Rev 3307 Rev 3315
1   1  
2   2  
3 ******************************************************************************* 3 *******************************************************************************
4 Tue Sep 17 09:07:41 2013 4 Tue Sep 17 09:07:41 2013
5   5  
6   6  
7 FIT: data read from "mereni_rozsahu.txt" using 1:2 7 FIT: data read from "mereni_rozsahu.txt" using 1:2
8 format = x:z 8 format = x:z
9 #datapoints = 5 9 #datapoints = 5
10 residuals are weighted equally (unit weight) 10 residuals are weighted equally (unit weight)
11   11  
12 function used for fitting: f(x) 12 function used for fitting: f(x)
13 fitted parameters initialized with current variable values 13 fitted parameters initialized with current variable values
14   14  
15   15  
16   16  
17 Iteration 0 17 Iteration 0
18 WSSR : 17494 delta(WSSR)/WSSR : 0 18 WSSR : 17494 delta(WSSR)/WSSR : 0
19 delta(WSSR) : 0 limit for stopping : 1e-05 19 delta(WSSR) : 0 limit for stopping : 1e-05
20 lambda : 338.148 20 lambda : 338.148
21   21  
22 initial set of free parameter values 22 initial set of free parameter values
23   23  
24 k = 1 24 k = 1
25 q = 1 25 q = 1
26   26  
27 After 7 iterations the fit converged. 27 After 7 iterations the fit converged.
28 final sum of squares of residuals : 5.26925 28 final sum of squares of residuals : 5.26925
29 rel. change during last iteration : -2.47107e-13 29 rel. change during last iteration : -2.47107e-13
30   30  
31 degrees of freedom (FIT_NDF) : 3 31 degrees of freedom (FIT_NDF) : 3
32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253
33 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642 33 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642
34   34  
35 Final set of parameters Asymptotic Standard Error 35 Final set of parameters Asymptotic Standard Error
36 ======================= ========================== 36 ======================= ==========================
37   37  
38 k = 0.830736 +/- 0.006088 (0.7329%) 38 k = 0.830736 +/- 0.006088 (0.7329%)
39 q = 23.4494 +/- 2.912 (12.42%) 39 q = 23.4494 +/- 2.912 (12.42%)
40   40  
41   41  
42 correlation matrix of the fit parameters: 42 correlation matrix of the fit parameters:
43   43  
44 k q 44 k q
45 k 1.000 45 k 1.000
46 q -0.979 1.000 46 q -0.979 1.000
47   47  
48   48  
49 ******************************************************************************* 49 *******************************************************************************
50 Tue Sep 17 09:08:22 2013 50 Tue Sep 17 09:08:22 2013
51   51  
52   52  
53 FIT: data read from "mereni_rozsahu.txt" using 1:2 53 FIT: data read from "mereni_rozsahu.txt" using 1:2
54 format = x:z 54 format = x:z
55 #datapoints = 5 55 #datapoints = 5
56 residuals are weighted equally (unit weight) 56 residuals are weighted equally (unit weight)
57   57  
58 function used for fitting: f(x) 58 function used for fitting: f(x)
59 fitted parameters initialized with current variable values 59 fitted parameters initialized with current variable values
60   60  
61   61  
62   62  
63 Iteration 0 63 Iteration 0
64 WSSR : 5.26925 delta(WSSR)/WSSR : 0 64 WSSR : 5.26925 delta(WSSR)/WSSR : 0
65 delta(WSSR) : 0 limit for stopping : 1e-05 65 delta(WSSR) : 0 limit for stopping : 1e-05
