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 2.400E+1 Test Value = 1.390E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34674E+00 -1.09722E-04 2 PG.tau. 1 2.23181E-01 2.56814E-05 3 PG.Ampl. 1 8.10416E+02 -5.60373E-02 4 PG.Posn. 2 1.35185E+01 -8.61717E-05 5 PG.tau. 2 2.23181E-01 2.56811E-05 6 PG.Ampl. 2 8.10416E+02 -5.60372E-02 7 PG.Posn. 3 2.26910E+01 -8.02872E-05 8 PG.tau. 3 2.23181E-01 2.56809E-05 9 PG.Ampl. 3 8.10416E+02 -5.60378E-02 10 PG.Posn. 4 3.18611E+01 -2.48389E-04 11 PG.tau. 4 2.23181E-01 2.56809E-05 12 PG.Ampl. 4 8.10416E+02 -5.60378E-02 13 PG.Posn. 5 4.10392E+01 -3.86533E-04 14 PG.tau. 5 2.23181E-01 2.56812E-05 15 PG.Ampl. 5 8.10416E+02 -5.60384E-02 16 PG.Posn. 6 5.01982E+01 -1.45336E-04 17 PG.tau. 6 2.23181E-01 2.56811E-05 18 PG.Ampl. 6 8.10416E+02 -5.60379E-02 19 Poly2.a0 1.16395E+02 -2.66500E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 2.400E+1 Test Value = 8.883E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34663E+00 -7.02756E-06 2 PG.tau. 1 2.23206E-01 1.61618E-06 3 PG.Ampl. 1 8.10360E+02 -4.08398E-03 4 PG.Posn. 2 1.35184E+01 -5.08177E-06 5 PG.tau. 2 2.23206E-01 1.61608E-06 6 PG.Ampl. 2 8.10360E+02 -4.08382E-03 7 PG.Posn. 3 2.26909E+01 -6.90807E-06 8 PG.tau. 3 2.23206E-01 1.61598E-06 9 PG.Ampl. 3 8.10360E+02 -4.08396E-03 10 PG.Posn. 4 3.18608E+01 -4.27184E-06 11 PG.tau. 4 2.23206E-01 1.61598E-06 12 PG.Ampl. 4 8.10360E+02 -4.08396E-03 13 PG.Posn. 5 4.10388E+01 -2.28040E-05 14 PG.tau. 5 2.23206E-01 1.61605E-06 15 PG.Ampl. 5 8.10360E+02 -4.08382E-03 16 PG.Posn. 6 5.01981E+01 -9.67434E-06 17 PG.tau. 6 2.23206E-01 1.61603E-06 18 PG.Ampl. 6 8.10360E+02 -4.08346E-03 19 Poly2.a0 1.16392E+02 -2.05519E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 5 iterations with 12 constraints, Test Value= 8.883E-3 ChiSq=24.001 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.34663E+00 1.19516E-03 2 PG.tau. 1 2.23208E-01 2.39342E-04 3 PG.Ampl. 1 8.10356E+02 6.99533E-01 4 PG.Posn. 2 1.35184E+01 1.04818E-03 5 PG.tau. 2 2.23208E-01 2.39342E-04 6 PG.Ampl. 2 8.10355E+02 6.99533E-01 7 PG.Posn. 3 2.26909E+01 1.44450E-03 8 PG.tau. 3 2.23208E-01 2.39342E-04 9 PG.Ampl. 3 8.10355E+02 6.99533E-01 10 PG.Posn. 4 3.18608E+01 2.77271E-03 11 PG.tau. 4 2.23208E-01 2.39342E-04 12 PG.Ampl. 4 8.10355E+02 6.99533E-01 13 PG.Posn. 5 4.10388E+01 2.20573E-03 14 PG.tau. 5 2.23208E-01 2.39342E-04 15 PG.Ampl. 5 8.10355E+02 6.99533E-01 16 PG.Posn. 6 5.01981E+01 1.53039E-03 17 PG.tau. 6 2.23208E-01 2.39342E-04 18 PG.Ampl. 6 8.10355E+02 6.99534E-01 19 Poly2.a0 1.16392E+02 1.46929E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -85.24 100.00 3: 59.58 -66.72 100.00 4: 63.34 -74.60 44.12 100.00 5: -85.24 100.00 -66.72 -74.60 100.00 6: 59.58 -66.72 100.00 44.12 -66.72 100.00 7: 41.90 -50.26 15.71 39.26 -50.26 15.71 100.00 8: -85.24 100.00 -66.72 -74.60 100.00 -66.72 -50.26 100.00 9: 59.58 -66.72 100.00 44.12 -66.72 100.00 15.71 -66.72 100.00 10: 52.54 -62.39 33.00 47.26 -62.39 33.00 34.54 -62.39 33.00 100.00 11: -85.24 100.00 -66.72 -74.60 100.00 -66.72 -50.26 100.00 -66.72 -62.39 100.00 12: 59.58 -66.72 100.00 44.12 -66.72 100.00 15.71 -66.72 100.00 33.00 -66.72 100.00 13: 70.64 -82.43 63.21 60.65 -82.43 63.21 38.84 -82.43 63.21 50.27 -82.43 63.21 100.00 14: -85.24 100.00 -66.72 -74.60 100.00 -66.72 -50.26 100.00 -66.72 -62.39 100.00 -66.72 -82.43 100.00 15: 59.58 -66.72 100.00 44.12 -66.72 100.00 15.71 -66.72 100.00 33.00 -66.72 100.00 63.21 -66.72 100.00 16: 74.00 -86.39 64.56 63.77 -86.39 64.56 41.15 -86.39 64.56 52.67 -86.39 64.56 72.22 -86.39 64.56 100.00 17: -85.24 100.00 -66.72 -74.60 100.00 -66.72 -50.26 100.00 -66.72 -62.39 100.00 -66.72 -82.43 100.00 -66.72 -86.39 100.00 18: 59.58 -66.72 100.00 44.12 -66.72 100.00 15.71 -66.72 100.00 33.00 -66.72 100.00 63.21 -66.72 100.00 64.56 -66.72 100.00 19: 25.32 -29.42 -10.14 26.26 -29.42 -10.14 21.07 -29.42 -10.14 13.60 -29.42 -10.14 18.94 -29.42 -10.14 22.91 -29.42 -10.14 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.156E+3 Test Value = 1.575E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.47720E-01 2 PG.tau. 1 2.00000E-01 2.42863E-02 3 PG.Ampl. 1 8.00000E+02 -1.92757E-01 4 PG.Posn. 2 1.37000E+01 -1.94661E-01 5 PG.tau. 2 2.00000E-01 2.42863E-02 6 PG.Ampl. 2 8.00000E+02 -1.92768E-01 7 PG.Posn. 3 2.29000E+01 -1.75667E-01 8 PG.tau. 3 2.00000E-01 2.42863E-02 9 PG.Ampl. 3 8.00000E+02 -1.92786E-01 10 PG.Posn. 4 3.21000E+01 -2.12805E-01 11 PG.tau. 4 2.00000E-01 2.42863E-02 12 PG.Ampl. 4 8.00000E+02 -1.92786E-01 13 PG.Posn. 5 4.13000E+01 -2.19807E-01 14 PG.tau. 5 2.00000E-01 2.42863E-02 15 PG.Ampl. 5 8.00000E+02 -1.92762E-01 16 PG.Posn. 6 5.05000E+01 -2.69159E-01 17 PG.tau. 6 2.00000E-01 2.42863E-02 18 PG.Ampl. 6 8.00000E+02 -1.92777E-01 19 Poly2.a0 1.25400E+02 -1.14792E+01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.157E+2 Test Value = 2.103E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.35228E+00 -1.10714E-02 2 PG.tau. 1 2.24286E-01 1.55547E-03 3 PG.Ampl. 1 7.99807E+02 1.27674E+01 4 PG.Posn. 2 1.35053E+01 3.99364E-03 5 PG.tau. 2 2.24286E-01 1.55546E-03 6 PG.Ampl. 2 7.99807E+02 1.27674E+01 7 PG.Posn. 3 2.27243E+01 -3.56700E-02 8 PG.tau. 3 2.24286E-01 1.55546E-03 9 PG.Ampl. 3 7.99807E+02 1.27674E+01 10 PG.Posn. 4 3.18872E+01 -3.24635E-02 11 PG.tau. 4 2.24286E-01 1.55546E-03 12 PG.Ampl. 4 7.99807E+02 1.27674E+01 13 PG.Posn. 5 4.10802E+01 -4.87555E-02 14 PG.tau. 5 2.24286E-01 1.55546E-03 15 PG.Ampl. 5 7.99807E+02 1.27674E+01 16 PG.Posn. 6 5.02308E+01 -3.12236E-02 17 PG.tau. 6 2.24286E-01 1.55546E-03 18 PG.Ampl. 6 7.99807E+02 1.27674E+01 19 Poly2.a0 1.13921E+02 -1.22595E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 2.647E+1 Test Value = 1.196E+0 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34121E+00 -7.13637E-04 2 PG.tau. 1 2.25842E-01 1.88926E-04 3 PG.Ampl. 1 8.12575E+02 2.99025E-01 4 PG.Posn. 2 1.35093E+01 -7.10405E-04 5 PG.tau. 2 2.25842E-01 1.88926E-04 6 PG.Ampl. 2 8.12575E+02 2.99025E-01 7 PG.Posn. 3 2.26887E+01 -1.79239E-05 8 PG.tau. 3 2.25842E-01 1.88926E-04 9 PG.Ampl. 3 8.12575E+02 2.99025E-01 10 PG.Posn. 4 3.18547E+01 -7.15773E-04 11 PG.tau. 4 2.25842E-01 1.88926E-04 12 PG.Ampl. 4 8.12575E+02 2.99025E-01 13 PG.Posn. 5 4.10314E+01 -5.30818E-03 14 PG.tau. 5 2.25842E-01 1.88926E-04 15 PG.Ampl. 5 8.12575E+02 2.99024E-01 16 PG.Posn. 6 5.01996E+01 -1.34974E-03 17 PG.tau. 6 2.25842E-01 1.88926E-04 18 PG.Ampl. 6 8.12575E+02 2.99024E-01 19 Poly2.a0 1.12695E+02 -8.84577E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 2.617E+1 Test Value = 1.291E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34050E+00 -1.00253E-04 2 PG.tau. 1 2.26031E-01 2.35801E-05 3 PG.Ampl. 1 8.12874E+02 -5.06091E-02 4 PG.Posn. 2 1.35086E+01 -7.87275E-05 5 PG.tau. 2 2.26031E-01 2.35803E-05 6 PG.Ampl. 2 8.12874E+02 -5.06092E-02 7 PG.Posn. 3 2.26886E+01 -8.23941E-05 8 PG.tau. 3 2.26031E-01 2.35801E-05 9 PG.Ampl. 3 8.12874E+02 -5.06095E-02 10 PG.Posn. 4 3.18540E+01 -1.89740E-04 11 PG.tau. 4 2.26031E-01 2.35801E-05 12 PG.Ampl. 4 8.12874E+02 -5.06095E-02 13 PG.Posn. 5 4.10261E+01 -3.81694E-04 14 PG.tau. 5 2.26031E-01 2.35797E-05 15 PG.Ampl. 5 8.12874E+02 -5.06102E-02 16 PG.Posn. 6 5.01983E+01 -1.34879E-04 17 PG.tau. 6 2.26031E-01 2.35799E-05 18 PG.Ampl. 6 8.12874E+02 -5.06093E-02 19 Poly2.a0 1.12606E+02 -2.53668E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 2.616E+1 Test Value = 9.261E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34039E+00 -7.54433E-06 2 PG.tau. 1 2.26054E-01 1.72432E-06 3 PG.Ampl. 1 8.12823E+02 -3.76571E-03 4 PG.Posn. 2 1.35085E+01 -6.39553E-06 5 PG.tau. 2 2.26054E-01 1.72412E-06 6 PG.Ampl. 2 8.12823E+02 -3.76556E-03 7 PG.Posn. 3 2.26886E+01 -9.35212E-06 8 PG.tau. 3 2.26054E-01 1.72409E-06 9 PG.Ampl. 3 8.12823E+02 -3.76609E-03 10 PG.Posn. 4 3.18538E+01 -8.68263E-06 11 PG.tau. 4 2.26054E-01 1.72409E-06 12 PG.Ampl. 4 8.12823E+02 -3.76609E-03 13 PG.Posn. 5 4.10257E+01 -2.45169E-05 14 PG.tau. 5 2.26054E-01 1.72405E-06 15 PG.Ampl. 5 8.12823E+02 -3.76728E-03 16 PG.Posn. 6 5.01981E+01 -7.57307E-06 17 PG.tau. 6 2.26054E-01 1.72430E-06 18 PG.Ampl. 6 8.12823E+02 -3.76647E-03 19 Poly2.a0 1.12604E+02 -2.44304E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 5 iterations with 12 constraints, Test Value= 9.261E-3 ChiSq=26.165 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.34039E+00 1.19227E-03 2 PG.tau. 1 2.26056E-01 2.39516E-04 3 PG.Ampl. 1 8.12819E+02 6.84726E-01 4 PG.Posn. 2 1.35085E+01 1.05143E-03 5 PG.tau. 2 2.26056E-01 2.39516E-04 6 PG.Ampl. 2 8.12819E+02 6.84726E-01 7 PG.Posn. 3 2.26886E+01 1.47764E-03 8 PG.tau. 3 2.26056E-01 2.39516E-04 9 PG.Ampl. 3 8.12819E+02 6.84726E-01 10 PG.Posn. 4 3.18538E+01 2.76935E-03 11 PG.tau. 4 2.26056E-01 2.39516E-04 12 PG.Ampl. 4 8.12819E+02 6.84726E-01 13 PG.Posn. 5 4.10257E+01 2.19940E-03 14 PG.tau. 5 2.26056E-01 2.39517E-04 15 PG.Ampl. 5 8.12819E+02 6.84726E-01 16 PG.Posn. 6 5.01981E+01 1.49889E-03 17 PG.tau. 6 2.26056E-01 2.39517E-04 18 PG.Ampl. 6 8.12819E+02 6.84726E-01 19 Poly2.a0 1.12604E+02 1.47277E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -84.93 100.00 3: 58.59 -66.05 100.00 4: 63.09 -74.54 43.72 100.00 5: -84.93 100.00 -66.05 -74.54 100.00 6: 58.59 -66.05 100.00 43.72 -66.05 100.00 7: 41.77 -50.18 15.64 39.06 -50.18 15.64 100.00 8: -84.93 100.00 -66.05 -74.54 100.00 -66.05 -50.18 100.00 9: 58.59 -66.05 100.00 43.72 -66.05 100.00 15.64 -66.05 100.00 10: 54.10 -64.32 35.10 48.52 -64.32 35.10 34.96 -64.32 35.10 100.00 11: -84.93 100.00 -66.05 -74.54 100.00 -66.05 -50.18 100.00 -66.05 -64.32 100.00 12: 58.59 -66.05 100.00 43.72 -66.05 100.00 15.64 -66.05 100.00 35.10 -66.05 100.00 13: 70.18 -82.25 62.25 60.52 -82.25 62.25 38.86 -82.25 62.25 51.99 -82.25 62.25 100.00 14: -84.93 100.00 -66.05 -74.54 100.00 -66.05 -50.18 100.00 -66.05 -64.32 100.00 -66.05 -82.25 100.00 15: 58.59 -66.05 100.00 43.72 -66.05 100.00 15.64 -66.05 100.00 35.10 -66.05 100.00 62.25 -66.05 100.00 16: 73.59 -86.28 63.51 63.69 -86.28 63.51 41.22 -86.28 63.51 54.50 -86.28 63.51 71.86 -86.28 63.51 100.00 17: -84.93 100.00 -66.05 -74.54 100.00 -66.05 -50.18 100.00 -66.05 -64.32 100.00 -66.05 -82.25 100.00 -66.05 -86.28 100.00 18: 58.59 -66.05 100.00 43.72 -66.05 100.00 15.64 -66.05 100.00 35.10 -66.05 100.00 62.25 -66.05 100.00 63.51 -66.05 100.00 19: 25.70 -29.87 -10.48 26.51 -29.87 -10.48 21.05 -29.87 -10.48 14.43 -29.87 -10.48 19.29 -29.87 -10.48 23.47 -29.87 -10.48 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.397E+3 Test Value = 1.556E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.48113E-01 2 PG.tau. 1 2.00000E-01 2.27056E-02 3 PG.Ampl. 1 8.00000E+02 -1.80147E+00 4 PG.Posn. 2 1.37000E+01 -1.90958E-01 5 PG.tau. 2 2.00000E-01 2.27056E-02 6 PG.Ampl. 2 8.00000E+02 -1.80148E+00 7 PG.Posn. 3 2.29000E+01 -1.73710E-01 8 PG.tau. 3 2.00000E-01 2.27056E-02 9 PG.Ampl. 3 8.00000E+02 -1.80151E+00 10 PG.Posn. 4 3.21000E+01 -2.03082E-01 11 PG.tau. 4 2.00000E-01 2.27056E-02 12 PG.Ampl. 4 8.00000E+02 -1.80151E+00 13 PG.Posn. 5 4.13000E+01 -2.15340E-01 14 PG.tau. 5 2.00000E-01 2.27056E-02 15 PG.Ampl. 5 8.00000E+02 -1.80148E+00 16 PG.Posn. 6 5.05000E+01 -2.74039E-01 17 PG.tau. 6 2.00000E-01 2.27056E-02 18 PG.Ampl. 6 8.00000E+02 -1.80150E+00 19 Poly2.a0 1.25400E+02 -1.41574E+01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.271E+2 Test Value = 1.982E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.35189E+00 -1.08136E-02 2 PG.tau. 1 2.22706E-01 1.43502E-03 3 PG.Ampl. 1 7.98199E+02 1.18800E+01 4 PG.Posn. 2 1.35090E+01 5.21350E-03 5 PG.tau. 2 2.22706E-01 1.43501E-03 6 PG.Ampl. 2 7.98199E+02 1.18800E+01 7 PG.Posn. 3 2.27263E+01 -2.97466E-02 8 PG.tau. 3 2.22706E-01 1.43501E-03 9 PG.Ampl. 3 7.98198E+02 1.18800E+01 10 PG.Posn. 4 3.18969E+01 -3.45945E-02 11 PG.tau. 4 2.22706E-01 1.43501E-03 12 PG.Ampl. 4 7.98198E+02 1.18800E+01 13 PG.Posn. 5 4.10847E+01 -5.00127E-02 14 PG.tau. 5 2.22706E-01 1.43502E-03 15 PG.Ampl. 5 7.98199E+02 1.18800E+01 16 PG.Posn. 6 5.02260E+01 -3.27185E-02 17 PG.tau. 6 2.22706E-01 1.43501E-03 18 PG.Ampl. 6 7.98199E+02 1.18800E+01 19 Poly2.a0 1.11243E+02 -1.09453E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 3.511E+1 Test Value = 1.453E+0 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34107E+00 -9.14524E-04 2 PG.tau. 1 2.24141E-01 2.38715E-04 3 PG.Ampl. 1 8.10078E+02 2.86271E-01 4 PG.Posn. 2 1.35143E+01 -8.93397E-04 5 PG.tau. 2 2.24141E-01 2.38715E-04 6 PG.Ampl. 2 8.10078E+02 2.86271E-01 7 PG.Posn. 3 2.26965E+01 -4.67884E-04 8 PG.tau. 3 2.24141E-01 2.38715E-04 9 PG.Ampl. 3 8.10078E+02 2.86271E-01 10 PG.Posn. 4 3.18623E+01 -2.22301E-03 11 PG.tau. 4 2.24141E-01 2.38715E-04 12 PG.Ampl. 4 8.10078E+02 2.86271E-01 13 PG.Posn. 5 4.10346E+01 -6.47233E-03 14 PG.tau. 5 2.24141E-01 2.38715E-04 15 PG.Ampl. 5 8.10078E+02 2.86272E-01 16 PG.Posn. 6 5.01932E+01 -1.66357E-03 17 PG.tau. 6 2.24141E-01 2.38715E-04 18 PG.Ampl. 6 8.10078E+02 2.86272E-01 19 Poly2.a0 1.10148E+02 -7.72344E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 3.471E+1 Test Value = 2.060E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34016E+00 -1.63087E-04 2 PG.tau. 1 2.24379E-01 3.82007E-05 3 PG.Ampl. 1 8.10365E+02 -7.91980E-02 4 PG.Posn. 2 1.35134E+01 -1.29089E-04 5 PG.tau. 2 2.24379E-01 3.82008E-05 6 PG.Ampl. 2 8.10365E+02 -7.91979E-02 7 PG.Posn. 3 2.26961E+01 -1.50708E-04 8 PG.tau. 3 2.24379E-01 3.82008E-05 9 PG.Ampl. 3 8.10365E+02 -7.91977E-02 10 PG.Posn. 4 3.18601E+01 -2.89360E-04 11 PG.tau. 4 2.24379E-01 3.82008E-05 12 PG.Ampl. 4 8.10365E+02 -7.91977E-02 13 PG.Posn. 5 4.10282E+01 -6.14225E-04 14 PG.tau. 5 2.24379E-01 3.82008E-05 15 PG.Ampl. 5 8.10365E+02 -7.91975E-02 16 PG.Posn. 6 5.01916E+01 -2.16536E-04 17 PG.tau. 6 2.24379E-01 3.82008E-05 18 PG.Ampl. 6 8.10365E+02 -7.91975E-02 19 Poly2.a0 1.10071E+02 -4.41008E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 3.470E+1 Test Value = 1.893E-2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34000E+00 -1.51776E-05 2 PG.tau. 1 2.24418E-01 3.54270E-06 3 PG.Ampl. 1 8.10286E+02 -7.46835E-03 4 PG.Posn. 2 1.35132E+01 -1.15503E-05 5 PG.tau. 2 2.24418E-01 3.54277E-06 6 PG.Ampl. 2 8.10286E+02 -7.46826E-03 7 PG.Posn. 3 2.26959E+01 -1.76936E-05 8 PG.tau. 3 2.24418E-01 3.54284E-06 9 PG.Ampl. 3 8.10286E+02 -7.46804E-03 10 PG.Posn. 4 3.18598E+01 -2.93303E-05 11 PG.tau. 4 2.24418E-01 3.54284E-06 12 PG.Ampl. 4 8.10286E+02 -7.46804E-03 13 PG.Posn. 5 4.10276E+01 -5.07413E-05 14 PG.tau. 5 2.24418E-01 3.54302E-06 15 PG.Ampl. 5 8.10286E+02 -7.46764E-03 16 PG.Posn. 6 5.01914E+01 -1.92105E-05 17 PG.tau. 6 2.24418E-01 3.54306E-06 18 PG.Ampl. 6 8.10286E+02 -7.46760E-03 19 Poly2.a0 1.10066E+02 -4.45772E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 6 ChiSq = 3.470E+1 Test Value = 1.637E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33998E+00 -1.34464E-06 2 PG.tau. 1 2.24421E-01 3.44184E-07 3 PG.Ampl. 1 8.10278E+02 -6.91835E-04 4 PG.Posn. 2 1.35132E+01 -1.24826E-06 5 PG.tau. 2 2.24421E-01 3.43945E-07 6 PG.Ampl. 2 8.10278E+02 -6.91819E-04 7 PG.Posn. 3 2.26959E+01 -4.55416E-07 8 PG.tau. 3 2.24421E-01 3.43840E-07 9 PG.Ampl. 3 8.10278E+02 -6.92126E-04 10 PG.Posn. 4 3.18598E+01 -1.55320E-06 11 PG.tau. 