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Projet du cours MPRI 2.24.2 "Résolution de problèmes d'optimisation avec heuristiques de recherche" : https://wikimpri.dptinfo.ens-cachan.fr/doku.php?id=cours:c-2-24-2
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MasterMind/data/fit.log

fit.log 104KB
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  1. 

  2. 

  3. *******************************************************************************

  4. Wed Jan 29 13:25:44 2020

  5. 

  6. 

  7. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  8.         format = x:z

  9.         #datapoints = 15

  10.         residuals are weighted equally (unit weight)

  11. 

  12. function used for fitting: f(x)

  13. 	f(x) = m*x + b

  14. fitted parameters initialized with current variable values

  15. 

  16. iter      chisq       delta/lim  lambda   m             b            

  17.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  18.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  19. 

  20. After 5 iterations the fit converged.

  21. final sum of squares of residuals : 0.659675

  22. rel. change during last iteration : -4.35893e-14

  23. 

  24. degrees of freedom    (FIT_NDF)                        : 13

  25. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  26. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  27. 

  28. Final set of parameters            Asymptotic Standard Error

  29. =======================            ==========================

  30. m               = -0.130367        +/- 0.01346      (10.33%)

  31. b               = 2.72151          +/- 0.1717       (6.309%)

  32. 

  33. correlation matrix of the fit parameters:

  34.                 m      b      

  35. m               1.000 

  36. b              -0.941  1.000 

  37. 

  38. 

  39. *******************************************************************************

  40. Wed Jan 29 13:25:51 2020

  41. 

  42. 

  43. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  44.         format = x:z

  45.         #datapoints = 15

  46.         residuals are weighted equally (unit weight)

  47. 

  48. function used for fitting: f(x)

  49. 	f(x) = m*x + b

  50. fitted parameters initialized with current variable values

  51. 

  52. iter      chisq       delta/lim  lambda   m             b            

  53.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  54.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  55. 

  56. After 5 iterations the fit converged.

  57. final sum of squares of residuals : 0.659675

  58. rel. change during last iteration : -4.35893e-14

  59. 

  60. degrees of freedom    (FIT_NDF)                        : 13

  61. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  62. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  63. 

  64. Final set of parameters            Asymptotic Standard Error

  65. =======================            ==========================

  66. m               = -0.130367        +/- 0.01346      (10.33%)

  67. b               = 2.72151          +/- 0.1717       (6.309%)

  68. 

  69. correlation matrix of the fit parameters:

  70.                 m      b      

  71. m               1.000 

  72. b              -0.941  1.000 

  73. 

  74. 

  75. *******************************************************************************

  76. Wed Jan 29 13:26:00 2020

  77. 

  78. 

  79. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  80.         format = x:z

  81.         #datapoints = 15

  82.         residuals are weighted equally (unit weight)

  83. 

  84. function used for fitting: f(x)

  85. 	f(x) = m*x + b

  86. fitted parameters initialized with current variable values

  87. 

  88. iter      chisq       delta/lim  lambda   m             b            

  89.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  90.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  91. 

  92. After 5 iterations the fit converged.

  93. final sum of squares of residuals : 0.659675

  94. rel. change during last iteration : -4.35893e-14

  95. 

  96. degrees of freedom    (FIT_NDF)                        : 13

  97. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  98. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  99. 

  100. Final set of parameters            Asymptotic Standard Error

  101. =======================            ==========================

  102. m               = -0.130367        +/- 0.01346      (10.33%)

  103. b               = 2.72151          +/- 0.1717       (6.309%)

  104. 

  105. correlation matrix of the fit parameters:

  106.                 m      b      

  107. m               1.000 

  108. b              -0.941  1.000 

  109. 

  110. 

  111. *******************************************************************************

  112. Wed Jan 29 13:26:42 2020

  113. 

  114. 

  115. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  116.         format = x:z

  117.         #datapoints = 15

  118.         residuals are weighted equally (unit weight)

  119. 

  120. function used for fitting: f(x)

  121. 	f(x) = m*x + b

  122. fitted parameters initialized with current variable values

  123. 

  124. iter      chisq       delta/lim  lambda   m             b            

  125.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  126.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  127. 

  128. After 5 iterations the fit converged.

  129. final sum of squares of residuals : 0.659675

  130. rel. change during last iteration : -4.35893e-14

  131. 

  132. degrees of freedom    (FIT_NDF)                        : 13

  133. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  134. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  135. 

  136. Final set of parameters            Asymptotic Standard Error

  137. =======================            ==========================

  138. m               = -0.130367        +/- 0.01346      (10.33%)

  139. b               = 2.72151          +/- 0.1717       (6.309%)

  140. 

  141. correlation matrix of the fit parameters:

  142.                 m      b      

  143. m               1.000 

  144. b              -0.941  1.000 

  145. 

  146. 

  147. *******************************************************************************

  148. Wed Jan 29 13:26:45 2020

  149. 

  150. 

  151. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  152.         format = x:z

  153.         #datapoints = 15

  154.         residuals are weighted equally (unit weight)

  155. 

  156. function used for fitting: f(x)

  157. 	f(x) = m*x + b

  158. fitted parameters initialized with current variable values

  159. 

  160. iter      chisq       delta/lim  lambda   m             b            

  161.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  162.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  163. 

  164. After 5 iterations the fit converged.

  165. final sum of squares of residuals : 0.659675

  166. rel. change during last iteration : -4.35893e-14

  167. 

  168. degrees of freedom    (FIT_NDF)                        : 13

  169. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  170. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  171. 

  172. Final set of parameters            Asymptotic Standard Error

  173. =======================            ==========================

  174. m               = -0.130367        +/- 0.01346      (10.33%)

  175. b               = 2.72151          +/- 0.1717       (6.309%)

  176. 

  177. correlation matrix of the fit parameters:

  178.                 m      b      

  179. m               1.000 

  180. b              -0.941  1.000 

  181. 

  182. 

  183. *******************************************************************************

  184. Wed Jan 29 13:27:00 2020

  185. 

  186. 

  187. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  188.         format = x:z

  189.         #datapoints = 15

  190.         residuals are weighted equally (unit weight)

  191. 

  192. function used for fitting: f(x)

  193. 	f(x) = m*x + b

  194. fitted parameters initialized with current variable values

  195. 

  196. iter      chisq       delta/lim  lambda   m             b            

  197.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  198.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  199. 

  200. After 5 iterations the fit converged.

  201. final sum of squares of residuals : 0.659675

  202. rel. change during last iteration : -4.35893e-14

  203. 

  204. degrees of freedom    (FIT_NDF)                        : 13

  205. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  206. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  207. 

  208. Final set of parameters            Asymptotic Standard Error

  209. =======================            ==========================

  210. m               = -0.130367        +/- 0.01346      (10.33%)

  211. b               = 2.72151          +/- 0.1717       (6.309%)

  212. 

  213. correlation matrix of the fit parameters:

  214.                 m      b      

  215. m               1.000 

  216. b              -0.941  1.000 

  217. 

  218. 

  219. *******************************************************************************

  220. Wed Jan 29 13:27:38 2020

  221. 

  222. 

  223. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  224.         format = x:z

  225.         #datapoints = 15

  226.         residuals are weighted equally (unit weight)

  227. 

  228. function used for fitting: f(x)

  229. 	f(x) = m*x + b

  230. fitted parameters initialized with current variable values

  231. 

  232. iter      chisq       delta/lim  lambda   m             b            

  233.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  234.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  235. 

  236. After 5 iterations the fit converged.

  237. final sum of squares of residuals : 0.659675

  238. rel. change during last iteration : -4.35893e-14

  239. 

  240. degrees of freedom    (FIT_NDF)                        : 13

  241. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  242. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  243. 