66 lambda : 338.148 66 lambda : 338.148
67   67  
68 initial set of free parameter values 68 initial set of free parameter values
69   69  
70 k = 0.830736 70 k = 0.830736
71 q = 23.4494 71 q = 23.4494
72   72  
73 After 1 iterations the fit converged. 73 After 1 iterations the fit converged.
74 final sum of squares of residuals : 5.26925 74 final sum of squares of residuals : 5.26925
75 rel. change during last iteration : 0 75 rel. change during last iteration : 0
76   76  
77 degrees of freedom (FIT_NDF) : 3 77 degrees of freedom (FIT_NDF) : 3
78 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253 78 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253
79 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642 79 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642
80   80  
81 Final set of parameters Asymptotic Standard Error 81 Final set of parameters Asymptotic Standard Error
82 ======================= ========================== 82 ======================= ==========================
83   83  
84 k = 0.830736 +/- 0.006088 (0.7329%) 84 k = 0.830736 +/- 0.006088 (0.7329%)
85 q = 23.4494 +/- 2.912 (12.42%) 85 q = 23.4494 +/- 2.912 (12.42%)
86   86  
87   87  
88 correlation matrix of the fit parameters: 88 correlation matrix of the fit parameters:
89   89  
90 k q 90 k q
91 k 1.000 91 k 1.000
92 q -0.979 1.000 92 q -0.979 1.000
93   93  
94   94  
95 ******************************************************************************* 95 *******************************************************************************
96 Sat Sep 28 13:10:43 2013 96 Sat Sep 28 13:10:43 2013
97   97  
98   98  
99 FIT: data read from "prevod.txt" using 1:2 99 FIT: data read from "prevod.txt" using 1:2
100 format = x:z 100 format = x:z
101 #datapoints = 54 101 #datapoints = 54
102 residuals are weighted equally (unit weight) 102 residuals are weighted equally (unit weight)
103   103  
104 function used for fitting: f(x) 104 function used for fitting: f(x)
105 fitted parameters initialized with current variable values 105 fitted parameters initialized with current variable values
106   106  
107   107  
108   108  
109 Iteration 0 109 Iteration 0
110 WSSR : 2.22513e+06 delta(WSSR)/WSSR : 0 110 WSSR : 2.22513e+06 delta(WSSR)/WSSR : 0
111 delta(WSSR) : 0 limit for stopping : 1e-05 111 delta(WSSR) : 0 limit for stopping : 1e-05
112 lambda : 331.595 112 lambda : 331.595
113   113  
114 initial set of free parameter values 114 initial set of free parameter values
115   115  
116 k = 1 116 k = 1
117 q = 1 117 q = 1
118   118  
119 After 6 iterations the fit converged. 119 After 6 iterations the fit converged.
120 final sum of squares of residuals : 28507.5 120 final sum of squares of residuals : 28507.5
121 rel. change during last iteration : -2.96705e-13 121 rel. change during last iteration : -2.96705e-13
122   122  
123 degrees of freedom (FIT_NDF) : 52 123 degrees of freedom (FIT_NDF) : 52
124 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 23.4141 124 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 23.4141
125 variance of residuals (reduced chisquare) = WSSR/ndf : 548.221 125 variance of residuals (reduced chisquare) = WSSR/ndf : 548.221
126   126  
127 Final set of parameters Asymptotic Standard Error 127 Final set of parameters Asymptotic Standard Error
128 ======================= ========================== 128 ======================= ==========================
129   129  
130 k = 0.318574 +/- 0.01093 (3.429%) 130 k = 0.318574 +/- 0.01093 (3.429%)
131 q = 216.846 +/- 5.123 (2.363%) 131 q = 216.846 +/- 5.123 (2.363%)
132   132  
133   133  
134 correlation matrix of the fit parameters: 134 correlation matrix of the fit parameters:
135   135  
136 k q 136 k q
137 k 1.000 137 k 1.000
138 q -0.783 1.000 138 q -0.783 1.000
139   139  
140   140  
141 ******************************************************************************* 141 *******************************************************************************
142 Sat Sep 28 13:12:08 2013 142 Sat Sep 28 13:12:08 2013
143   143  
144   144  
145 FIT: data read from "prevod.txt" using 1:2 145 FIT: data read from "prevod.txt" using 1:2
146 format = x:z 146 format = x:z
147 #datapoints = 54 147 #datapoints = 54
148 residuals are weighted equally (unit weight) 148 residuals are weighted equally (unit weight)
149   149  
150 function used for fitting: f(x) 150 function used for fitting: f(x)
151 fitted parameters initialized with current variable values 151 fitted parameters initialized with current variable values
152   152  
153   153  
154   154  
155 Iteration 0 155 Iteration 0
156 WSSR : 2.19293e+06 delta(WSSR)/WSSR : 0 156 WSSR : 2.19293e+06 delta(WSSR)/WSSR : 0
157 delta(WSSR) : 0 limit for stopping : 1e-05 157 delta(WSSR) : 0 limit for stopping : 1e-05
158 lambda : 331.595 158 lambda : 331.595
159   159  
160 initial set of free parameter values 160 initial set of free parameter values