4 2.24421E-01 3.43840E-07 12 PG.Ampl. 4 8.10278E+02 -6.92126E-04 13 PG.Posn. 5 4.10275E+01 -1.87949E-06 14 PG.tau. 5 2.24421E-01 3.44024E-07 15 PG.Ampl. 5 8.10278E+02 -6.91583E-04 16 PG.Posn. 6 5.01913E+01 -2.08348E-06 17 PG.tau. 6 2.24421E-01 3.44000E-07 18 PG.Ampl. 6 8.10278E+02 -6.91527E-04 19 Poly2.a0 1.10066E+02 -4.92339E-05 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 6 iterations with 12 constraints, Test Value= 1.637E-3 ChiSq=34.703 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.33998E+00 1.20221E-03 2 PG.tau. 1 2.24421E-01 2.40000E-04 3 PG.Ampl. 1 8.10277E+02 6.87706E-01 4 PG.Posn. 2 1.35132E+01 1.05222E-03 5 PG.tau. 2 2.24421E-01 2.40001E-04 6 PG.Ampl. 2 8.10277E+02 6.87706E-01 7 PG.Posn. 3 2.26959E+01 1.49864E-03 8 PG.tau. 3 2.24421E-01 2.40001E-04 9 PG.Ampl. 3 8.10277E+02 6.87706E-01 10 PG.Posn. 4 3.18598E+01 2.78914E-03 11 PG.tau. 4 2.24421E-01 2.40001E-04 12 PG.Ampl. 4 8.10277E+02 6.87706E-01 13 PG.Posn. 5 4.10275E+01 2.23709E-03 14 PG.tau. 5 2.24421E-01 2.40001E-04 15 PG.Ampl. 5 8.10277E+02 6.87706E-01 16 PG.Posn. 6 5.01913E+01 1.53813E-03 17 PG.tau. 6 2.24421E-01 2.40001E-04 18 PG.Ampl. 6 8.10277E+02 6.87706E-01 19 Poly2.a0 1.10066E+02 1.47012E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -85.21 100.00 3: 58.98 -65.97 100.00 4: 63.46 -74.76 43.77 100.00 5: -85.21 100.00 -65.97 -74.76 100.00 6: 58.98 -65.97 100.00 43.77 -65.97 100.00 7: 41.55 -49.89 14.89 39.00 -49.89 14.89 100.00 8: -85.21 100.00 -65.97 -74.76 100.00 -65.97 -49.89 100.00 9: 58.98 -65.97 100.00 43.77 -65.97 100.00 14.89 -65.97 100.00 10: 53.81 -63.83 34.35 48.32 -63.83 34.35 34.75 -63.83 34.35 100.00 11: -85.21 100.00 -65.97 -74.76 100.00 -65.97 -49.89 100.00 -65.97 -63.83 100.00 12: 58.98 -65.97 100.00 43.77 -65.97 100.00 14.89 -65.97 100.00 34.35 -65.97 100.00 13: 70.31 -82.08 62.16 60.55 -82.08 62.16 38.44 -82.08 62.16 51.42 -82.08 62.16 100.00 14: -85.21 100.00 -65.97 -74.76 100.00 -65.97 -49.89 100.00 -65.97 -63.83 100.00 -65.97 -82.08 100.00 15: 58.98 -65.97 100.00 43.77 -65.97 100.00 14.89 -65.97 100.00 34.35 -65.97 100.00 62.16 -65.97 100.00 16: 73.89 -86.28 63.83 63.84 -86.28 63.83 40.78 -86.28 63.83 53.98 -86.28 63.83 71.78 -86.28 63.83 100.00 17: -85.21 100.00 -65.97 -74.76 100.00 -65.97 -49.89 100.00 -65.97 -63.83 100.00 -65.97 -82.08 100.00 -65.97 -86.28 100.00 18: 58.98 -65.97 100.00 43.77 -65.97 100.00 14.89 -65.97 100.00 34.35 -65.97 100.00 62.16 -65.97 100.00 63.83 -65.97 100.00 19: 25.35 -29.51 -10.63 26.30 -29.51 -10.63 20.73 -29.51 -10.63 13.93 -29.51 -10.63 18.83 -29.51 -10.63 22.94 -29.51 -10.63 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.307E+3 Test Value = 1.551E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.46907E-01 2 PG.tau. 1 2.00000E-01 2.36361E-02 3 PG.Ampl. 1 8.00000E+02 7.60225E+00 4 PG.Posn. 2 1.37000E+01 -1.89872E-01 5 PG.tau. 2 2.00000E-01 2.36361E-02 6 PG.Ampl. 2 8.00000E+02 7.60224E+00 7 PG.Posn. 3 2.29000E+01 -1.86319E-01 8 PG.tau. 3 2.00000E-01 2.36361E-02 9 PG.Ampl. 3 8.00000E+02 7.60222E+00 10 PG.Posn. 4 3.21000E+01 -2.15408E-01 11 PG.tau. 4 2.00000E-01 2.36361E-02 12 PG.Ampl. 4 8.00000E+02 7.60222E+00 13 PG.Posn. 5 4.13000E+01 -2.15278E-01 14 PG.tau. 5 2.00000E-01 2.36361E-02 15 PG.Ampl. 5 8.00000E+02 7.60224E+00 16 PG.Posn. 6 5.05000E+01 -2.71473E-01 17 PG.tau. 6 2.00000E-01 2.36361E-02 18 PG.Ampl. 6 8.00000E+02 7.60224E+00 19 Poly2.a0 1.25400E+02 -8.24316E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.023E+2 Test Value = 1.949E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.35309E+00 -6.28608E-03 2 PG.tau. 1 2.23636E-01 5.54164E-04 3 PG.Ampl. 1 8.07602E+02 1.39790E+01 4 PG.Posn. 2 1.35101E+01 7.50389E-03 5 PG.tau. 2 2.23636E-01 5.54165E-04 6 PG.Ampl. 2 8.07602E+02 1.39790E+01 7 PG.Posn. 3 2.27137E+01 -2.17277E-02 8 PG.tau. 3 2.23636E-01 5.54164E-04 9 PG.Ampl. 3 8.07602E+02 1.39790E+01 10 PG.Posn. 4 3.18846E+01 -2.51636E-02 11 PG.tau. 4 2.23636E-01 5.54164E-04 12 PG.Ampl. 4 8.07602E+02 1.39790E+01 13 PG.Posn. 5 4.10847E+01 -3.98214E-02 14 PG.tau. 5 2.23636E-01 5.54165E-04 15 PG.Ampl. 5 8.07602E+02 1.39790E+01 16 PG.Posn. 6 5.02285E+01 -2.46382E-02 17 PG.tau. 6 2.23636E-01 5.54165E-04 18 PG.Ampl. 6 8.07602E+02 1.39790E+01 19 Poly2.a0 1.17157E+02 -1.15890E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 2.316E+1 Test Value = 1.044E+0 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34681E+00 -6.81231E-04 2 PG.tau. 1 2.24190E-01 1.81822E-04 3 PG.Ampl. 1 8.21581E+02 3.54875E-02 4 PG.Posn. 2 1.35176E+01 -6.56198E-04 5 PG.tau. 2 2.24190E-01 1.81822E-04 6 PG.Ampl. 2 8.21581E+02 3.54875E-02 7 PG.Posn. 3 2.26920E+01 -8.94142E-05 8 PG.tau. 3 2.24190E-01 1.81822E-04 9 PG.Ampl. 3 8.21581E+02 3.54876E-02 10 PG.Posn. 4 3.18594E+01 -1.73938E-04 11 PG.tau. 4 2.24190E-01 1.81822E-04 12 PG.Ampl. 4 8.21581E+02 3.54876E-02 13 PG.Posn. 5 4.10449E+01 -4.64663E-03 14 PG.tau. 5 2.24190E-01 1.81822E-04 15 PG.Ampl. 5 8.21581E+02 3.54881E-02 16 PG.Posn. 6 5.02039E+01 -1.08767E-03 17 PG.tau. 6 2.24190E-01 1.81822E-04 18 PG.Ampl. 6 8.21581E+02 3.54881E-02 19 Poly2.a0 1.15998E+02 -5.52178E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 2.295E+1 Test Value = 1.558E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34613E+00 -1.20765E-04 2 PG.tau. 1 2.24372E-01 2.83022E-05 3 PG.Ampl. 1 8.21617E+02 -6.29182E-02 4 PG.Posn. 2 1.35170E+01 -9.37014E-05 5 PG.tau. 2 2.24372E-01 2.83023E-05 6 PG.Ampl. 2 8.21617E+02 -6.29179E-02 7 PG.Posn. 3 2.26919E+01 -9.58184E-05 8 PG.tau. 3 2.24372E-01 2.83023E-05 9 PG.Ampl. 3 8.21617E+02 -6.29185E-02 10 PG.Posn. 4 3.18593E+01 -2.62031E-04 11 PG.tau. 4 2.24372E-01 2.83023E-05 12 PG.Ampl. 4 8.21617E+02 -6.29185E-02 13 PG.Posn. 5 4.10403E+01 -4.23828E-04 14 PG.tau. 5 2.24372E-01 2.83023E-05 15 PG.Ampl. 5 8.21617E+02 -6.29178E-02 16 PG.Posn. 6 5.02028E+01 -1.58417E-04 17 PG.tau. 6 2.24372E-01 2.83023E-05 18 PG.Ampl. 6 8.21617E+02 -6.29179E-02 19 Poly2.a0 1.15943E+02 -3.07277E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 2.295E+1 Test Value = 1.244E-2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34600E+00 -9.18036E-06 2 PG.tau. 1 2.24400E-01 2.22102E-06 3 PG.Ampl. 1 8.21554E+02 -5.44152E-03 4 PG.Posn. 2 1.35169E+01 -6.76218E-06 5 PG.tau. 2 2.24400E-01 2.22132E-06 6 PG.Ampl. 2 8.21554E+02 -5.44131E-03 7 PG.Posn. 3 2.26918E+01 -1.00042E-05 8 PG.tau. 3 2.24400E-01 2.22121E-06 9 PG.Ampl. 3 8.21554E+02 -5.44117E-03 10 PG.Posn. 4 3.18590E+01 -7.76859E-06 11 PG.tau. 4 2.24400E-01 2.22121E-06 12 PG.Ampl. 4 8.21554E+02 -5.44117E-03 13 PG.Posn. 5 4.10398E+01 -3.26778E-05 14 PG.tau. 5 2.24400E-01 2.22118E-06 15 PG.Ampl. 5 8.21554E+02 -5.44154E-03 16 PG.Posn. 6 5.02026E+01 -1.47394E-05 17 PG.tau. 6 2.24400E-01 2.22128E-06 18 PG.Ampl. 6 8.21554E+02 -5.44162E-03 19 Poly2.a0 1.15940E+02 -2.98768E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 6 ChiSq = 2.295E+1 Test Value = 1.062E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34600E+00 -1.02887E-06 2 PG.tau. 1 2.24403E-01 2.14517E-07 3 PG.Ampl. 1 8.21548E+02 -4.62548E-04 4 PG.Posn. 2 1.35169E+01 -7.98034E-07 5 PG.tau. 2 2.24403E-01 2.14366E-07 6 PG.Ampl. 2 8.21548E+02 -4.62683E-04 7 PG.Posn. 3 2.26918E+01 5.20582E-07 8 PG.tau. 3 2.24403E-01 2.14120E-07 9 PG.Ampl. 3 8.21548E+02 -4.62730E-04 10 PG.Posn. 4 3.18590E+01 -1.97058E-06 11 PG.tau. 4 2.24403E-01 2.14120E-07 12 PG.Ampl. 4 8.21548E+02 -4.62730E-04 13 PG.Posn. 5 4.10398E+01 -1.18118E-06 14 PG.tau. 5 2.24403E-01 2.14165E-07 15 PG.Ampl. 5 8.21548E+02 -4.62540E-04 16 PG.Posn. 6 5.02026E+01 -6.81977E-07 17 PG.tau. 6 2.24403E-01 