  244. Final set of parameters            Asymptotic Standard Error

  245. =======================            ==========================

  246. m               = -0.130367        +/- 0.01346      (10.33%)

  247. b               = 2.72151          +/- 0.1717       (6.309%)

  248. 

  249. correlation matrix of the fit parameters:

  250.                 m      b      

  251. m               1.000 

  252. b              -0.941  1.000 

  253. 

  254. 

  255. *******************************************************************************

  256. Wed Jan 29 13:28:51 2020

  257. 

  258. 

  259. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  260.         format = x:z

  261.         #datapoints = 15

  262.         residuals are weighted equally (unit weight)

  263. 

  264. function used for fitting: f(x)

  265. 	f(x) = m*x + b

  266. fitted parameters initialized with current variable values

  267. 

  268. iter      chisq       delta/lim  lambda   m             b            

  269.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  270.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  271. 

  272. After 5 iterations the fit converged.

  273. final sum of squares of residuals : 0.659675

  274. rel. change during last iteration : -4.35893e-14

  275. 

  276. degrees of freedom    (FIT_NDF)                        : 13

  277. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  278. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  279. 

  280. Final set of parameters            Asymptotic Standard Error

  281. =======================            ==========================

  282. m               = -0.130367        +/- 0.01346      (10.33%)

  283. b               = 2.72151          +/- 0.1717       (6.309%)

  284. 

  285. correlation matrix of the fit parameters:

  286.                 m      b      

  287. m               1.000 

  288. b              -0.941  1.000 

  289. 

  290. 

  291. *******************************************************************************

  292. Wed Jan 29 13:28:57 2020

  293. 

  294. 

  295. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  296.         format = x:z

  297.         #datapoints = 15

  298.         residuals are weighted equally (unit weight)

  299. 

  300. function used for fitting: f(x)

  301. 	f(x) = m*x + b

  302. fitted parameters initialized with current variable values

  303. 

  304. iter      chisq       delta/lim  lambda   m             b            

  305.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  306.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  307. 

  308. After 5 iterations the fit converged.

  309. final sum of squares of residuals : 0.659675

  310. rel. change during last iteration : -4.35893e-14

  311. 

  312. degrees of freedom    (FIT_NDF)                        : 13

  313. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  314. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  315. 

  316. Final set of parameters            Asymptotic Standard Error

  317. =======================            ==========================

  318. m               = -0.130367        +/- 0.01346      (10.33%)

  319. b               = 2.72151          +/- 0.1717       (6.309%)

  320. 

  321. correlation matrix of the fit parameters:

  322.                 m      b      

  323. m               1.000 

  324. b              -0.941  1.000 

  325. 

  326. 

  327. *******************************************************************************

  328. Wed Jan 29 13:29:45 2020

  329. 

  330. 

  331. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  332.         format = x:z

  333.         #datapoints = 15

  334.         residuals are weighted equally (unit weight)

  335. 

  336. function used for fitting: f1(x)

  337. 	f1(x) = m1*x + b1

  338. fitted parameters initialized with current variable values

  339. 

  340. iter      chisq       delta/lim  lambda   m1            b1           

  341.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  342.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  343. 

  344. After 5 iterations the fit converged.

  345. final sum of squares of residuals : 0.659675

  346. rel. change during last iteration : -4.35893e-14

  347. 

  348. degrees of freedom    (FIT_NDF)                        : 13

  349. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  350. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  351. 

  352. Final set of parameters            Asymptotic Standard Error

  353. =======================            ==========================

  354. m1              = -0.130367        +/- 0.01346      (10.33%)

  355. b1              = 2.72151          +/- 0.1717       (6.309%)

  356. 

  357. correlation matrix of the fit parameters:

  358.                 m1     b1     

  359. m1              1.000 

  360. b1             -0.941  1.000 

  361. 

  362. 

  363. *******************************************************************************

  364. Wed Jan 29 13:30:44 2020

  365. 

  366. 

  367. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  368.         format = x:z

  369.         #datapoints = 15

  370.         residuals are weighted equally (unit weight)

  371. 

  372. function used for fitting: f1(x)

  373. 	f1(x) = m1*x + b1

  374. fitted parameters initialized with current variable values

  375. 

  376. iter      chisq       delta/lim  lambda   m1            b1           

  377.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  378.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  379. 

  380. After 5 iterations the fit converged.

  381. final sum of squares of residuals : 0.659675

  382. rel. change during last iteration : -4.35893e-14

  383. 

  384. degrees of freedom    (FIT_NDF)                        : 13

  385. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  386. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  387. 

  388. Final set of parameters            Asymptotic Standard Error

  389. =======================            ==========================

  390. m1              = -0.130367        +/- 0.01346      (10.33%)

  391. b1              = 2.72151          +/- 0.1717       (6.309%)

  392. 

  393. correlation matrix of the fit parameters:

  394.                 m1     b1     

  395. m1              1.000 

  396. b1             -0.941  1.000 

  397. 

  398. 

  399. *******************************************************************************

  400. Wed Jan 29 13:30:44 2020

  401. 

  402. 

  403. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  404.         format = x:z

  405.         #datapoints = 15

  406.         residuals are weighted equally (unit weight)

  407. 

  408. function used for fitting: f2(x)

  409. 	f2(x) = m2*x + b2

  410. fitted parameters initialized with current variable values

  411. 

  412. iter      chisq       delta/lim  lambda   m2            b2           

  413.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  414.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  415. 

  416. After 5 iterations the fit converged.

  417. final sum of squares of residuals : 0.659675

  418. rel. change during last iteration : -4.35893e-14

  419. 

  420. degrees of freedom    (FIT_NDF)                        : 13

  421. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  422. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  423. 

  424. Final set of parameters            Asymptotic Standard Error

  425. =======================            ==========================

  426. m2              = -0.130367        +/- 0.01346      (10.33%)

  427. b2              = 2.72151          +/- 0.1717       (6.309%)

  428. 

  429. correlation matrix of the fit parameters:

  430.                 m2     b2     

  431. m2              1.000 

  432. b2             -0.941  1.000 

  433. 

  434. 

  435. *******************************************************************************

  436. Wed Jan 29 13:30:44 2020

  437. 

  438. 

  439. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  440.         format = x:z

  441.         #datapoints = 15

  442.         residuals are weighted equally (unit weight)

  443. 

  444. function used for fitting: f3(x)

  445. 	f3(x) = m3*x + b3

  446. fitted parameters initialized with current variable values

  447. 

  448. iter      chisq       delta/lim  lambda   m3            b3           

  449.    0 2.3090672245e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  450.    5 2.1876665629e+00  -5.18e-09  9.05e-05   -2.258230e-01   4.496373e+00

  451. 

  452. After 5 iterations the fit converged.

  453. final sum of squares of residuals : 2.18767

  454. rel. change during last iteration : -5.17642e-14

  455. 

  456. degrees of freedom    (FIT_NDF)                        : 13

  457. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.410222

  458. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.168282

  459. 

  460. Final set of parameters            Asymptotic Standard Error

  461. =======================            ==========================

  462. m3              = -0.225823        +/- 0.02452      (10.86%)

  463. b3              = 4.49637          +/- 0.3127       (6.954%)

  464. 

  465. correlation matrix of the fit parameters:

  466.                 m3     b3     

  467. m3              1.000 

  468. b3             -0.941  1.000 

  469. 

  470. 

  471. *******************************************************************************

  472. Wed Jan 29 13:30:46 2020

  473. 

  474. 

  475. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  476.         format = x:z

  477.         #datapoints = 15

  478.         residuals are weighted equally (unit weight)

  479. 

  480. function used for fitting: f1(x)

  481. 	f1(x) = m1*x + b1

  482. fitted parameters initialized with current variable values

  483. 

