Initial estimates 206.819 25.739 BISECT FAILED Srt 0.01666 Gat 0.08539 Gbt 0.00000 Likelihood -1737.455 SSQ 85.898 AL -1823.353 Srt 0.00213 Gat 1.37439 Gbt 13.35441 Likelihood -2347.840 SSQ 257.423 AL -2605.263 Srt 0.00114 Gat 2.67035 Gbt 37.59922 Likelihood -2449.088 SSQ 408.071 AL -2857.159 Srt 0.00105 Gat 2.92330 Gbt 42.70214 Likelihood -2463.005 SSQ 447.986 AL -2910.991 Srt 0.00104 Gat 2.95134 Gbt 43.27140 Likelihood -2464.372 SSQ 457.593 AL -2921.965 Srt 0.00104 Gat 2.95420 Gbt 43.32962 Likelihood -2464.437 SSQ 459.541 AL -2923.978 Srt 0.00104 Gat 2.95449 Gbt 43.33551 Likelihood -2464.440 SSQ 459.901 AL -2924.341 Srt 0.00104 Gat 2.95452 Gbt 43.33611 Likelihood -2464.441 SSQ 459.967 AL -2924.408 Srt 0.00104 Gat 2.95452 Gbt 43.33617 Likelihood -2464.441 SSQ 459.984 AL -2924.425 Srt 0.00104 Gat 2.95452 Gbt 43.33618 Likelihood -2464.441 SSQ 459.991 AL -2924.431 Srt 0.00104 Gat 2.95452 Gbt 43.33618 Likelihood -2464.441 SSQ 459.994 AL -2924.435 Srt 0.00104 Gat 2.95452 Gbt 43.33618 Likelihood -2464.441 SSQ 459.996 AL -2924.437 Data in minimization i NP Eq Q Qa Qb T X2 Sr Sa Sb Total pressure Ruff & Mugdan 1 7 F F F F 1542. 0.113 0.036 0.009 1.754 Wartenberg & Albrecht 2 16 F T T T 1555. 0.164 0.032 0.055 0.212 Fiock & Rodebush 3 9 F T T T 1279. 0.121 0.032 0.055 0.212 Deitz 4 9 F T F T 896. 0.111 0.032 0.231 0.212 Barton & Bloom 5 11 T T T T 1402. 0.141 0.032 0.055 0.212 Pugh & Barrow 6 137 T T T T 880. 0.553 0.032 0.055 0.212 Novikov & Polyachenok 7 9 F T T T 1295. 0.161 0.032 0.055 0.212 Schrier & Clark 8 31 T T T T 1300. 0.225 0.032 0.055 0.212 Kushkin et al 9 10 T F F F 1246. 0.098 0.030 0.084 0.580 Barchuk & Dubovoi 10 6 F T T F 1313. 0.144 0.032 0.055 0.798 Burylev & Mironov 11 10 T F F F 1423. 0.129 0.031 0.151 2.636 Knudsen effusion Deitz 12 6 F T F T 926. 0.026 0.032 0.311 0.212 Mayer & Wintner 13 5 F T T F 923. 0.034 0.032 0.055 1.287 Zimm & Mayer 14 21 F F F F 766. 0.708 0.089 0.000 0.372 Bradley & Volans 1 15 14 F T T T 782. 0.220 0.032 0.055 0.212 Bradley & Volans 2 16 7 F T T T 812. 0.120 0.032 0.055 0.212 Bradley & Volans 3 17 6 F T T T 826. 0.101 0.032 0.055 0.212 Miller & Kusch 18 10 F T F T 924. 0.107 0.032 0.344 0.212 Nesmeyanov & Sazonov 19 7 F T T F 810. 0.199 0.032 0.055 0.513 Ewing & Stern 20 24 F F F F 901. 0.201 0.022 0.051 0.531 Kawano & Kenpo 1 21 11 F F F F 775. 0.337 0.041 0.401 0.797 Kawano & Kenpo 2 22 11 F T F T 780. 0.314 0.032 0.367 0.212 Kawano & Kenpo 3 23 10 F T F T 774. 0.289 0.032 0.320 0.212 van der Kemp et al 24 17 F F F F 899. 0.173 0.155 0.095 1.951 Transpiration Naryshkin 25 3 F F F F 1102. 0.096 0.049 0.145 0.091 Treadwell & Werner 26 13 F F F F 933. 0.211 0.018 0.243 0.568 Barton & Bloom 27 7 F T T T 1385. 0.099 0.032 0.055 0.212 Schrier & Clark 28 10 F T T T 1274. 