2.14364E-07 18 PG.Ampl. 6 8.21548E+02 -4.62568E-04 19 Poly2.a0 1.15939E+02 -2.84708E-05 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 6 iterations with 12 constraints, Test Value= 1.062E-3 ChiSq=22.946 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.34599E+00 1.17557E-03 2 PG.tau. 1 2.24403E-01 2.36265E-04 3 PG.Ampl. 1 8.21548E+02 6.95116E-01 4 PG.Posn. 2 1.35169E+01 1.03616E-03 5 PG.tau. 2 2.24403E-01 2.36265E-04 6 PG.Ampl. 2 8.21548E+02 6.95116E-01 7 PG.Posn. 3 2.26918E+01 1.44946E-03 8 PG.tau. 3 2.24403E-01 2.36265E-04 9 PG.Ampl. 3 8.21548E+02 6.95116E-01 10 PG.Posn. 4 3.18590E+01 2.74011E-03 11 PG.tau. 4 2.24403E-01 2.36265E-04 12 PG.Ampl. 4 8.21548E+02 6.95116E-01 13 PG.Posn. 5 4.10398E+01 2.14020E-03 14 PG.tau. 5 2.24403E-01 2.36265E-04 15 PG.Ampl. 5 8.21548E+02 6.95116E-01 16 PG.Posn. 6 5.02026E+01 1.48486E-03 17 PG.tau. 6 2.24403E-01 2.36265E-04 18 PG.Ampl. 6 8.21548E+02 6.95117E-01 19 Poly2.a0 1.15939E+02 1.47095E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -85.04 100.00 3: 59.15 -66.56 100.00 4: 62.91 -74.25 43.67 100.00 5: -85.04 100.00 -66.56 -74.25 100.00 6: 59.15 -66.56 100.00 43.67 -66.56 100.00 7: 41.52 -49.87 15.39 38.82 -49.87 15.39 100.00 8: -85.04 100.00 -66.56 -74.25 100.00 -66.56 -49.87 100.00 9: 59.15 -66.56 100.00 43.67 -66.56 100.00 15.39 -66.56 100.00 10: 53.33 -63.38 34.28 47.73 -63.38 34.28 34.55 -63.38 34.28 100.00 11: -85.04 100.00 -66.56 -74.25 100.00 -66.56 -49.87 100.00 -66.56 -63.38 100.00 12: 59.15 -66.56 100.00 43.67 -66.56 100.00 15.39 -66.56 100.00 34.28 -66.56 100.00 13: 70.62 -82.63 63.18 60.50 -82.63 63.18 38.63 -82.63 63.18 51.31 -82.63 63.18 100.00 14: -85.04 100.00 -66.56 -74.25 100.00 -66.56 -49.87 100.00 -66.56 -63.38 100.00 -66.56 -82.63 100.00 15: 59.15 -66.56 100.00 43.67 -66.56 100.00 15.39 -66.56 100.00 34.28 -66.56 100.00 63.18 -66.56 100.00 16: 73.78 -86.37 64.15 63.47 -86.37 64.15 40.89 -86.37 64.15 53.65 -86.37 64.15 72.33 -86.37 64.15 100.00 17: -85.04 100.00 -66.56 -74.25 100.00 -66.56 -49.87 100.00 -66.56 -63.38 100.00 -66.56 -82.63 100.00 -66.56 -86.37 100.00 18: 59.15 -66.56 100.00 43.67 -66.56 100.00 15.39 -66.56 100.00 34.28 -66.56 100.00 63.18 -66.56 100.00 64.15 -66.56 100.00 19: 25.54 -29.66 -10.17 26.37 -29.66 -10.17 20.96 -29.66 -10.17 13.96 -29.66 -10.17 19.31 -29.66 -10.17 23.27 -29.66 -10.17 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.102E+3 Test Value = 1.631E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.43893E-01 2 PG.tau. 1 2.00000E-01 2.38053E-02 3 PG.Ampl. 1 8.00000E+02 -2.83275E+01 4 PG.Posn. 2 1.37000E+01 -1.86928E-01 5 PG.tau. 2 2.00000E-01 2.38054E-02 6 PG.Ampl. 2 8.00000E+02 -2.83275E+01 7 PG.Posn. 3 2.29000E+01 -1.75391E-01 8 PG.tau. 3 2.00000E-01 2.38054E-02 9 PG.Ampl. 3 8.00000E+02 -2.83275E+01 10 PG.Posn. 4 3.21000E+01 -2.15243E-01 11 PG.tau. 4 2.00000E-01 2.38054E-02 12 PG.Ampl. 4 8.00000E+02 -2.83275E+01 13 PG.Posn. 5 4.13000E+01 -2.17467E-01 14 PG.tau. 5 2.00000E-01 2.38054E-02 15 PG.Ampl. 5 8.00000E+02 -2.83275E+01 16 PG.Posn. 6 5.05000E+01 -2.65982E-01 17 PG.tau. 6 2.00000E-01 2.38054E-02 18 PG.Ampl. 6 8.00000E+02 -2.83275E+01 19 Poly2.a0 1.25400E+02 -2.25355E+01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.326E+2 Test Value = 2.376E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.35611E+00 -1.37172E-02 2 PG.tau. 1 2.23805E-01 1.80972E-03 3 PG.Ampl. 1 7.71673E+02 1.47179E+01 4 PG.Posn. 2 1.35131E+01 -1.21609E-03 5 PG.tau. 2 2.23805E-01 1.80972E-03 6 PG.Ampl. 2 7.71673E+02 1.47179E+01 7 PG.Posn. 3 2.27246E+01 -3.86629E-02 8 PG.tau. 3 2.23805E-01 1.80972E-03 9 PG.Ampl. 3 7.71672E+02 1.47179E+01 10 PG.Posn. 4 3.18848E+01 -3.46335E-02 11 PG.tau. 4 2.23805E-01 1.80972E-03 12 PG.Ampl. 4 7.71672E+02 1.47179E+01 13 PG.Posn. 5 4.10825E+01 -5.41934E-02 14 PG.tau. 5 2.23805E-01 1.80972E-03 15 PG.Ampl. 5 7.71673E+02 1.47179E+01 16 PG.Posn. 6 5.02340E+01 -3.88369E-02 17 PG.tau. 6 2.23805E-01 1.80972E-03 18 PG.Ampl. 6 7.71672E+02 1.47179E+01 19 Poly2.a0 1.02865E+02 -1.14995E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 2.163E+1 Test Value = 1.176E+0 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34239E+00 -4.58686E-04 2 PG.tau. 1 2.25615E-01 1.35636E-04 3 PG.Ampl. 1 7.86390E+02 4.54159E-01 4 PG.Posn. 2 1.35119E+01 -5.87803E-04 5 PG.tau. 2 2.25615E-01 1.35637E-04 6 PG.Ampl. 2 7.86390E+02 4.54159E-01 7 PG.Posn. 3 2.26859E+01 5.21952E-04 8 PG.tau. 3 2.25615E-01 1.35636E-04 9 PG.Ampl. 3 7.86390E+02 4.54160E-01 10 PG.Posn. 4 3.18501E+01 9.64500E-04 11 PG.tau. 4 2.25615E-01 1.35636E-04 12 PG.Ampl. 4 7.86390E+02 4.54160E-01 13 PG.Posn. 5 4.10283E+01 -5.69899E-03 14 PG.tau. 5 2.25615E-01 1.35636E-04 15 PG.Ampl. 5 7.86390E+02 4.54159E-01 16 PG.Posn. 6 5.01952E+01 -1.29304E-03 17 PG.tau. 6 2.25615E-01 1.35636E-04 18 PG.Ampl. 6 7.86390E+02 4.54159E-01 19 Poly2.a0 1.01715E+02 -8.49284E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 2.123E+1 Test Value = 1.606E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34193E+00 -1.28708E-04 2 PG.tau. 1 2.25751E-01 3.04968E-05 3 PG.Ampl. 1 7.86845E+02 -5.91337E-02 4 PG.Posn. 2 1.35113E+01 -1.01050E-04 5 PG.tau. 2 2.25751E-01 3.04970E-05 6 PG.Ampl. 2 7.86845E+02 -5.91336E-02 7 PG.Posn. 3 2.26865E+01 -8.06076E-05 8 PG.tau. 3 2.25751E-01 3.04972E-05 9 PG.Ampl. 3 7.86845E+02 -5.91336E-02 10 PG.Posn. 4 3.18511E+01 -3.72979E-04 11 PG.tau. 4 2.25751E-01 3.04972E-05 12 PG.Ampl. 4 7.86845E+02 -5.91336E-02 13 PG.Posn. 5 4.10226E+01 -4.75045E-04 14 PG.tau. 5 2.25751E-01 3.04969E-05 15 PG.Ampl. 5 7.86845E+02 -5.91343E-02 16 PG.Posn. 6 5.01939E+01 -1.76063E-04 17 PG.tau. 6 2.25751E-01 3.04971E-05 18 PG.Ampl. 6 7.86845E+02 -5.91338E-02 19 Poly2.a0 1.01630E+02 -2.76888E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 2.123E+1 Test Value = 9.418E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34180E+00 -7.40791E-06 2 PG.tau. 1 2.25781E-01 1.73675E-06 3 PG.Ampl. 1 7.86785E+02 -4.49353E-03 4 PG.Posn. 2 1.35112E+01 -5.73573E-06 5 PG.tau. 2 2.25781E-01 1.73688E-06 6 PG.Ampl. 2 7.86785E+02 -4.49337E-03 7 PG.Posn. 3 2.26864E+01 -6.05119E-06 8 PG.tau. 3 2.25781E-01 1.73692E-06 9 PG.Ampl. 3 7.86785E+02 -4.49317E-03 10 PG.Posn. 4 3.18507E+01 6.48172E-06 11 PG.tau. 4 2.25781E-01 1.73692E-06 12 PG.Ampl. 4 7.86785E+02 -4.49317E-03 13 PG.Posn. 5 4.10222E+01 -2.63389E-05 14 PG.tau. 5 2.25781E-01 1.73692E-06 15 PG.Ampl. 5 7.86785E+02 -4.49294E-03 16 PG.Posn. 6 5.01937E+01 -7.16495E-06 17 PG.tau. 6 2.25781E-01 1.73691E-06 18 PG.Ampl. 6 7.86785E+02 -4.49295E-03 19 Poly2.a0 1.01627E+02 -2.64232E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 5 iterations with 12 constraints, Test Value= 9.418E-3 ChiSq=21.227 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.34179E+00 1.22776E-03 2 PG.tau. 1 2.25783E-01 2.46684E-04 3 PG.Ampl. 1 7.86781E+02 6.83752E-01 4 PG.Posn. 2 1.35112E+01 1.08443E-03 5 PG.tau. 2 2.25783E-01 2.46684E-04 6 PG.Ampl. 2 7.86781E+02 6.83752E-01 7 PG.Posn. 3 2.26864E+01 1.50825E-03 8 PG.tau. 3 2.25783E-01 2.46685E-04 9 PG.Ampl. 3 7.86781E+02 6.83752E-01 10 PG.Posn. 4 3.18507E+01 2.84273E-03 11 PG.tau. 4 2.25783E-01 2.46685E-04 12 PG.Ampl. 4 7.86781E+02 6.83752E-01 13 PG.Posn. 5 4.10221E+01 2.29453E-03 14 PG.tau. 5 2.25783E-01 2.46685E-04 15 PG.Ampl. 5 7.86781E+02 6.83752E-01 16 PG.Posn. 6 5.01937E+01 1.56040E-03 17 PG.tau. 6 2.25783E-01 2.46685E-04 18 PG.Ampl. 6 7.86781E+02 6.83752E-01 19 Poly2.a0 1.01627E+02 1.47267E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -84.86 100.00 3: 58.34 -65.80 100.00 4: 62.83 -74.30 43.23 100.00 5: -84.86 100.00 -65.80 -74.30 