  484. iter      chisq       delta/lim  lambda   m1            b1           

  485.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  486.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  487. 

  488. After 5 iterations the fit converged.

  489. final sum of squares of residuals : 0.659675

  490. rel. change during last iteration : -4.35893e-14

  491. 

  492. degrees of freedom    (FIT_NDF)                        : 13

  493. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  494. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  495. 

  496. Final set of parameters            Asymptotic Standard Error

  497. =======================            ==========================

  498. m1              = -0.130367        +/- 0.01346      (10.33%)

  499. b1              = 2.72151          +/- 0.1717       (6.309%)

  500. 

  501. correlation matrix of the fit parameters:

  502.                 m1     b1     

  503. m1              1.000 

  504. b1             -0.941  1.000 

  505. 

  506. 

  507. *******************************************************************************

  508. Wed Jan 29 13:30:46 2020

  509. 

  510. 

  511. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  512.         format = x:z

  513.         #datapoints = 15

  514.         residuals are weighted equally (unit weight)

  515. 

  516. function used for fitting: f2(x)

  517. 	f2(x) = m2*x + b2

  518. fitted parameters initialized with current variable values

  519. 

  520. iter      chisq       delta/lim  lambda   m2            b2           

  521.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  522.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  523. 

  524. After 5 iterations the fit converged.

  525. final sum of squares of residuals : 0.659675

  526. rel. change during last iteration : -4.35893e-14

  527. 

  528. degrees of freedom    (FIT_NDF)                        : 13

  529. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  530. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  531. 

  532. Final set of parameters            Asymptotic Standard Error

  533. =======================            ==========================

  534. m2              = -0.130367        +/- 0.01346      (10.33%)

  535. b2              = 2.72151          +/- 0.1717       (6.309%)

  536. 

  537. correlation matrix of the fit parameters:

  538.                 m2     b2     

  539. m2              1.000 

  540. b2             -0.941  1.000 

  541. 

  542. 

  543. *******************************************************************************

  544. Wed Jan 29 13:30:46 2020

  545. 

  546. 

  547. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  548.         format = x:z

  549.         #datapoints = 15

  550.         residuals are weighted equally (unit weight)

  551. 

  552. function used for fitting: f3(x)

  553. 	f3(x) = m3*x + b3

  554. fitted parameters initialized with current variable values

  555. 

  556. iter      chisq       delta/lim  lambda   m3            b3           

  557.    0 2.3090672245e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  558.    5 2.1876665629e+00  -5.18e-09  9.05e-05   -2.258230e-01   4.496373e+00

  559. 

  560. After 5 iterations the fit converged.

  561. final sum of squares of residuals : 2.18767

  562. rel. change during last iteration : -5.17642e-14

  563. 

  564. degrees of freedom    (FIT_NDF)                        : 13

  565. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.410222

  566. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.168282

  567. 

  568. Final set of parameters            Asymptotic Standard Error

  569. =======================            ==========================

  570. m3              = -0.225823        +/- 0.02452      (10.86%)

  571. b3              = 4.49637          +/- 0.3127       (6.954%)

  572. 

  573. correlation matrix of the fit parameters:

  574.                 m3     b3     

  575. m3              1.000 

  576. b3             -0.941  1.000 

  577. 

  578. 

  579. *******************************************************************************

  580. Wed Jan 29 13:31:15 2020

  581. 

  582. 

  583. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  584.         format = x:z

  585.         #datapoints = 15

  586.         residuals are weighted equally (unit weight)

  587. 

  588. function used for fitting: f1(x)

  589. 	f1(x) = m1*x + b1

  590. fitted parameters initialized with current variable values

  591. 

  592. iter      chisq       delta/lim  lambda   m1            b1           

  593.    0 2.4622363642e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  594.    5 6.5967457109e-01  -4.36e-09  9.05e-05   -1.303673e-01   2.721513e+00

  595. 

  596. After 5 iterations the fit converged.

  597. final sum of squares of residuals : 0.659675

  598. rel. change during last iteration : -4.35893e-14

  599. 

  600. degrees of freedom    (FIT_NDF)                        : 13

  601. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.225265

  602. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0507442

  603. 

  604. Final set of parameters            Asymptotic Standard Error

  605. =======================            ==========================

  606. m1              = -0.130367        +/- 0.01346      (10.33%)

  607. b1              = 2.72151          +/- 0.1717       (6.309%)

  608. 

  609. correlation matrix of the fit parameters:

  610.                 m1     b1     

  611. m1              1.000 

  612. b1             -0.941  1.000 

  613. 

  614. 

  615. *******************************************************************************

  616. Wed Jan 29 13:31:15 2020

  617. 

  618. 

  619. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  620.         format = x:z

  621.         #datapoints = 15

  622.         residuals are weighted equally (unit weight)

  623. 

  624. function used for fitting: f2(x)

  625. 	f2(x) = m2*x + b2

  626. fitted parameters initialized with current variable values

  627. 

  628. iter      chisq       delta/lim  lambda   m2            b2           

  629.    0 2.3090672245e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  630.    5 2.1876665629e+00  -5.18e-09  9.05e-05   -2.258230e-01   4.496373e+00

  631. 

  632. After 5 iterations the fit converged.

  633. final sum of squares of residuals : 2.18767

  634. rel. change during last iteration : -5.17642e-14

  635. 

  636. degrees of freedom    (FIT_NDF)                        : 13

  637. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.410222

  638. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.168282

  639. 

  640. Final set of parameters            Asymptotic Standard Error

  641. =======================            ==========================

  642. m2              = -0.225823        +/- 0.02452      (10.86%)

  643. b2              = 4.49637          +/- 0.3127       (6.954%)

  644. 

  645. correlation matrix of the fit parameters:

  646.                 m2     b2     

  647. m2              1.000 

  648. b2             -0.941  1.000 

  649. 

  650. 

  651. *******************************************************************************

  652. Wed Jan 29 13:31:15 2020

  653. 

  654. 

  655. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  656.         format = x:z

  657.         #datapoints = 15

  658.         residuals are weighted equally (unit weight)

  659. 

  660. function used for fitting: f3(x)

  661. 	f3(x) = m3*x + b3

  662. fitted parameters initialized with current variable values

  663. 

  664. iter      chisq       delta/lim  lambda   m3            b3           

  665.    0 2.1520503820e+03   0.00e+00  9.05e+00    1.000000e+00   1.000000e+00

  666.    5 1.5550969595e+00  -1.17e-08  9.05e-05   -2.598467e-01   5.453341e+00

  667. 

  668. After 5 iterations the fit converged.

  669. final sum of squares of residuals : 1.5551

  670. rel. change during last iteration : -1.17227e-13

  671. 

  672. degrees of freedom    (FIT_NDF)                        : 13

  673. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.345865

  674. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.119623

  675. 

  676. Final set of parameters            Asymptotic Standard Error

  677. =======================            ==========================

  678. m3              = -0.259847        +/- 0.02067      (7.954%)

  679. b3              = 5.45334          +/- 0.2636       (4.834%)

  680. 

  681. correlation matrix of the fit parameters:

  682.                 m3     b3     

  683. m3              1.000 

  684. b3             -0.941  1.000 

  685. 

  686. 

  687. *******************************************************************************

  688. Wed Jan 29 13:33:31 2020

  689. 

  690. 

  691. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  692.         format = x:z

  693.         #datapoints = 99

  694.         residuals are weighted equally (unit weight)

  695. 

  696. function used for fitting: f1(x)

  697. 	f1(x) = m1*x + b1

  698. fitted parameters initialized with current variable values

  699. 

  700. iter      chisq       delta/lim  lambda   m1            b1           

  701.    0 3.3200638587e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00

  702.    4 1.1449527194e+01  -3.91e-01  4.13e-03    1.658044e-02   5.216569e-01

  703. 