0.130 0.032 0.055 0.212 Murgulescu & Marta 29 23 F T T T 1422. 0.076 0.032 0.055 0.212 19:08:54 DelSm 133.030 DelSdm 14.483 Iteration 1 WORK 0.0013253 8. 4.1 0.0025000 1. INFER = 1 IER = 0 206.818 25.741 Likelihood -2464.441 SSQ 459.996 AL -2924.437 Srt 0.00104 Gat 2.95558 Gbt 43.32349 Likelihood -2464.441 SSQ 459.995 AL -2924.436 Convergence 0.353757661874197D-003 The norm of the gradient 0.0013253 The number of function evaluation 8. The number of significant digits in parameters 4.1 The MARQUARDT scaling parameter 0.0025000 The number of iteration 1. INFER = 1 IER = 0 DelH1 DelH2 206.818 25.741 Sum of squares 459.9948 Number of points 460 Average standard deviation 1.0044 LINV3P - IER 0 Parameter sqrt(Cii) 206.82 0.17 25.74 0.97 Correlation matrix 1.000 -0.889 1.000 Data used in minimization i NP Eq Q Qa Qb T X2 Sr Sa Sb Total pressure Ruff & Mugdan 1 7 F F F F 1542. 0.113 0.036 0.009 1.754 Wartenberg & Albrecht 2 16 F T T T 1555. 0.164 0.032 0.055 0.212 Fiock & Rodebush 3 9 F T T T 1279. 0.121 0.032 0.055 0.212 Deitz 4 9 F T F T 896. 0.111 0.032 0.231 0.212 Barton & Bloom 5 11 T T T T 1402. 0.141 0.032 0.055 0.212 Pugh & Barrow 6 137 T T T T 880. 0.553 0.032 0.055 0.212 Novikov & Polyachenok 7 9 F T T T 1295. 0.161 0.032 0.055 0.212 Schrier & Clark 8 31 T T T T 1300. 0.225 0.032 0.055 0.212 Kushkin et al 9 10 T F F F 1246. 0.098 0.030 0.084 0.580 Barchuk & Dubovoi 10 6 F T T F 1313. 0.144 0.032 0.055 0.798 Burylev & Mironov 11 10 T F F F 1423. 0.129 0.031 0.151 2.636 Knudsen effusion Deitz 12 6 F T F T 926. 0.026 0.032 0.311 0.212 Mayer & Wintner 13 5 F T T F 923. 0.034 0.032 0.055 1.288 Zimm & Mayer 14 21 F F F F 766. 0.708 0.089 0.000 0.372 Bradley & Volans 1 15 14 F T T T 782. 0.220 0.032 0.055 0.212 Bradley & Volans 2 16 7 F T T T 812. 0.120 0.032 0.055 0.212 Bradley & Volans 3 17 6 F T T T 826. 0.101 0.032 0.055 0.212 Miller & Kusch 18 10 F T F T 924. 0.107 0.032 0.344 0.212 Nesmeyanov & Sazonov 19 7 F T T F 810. 0.199 0.032 0.055 0.513 Ewing & Stern 20 24 F F F F 901. 0.201 0.022 0.051 0.531 Kawano & Kenpo 1 21 11 F F F F 775. 0.337 0.041 0.401 0.797 Kawano & Kenpo 2 22 11 F T F T 780. 0.314 0.032 0.367 0.212 Kawano & Kenpo 3 23 10 F T F T 774. 0.289 0.032 0.320 0.212 van der Kemp et al 24 17 F F F F 899. 0.173 0.155 0.095 1.951 Transpiration Naryshkin 25 3 F F F F 1102. 0.096 0.049 0.145 0.093 Treadwell & Werner 26 13 F F F F 933. 0.211 0.018 0.243 0.568 Barton & Bloom 27 7 F T T T 1385. 0.099 0.032 0.055 0.212 Schrier & Clark 28 10 F T T T 1274. 0.130 0.032 0.055 0.212 Murgulescu & Marta 29 23 F T T T 1422. 