100.00 6: 58.34 -65.80 100.00 43.23 -65.80 100.00 7: 41.94 -50.41 15.68 39.15 -50.41 15.68 100.00 8: -84.86 100.00 -65.80 -74.30 100.00 -65.80 -50.41 100.00 9: 58.34 -65.80 100.00 43.23 -65.80 100.00 15.68 -65.80 100.00 10: 53.17 -63.31 33.48 47.70 -63.31 33.48 34.83 -63.31 33.48 100.00 11: -84.86 100.00 -65.80 -74.30 100.00 -65.80 -50.41 100.00 -65.80 -63.31 100.00 12: 58.34 -65.80 100.00 43.23 -65.80 100.00 15.68 -65.80 100.00 33.48 -65.80 100.00 13: 69.88 -81.96 61.85 60.08 -81.96 61.85 38.92 -81.96 61.85 50.88 -81.96 61.85 100.00 14: -84.86 100.00 -65.80 -74.30 100.00 -65.80 -50.41 100.00 -65.80 -63.31 100.00 -65.80 -81.96 100.00 15: 58.34 -65.80 100.00 43.23 -65.80 100.00 15.68 -65.80 100.00 33.48 -65.80 100.00 61.85 -65.80 100.00 16: 73.47 -86.19 63.41 63.39 -86.19 63.41 41.33 -86.19 63.41 53.46 -86.19 63.41 71.56 -86.19 63.41 100.00 17: -84.86 100.00 -65.80 -74.30 100.00 -65.80 -50.41 100.00 -65.80 -63.31 100.00 -65.80 -81.96 100.00 -65.80 -86.19 100.00 18: 58.34 -65.80 100.00 43.23 -65.80 100.00 15.68 -65.80 100.00 33.48 -65.80 100.00 61.85 -65.80 100.00 63.41 -65.80 100.00 19: 25.74 -29.94 -10.54 26.53 -29.94 -10.54 21.21 -29.94 -10.54 14.39 -29.94 -10.54 19.16 -29.94 -10.54 23.40 -29.94 -10.54 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.398E+3 Test Value = 1.603E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.50754E-01 2 PG.tau. 1 2.00000E-01 2.36193E-02 3 PG.Ampl. 1 8.00000E+02 -4.32281E+00 4 PG.Posn. 2 1.37000E+01 -1.99843E-01 5 PG.tau. 2 2.00000E-01 2.36194E-02 6 PG.Ampl. 2 8.00000E+02 -4.32283E+00 7 PG.Posn. 3 2.29000E+01 -1.74632E-01 8 PG.tau. 3 2.00000E-01 2.36194E-02 9 PG.Ampl. 3 8.00000E+02 -4.32285E+00 10 PG.Posn. 4 3.21000E+01 -2.07816E-01 11 PG.tau. 4 2.00000E-01 2.36194E-02 12 PG.Ampl. 4 8.00000E+02 -4.32285E+00 13 PG.Posn. 5 4.13000E+01 -2.21744E-01 14 PG.tau. 5 2.00000E-01 2.36194E-02 15 PG.Ampl. 5 8.00000E+02 -4.32282E+00 16 PG.Posn. 6 5.05000E+01 -2.72884E-01 17 PG.tau. 6 2.00000E-01 2.36194E-02 18 PG.Ampl. 6 8.00000E+02 -4.32284E+00 19 Poly2.a0 1.25400E+02 -1.69548E+01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.474E+2 Test Value = 2.112E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34925E+00 -1.30273E-02 2 PG.tau. 1 2.23619E-01 1.84777E-03 3 PG.Ampl. 1 7.95677E+02 1.17939E+01 4 PG.Posn. 2 1.35002E+01 3.70333E-03 5 PG.tau. 2 2.23619E-01 1.84777E-03 6 PG.Ampl. 2 7.95677E+02 1.17939E+01 7 PG.Posn. 3 2.27254E+01 -3.42775E-02 8 PG.tau. 3 2.23619E-01 1.84777E-03 9 PG.Ampl. 3 7.95677E+02 1.17939E+01 10 PG.Posn. 4 3.18922E+01 -3.32105E-02 11 PG.tau. 4 2.23619E-01 1.84777E-03 12 PG.Ampl. 4 7.95677E+02 1.17939E+01 13 PG.Posn. 5 4.10783E+01 -5.60741E-02 14 PG.tau. 5 2.23619E-01 1.84777E-03 15 PG.Ampl. 5 7.95677E+02 1.17939E+01 16 PG.Posn. 6 5.02271E+01 -3.52652E-02 17 PG.tau. 6 2.23619E-01 1.84777E-03 18 PG.Ampl. 6 7.95677E+02 1.17939E+01 19 Poly2.a0 1.08445E+02 -1.22623E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 4.743E+1 Test Value = 1.889E+0 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33622E+00 -1.34514E-03 2 PG.tau. 1 2.25467E-01 3.36563E-04 3 PG.Ampl. 1 8.07471E+02 1.08670E-01 4 PG.Posn. 2 1.35039E+01 -1.18613E-03 5 PG.tau. 2 2.25467E-01 3.36563E-04 6 PG.Ampl. 2 8.07471E+02 1.08669E-01 7 PG.Posn. 3 2.26911E+01 -7.37549E-04 8 PG.tau. 3 2.25467E-01 3.36563E-04 9 PG.Ampl. 3 8.07471E+02 1.08669E-01 10 PG.Posn. 4 3.18590E+01 -1.92061E-03 11 PG.tau. 4 2.25467E-01 3.36563E-04 12 PG.Ampl. 4 8.07471E+02 1.08669E-01 13 PG.Posn. 5 4.10222E+01 -8.52969E-03 14 PG.tau. 5 2.25467E-01 3.36563E-04 15 PG.Ampl. 5 8.07471E+02 1.08669E-01 16 PG.Posn. 6 5.01919E+01 -2.42167E-03 17 PG.tau. 6 2.25467E-01 3.36563E-04 18 PG.Ampl. 6 8.07471E+02 1.08669E-01 19 Poly2.a0 1.07219E+02 -9.78757E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 4.683E+1 Test Value = 3.030E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33487E+00 -2.43077E-04 2 PG.tau. 1 2.25804E-01 5.65762E-05 3 PG.Ampl. 1 8.07580E+02 -1.13911E-01 4 PG.Posn. 2 1.35027E+01 -1.90530E-04 5 PG.tau. 2 2.25804E-01 5.65762E-05 6 PG.Ampl. 2 8.07580E+02 -1.13910E-01 7 PG.Posn. 3 2.26904E+01 -2.06688E-04 8 PG.tau. 3 2.25804E-01 5.65764E-05 9 PG.Ampl. 3 8.07580E+02 -1.13910E-01 10 PG.Posn. 4 3.18571E+01 -4.48737E-04 11 PG.tau. 4 2.25804E-01 5.65764E-05 12 PG.Ampl. 4 8.07580E+02 -1.13910E-01 13 PG.Posn. 5 4.10137E+01 -9.29017E-04 14 PG.tau. 5 2.25804E-01 5.65767E-05 15 PG.Ampl. 5 8.07580E+02 -1.13910E-01 16 PG.Posn. 6 5.01894E+01 -3.33417E-04 17 PG.tau. 6 2.25804E-01 5.65765E-05 18 PG.Ampl. 6 8.07580E+02 -1.13911E-01 19 Poly2.a0 1.07121E+02 -6.19559E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 4.683E+1 Test Value = 3.186E-2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33463E+00 -2.58536E-05 2 PG.tau. 1 2.25860E-01 5.99561E-06 3 PG.Ampl. 1 8.07466E+02 -1.30143E-02 4 PG.Posn. 2 1.35025E+01 -2.02188E-05 5 PG.tau. 2 2.25860E-01 5.99560E-06 6 PG.Ampl. 2 8.07466E+02 -1.30147E-02 7 PG.Posn. 3 2.26901E+01 -2.63872E-05 8 PG.tau. 3 2.25860E-01 5.99565E-06 9 PG.Ampl. 3 8.07466E+02 -1.30147E-02 10 PG.Posn. 4 3.18566E+01 -4.16984E-05 11 PG.tau. 4 2.25860E-01 5.99565E-06 12 PG.Ampl. 4 8.07466E+02 -1.30147E-02 13 PG.Posn. 5 4.10127E+01 -8.62238E-05 14 PG.tau. 5 2.25860E-01 5.99533E-06 15 PG.Ampl. 5 8.07466E+02 -1.30140E-02 16 PG.Posn. 6 5.01891E+01 -3.32872E-05 17 PG.tau. 6 2.25860E-01 5.99532E-06 18 PG.Ampl. 6 8.07466E+02 -1.30138E-02 19 Poly2.a0 1.07115E+02 -7.25182E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 6 ChiSq = 4.683E+1 Test Value = 3.115E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33461E+00 -2.51231E-06 2 PG.tau. 1 2.25866E-01 5.61216E-07 3 PG.Ampl. 1 8.07453E+02 -1.19695E-03 4 PG.Posn. 2 1.35025E+01 -2.09971E-06 5 PG.tau. 2 2.25866E-01 5.61463E-07 6 PG.Ampl. 2 8.07453E+02 -1.19722E-03 7 PG.Posn. 3 2.26901E+01 -2.39364E-06 8 PG.tau. 3 2.25866E-01 5.61157E-07 9 PG.Ampl. 3 8.07453E+02 -1.19718E-03 10 PG.Posn. 4 3.18566E+01 -3.98475E-06 11 PG.tau. 4 2.25866E-01 5.61157E-07 12 PG.Ampl. 4 8.07453E+02 -1.19718E-03 13 PG.Posn. 5 4.10126E+01 -6.49036E-06 14 PG.tau. 5 2.25866E-01 5.61214E-07 15 PG.Ampl. 5 8.07453E+02 -1.19602E-03 16 PG.Posn. 6 5.01891E+01 -6.05072E-06 17 PG.tau. 6 2.25866E-01 5.61295E-07 18 PG.Ampl. 6 8.07453E+02 -1.19608E-03 19 Poly2.a0 1.07114E+02 -7.02997E-05 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 6 iterations with 12 constraints, Test Value= 3.115E-3 ChiSq=46.828 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.33460E+00 1.21275E-03 2 PG.tau. 1 2.25867E-01 2.41999E-04 3 PG.Ampl. 1 8.07452E+02 6.79901E-01 4 PG.Posn. 2 1.35025E+01 1.06071E-03 5 PG.tau. 2 2.25867E-01 2.41999E-04 6 PG.Ampl. 2 8.07452E+02 6.79901E-01 7 PG.Posn. 3 2.26901E+01 1.49735E-03 8 PG.tau. 3 2.25867E-01 2.41999E-04 9 PG.Ampl. 3 8.07452E+02 6.79901E-01 10 PG.Posn. 4 3.18566E+01 2.80534E-03 11 PG.tau. 4 2.25867E-01 2.41999E-04 12 PG.Ampl. 4 8.07452E+02 6.79901E-01 13 PG.Posn. 5 4.10126E+01 2.29564E-03 14 PG.tau. 5 2.25867E-01 2.41999E-04 15 PG.Ampl. 5 8.07452E+02 6.79901E-01 16 PG.Posn. 6 5.01891E+01 1.53933E-03 17 PG.tau. 6 2.25867E-01 2.41999E-04 18 PG.Ampl. 6 8.07452E+02 6.79902E-01 19 Poly2.a0 1.07114E+02 1.47152E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -85.18 100.00 3: 58.73 -65.76 100.00 4: 64.02 -75.41 44.50 100.00 5: -85.18 100.00 -65.76 -75.41 100.00 6: 58.73 -65.76 100.00 44.50 -65.76 100.00 7: 42.11 -50.50 15.68 39.60 -50.50 15.68 100.00 8: -85.18 100.00 -65.76 -75.41 100.00 -65.76 -50.50 100.00 9: 58.73 -65.76 100.00 44.50 -65.76 100.00 15.68 -65.76 100.00 10: 54.80 -64.96 35.68 