  704. After 4 iterations the fit converged.

  705. final sum of squares of residuals : 11.4495

  706. rel. change during last iteration : -3.91428e-06

  707. 

  708. degrees of freedom    (FIT_NDF)                        : 97

  709. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.343564

  710. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.118036

  711. 

  712. Final set of parameters            Asymptotic Standard Error

  713. =======================            ==========================

  714. m1              = 0.0165804        +/- 0.001208     (7.287%)

  715. b1              = 0.521657         +/- 0.07064      (13.54%)

  716. 

  717. correlation matrix of the fit parameters:

  718.                 m1     b1     

  719. m1              1.000 

  720. b1             -0.872  1.000 

  721. 

  722. 

  723. *******************************************************************************

  724. Wed Jan 29 13:33:31 2020

  725. 

  726. 

  727. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  728.         format = x:z

  729.         #datapoints = 99

  730.         residuals are weighted equally (unit weight)

  731. 

  732. function used for fitting: f2(x)

  733. 	f2(x) = m2*x + b2

  734. fitted parameters initialized with current variable values

  735. 

  736. iter      chisq       delta/lim  lambda   m2            b2           

  737.    0 3.1655257107e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00

  738.    4 4.7803840605e+01  -2.58e-02  4.13e-03    3.666389e-02   7.425139e-01

  739. 

  740. After 4 iterations the fit converged.

  741. final sum of squares of residuals : 47.8038

  742. rel. change during last iteration : -2.57732e-07

  743. 

  744. degrees of freedom    (FIT_NDF)                        : 97

  745. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.702014

  746. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.492823

  747. 

  748. Final set of parameters            Asymptotic Standard Error

  749. =======================            ==========================

  750. m2              = 0.0366639        +/- 0.002469     (6.734%)

  751. b2              = 0.742514         +/- 0.1443       (19.44%)

  752. 

  753. correlation matrix of the fit parameters:

  754.                 m2     b2     

  755. m2              1.000 

  756. b2             -0.872  1.000 

  757. 

  758. 

  759. *******************************************************************************

  760. Wed Jan 29 13:33:31 2020

  761. 

  762. 

  763. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  764.         format = x:z

  765.         #datapoints = 99

  766.         residuals are weighted equally (unit weight)

  767. 

  768. function used for fitting: f3(x)

  769. 	f3(x) = m3*x + b3

  770. fitted parameters initialized with current variable values

  771. 

  772. iter      chisq       delta/lim  lambda   m3            b3           

  773.    0 3.1084249831e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00

  774.    4 5.6282156098e+01  -8.01e-02  4.13e-03    3.488116e-02   1.450507e+00

  775. 

  776. After 4 iterations the fit converged.

  777. final sum of squares of residuals : 56.2822

  778. rel. change during last iteration : -8.00559e-07

  779. 

  780. degrees of freedom    (FIT_NDF)                        : 97

  781. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.761727

  782. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.580228

  783. 

  784. Final set of parameters            Asymptotic Standard Error

  785. =======================            ==========================

  786. m3              = 0.0348812        +/- 0.002679     (7.68%)

  787. b3              = 1.45051          +/- 0.1566       (10.8%)

  788. 

  789. correlation matrix of the fit parameters:

  790.                 m3     b3     

  791. m3              1.000 

  792. b3             -0.872  1.000 

  793. 

  794. 

  795. *******************************************************************************

  796. Wed Jan 29 13:41:15 2020

  797. 

  798. 

  799. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  800.         format = x:z

  801.         #datapoints = 36

  802.         residuals are weighted equally (unit weight)

  803. 

  804. function used for fitting: f1(x)

  805. 	f1(x) = m1*x + b1

  806. fitted parameters initialized with current variable values

  807. 

  808. iter      chisq       delta/lim  lambda   m1            b1           

  809.    0 2.2033311643e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  810.    5 2.0393584853e-01  -2.24e-08  1.75e-04    4.442461e-02  -1.598591e-01

  811. 

  812. After 5 iterations the fit converged.

  813. final sum of squares of residuals : 0.203936

  814. rel. change during last iteration : -2.23748e-13

  815. 

  816. degrees of freedom    (FIT_NDF)                        : 34

  817. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0774475

  818. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00599811

  819. 

  820. Final set of parameters            Asymptotic Standard Error

  821. =======================            ==========================

  822. m1              = 0.0444246        +/- 0.001243     (2.797%)

  823. b1              = -0.159859        +/- 0.03079      (19.26%)

  824. 

  825. correlation matrix of the fit parameters:

  826.                 m1     b1     

  827. m1              1.000 

  828. b1             -0.908  1.000 

  829. 

  830. 

  831. *******************************************************************************

  832. Wed Jan 29 13:41:15 2020

  833. 

  834. 

  835. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  836.         format = x:z

  837.         #datapoints = 36

  838.         residuals are weighted equally (unit weight)

  839. 

  840. function used for fitting: f2(x)

  841. 	f2(x) = m2*x + b2

  842. fitted parameters initialized with current variable values

  843. 

  844. iter      chisq       delta/lim  lambda   m2            b2           

  845.    0 2.1068049924e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  846.    4 2.2243212655e+00  -9.22e-01  1.75e-03    6.783997e-02  -1.937317e-01

  847. 

  848. After 4 iterations the fit converged.

  849. final sum of squares of residuals : 2.22432

  850. rel. change during last iteration : -9.21847e-06

  851. 

  852. degrees of freedom    (FIT_NDF)                        : 34

  853. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.255776

  854. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0654212

  855. 

  856. Final set of parameters            Asymptotic Standard Error

  857. =======================            ==========================

  858. m2              = 0.06784          +/- 0.004104     (6.049%)

  859. b2              = -0.193732        +/- 0.1017       (52.49%)

  860. 

  861. correlation matrix of the fit parameters:

  862.                 m2     b2     

  863. m2              1.000 

  864. b2             -0.908  1.000 

  865. 

  866. 

  867. *******************************************************************************

  868. Wed Jan 29 13:41:15 2020

  869. 

  870. 

  871. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  872.         format = x:z

  873.         #datapoints = 36

  874.         residuals are weighted equally (unit weight)

  875. 

  876. function used for fitting: f3(x)

  877. 	f3(x) = m3*x + b3

  878. fitted parameters initialized with current variable values

  879. 

  880. iter      chisq       delta/lim  lambda   m3            b3           

  881.    0 1.9466043849e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  882.    5 6.6884219201e-01  -8.40e-09  1.75e-04    1.088134e-01  -2.789369e-01

  883. 

  884. After 5 iterations the fit converged.

  885. final sum of squares of residuals : 0.668842

  886. rel. change during last iteration : -8.39918e-14

  887. 

  888. degrees of freedom    (FIT_NDF)                        : 34

  889. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.140256

  890. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0196718

  891. 

  892. Final set of parameters            Asymptotic Standard Error

  893. =======================            ==========================

  894. m3              = 0.108813         +/- 0.00225      (2.068%)

  895. b3              = -0.278937        +/- 0.05577      (19.99%)

  896. 

  897. correlation matrix of the fit parameters:

  898.                 m3     b3     

  899. m3              1.000 

  900. b3             -0.908  1.000 

  901. 

  902. 

  903. *******************************************************************************

  904. Wed Jan 29 13:41:42 2020

  905. 

  906. 

  907. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  908.         format = x:z

  909.         #datapoints = 36

  910.         residuals are weighted equally (unit weight)

  911. 

  912. function used for fitting: f1(x)

  913. 	f1(x) = m1*x + b1

  914. fitted parameters initialized with current variable values

  915. 