0.076 0.032 0.055 0.212 ********************************************** ********************************************** 19:12:32 DelSm 133.530 DelSdm 20.803 The norm of the gradient 0.0000472 The number of function evaluation 18. The number of significant digits in parameters 5.0 The MARQUARDT scaling parameter 0.0000006 The number of iteration 7. INFER = 1 IER = 0 DelH1 DelH2 206.901 35.765 Sum of squares 463.2201 Number of points 460 Average standard deviation 1.0079 19:20:22 DelSm 133.530 DelSdm 8.163 The norm of the gradient 0.0000808 The number of function evaluation 31. The number of significant digits in parameters 5.0 The MARQUARDT scaling parameter 0.0000002 The number of iteration 11. INFER = 1 IER = 0 DelH1 DelH2 207.218 19.759 Sum of squares 478.0233 Number of points 460 Average standard deviation 1.0239 19:33:40 DelSm 132.530 DelSdm 8.163 The norm of the gradient 0.0003108 The number of function evaluation 49. The number of significant digits in parameters 4.7 The MARQUARDT scaling parameter 0.0000000 The number of iteration 12. INFER = 1 IER = 0 DelH1 DelH2 206.405 18.807 Sum of squares 523.0016 Number of points 460 Average standard deviation 1.0709 19:54:39 DelSm 132.530 DelSdm 20.803 The norm of the gradient 0.0000003 The number of function evaluation 25. The number of significant digits in parameters 9.4 The MARQUARDT scaling parameter 0.0000112 The number of iteration 8. INFER = 1 IER = 0 DelH1 DelH2 206.292 32.875 Sum of squares 452.2665 Number of points 460 Average standard deviation 0.9959 ********************************************** ********************************************** 20:34:46 DelSm 133.530 DelSdm 14.483 The norm of the gradient 0.0000029 The number of function evaluation 20. The number of significant digits in parameters 6.0 The MARQUARDT scaling parameter 0.0000031 The number of iteration 7. INFER = 1 IER = 0 DelH1 DelH2 207.139 26.850 Sum of squares 457.3958 Number of points 460 Average standard deviation 1.0015 20:43:22 DelSm 132.530 DelSdm 14.483 The norm of the gradient 0.0002030 The number of function evaluation 20. The number of significant digits in parameters 4.7 The MARQUARDT scaling parameter 0.0000010 The number of iteration 7. INFER = 1 IER = 0 DelH1 DelH2 206.490 24.791 Sum of squares 468.8052 Number of points 460 Average standard deviation 1.0139 20:51:58 DelSm 133.030 DelSdm 20.803 The norm of the gradient 0.0000016 The number of function evaluation 18. The number of significant digits in parameters 6.1 The MARQUARDT scaling parameter 0.0000006 The number of iteration 7. INFER = 1 IER = 0 DelH1 DelH2 206.596 34.223 Sum of squares 455.9974 Number of points 460 Average standard deviation 1.0000 20:59:48 DelSm 133.030 DelSdm 8.163 The norm of the gradient 0.0011246 The number of function evaluation 33. The number of significant digits in parameters 4.0 The MARQUARDT scaling parameter 0.0000000 The number of iteration 12. INFER = 1 IER = 0 DelH1 DelH2 206.817 19.237 Sum of squares 496.4079 Number of points 460 Average standard deviation 1.0434