49.46 -64.96 35.68 35.37 -64.96 35.68 100.00 11: -85.18 100.00 -65.76 -75.41 100.00 -65.76 -50.50 100.00 -65.76 -64.96 100.00 12: 58.73 -65.76 100.00 44.50 -65.76 100.00 15.68 -65.76 100.00 35.68 -65.76 100.00 13: 69.90 -81.67 61.37 60.88 -81.67 61.37 38.94 -81.67 61.37 52.27 -81.67 61.37 100.00 14: -85.18 100.00 -65.76 -75.41 100.00 -65.76 -50.50 100.00 -65.76 -64.96 100.00 -65.76 -81.67 100.00 15: 58.73 -65.76 100.00 44.50 -65.76 100.00 15.68 -65.76 100.00 35.68 -65.76 100.00 61.37 -65.76 100.00 16: 73.84 -86.27 63.46 64.48 -86.27 63.46 41.44 -86.27 63.46 55.07 -86.27 63.46 71.35 -86.27 63.46 100.00 17: -85.18 100.00 -65.76 -75.41 100.00 -65.76 -50.50 100.00 -65.76 -64.96 100.00 -65.76 -81.67 100.00 -65.76 -86.27 100.00 18: 58.73 -65.76 100.00 44.50 -65.76 100.00 15.68 -65.76 100.00 35.68 -65.76 100.00 61.37 -65.76 100.00 63.46 -65.76 100.00 19: 25.41 -29.59 -10.87 26.37 -29.59 -10.87 20.93 -29.59 -10.87 14.29 -29.59 -10.87 18.66 -29.59 -10.87 23.08 -29.59 -10.87 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 2.709E+3 Test Value = 1.592E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.42657E-01 2 PG.tau. 1 2.00000E-01 2.43295E-02 3 PG.Ampl. 1 8.00000E+02 -3.86620E+01 4 PG.Posn. 2 1.37000E+01 -1.93172E-01 5 PG.tau. 2 2.00000E-01 2.43295E-02 6 PG.Ampl. 2 8.00000E+02 -3.86621E+01 7 PG.Posn. 3 2.29000E+01 -1.68793E-01 8 PG.tau. 3 2.00000E-01 2.43295E-02 9 PG.Ampl. 3 8.00000E+02 -3.86621E+01 10 PG.Posn. 4 3.21000E+01 -2.04744E-01 11 PG.tau. 4 2.00000E-01 2.43295E-02 12 PG.Ampl. 4 8.00000E+02 -3.86621E+01 13 PG.Posn. 5 4.13000E+01 -2.15475E-01 14 PG.tau. 5 2.00000E-01 2.43295E-02 15 PG.Ampl. 5 8.00000E+02 -3.86620E+01 16 PG.Posn. 6 5.05000E+01 -2.59163E-01 17 PG.tau. 6 2.00000E-01 2.43295E-02 18 PG.Ampl. 6 8.00000E+02 -3.86621E+01 19 Poly2.a0 1.25400E+02 -1.34116E+01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.418E+2 Test Value = 2.387E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.35734E+00 -1.83963E-02 2 PG.tau. 1 2.24329E-01 2.76736E-03 3 PG.Ampl. 1 7.61338E+02 1.19661E+01 4 PG.Posn. 2 1.35068E+01 -4.52642E-03 5 PG.tau. 2 2.24329E-01 2.76736E-03 6 PG.Ampl. 2 7.61338E+02 1.19661E+01 7 PG.Posn. 3 2.27312E+01 -4.57217E-02 8 PG.tau. 3 2.24329E-01 2.76736E-03 9 PG.Ampl. 3 7.61338E+02 1.19661E+01 10 PG.Posn. 4 3.18953E+01 -3.46060E-02 11 PG.tau. 4 2.24329E-01 2.76736E-03 12 PG.Ampl. 4 7.61338E+02 1.19661E+01 13 PG.Posn. 5 4.10845E+01 -6.00108E-02 14 PG.tau. 5 2.24329E-01 2.76736E-03 15 PG.Ampl. 5 7.61338E+02 1.19661E+01 16 PG.Posn. 6 5.02408E+01 -4.45767E-02 17 PG.tau. 6 2.24329E-01 2.76736E-03 18 PG.Ampl. 6 7.61338E+02 1.19661E+01 19 Poly2.a0 1.11988E+02 -1.18739E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 3.108E+1 Test Value = 1.403E+0 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33895E+00 -8.13750E-04 2 PG.tau. 1 2.27097E-01 2.07510E-04 3 PG.Ampl. 1 7.73304E+02 4.58719E-01 4 PG.Posn. 2 1.35023E+01 -8.24907E-04 5 PG.tau. 2 2.27097E-01 2.07510E-04 6 PG.Ampl. 2 7.73304E+02 4.58719E-01 7 PG.Posn. 3 2.26855E+01 -2.61896E-04 8 PG.tau. 3 2.27097E-01 2.07510E-04 9 PG.Ampl. 3 7.73304E+02 4.58719E-01 10 PG.Posn. 4 3.18606E+01 -6.28355E-04 11 PG.tau. 4 2.27097E-01 2.07510E-04 12 PG.Ampl. 4 7.73304E+02 4.58719E-01 13 PG.Posn. 5 4.10245E+01 -6.49761E-03 14 PG.tau. 5 2.27097E-01 2.07511E-04 15 PG.Ampl. 5 7.73304E+02 4.58720E-01 16 PG.Posn. 6 5.01963E+01 -2.02613E-03 17 PG.tau. 6 2.27097E-01 2.07510E-04 18 PG.Ampl. 6 7.73304E+02 4.58719E-01 19 Poly2.a0 1.10801E+02 -1.06147E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 3.063E+1 Test Value = 1.572E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33813E+00 -1.32806E-04 2 PG.tau. 1 2.27304E-01 3.12222E-05 3 PG.Ampl. 1 7.73763E+02 -5.99060E-02 4 PG.Posn. 2 1.35015E+01 -1.04520E-04 5 PG.tau. 2 2.27304E-01 3.12218E-05 6 PG.Ampl. 2 7.73763E+02 -5.99055E-02 7 PG.Posn. 3 2.26852E+01 -9.56102E-05 8 PG.tau. 3 2.27304E-01 3.12218E-05 9 PG.Ampl. 3 7.73763E+02 -5.99058E-02 10 PG.Posn. 4 3.18600E+01 -2.87154E-04 11 PG.tau. 4 2.27304E-01 3.12218E-05 12 PG.Ampl. 4 7.73763E+02 -5.99058E-02 13 PG.Posn. 5 4.10180E+01 -4.69752E-04 14 PG.tau. 5 2.27304E-01 3.12216E-05 15 PG.Ampl. 5 7.73763E+02 -5.99058E-02 16 PG.Posn. 6 5.01942E+01 -1.78942E-04 17 PG.tau. 6 2.27304E-01 3.12219E-05 18 PG.Ampl. 6 7.73763E+02 -5.99059E-02 19 Poly2.a0 1.10695E+02 -3.31435E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 3.063E+1 Test Value = 9.962E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33800E+00 -8.80054E-06 2 PG.tau. 1 2.27336E-01 1.97135E-06 3 PG.Ampl. 1 7.73703E+02 -4.18148E-03 4 PG.Posn. 2 1.35014E+01 -6.32444E-06 5 PG.tau. 2 2.27336E-01 1.97165E-06 6 PG.Ampl. 2 7.73703E+02 -4.18134E-03 7 PG.Posn. 3 2.26851E+01 -8.71885E-06 8 PG.tau. 3 2.27336E-01 1.97140E-06 9 PG.Ampl. 3 7.73703E+02 -4.18141E-03 10 PG.Posn. 4 3.18597E+01 -9.47912E-06 11 PG.tau. 4 2.27336E-01 1.97140E-06 12 PG.Ampl. 4 7.73703E+02 -4.18141E-03 13 PG.Posn. 5 4.10175E+01 -2.69099E-05 14 PG.tau. 5 2.27336E-01 1.97137E-06 15 PG.Ampl. 5 7.73703E+02 -4.18039E-03 16 PG.Posn. 6 5.01941E+01 -1.14886E-05 17 PG.tau. 6 2.27336E-01 1.97163E-06 18 PG.Ampl. 6 7.73703E+02 -4.18030E-03 19 Poly2.a0 1.10692E+02 -2.79400E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 5 iterations with 12 constraints, Test Value= 9.962E-3 ChiSq=30.628 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.33799E+00 1.26356E-03 2 PG.tau. 1 2.27338E-01 2.55176E-04 3 PG.Ampl. 1 7.73699E+02 6.82499E-01 4 PG.Posn. 2 1.35014E+01 1.11482E-03 5 PG.tau. 2 2.27338E-01 2.55176E-04 6 PG.Ampl. 2 7.73699E+02 6.82499E-01 7 PG.Posn. 3 2.26851E+01 1.55956E-03 8 PG.tau. 3 2.27338E-01 2.55176E-04 9 PG.Ampl. 3 7.73699E+02 6.82499E-01 10 PG.Posn. 4 3.18597E+01 2.95355E-03 11 PG.tau. 4 2.27338E-01 2.55176E-04 12 PG.Ampl. 4 7.73699E+02 6.82499E-01 13 PG.Posn. 5 4.10175E+01 2.34480E-03 14 PG.tau. 5 2.27338E-01 2.55176E-04 15 PG.Ampl. 5 7.73699E+02 6.82499E-01 16 PG.Posn. 6 5.01940E+01 1.58977E-03 17 PG.tau. 6 2.27338E-01 2.55176E-04 18 PG.Ampl. 6 7.73699E+02 6.82499E-01 19 Poly2.a0 1.10691E+02 1.47369E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -85.07 100.00 3: 58.97 -66.58 100.00 4: 63.77 -75.18 44.87 100.00 5: -85.07 100.00 -66.58 -75.18 100.00 6: 58.97 -66.58 100.00 44.87 -66.58 100.00 7: 42.47 -50.84 16.90 39.74 -50.84 16.90 100.00 8: -85.07 100.00 -66.58 -75.18 100.00 -66.58 -50.84 100.00 9: 58.97 -66.58 100.00 44.87 -66.58 100.00 16.90 -66.58 100.00 10: 56.82 -67.26 39.53 50.92 -67.26 39.53 36.15 -67.26 39.53 100.00 11: -85.07 100.00 -66.58 -75.18 100.00 -66.58 -50.84 100.00 -66.58 -67.26 100.00 12: 58.97 -66.58 100.00 44.87 -66.58 100.00 16.90 -66.58 100.00 39.53 -66.58 100.00 13: 70.40 -82.41 62.47 61.23 -82.41 62.47 39.63 -82.41 62.47 54.84 -82.41 62.47 100.00 14: -85.07 100.00 -66.58 -75.18 100.00 -66.58 -50.84 100.00 -66.58 -67.26 100.00 -66.58 -82.41 100.00 15: 58.97 -66.58 100.00 44.87 -66.58 100.00 16.90 -66.58 100.00 39.53 -66.58 100.00 62.47 -66.58 100.00 16: 73.85 -86.48 63.87 64.45 -86.48 63.87 42.00 -86.48 63.87 57.45 -86.48 63.87 72.11 -86.48 63.87 100.00 17: -85.07 100.00 -66.58 -75.18 100.00 -66.58 -50.84 100.00 -66.58 -67.26 100.00 -66.58 -82.41 100.00 -66.58 -86.48 100.00 18: 58.97 -66.58 100.00 44.87 -66.58 100.00 16.90 -66.58 100.00 39.53 -66.58 100.00 62.47 -66.58 100.00 63.87 -66.58 100.00 19: 25.64 -29.71 -10.53 26.46 -29.71 -10.53 21.11 -29.71 -10.53 14.74 -29.71 -10.53 19.21 -29.71 -10.53 23.43 -29.71 -10.53 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.266E+3 Test Value = 