161   161  
162 k = 1 162 k = 1
163 q = 1 163 q = 1
164   164  
165 After 6 iterations the fit converged. 165 After 6 iterations the fit converged.
166 final sum of squares of residuals : 28.4829 166 final sum of squares of residuals : 28.4829
167 rel. change during last iteration : -3.15335e-10 167 rel. change during last iteration : -3.15335e-10
168   168  
169 degrees of freedom (FIT_NDF) : 52 169 degrees of freedom (FIT_NDF) : 52
170 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.7401 170 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.7401
171 variance of residuals (reduced chisquare) = WSSR/ndf : 0.547748 171 variance of residuals (reduced chisquare) = WSSR/ndf : 0.547748
172   172  
173 Final set of parameters Asymptotic Standard Error 173 Final set of parameters Asymptotic Standard Error
174 ======================= ========================== 174 ======================= ==========================
175   175  
176 k = 0.316142 +/- 0.0003453 (0.1092%) 176 k = 0.316142 +/- 0.0003453 (0.1092%)
177 q = 223.294 +/- 0.1619 (0.07252%) 177 q = 223.294 +/- 0.1619 (0.07252%)
178   178  
179   179  
180 correlation matrix of the fit parameters: 180 correlation matrix of the fit parameters:
181   181  
182 k q 182 k q
183 k 1.000 183 k 1.000
184 q -0.783 1.000 184 q -0.783 1.000
-   185  
-   186  
-   187 *******************************************************************************
-   188 Sat Sep 28 14:13:04 2013
-   189  
-   190  
-   191 FIT: data read from "prevod.txt" using 1:2
-   192 format = x:z
-   193 #datapoints = 51
-   194 residuals are weighted equally (unit weight)
-   195  
-   196 function used for fitting: f(x)
-   197 fitted parameters initialized with current variable values
-   198  
-   199  
-   200  
-   201 Iteration 0
-   202 WSSR : 1.98874e+06 delta(WSSR)/WSSR : 0
-   203 delta(WSSR) : 0 limit for stopping : 1e-05
-   204 lambda : 341.201
-   205  
-   206 initial set of free parameter values
-   207  
-   208 k = 1
-   209 q = 1
-   210  
-   211 After 6 iterations the fit converged.
-   212 final sum of squares of residuals : 8408.23
-   213 rel. change during last iteration : -2.38703e-12
-   214  
-   215 degrees of freedom (FIT_NDF) : 49
-   216 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 13.0995
-   217 variance of residuals (reduced chisquare) = WSSR/ndf : 171.597
-   218  
-   219 Final set of parameters Asymptotic Standard Error
-   220 ======================= ==========================
-   221  
-   222 k = 0.335436 +/- 0.006401 (1.908%)
-   223 q = 208.341 +/- 3.089 (1.483%)
-   224  
-   225  
-   226 correlation matrix of the fit parameters:
-   227  
-   228 k q
-   229 k 1.000
-   230 q -0.805 1.000
-   231  
-   232  
-   233 *******************************************************************************
-   234 Sat Sep 28 14:13:43 2013
-   235  
-   236  
-   237 FIT: data read from "prevod.txt" using 1:2
-   238 format = x:z
-   239 #datapoints = 51
-   240 residuals are weighted equally (unit weight)
-   241  
-   242 function used for fitting: f(x)
-   243 fitted parameters initialized with current variable values
-   244  
-   245  
-   246  
-   247 Iteration 0
-   248 WSSR : 1.99894e+06 delta(WSSR)/WSSR : 0
-   249 delta(WSSR) : 0 limit for stopping : 1e-05
-   250 lambda : 341.201
-   251  
-   252 initial set of free parameter values
-   253  
-   254 k = 1
-   255 q = 1
-   256  
-   257 After 6 iterations the fit converged.
-   258 final sum of squares of residuals : 60.3904
-   259 rel. change during last iteration : -3.27692e-10
-   260  
-   261 degrees of freedom (FIT_NDF) : 49
-   262 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.11016
-   263 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23246
-   264  
-   265 Final set of parameters Asymptotic Standard Error
-   266 ======================= ==========================
-   267  
-   268 k = 0.333961 +/- 0.0005425 (0.1624%)
-   269 q = 206.952 +/- 0.2618 (0.1265%)
-   270  
-   271  
-   272 correlation matrix of the fit parameters:
-   273  
-   274 k q
-   275 k 1.000
-   276 q -0.805 1.000