  916. iter      chisq       delta/lim  lambda   m1            b1           

  917.    0 2.2033311643e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  918.    5 2.0393584853e-01  -2.24e-08  1.75e-04    4.442461e-02  -1.598591e-01

  919. 

  920. After 5 iterations the fit converged.

  921. final sum of squares of residuals : 0.203936

  922. rel. change during last iteration : -2.23748e-13

  923. 

  924. degrees of freedom    (FIT_NDF)                        : 34

  925. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0774475

  926. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00599811

  927. 

  928. Final set of parameters            Asymptotic Standard Error

  929. =======================            ==========================

  930. m1              = 0.0444246        +/- 0.001243     (2.797%)

  931. b1              = -0.159859        +/- 0.03079      (19.26%)

  932. 

  933. correlation matrix of the fit parameters:

  934.                 m1     b1     

  935. m1              1.000 

  936. b1             -0.908  1.000 

  937. 

  938. 

  939. *******************************************************************************

  940. Wed Jan 29 13:41:42 2020

  941. 

  942. 

  943. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  944.         format = x:z

  945.         #datapoints = 36

  946.         residuals are weighted equally (unit weight)

  947. 

  948. function used for fitting: f2(x)

  949. 	f2(x) = m2*x + b2

  950. fitted parameters initialized with current variable values

  951. 

  952. iter      chisq       delta/lim  lambda   m2            b2           

  953.    0 2.1068049924e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  954.    4 2.2243212655e+00  -9.22e-01  1.75e-03    6.783997e-02  -1.937317e-01

  955. 

  956. After 4 iterations the fit converged.

  957. final sum of squares of residuals : 2.22432

  958. rel. change during last iteration : -9.21847e-06

  959. 

  960. degrees of freedom    (FIT_NDF)                        : 34

  961. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.255776

  962. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0654212

  963. 

  964. Final set of parameters            Asymptotic Standard Error

  965. =======================            ==========================

  966. m2              = 0.06784          +/- 0.004104     (6.049%)

  967. b2              = -0.193732        +/- 0.1017       (52.49%)

  968. 

  969. correlation matrix of the fit parameters:

  970.                 m2     b2     

  971. m2              1.000 

  972. b2             -0.908  1.000 

  973. 

  974. 

  975. *******************************************************************************

  976. Wed Jan 29 13:41:42 2020

  977. 

  978. 

  979. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  980.         format = x:z

  981.         #datapoints = 36

  982.         residuals are weighted equally (unit weight)

  983. 

  984. function used for fitting: f3(x)

  985. 	f3(x) = m3*x + b3

  986. fitted parameters initialized with current variable values

  987. 

  988. iter      chisq       delta/lim  lambda   m3            b3           

  989.    0 1.9466043849e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  990.    5 6.6884219201e-01  -8.40e-09  1.75e-04    1.088134e-01  -2.789369e-01

  991. 

  992. After 5 iterations the fit converged.

  993. final sum of squares of residuals : 0.668842

  994. rel. change during last iteration : -8.39918e-14

  995. 

  996. degrees of freedom    (FIT_NDF)                        : 34

  997. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.140256

  998. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0196718

  999. 

  1000. Final set of parameters            Asymptotic Standard Error

  1001. =======================            ==========================

  1002. m3              = 0.108813         +/- 0.00225      (2.068%)

  1003. b3              = -0.278937        +/- 0.05577      (19.99%)

  1004. 

  1005. correlation matrix of the fit parameters:

  1006.                 m3     b3     

  1007. m3              1.000 

  1008. b3             -0.908  1.000 

  1009. 

  1010. 

  1011. *******************************************************************************

  1012. Wed Jan 29 13:42:41 2020

  1013. 

  1014. 

  1015. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1016.         format = x:z

  1017.         #datapoints = 36

  1018.         residuals are weighted equally (unit weight)

  1019. 

  1020. function used for fitting: f1(x)

  1021. 	f1(x) = m1*x + b1

  1022. fitted parameters initialized with current variable values

  1023. 

  1024. iter      chisq       delta/lim  lambda   m1            b1           

  1025.    0 2.2033311643e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  1026.    5 2.0393584853e-01  -2.24e-08  1.75e-04    4.442461e-02  -1.598591e-01

  1027. 

  1028. After 5 iterations the fit converged.

  1029. final sum of squares of residuals : 0.203936

  1030. rel. change during last iteration : -2.23748e-13

  1031. 

  1032. degrees of freedom    (FIT_NDF)                        : 34

  1033. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0774475

  1034. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00599811

  1035. 

  1036. Final set of parameters            Asymptotic Standard Error

  1037. =======================            ==========================

  1038. m1              = 0.0444246        +/- 0.001243     (2.797%)

  1039. b1              = -0.159859        +/- 0.03079      (19.26%)

  1040. 

  1041. correlation matrix of the fit parameters:

  1042.                 m1     b1     

  1043. m1              1.000 

  1044. b1             -0.908  1.000 

  1045. 

  1046. 

  1047. *******************************************************************************

  1048. Wed Jan 29 13:42:41 2020

  1049. 

  1050. 

  1051. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1052.         format = x:z

  1053.         #datapoints = 36

  1054.         residuals are weighted equally (unit weight)

  1055. 

  1056. function used for fitting: f2(x)

  1057. 	f2(x) = m2*x + b2

  1058. fitted parameters initialized with current variable values

  1059. 

  1060. iter      chisq       delta/lim  lambda   m2            b2           

  1061.    0 2.1068049924e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  1062.    4 2.2243212655e+00  -9.22e-01  1.75e-03    6.783997e-02  -1.937317e-01

  1063. 

  1064. After 4 iterations the fit converged.

  1065. final sum of squares of residuals : 2.22432

  1066. rel. change during last iteration : -9.21847e-06

  1067. 

  1068. degrees of freedom    (FIT_NDF)                        : 34

  1069. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.255776

  1070. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0654212

  1071. 

  1072. Final set of parameters            Asymptotic Standard Error

  1073. =======================            ==========================

  1074. m2              = 0.06784          +/- 0.004104     (6.049%)

  1075. b2              = -0.193732        +/- 0.1017       (52.49%)

  1076. 

  1077. correlation matrix of the fit parameters:

  1078.                 m2     b2     

  1079. m2              1.000 

  1080. b2             -0.908  1.000 

  1081. 

  1082. 

  1083. *******************************************************************************

  1084. Wed Jan 29 13:42:42 2020

  1085. 

  1086. 

  1087. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1088.         format = x:z

  1089.         #datapoints = 36

  1090.         residuals are weighted equally (unit weight)

  1091. 

  1092. function used for fitting: f3(x)

  1093. 	f3(x) = m3*x + b3

  1094. fitted parameters initialized with current variable values

  1095. 

  1096. iter      chisq       delta/lim  lambda   m3            b3           

  1097.    0 1.9466043849e+04   0.00e+00  1.75e+01    1.000000e+00   1.000000e+00

  1098.    5 6.6884219201e-01  -8.40e-09  1.75e-04    1.088134e-01  -2.789369e-01

  1099. 

  1100. After 5 iterations the fit converged.

  1101. final sum of squares of residuals : 0.668842

  1102. rel. change during last iteration : -8.39918e-14

  1103. 

  1104. degrees of freedom    (FIT_NDF)                        : 34

  1105. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.140256

  1106. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0196718

  1107. 

  1108. Final set of parameters            Asymptotic Standard Error

  1109. =======================            ==========================

  1110. m3              = 0.108813         +/- 0.00225      (2.068%)

  1111. b3              = -0.278937        +/- 0.05577      (19.99%)

  1112. 

  1113. correlation matrix of the fit parameters:

  1114.                 m3     b3     

  1115. m3              1.000 

  1116. b3             -0.908  1.000 

  1117. 

