******************************************************************************** GaussFit - A System for Least Squares and Robust Estimation Copyright (C) 1987-91 by William H. Jefferys, Barbara E. McArthur, James McCartney,and Mike Fitzpatrick All Rights Reserved. Version 3.53 ******************************************************************************** Time of GaussFit Run: Mon May 10 11:38:44 1999 Contents of the Environment File for this Run: data1 = 'td097237.dat' params = 'td097237.par' results = 'td097237.res' prvar = 1.0 iters = 50.0 fair = 0.9499999 tol = 0.00001 END Start of Iteration 1... fair ARE = 0.9499999 fair c = 1.3997970818055554 NEQN = 1255, DOF = 1246 SumPsiP = 1.000000, SumPsiPSq = 1.000000 Condition = 1.7427607598e+00 A1 = 0.0431572949007813 delta = 0.0031572949007813 A2 = 0.02376931366414 delta = 0.00376931366414 x1 = 3601.21034449352 delta = 1.2103444935204015 xdot = -58.4828293438946430 delta = -58.4828293438946430 y1 = 3649.9895008522449 delta = 49.989500852244731 ydot = -28.7255562000743620 delta = -28.7255562000743620 x2 = 4028.0883542061251 delta = 28.088354206125214 par = -19.0464933898170190 delta = -19.0464933898170190 y2 = 4359.3549498544735 delta = 59.3549498544735 fit = 5848282.9343894636 , tol = 0.00001 End of Iteration 1... Start of Iteration 2... SumPsiP = 0.255908, SumPsiPSq = 0.090904 Condition = 1.7057362302e+00 A1 = 0.0446121752010019 delta = 0.00145488030022 A2 = 0.0227984162886661 delta = -0.0009708973754748 x1 = 3606.0565697676839 delta = 4.8462252741631833 xdot = -50.3470049710914440 delta = 8.1358243728031976 y1 = 3644.6155614257245 delta = -5.3739394265203515 ydot = -25.7324321783365770 delta = 2.9931240217377844 x2 = 4027.2563636024447 delta = -0.8319906036804869 par = -19.7477087745178930 delta = -0.7012153847008717 y2 = 4352.7162864647071 delta = -6.6386633897668146 fit = 1.1738247509397146 , tol = 0.00001 End of Iteration 2... Start of Iteration 3... SumPsiP = 0.531678, SumPsiPSq = 0.312312 Condition = 1.7491417173e+00 A1 = 0.0438563450897555 delta = -0.0007558301112464 A2 = 0.0224604086018678 delta = -0.0003380076867983 x1 = 3602.80769913544 delta = -3.2488706322434426 xdot = -49.243269563621020 delta = 1.1037354074704271 y1 = 3640.0720237737028 delta = -4.5435376520216648 ydot = -24.99740174261890 delta = 0.7350304357176743 x2 = 4021.6402954651321 delta = -5.6160681373124417 par = -15.7455368787960222 delta = 4.00217189572187 y2 = 4347.7837534224573 delta = -4.9325330422498350 fit = 0.301915364693548 , tol = 0.00001 End of Iteration 3... Start of Iteration 4... SumPsiP = 0.589057, SumPsiPSq = 0.373926 Condition = 1.7256413074e+00 A1 = 0.0438327802282054 delta = -0.000023564861550 A2 = 0.02250090720717 delta = 0.0000404986053028 x1 = 3602.7612085123656 delta = -0.0464906230751353 xdot = -49.4981525977463330 delta = -0.2548830341253111 y1 = 3640.3976676143325 delta = 0.3256438406295384 ydot = -24.92204736000050 delta = 0.0753543826183984 x2 = 4021.9635101952272 delta = 0.3232147300948948 par = -16.3271435057875570 delta = -0.5816066269915339 y2 = 4347.8968767277893 delta = 0.1131233053317353 fit = 0.1183786444390038 , tol = 0.00001 End of Iteration 4... Start of Iteration 5... SumPsiP = 0.601046, SumPsiPSq = 0.388182 Condition = 1.7244441868e+00 A1 = 0.0438400833780381 delta = 0.0000073031498327 A2 = 0.0225063484025124 delta = 0.0000054411953417 x1 = 3602.7403379055991 delta = -0.0208706067664774 xdot = -49.4950934925403840 delta = 0.00305910520595 y1 = 3640.4658281230495 delta = 0.06816050871702 ydot = -24.9272525205623340 delta = -0.0052051605618320 x2 = 4022.0192184147 delta = 0.0557082194733 par = -16.2477377810497680 delta = 0.07940572473779 y2 = 4347.9261892159475 delta = 0.0293124881579515 fit = 0.0103990363382844 , tol = 0.00001 End of Iteration 5... Start of Iteration 6... SumPsiP = 0.603194, SumPsiPSq = 0.390679 Condition = 1.7249464412e+00 A1 = 0.0438401094605766 delta = 0.0000000260825385 A2 = 0.0225072018825438 delta = 0.0000008534800315 x1 = 3602.7375327206278 delta = -0.0028051849714668 xdot = -49.5090876465178340 delta = -0.0139941539774529 y1 = 3640.47427626354 delta = 0.0084481404909276 ydot = -24.9315584349046660 delta = -0.004305914342330 x2 = 4022.0237792467065 delta = 0.004560832006271 par = -16.2578869698052240 delta = -0.0101491887554546 y2 = 4347.9260524671881 delta = -0.000136748759150 fit = 0.00142165429928 , tol = 0.00001 End of Iteration 6... Start of Iteration 7... SumPsiP = 0.603603, SumPsiPSq = 0.391148 Condition = 1.7249308536e+00 A1 = 0.0438402724291015 delta = 0.0000001629685249 A2 = 0.0225071874473184 delta = -0.0000000144352255 x1 = 3602.7369182518223 delta = -0.0006144688053715 xdot = -49.509804967756480 delta = -0.0007173212386448 y1 = 3640.4759811923118 delta = 0.001704928771076 ydot = -24.9321895576634810 delta = -0.0006311227588137 x2 = 4022.0255275298327 delta = 0.001748283126502 par = -16.2565496497969590 delta = 0.0013373200082663 y2 = 4347.9249768314212 delta = -0.0010756357667875 fit = 0.0002811101351159 , tol = 0.00001 End of Iteration 7... Start of Iteration 8... SumPsiP = 0.603679, SumPsiPSq = 0.391236 Condition = 1.7249542313e+00 A1 = 0.043840280558 delta = 0.0000000081288986 A2 = 0.0225072096054987 delta = 0.00000002215818 x1 = 3602.7367922262924 delta = -0.0001260255300641 xdot = -49.5104675062096650 delta = -0.0006625384531865 y1 = 3640.4764238949597 delta = 0.0004427026477523 ydot = -24.9325699949022950 delta = -0.0003804372388143 x2 = 4022.0256200589229 delta = 0.0000925290902049 par = -16.2567393142765870 delta = -0.0001896644796278 y2 = 4347.9251878059049 delta = 0.0002109744840211 fit = 0.00004748466775 , tol = 0.00001 End of Iteration 8... Start of Iteration 9... SumPsiP = 0.603694, SumPsiPSq = 0.391253 Condition = 1.7249552195e+00 A1 = 0.0438402887916783 delta = 0.0000000082336782 A2 = 0.0225072063256148 delta = -0.0000000032798839 x1 = 3602.7367831122165 delta = -0.000009114075890 xdot = -49.5105074425243360 delta = -0.0000399363146690 y1 = 3640.4764813256593 delta = 0.0000574306993867 ydot = -24.9326112319777660 delta = -0.0000412370754723 x2 = 4022.0257107482362 delta = 0.0000906893134385 par = -16.2567139856607170 delta = 0.0000253286158682 y2 = 4347.9251178201484 delta = -0.0000699857568715 fit = 0.000012231150284 , tol = 0.00001 End of Iteration 9... Start of Iteration 10... SumPsiP = 0.603696, SumPsiPSq = 0.391256 Condition = 1.7249563880e+00 A1 = 0.0438402892183694 delta = 0.0000000004266911 A2 = 0.0225072069910789 delta = 0.0000000006654641 x1 = 3602.73677763369 delta = -0.0000054785260044 xdot = -49.5105372346126490 delta = -0.0000297920883145 y1 = 3640.4765013818646 delta = 0.0000200562052355 ydot = -24.932631694780230 delta = -0.0000204628024655 x2 = 4022.0257109138947 delta = 0.0000001656585227 par = -16.2567185590822270 delta = -0.0000045734215082 y2 = 4347.9251332620033 delta = 0.0000154418545082 fit = 0.0000022825643953 , tol = 0.00001 End of Iteration 10... Sigma Values Sigma A1 4.108704609636632e-04 Sigma A2 4.114208254535701e-04 Sigma x1 4.410365989363485e+00 Sigma xdot 5.242425276866346e+00 Sigma y1 6.995932912566782e+00 Sigma ydot 7.681653233406800e+00 Sigma x2 8.648711659528635e+00 Sigma par 8.795888247464264e+00 Sigma y2 1.337219950546351e+01 Correlation Matrix * 100 A1 A2 x1 xdot y1 ydot x2 par y2 A1 100 -61 1 5 -14 0 2 -2 -19 A2 100 -2 -5 17 0 0 3 16 x1 100 3 0 -6 59 -13 14 xdot 100 -10 8 11 2 -10 y1 100 -18 16 1 59 ydot 100 -10 -3 -1 x2 100 -13 -1 par 100 3 y2 100 ********************************************************************** If the input variances are real, the chi-square is correct and should be equivalent to the degrees of freedom(DOF). Otherwise, chi-square should be divided by a proportionality factor. ********************************************************************** Chi-Square = 3255.9767864936366 DOF = 1246