1.674E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.55751E-01 2 PG.tau. 1 2.00000E-01 2.72163E-02 3 PG.Ampl. 1 8.00000E+02 3.39494E+00 4 PG.Posn. 2 1.37000E+01 -2.02849E-01 5 PG.tau. 2 2.00000E-01 2.72163E-02 6 PG.Ampl. 2 8.00000E+02 3.39493E+00 7 PG.Posn. 3 2.29000E+01 -1.88808E-01 8 PG.tau. 3 2.00000E-01 2.72163E-02 9 PG.Ampl. 3 8.00000E+02 3.39492E+00 10 PG.Posn. 4 3.21000E+01 -2.39719E-01 11 PG.tau. 4 2.00000E-01 2.72163E-02 12 PG.Ampl. 4 8.00000E+02 3.39492E+00 13 PG.Posn. 5 4.13000E+01 -2.32033E-01 14 PG.tau. 5 2.00000E-01 2.72163E-02 15 PG.Ampl. 5 8.00000E+02 3.39494E+00 16 PG.Posn. 6 5.05000E+01 -2.78893E-01 17 PG.tau. 6 2.00000E-01 2.72163E-02 18 PG.Ampl. 6 8.00000E+02 3.39493E+00 19 Poly2.a0 1.25400E+02 -8.37867E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.195E+2 Test Value = 2.418E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.34425E+00 -7.37817E-03 2 PG.tau. 1 2.27216E-01 6.73319E-04 3 PG.Ampl. 1 8.03395E+02 1.71264E+01 4 PG.Posn. 2 1.34972E+01 7.78930E-03 5 PG.tau. 2 2.27216E-01 6.73318E-04 6 PG.Ampl. 2 8.03395E+02 1.71264E+01 7 PG.Posn. 3 2.27112E+01 -3.45948E-02 8 PG.tau. 3 2.27216E-01 6.73317E-04 9 PG.Ampl. 3 8.03395E+02 1.71264E+01 10 PG.Posn. 4 3.18603E+01 -2.24518E-02 11 PG.tau. 4 2.27216E-01 6.73317E-04 12 PG.Ampl. 4 8.03395E+02 1.71264E+01 13 PG.Posn. 5 4.10680E+01 -4.23210E-02 14 PG.tau. 5 2.27216E-01 6.73318E-04 15 PG.Ampl. 5 8.03395E+02 1.71264E+01 16 PG.Posn. 6 5.02211E+01 -2.75105E-02 17 PG.tau. 6 2.27216E-01 6.73317E-04 18 PG.Ampl. 6 8.03395E+02 1.71264E+01 19 Poly2.a0 1.17021E+02 -1.31007E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 2.072E+1 Test Value = 8.001E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33687E+00 -1.10670E-04 2 PG.tau. 1 2.27890E-01 5.21809E-05 3 PG.Ampl. 1 8.20521E+02 3.39307E-01 4 PG.Posn. 2 1.35049E+01 -3.05408E-04 5 PG.tau. 2 2.27890E-01 5.21810E-05 6 PG.Ampl. 2 8.20521E+02 3.39307E-01 7 PG.Posn. 3 2.26766E+01 1.22607E-03 8 PG.tau. 3 2.27890E-01 5.21809E-05 9 PG.Ampl. 3 8.20521E+02 3.39306E-01 10 PG.Posn. 4 3.18378E+01 1.92984E-03 11 PG.tau. 4 2.27890E-01 5.21809E-05 12 PG.Ampl. 4 8.20521E+02 3.39306E-01 13 PG.Posn. 5 4.10256E+01 -3.28499E-03 14 PG.tau. 5 2.27890E-01 5.21808E-05 15 PG.Ampl. 5 8.20521E+02 3.39307E-01 16 PG.Posn. 6 5.01936E+01 -3.69548E-04 17 PG.tau. 6 2.27890E-01 5.21809E-05 18 PG.Ampl. 6 8.20521E+02 3.39307E-01 19 Poly2.a0 1.15711E+02 -6.34386E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 2.052E+1 Test Value = 9.748E-2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33676E+00 -7.07541E-05 2 PG.tau. 1 2.27942E-01 1.70194E-05 3 PG.Ampl. 1 8.20861E+02 -2.98809E-02 4 PG.Posn. 2 1.35046E+01 -5.62876E-05 5 PG.tau. 2 2.27942E-01 1.70195E-05 6 PG.Ampl. 2 8.20861E+02 -2.98810E-02 7 PG.Posn. 3 2.26778E+01 -2.04022E-05 8 PG.tau. 3 2.27942E-01 1.70196E-05 9 PG.Ampl. 3 8.20861E+02 -2.98810E-02 10 PG.Posn. 4 3.18398E+01 -3.84289E-04 11 PG.tau. 4 2.27942E-01 1.70196E-05 12 PG.Ampl. 4 8.20861E+02 -2.98810E-02 13 PG.Posn. 5 4.10224E+01 -2.34935E-04 14 PG.tau. 5 2.27942E-01 1.70194E-05 15 PG.Ampl. 5 8.20861E+02 -2.98808E-02 16 PG.Posn. 6 5.01932E+01 -9.08245E-05 17 PG.tau. 6 2.27942E-01 1.70194E-05 18 PG.Ampl. 6 8.20861E+02 -2.98806E-02 19 Poly2.a0 1.15648E+02 -1.13813E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 2.051E+1 Test Value = 5.548E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33669E+00 2.04746E-06 2 PG.tau. 1 2.27959E-01 -5.47912E-07 3 PG.Ampl. 1 8.20831E+02 -5.62303E-04 4 PG.Posn. 2 1.35046E+01 1.98225E-06 5 PG.tau. 2 2.27959E-01 -5.48008E-07 6 PG.Ampl. 2 8.20831E+02 -5.62303E-04 7 PG.Posn. 3 2.26778E+01 2.25454E-06 8 PG.tau. 3 2.27959E-01 -5.47930E-07 9 PG.Ampl. 3 8.20831E+02 -5.62363E-04 10 PG.Posn. 4 3.18394E+01 4.09728E-05 11 PG.tau. 4 2.27959E-01 -5.47930E-07 12 PG.Ampl. 4 8.20831E+02 -5.62363E-04 13 PG.Posn. 5 4.10221E+01 -3.83025E-07 14 PG.tau. 5 2.27959E-01 -5.47787E-07 15 PG.Ampl. 5 8.20831E+02 -5.61702E-04 16 PG.Posn. 6 5.01931E+01 -7.53635E-07 17 PG.tau. 6 2.27959E-01 -5.47791E-07 18 PG.Ampl. 6 8.20831E+02 -5.61702E-04 19 Poly2.a0 1.15647E+02 6.33328E-06 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 5 iterations with 12 constraints, Test Value= 5.548E-3 ChiSq=20.515 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.33669E+00 1.17697E-03 2 PG.tau. 1 2.27958E-01 2.36620E-04 3 PG.Ampl. 1 8.20830E+02 6.78910E-01 4 PG.Posn. 2 1.35046E+01 1.04262E-03 5 PG.tau. 2 2.27958E-01 2.36620E-04 6 PG.Ampl. 2 8.20830E+02 6.78910E-01 7 PG.Posn. 3 2.26778E+01 1.43273E-03 8 PG.tau. 3 2.27958E-01 2.36620E-04 9 PG.Ampl. 3 8.20830E+02 6.78910E-01 10 PG.Posn. 4 3.18394E+01 2.69373E-03 11 PG.tau. 4 2.27958E-01 2.36620E-04 12 PG.Ampl. 4 8.20830E+02 6.78910E-01 13 PG.Posn. 5 4.10221E+01 2.14602E-03 14 PG.tau. 5 2.27958E-01 2.36620E-04 15 PG.Ampl. 5 8.20830E+02 6.78910E-01 16 PG.Posn. 6 5.01931E+01 1.47741E-03 17 PG.tau. 6 2.27958E-01 2.36620E-04 18 PG.Ampl. 6 8.20830E+02 6.78910E-01 19 Poly2.a0 1.15647E+02 1.47634E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -84.60 100.00 3: 57.92 -65.67 100.00 4: 62.43 -74.04 43.01 100.00 5: -84.60 100.00 -65.67 -74.04 100.00 6: 57.92 -65.67 100.00 43.01 -65.67 100.00 7: 42.16 -50.74 16.37 39.19 -50.74 16.37 100.00 8: -84.60 100.00 -65.67 -74.04 100.00 -65.67 -50.74 100.00 9: 57.92 -65.67 100.00 43.01 -65.67 100.00 16.37 -65.67 100.00 10: 52.99 -63.27 33.25 47.51 -63.27 33.25 34.91 -63.27 33.25 100.00 11: -84.60 100.00 -65.67 -74.04 100.00 -65.67 -50.74 100.00 -65.67 -63.27 100.00 12: 57.92 -65.67 100.00 43.01 -65.67 100.00 16.37 -65.67 100.00 33.25 -65.67 100.00 13: 69.88 -82.24 61.87 60.09 -82.24 61.87 39.42 -82.24 61.87 51.00 -82.24 61.87 100.00 14: -84.60 100.00 -65.67 -74.04 100.00 -65.67 -50.74 100.00 -65.67 -63.27 100.00 -65.67 -82.24 100.00 15: 57.92 -65.67 100.00 43.01 -65.67 100.00 16.37 -65.67 100.00 33.25 -65.67 100.00 61.87 -65.67 100.00 16: 73.11 -86.07 62.95 63.11 -86.07 62.95 41.71 -86.07 62.95 53.39 -86.07 62.95 71.66 -86.07 62.95 100.00 17: -84.60 100.00 -65.67 -74.04 100.00 -65.67 -50.74 100.00 -65.67 -63.27 100.00 -65.67 -82.24 100.00 -65.67 -86.07 100.00 18: 57.92 -65.67 100.00 43.01 -65.67 100.00 16.37 -65.67 100.00 33.25 -65.67 100.00 61.87 -65.67 100.00 62.95 -65.67 100.00 19: 26.20 -30.52 -10.38 26.86 -30.52 -10.38 21.62 -30.52 -10.38 15.13 -30.52 -10.38 19.90 -30.52 -10.38 24.00 -30.52 -10.38 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT. GFIT [DataFile] [ParamsFile] [ConstrFile] [-c] [-xc xcolumn] [-yc ycolumn] -c to config OR GFIT [ParamsFile] -f to calculate and write the fit-function by V.Angelov, 1995 - 2004 Max number of points now is 16383 Test value = 10.0E-3 Standart dev. for Y is given by: A+B*abs(Y), where A=1.000000 and B=0.000000 q=5.0K/min Ethomas[cm-1]=1.000 ne[Udo3]=3.000 n for Gauss shaping [2..] = 5 62 channels read from spectrum ../adc.dat 1 Gpulse 4.50000000 0.20000000 800.00000000 2 Gpulse 13.69999981 0.20000000 800.00000000 3 Gpulse 22.89999962 0.20000000 800.00000000 4 Gpulse 32.09999847 0.20000000 800.00000000 5 Gpulse 41.29999924 0.20000000 800.00000000 6 Gpulse 50.50000000 0.20000000 800.00000000 7 Polynom 125.40000150 0.00000000 0.00000000 * baseline slope FIX 20 * baseline x**2 FIX 21 * * all widths equal LC +1.000*PG.tau. 1-1.000*PG.tau. 2 = const LC +1.000*PG.tau. 2-1.000*PG.tau. 3 = const LC +1.000*PG.tau. 3-1.000*PG.tau. 4 = const LC +1.000*PG.tau. 4-1.000*PG.tau. 5 = const LC +1.000*PG.tau. 5-1.000*PG.tau. 6 = const * * all amplitudes equal LC +1.000*PG.Ampl. 1-1.000*PG.Ampl. 2 = const LC +1.000*PG.Ampl. 2-1.000*PG.Ampl. 3 = const LC +1.000*PG.Ampl. 3-1.000*PG.Ampl. 4 = const LC +1.000*PG.Ampl. 4-1.000*PG.Ampl. 5 = const LC +1.000*PG.Ampl. 5-1.000*PG.Ampl. 6 = const * * pos(2)-pos(1)=const *LC 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(3)-pos(2)=const *LC 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 * pos(4)-pos(3)=const *LC 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 0 0 0 * pos(5)-pos(4)=const *LC 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 0 0 0 * pos(6)-pos(5)=const *LC 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 -1 0 0 0 0 0 * **** **** Co-processor 80387 present Calculating the matrix of constraints . . . There are 25 different elements in the matrix of constraints. Iter 1 ChiSq = 3.256E+3 Test Value = 1.722E+2 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.50000E+00 -1.49754E-01 2 PG.tau. 1 2.00000E-01 2.54575E-02 3 PG.Ampl. 1 8.00000E+02 -2.33663E+01 4 PG.Posn. 2 1.37000E+01 -1.89793E-01 5 PG.tau. 2 2.00000E-01 2.54576E-02 6 PG.Ampl. 2 8.00000E+02 -2.33663E+01 7 PG.Posn. 3 2.29000E+01 -1.73127E-01 8 PG.tau. 3 2.00000E-01 2.54576E-02 9 PG.Ampl. 3 8.00000E+02 -2.33663E+01 10 PG.Posn. 4 3.21000E+01 -2.24657E-01 11 PG.tau. 4 2.00000E-01 2.54576E-02 12 PG.Ampl. 4 8.00000E+02 -2.33663E+01 13 PG.Posn. 5 4.13000E+01 -2.21578E-01 14 PG.tau. 5 2.00000E-01 2.54576E-02 15 PG.Ampl. 5 8.00000E+02 -2.33663E+01 16 PG.Posn. 6 5.05000E+01 -2.71067E-01 17 PG.tau. 6 2.00000E-01 2.54576E-02 18 PG.Ampl. 6 8.00000E+02 -2.33663E+01 19 Poly2.a0 1.25400E+02 -2.83272E+01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 2 ChiSq = 1.383E+2 Test Value = 2.408E+1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.35025E+00 -1.29947E-02 2 PG.tau. 1 2.25458E-01 1.63235E-03 3 PG.Ampl. 1 7.76634E+02 1.53301E+01 4 PG.Posn. 2 1.35102E+01 -3.76827E-04 5 PG.tau. 2 2.25458E-01 1.63236E-03 6 PG.Ampl. 2 7.76634E+02 1.53301E+01 7 PG.Posn. 3 2.27269E+01 -3.86483E-02 8 PG.tau. 3 2.25458E-01 1.63235E-03 9 PG.Ampl. 3 7.76634E+02 1.53301E+01 10 PG.Posn. 4 3.18753E+01 -3.04293E-02 11 PG.tau. 4 2.25458E-01 1.63235E-03 12 PG.Ampl. 4 7.76634E+02 1.53301E+01 13 PG.Posn. 5 4.10784E+01 -5.12115E-02 14 PG.tau. 5 2.25458E-01 1.63235E-03 15 PG.Ampl. 5 7.76634E+02 1.53301E+01 16 PG.Posn. 6 5.02289E+01 -3.76878E-02 17 PG.tau. 6 2.25458E-01 1.63235E-03 18 PG.Ampl. 6 7.76634E+02 1.53301E+01 19 Poly2.a0 9.70728E+01 -1.12041E+00 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 3 ChiSq = 2.906E+1 Test Value = 1.068E+0 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33725E+00 -3.83651E-04 2 PG.tau. 1 2.27090E-01 1.17304E-04 3 PG.Ampl. 1 7.91964E+02 3.50379E-01 4 PG.Posn. 2 1.35098E+01 -5.06400E-04 5 PG.tau. 2 2.27090E-01 1.17304E-04 6 PG.Ampl. 2 7.91964E+02 3.50379E-01 7 PG.Posn. 3 2.26882E+01 8.77621E-04 8 PG.tau. 3 2.27090E-01 1.17304E-04 9 PG.Ampl. 3 7.91964E+02 3.50378E-01 10 PG.Posn. 4 3.18449E+01 1.53547E-03 11 PG.tau. 4 2.27090E-01 1.17304E-04 12 PG.Ampl. 4 7.91964E+02 3.50378E-01 13 PG.Posn. 5 4.10272E+01 -5.21477E-03 14 PG.tau. 5 2.27090E-01 1.17304E-04 15 PG.Ampl. 5 7.91964E+02 3.50379E-01 16 PG.Posn. 6 5.01912E+01 -1.11124E-03 17 PG.tau. 6 2.27090E-01 1.17305E-04 18 PG.Ampl. 6 7.91964E+02 3.50379E-01 19 Poly2.a0 9.59524E+01 -7.81190E-02 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 4 ChiSq = 2.869E+1 Test Value = 1.808E-1 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33687E+00 -1.43617E-04 2 PG.tau. 1 2.27207E-01 3.41708E-05 3 PG.Ampl. 1 7.92314E+02 -6.41963E-02 4 PG.Posn. 2 1.35093E+01 -1.11879E-04 5 PG.tau. 2 2.27207E-01 3.41709E-05 6 PG.Ampl. 2 7.92314E+02 -6.41965E-02 7 PG.Posn. 3 2.26891E+01 -8.35756E-05 8 PG.tau. 3 2.27207E-01 3.41711E-05 9 PG.Ampl. 3 7.92314E+02 -6.41962E-02 10 PG.Posn. 4 3.18464E+01 -4.97617E-04 11 PG.tau. 4 2.27207E-01 3.41711E-05 12 PG.Ampl. 4 7.92314E+02 -6.41962E-02 13 PG.Posn. 5 4.10220E+01 -4.97457E-04 14 PG.tau. 5 2.27207E-01 3.41710E-05 15 PG.Ampl. 5 7.92314E+02 -6.41968E-02 16 PG.Posn. 6 5.01901E+01 -1.90218E-04 17 PG.tau. 6 2.27207E-01 3.41711E-05 18 PG.Ampl. 6 7.92314E+02 -6.41969E-02 19 Poly2.a0 9.58743E+01 -3.07947E-03 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Iter 5 ChiSq = 2.869E+1 Test Value = 8.431E-3 Damp.Fact = 1.000 Par# Parameter Value Correction 1 PG.Posn. 1 4.33672E+00 -5.02762E-06 2 PG.tau. 1 2.27241E-01 1.12563E-06 3 PG.Ampl. 1 7.92250E+02 -4.12582E-03 4 PG.Posn. 2 1.35092E+01 -2.90176E-06 5 PG.tau. 2 2.27241E-01 1.12542E-06 6 PG.Ampl. 2 7.92250E+02 -4.12579E-03 7 PG.Posn. 3 2.26890E+01 -4.47158E-06 8 PG.tau. 3 2.27241E-01 1.12540E-06 9 PG.Ampl. 3 7.92250E+02 -4.12583E-03 10 PG.Posn. 4 3.18459E+01 3.16472E-05 11 PG.tau. 4 2.27241E-01 1.12540E-06 12 PG.Ampl. 4 7.92250E+02 -4.12583E-03 13 PG.Posn. 5 4.10215E+01 -2.35992E-05 14 PG.tau. 5 2.27241E-01 1.12527E-06 15 PG.Ampl. 5 7.92250E+02 -4.12644E-03 16 PG.Posn. 6 5.01899E+01 -6.55519E-06 17 PG.tau. 6 2.27241E-01 1.12543E-06 18 PG.Ampl. 6 7.92250E+02 -4.12603E-03 19 Poly2.a0 9.58712E+01 -2.17361E-04 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed Process has converged After 5 iterations with 12 constraints, Test Value= 8.431E-3 ChiSq=28.689 Par# Parameter Value Stand.Dev. 1 PG.Posn. 1 4.33672E+00 1.22125E-03 2 PG.tau. 1 2.27243E-01 2.45031E-04 3 PG.Ampl. 1 7.92246E+02 6.76110E-01 4 PG.Posn. 2 1.35092E+01 1.07995E-03 5 PG.tau. 2 2.27243E-01 2.45031E-04 6 PG.Ampl. 2 7.92246E+02 6.76110E-01 7 PG.Posn. 3 2.26890E+01 1.54105E-03 8 PG.tau. 3 2.27243E-01 2.45031E-04 9 PG.Ampl. 3 7.92246E+02 6.76110E-01 10 PG.Posn. 4 3.18460E+01 2.81741E-03 11 PG.tau. 4 2.27243E-01 2.45031E-04 12 PG.Ampl. 4 7.92246E+02 6.76110E-01 13 PG.Posn. 5 4.10215E+01 2.24226E-03 14 PG.tau. 5 2.27243E-01 2.45031E-04 15 PG.Ampl. 5 7.92246E+02 6.76110E-01 16 PG.Posn. 6 5.01899E+01 1.54486E-03 17 PG.tau. 6 2.27243E-01 2.45031E-04 18 PG.Ampl. 6 7.92246E+02 6.76110E-01 19 Poly2.a0 9.58710E+01 1.47467E-01 20 Poly2.a1 0.0 Fixed 21 Poly2.a2 0.0 Fixed *** Normalized Variance - Covariance Matrix [%] *** 1: 100.00 2: -84.71 100.00 3: 57.76 -65.26 100.00 4: 62.37 -73.88 42.41 100.00 5: -84.71 100.00 -65.26 -73.88 100.00 6: 57.76 -65.26 100.00 42.41 -65.26 100.00 7: 41.54 -50.02 15.08 38.67 -50.02 15.08 100.00 8: -84.71 100.00 -65.26 -73.88 100.00 -65.26 -50.02 100.00 9: 57.76 -65.26 100.00 42.41 -65.26 100.00 15.08 -65.26 100.00 10: 53.64 -63.95 33.91 47.89 -63.95 33.91 34.77 -63.95 33.91 100.00 11: -84.71 100.00 -65.26 -73.88 100.00 -65.26 -50.02 100.00 -65.26 -63.95 100.00 12: 57.76 -65.26 100.00 42.41 -65.26 100.00 15.08 -65.26 100.00 33.91 -65.26 100.00 13: 69.85 -82.08 61.48 59.83 -82.08 61.48 38.68 -82.08 61.48 51.53 -82.08 61.48 100.00 14: -84.71 100.00 -65.26 -73.88 100.00 -65.26 -50.02 100.00 -65.26 -63.95 100.00 -65.26 -82.08 100.00 15: 57.76 -65.26 100.00 42.41 -65.26 100.00 15.08 -65.26 100.00 33.91 -65.26 100.00 61.48 -65.26 100.00 16: 73.22 -86.06 62.78 62.93 -86.06 62.78 40.97 -86.06 62.78 54.00 -86.06 62.78 71.54 -86.06 62.78 100.00 17: -84.71 100.00 -65.26 -73.88 100.00 -65.26 -50.02 100.00 -65.26 -63.95 100.00 -65.26 -82.08 100.00 -65.26 -86.06 100.00 18: 57.76 -65.26 100.00 42.41 -65.26 100.00 15.08 -65.26 100.00 33.91 -65.26 100.00 61.48 -65.26 100.00 62.78 -65.26 100.00 19: 25.99 -30.28 -10.71 26.70 -30.28 -10.71 21.05 -30.28 -10.71 14.86 -30.28 -10.71 19.60 -30.28 -10.71 23.70 -30.28 -10.71 100.00 Writing exp. data and fit lines in /home/trap1/mcm_tester/configurations/adc_eb/fit/experf.dat . . . Writing fit in 1000 points in 1fitf.dat and lines in 1line01.DAT, 1line02.DAT, 1line03.DAT, 1line04.DAT, 1line05.DAT, 1line06.DAT, 1line07.DAT.