  1118. 

  1119. *******************************************************************************

  1120. Wed Jan 29 13:44:44 2020

  1121. 

  1122. 

  1123. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1124.         format = x:z

  1125.         #datapoints = 46

  1126.         residuals are weighted equally (unit weight)

  1127. 

  1128. function used for fitting: f1(x)

  1129. 	f1(x) = m1*x + b1

  1130. fitted parameters initialized with current variable values

  1131. 

  1132. iter      chisq       delta/lim  lambda   m1            b1           

  1133.    0 4.2576013999e+04   0.00e+00  2.16e+01    1.000000e+00   1.000000e+00

  1134.    5 1.3962805875e-01  -8.08e-08  2.16e-04    3.883367e-02  -1.855936e-01

  1135. 

  1136. After 5 iterations the fit converged.

  1137. final sum of squares of residuals : 0.139628

  1138. rel. change during last iteration : -8.0805e-13

  1139. 

  1140. degrees of freedom    (FIT_NDF)                        : 44

  1141. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0563326

  1142. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00317336

  1143. 

  1144. Final set of parameters            Asymptotic Standard Error

  1145. =======================            ==========================

  1146. m1              = 0.0388337        +/- 0.0006256    (1.611%)

  1147. b1              = -0.185594        +/- 0.0191       (10.29%)

  1148. 

  1149. correlation matrix of the fit parameters:

  1150.                 m1     b1     

  1151. m1              1.000 

  1152. b1             -0.901  1.000 

  1153. 

  1154. 

  1155. *******************************************************************************

  1156. Wed Jan 29 13:44:45 2020

  1157. 

  1158. 

  1159. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1160.         format = x:z

  1161.         #datapoints = 46

  1162.         residuals are weighted equally (unit weight)

  1163. 

  1164. function used for fitting: f2(x)

  1165. 	f2(x) = m2*x + b2

  1166. fitted parameters initialized with current variable values

  1167. 

  1168. iter      chisq       delta/lim  lambda   m2            b2           

  1169.    0 4.1105552506e+04   0.00e+00  2.16e+01    1.000000e+00   1.000000e+00

  1170.    5 1.1749932166e+00  -1.06e-08  2.16e-04    5.807995e-02  -2.486640e-01

  1171. 

  1172. After 5 iterations the fit converged.

  1173. final sum of squares of residuals : 1.17499

  1174. rel. change during last iteration : -1.05826e-13

  1175. 

  1176. degrees of freedom    (FIT_NDF)                        : 44

  1177. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.163415

  1178. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0267044

  1179. 

  1180. Final set of parameters            Asymptotic Standard Error

  1181. =======================            ==========================

  1182. m2              = 0.05808          +/- 0.001815     (3.125%)

  1183. b2              = -0.248664        +/- 0.05542      (22.29%)

  1184. 

  1185. correlation matrix of the fit parameters:

  1186.                 m2     b2     

  1187. m2              1.000 

  1188. b2             -0.901  1.000 

  1189. 

  1190. 

  1191. *******************************************************************************

  1192. Wed Jan 29 13:44:45 2020

  1193. 

  1194. 

  1195. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1196.         format = x:z

  1197.         #datapoints = 46

  1198.         residuals are weighted equally (unit weight)

  1199. 

  1200. function used for fitting: f3(x)

  1201. 	f3(x) = m3*x + b3

  1202. fitted parameters initialized with current variable values

  1203. 

  1204. iter      chisq       delta/lim  lambda   m3            b3           

  1205.    0 3.8754496991e+04   0.00e+00  2.16e+01    1.000000e+00   1.000000e+00

  1206.    5 1.3945618361e+00  -1.04e-08  2.16e-04    8.925655e-02  -3.414372e-01

  1207. 

  1208. After 5 iterations the fit converged.

  1209. final sum of squares of residuals : 1.39456

  1210. rel. change during last iteration : -1.04449e-13

  1211. 

  1212. degrees of freedom    (FIT_NDF)                        : 44

  1213. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.17803

  1214. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0316946

  1215. 

  1216. Final set of parameters            Asymptotic Standard Error

  1217. =======================            ==========================

  1218. m3              = 0.0892566        +/- 0.001977     (2.215%)

  1219. b3              = -0.341437        +/- 0.06038      (17.68%)

  1220. 

  1221. correlation matrix of the fit parameters:

  1222.                 m3     b3     

  1223. m3              1.000 

  1224. b3             -0.901  1.000 

  1225. 

  1226. 

  1227. *******************************************************************************

  1228. Wed Jan 29 13:45:35 2020

  1229. 

  1230. 

  1231. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1232.         format = x:z

  1233.         #datapoints = 56

  1234.         residuals are weighted equally (unit weight)

  1235. 

  1236. function used for fitting: f1(x)

  1237. 	f1(x) = m1*x + b1

  1238. fitted parameters initialized with current variable values

  1239. 

  1240. iter      chisq       delta/lim  lambda   m1            b1           

  1241.    0 7.3157879773e+04   0.00e+00  2.57e+01    1.000000e+00   1.000000e+00

  1242.    5 1.9786957810e-01  -1.28e-07  2.57e-04    3.387037e-02  -1.973318e-01

  1243. 

  1244. After 5 iterations the fit converged.

  1245. final sum of squares of residuals : 0.19787

  1246. rel. change during last iteration : -1.27718e-12

  1247. 

  1248. degrees of freedom    (FIT_NDF)                        : 54

  1249. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0605331

  1250. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00366425

  1251. 

  1252. Final set of parameters            Asymptotic Standard Error

  1253. =======================            ==========================

  1254. m1              = 0.0338704        +/- 0.0005005    (1.478%)

  1255. b1              = -0.197332        +/- 0.01817      (9.206%)

  1256. 

  1257. correlation matrix of the fit parameters:

  1258.                 m1     b1     

  1259. m1              1.000 

  1260. b1             -0.895  1.000 

  1261. 

  1262. 

  1263. *******************************************************************************

  1264. Wed Jan 29 13:45:35 2020

  1265. 

  1266. 

  1267. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1268.         format = x:z

  1269.         #datapoints = 56

  1270.         residuals are weighted equally (unit weight)

  1271. 

  1272. function used for fitting: f2(x)

  1273. 	f2(x) = m2*x + b2

  1274. fitted parameters initialized with current variable values

  1275. 

  1276. iter      chisq       delta/lim  lambda   m2            b2           

  1277.    0 7.1341411301e+04   0.00e+00  2.57e+01    1.000000e+00   1.000000e+00

  1278.    5 1.8836159776e+00  -1.43e-08  2.57e-04    4.732793e-02  -2.377508e-01

  1279. 

  1280. After 5 iterations the fit converged.

  1281. final sum of squares of residuals : 1.88362

  1282. rel. change during last iteration : -1.43463e-13

  1283. 

  1284. degrees of freedom    (FIT_NDF)                        : 54

  1285. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.186767

  1286. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0348818

  1287. 

  1288. Final set of parameters            Asymptotic Standard Error

  1289. =======================            ==========================

  1290. m2              = 0.0473279        +/- 0.001544     (3.263%)

  1291. b2              = -0.237751        +/- 0.05605      (23.57%)

  1292. 

  1293. correlation matrix of the fit parameters:

  1294.                 m2     b2     

  1295. m2              1.000 

  1296. b2             -0.895  1.000 

  1297. 

  1298. 

  1299. *******************************************************************************

  1300. Wed Jan 29 13:45:35 2020

  1301. 

  1302. 

  1303. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1304.         format = x:z

  1305.         #datapoints = 56

  1306.         residuals are weighted equally (unit weight)

  1307. 

  1308. function used for fitting: f3(x)

  1309. 	f3(x) = m3*x + b3

  1310. fitted parameters initialized with current variable values

  1311. 

  1312. iter      chisq       delta/lim  lambda   m3            b3           

  1313.    0 6.7949701907e+04   0.00e+00  2.57e+01    1.000000e+00   1.000000e+00

  1314.    5 2.3979739405e+00  -1.45e-08  2.57e-04    7.495197e-02  -3.968586e-01

  1315. 

  1316. After 5 iterations the fit converged.

  1317. final sum of squares of residuals : 2.39797

  1318. rel. change during last iteration : -1.44636e-13

  1319. 

  1320. degrees of freedom    (FIT_NDF)                        : 54

  1321. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.21073

  1322. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0444069

  1323. 

  1324. Final set of parameters            Asymptotic Standard Error

  1325. =======================            ==========================

  1326. m3              = 0.074952         +/- 0.001742     (2.324%)

  1327. b3              = -0.396859        +/- 0.06324      (15.93%)

  1328. 

  1329. correlation matrix of the fit parameters:

  1330.                 m3     b3     

  1331. m3              1.000 

  1332. b3             -0.895  1.000 

  1333. 

  1334. 

  1335. *******************************************************************************

  1336. Wed Jan 29 13:46:34 2020

  1337. 

  1338. 

  1339. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1340.         format = x:z

  1341.         #datapoints = 66

  1342.         residuals are weighted equally (unit weight)

  1343. 

  1344. function used for fitting: f1(x)

  1345. 	f1(x) = m1*x + b1

  1346. fitted parameters initialized with current variable values

  1347. 

  1348. iter      chisq       delta/lim  lambda   m1            b1           

  1349.    0 1.1593739868e+05   0.00e+00  2.98e+01    1.000000e+00   1.000000e+00

  1350.    5 2.3865854611e-01  -2.13e-07  2.98e-04    2.889376e-02  -1.917072e-01

  1351. 

  1352. After 5 iterations the fit converged.

  1353. final sum of squares of residuals : 0.238659

  1354. rel. change during last iteration : -2.12791e-12

  1355. 

  1356. degrees of freedom    (FIT_NDF)                        : 64

  1357. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0610659

  1358. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00372904

  1359. 

  1360. Final set of parameters            Asymptotic Standard Error

  1361. =======================            ==========================

  1362. m1              = 0.0288938        +/- 0.0003946    (1.366%)

  1363. b1              = -0.191707        +/- 0.0166       (8.657%)

  1364. 

  1365. correlation matrix of the fit parameters:

  1366.                 m1     b1     

  1367. m1              1.000 

  1368. b1             -0.892  1.000 

  1369. 

  1370. 

  1371. *******************************************************************************

  1372. Wed Jan 29 13:46:34 2020

  1373. 

  1374. 

  1375. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1376.         format = x:z

  1377.         #datapoints = 66

  1378.         residuals are weighted equally (unit weight)

  1379. 

  1380. function used for fitting: f2(x)

  1381. 	f2(x) = m2*x + b2

  1382. fitted parameters initialized with current variable values

  1383. 

  1384. iter      chisq       delta/lim  lambda   m2            b2           

  1385.    0 1.1356532168e+05   0.00e+00  2.98e+01    1.000000e+00   1.000000e+00

  1386.    5 2.1856883956e+00  -2.28e-08  2.98e-04    3.893238e-02  -1.815339e-01

  1387. 

  1388. After 5 iterations the fit converged.

  1389. final sum of squares of residuals : 2.18569

  1390. rel. change during last iteration : -2.28375e-13

  1391. 

  1392. degrees of freedom    (FIT_NDF)                        : 64

  1393. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.184801

  1394. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0341514

  1395. 

  1396. Final set of parameters            Asymptotic Standard Error

  1397. =======================            ==========================

  1398. m2              = 0.0389324        +/- 0.001194     (3.067%)

  1399. b2              = -0.181534        +/- 0.05022      (27.67%)

  1400. 

  1401. correlation matrix of the fit parameters:

  1402.                 m2     b2     

  1403. m2              1.000 

  1404. b2             -0.892  1.000 

  1405. 

  1406. 

  1407. *******************************************************************************

  1408. Wed Jan 29 13:46:34 2020

  1409. 

  1410. 

  1411. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1412.         format = x:z

  1413.         #datapoints = 66

  1414.         residuals are weighted equally (unit weight)

  1415. 

  1416. function used for fitting: f3(x)

  1417. 	f3(x) = m3*x + b3

  1418. fitted parameters initialized with current variable values

  1419. 

  1420. iter      chisq       delta/lim  lambda   m3            b3           

  1421.    0 1.0907822333e+05   0.00e+00  2.98e+01    1.000000e+00   1.000000e+00

  1422.    5 3.1766746014e+00  -2.17e-08  2.98e-04    6.294533e-02  -3.842156e-01

  1423. 

  1424. After 5 iterations the fit converged.

  1425. final sum of squares of residuals : 3.17667

  1426. rel. change during last iteration : -2.16685e-13

  1427. 

  1428. degrees of freedom    (FIT_NDF)                        : 64

  1429. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.22279

  1430. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0496355

  1431. 

  1432. Final set of parameters            Asymptotic Standard Error

  1433. =======================            ==========================

  1434. m3              = 0.0629453        +/- 0.00144      (2.287%)

  1435. b3              = -0.384216        +/- 0.06055      (15.76%)

  1436. 

  1437. correlation matrix of the fit parameters:

  1438.                 m3     b3     

  1439. m3              1.000 

  1440. b3             -0.892  1.000 

  1441. 

  1442. 

  1443. *******************************************************************************

  1444. Wed Jan 29 13:47:32 2020

  1445. 

  1446. 

  1447. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1448.         format = x:z

  1449.         #datapoints = 76

  1450.         residuals are weighted equally (unit weight)

  1451. 

  1452. function used for fitting: f1(x)

  1453. 	f1(x) = m1*x + b1

  1454. fitted parameters initialized with current variable values

  1455. 

  1456. iter      chisq       delta/lim  lambda   m1            b1           

  1457.    0 1.7280946624e+05   0.00e+00  3.38e+01    1.000000e+00   1.000000e+00

  1458.    5 3.4064038723e-01  -2.87e-07  3.38e-04    2.534961e-02  -1.994657e-01

  1459. 

  1460. After 5 iterations the fit converged.

  1461. final sum of squares of residuals : 0.34064

  1462. rel. change during last iteration : -2.86909e-12

  1463. 

  1464. degrees of freedom    (FIT_NDF)                        : 74

  1465. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0678472

  1466. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00460325

  1467. 

  1468. Final set of parameters            Asymptotic Standard Error

  1469. =======================            ==========================

  1470. m1              = 0.0253496        +/- 0.0003548    (1.399%)

  1471. b1              = -0.199466        +/- 0.01697      (8.507%)

  1472. 

  1473. correlation matrix of the fit parameters:

  1474.                 m1     b1     

  1475. m1              1.000 

  1476. b1             -0.889  1.000 

  1477. 

  1478. 

  1479. *******************************************************************************

  1480. Wed Jan 29 13:47:32 2020

  1481. 

  1482. 

  1483. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1484.         format = x:z

  1485.         #datapoints = 76

  1486.         residuals are weighted equally (unit weight)

  1487. 

  1488. function used for fitting: f2(x)

  1489. 	f2(x) = m2*x + b2

  1490. fitted parameters initialized with current variable values

  1491. 

  1492. iter      chisq       delta/lim  lambda   m2            b2           

  1493.    0 1.6985522844e+05   0.00e+00  3.38e+01    1.000000e+00   1.000000e+00

  1494.    5 2.7031299083e+00  -3.76e-08  3.38e-04    3.434892e-02  -2.226343e-01

  1495. 

  1496. After 5 iterations the fit converged.

  1497. final sum of squares of residuals : 2.70313

  1498. rel. change during last iteration : -3.76217e-13

  1499. 

  1500. degrees of freedom    (FIT_NDF)                        : 74

  1501. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.191125

  1502. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0365288

  1503. 

  1504. Final set of parameters            Asymptotic Standard Error

  1505. =======================            ==========================

  1506. m2              = 0.0343489        +/- 0.0009994    (2.909%)

  1507. b2              = -0.222634        +/- 0.0478       (21.47%)

  1508. 

  1509. correlation matrix of the fit parameters:

  1510.                 m2     b2     

  1511. m2              1.000 

  1512. b2             -0.889  1.000 

  1513. 

  1514. 

  1515. *******************************************************************************

  1516. Wed Jan 29 13:47:33 2020

  1517. 

  1518. 

  1519. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1520.         format = x:z

  1521.         #datapoints = 76

  1522.         residuals are weighted equally (unit weight)

  1523. 

  1524. function used for fitting: f3(x)

  1525. 	f3(x) = m3*x + b3

  1526. fitted parameters initialized with current variable values

  1527. 

  1528. iter      chisq       delta/lim  lambda   m3            b3           

  1529.    0 1.6416044624e+05   0.00e+00  3.38e+01    1.000000e+00   1.000000e+00

  1530.    5 3.5721284977e+00  -3.57e-08  3.38e-04    5.375418e-02  -3.664801e-01

  1531. 

  1532. After 5 iterations the fit converged.

  1533. final sum of squares of residuals : 3.57213

  1534. rel. change during last iteration : -3.56552e-13

  1535. 

  1536. degrees of freedom    (FIT_NDF)                        : 74

  1537. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.219709

  1538. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.048272

  1539. 

  1540. Final set of parameters            Asymptotic Standard Error

  1541. =======================            ==========================

  1542. m3              = 0.0537542        +/- 0.001149     (2.137%)

  1543. b3              = -0.36648         +/- 0.05495      (14.99%)

  1544. 

  1545. correlation matrix of the fit parameters:

  1546.                 m3     b3     

  1547. m3              1.000 

  1548. b3             -0.889  1.000 

  1549. 

  1550. 

  1551. *******************************************************************************

  1552. Wed Jan 29 13:48:10 2020

  1553. 

  1554. 

  1555. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1556.         format = x:z

  1557.         #datapoints = 86

  1558.         residuals are weighted equally (unit weight)

  1559. 

  1560. function used for fitting: f1(x)

  1561. 	f1(x) = m1*x + b1

  1562. fitted parameters initialized with current variable values

  1563. 

  1564. iter      chisq       delta/lim  lambda   m1            b1           

  1565.    0 2.4559702445e+05   0.00e+00  3.79e+01    1.000000e+00   1.000000e+00

  1566.    5 7.9964630872e-01  -2.30e-07  3.79e-04    2.331105e-02  -2.299169e-01

  1567. 

  1568. After 5 iterations the fit converged.

  1569. final sum of squares of residuals : 0.799646

  1570. rel. change during last iteration : -2.30182e-12

  1571. 

  1572. degrees of freedom    (FIT_NDF)                        : 84

  1573. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0975684

  1574. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0095196

  1575. 

  1576. Final set of parameters            Asymptotic Standard Error

  1577. =======================            ==========================

  1578. m1              = 0.023311         +/- 0.0004238    (1.818%)

  1579. b1              = -0.229917        +/- 0.02271      (9.88%)

  1580. 

  1581. correlation matrix of the fit parameters:

  1582.                 m1     b1     

  1583. m1              1.000 

  1584. b1             -0.886  1.000 

  1585. 

  1586. 

  1587. *******************************************************************************

  1588. Wed Jan 29 13:48:11 2020

  1589. 

  1590. 

  1591. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1592.         format = x:z

  1593.         #datapoints = 86

  1594.         residuals are weighted equally (unit weight)

  1595. 

  1596. function used for fitting: f2(x)

  1597. 	f2(x) = m2*x + b2

  1598. fitted parameters initialized with current variable values

  1599. 

  1600. iter      chisq       delta/lim  lambda   m2            b2           

  1601.    0 2.4248252316e+05   0.00e+00  3.79e+01    1.000000e+00   1.000000e+00

  1602.    5 2.1031710562e+00  -8.20e-08  3.79e-04    2.901065e-02  -1.910774e-01

  1603. 

  1604. After 5 iterations the fit converged.

  1605. final sum of squares of residuals : 2.10317

  1606. rel. change during last iteration : -8.19904e-13

  1607. 

  1608. degrees of freedom    (FIT_NDF)                        : 84

  1609. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.158233

  1610. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0250378

  1611. 

  1612. Final set of parameters            Asymptotic Standard Error

  1613. =======================            ==========================

  1614. m2              = 0.0290106        +/- 0.0006873    (2.369%)

  1615. b2              = -0.191077        +/- 0.03684      (19.28%)

  1616. 

  1617. correlation matrix of the fit parameters:

  1618.                 m2     b2     

  1619. m2              1.000 

  1620. b2             -0.886  1.000 

  1621. 

  1622. 

  1623. *******************************************************************************

  1624. Wed Jan 29 13:48:11 2020

  1625. 

  1626. 

  1627. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1628.         format = x:z

  1629.         #datapoints = 86

  1630.         residuals are weighted equally (unit weight)

  1631. 

  1632. function used for fitting: f3(x)

  1633. 	f3(x) = m3*x + b3

  1634. fitted parameters initialized with current variable values

  1635. 

  1636. iter      chisq       delta/lim  lambda   m3            b3           

  1637.    0 2.3583603710e+05   0.00e+00  3.79e+01    1.000000e+00   1.000000e+00

  1638.    5 2.9585247444e+00  -7.02e-08  3.79e-04    4.458467e-02  -3.052509e-01

  1639. 

  1640. After 5 iterations the fit converged.

  1641. final sum of squares of residuals : 2.95852

  1642. rel. change during last iteration : -7.01741e-13

  1643. 

  1644. degrees of freedom    (FIT_NDF)                        : 84

  1645. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.187671

  1646. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0352205

  1647. 

  1648. Final set of parameters            Asymptotic Standard Error

  1649. =======================            ==========================

  1650. m3              = 0.0445847        +/- 0.0008152    (1.828%)

  1651. b3              = -0.305251        +/- 0.04369      (14.31%)

  1652. 

  1653. correlation matrix of the fit parameters:

  1654.                 m3     b3     

  1655. m3              1.000 

  1656. b3             -0.886  1.000 

  1657. 

  1658. 

  1659. *******************************************************************************

  1660. Wed Jan 29 13:49:26 2020

  1661. 

  1662. 

  1663. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1664.         format = x:z

  1665.         #datapoints = 96

  1666.         residuals are weighted equally (unit weight)

  1667. 

  1668. function used for fitting: f1(x)

  1669. 	f1(x) = m1*x + b1

  1670. fitted parameters initialized with current variable values

  1671. 

  1672. iter      chisq       delta/lim  lambda   m1            b1           

  1673.    0 3.3676937269e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1674.    5 1.3758845977e+00  -2.25e-07  4.20e-04    2.058080e-02  -2.242641e-01

  1675. 

  1676. After 5 iterations the fit converged.

  1677. final sum of squares of residuals : 1.37588

  1678. rel. change during last iteration : -2.25339e-12

  1679. 

  1680. degrees of freedom    (FIT_NDF)                        : 94

  1681. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.120984

  1682. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0146371

  1683. 

  1684. Final set of parameters            Asymptotic Standard Error

  1685. =======================            ==========================

  1686. m1              = 0.0205808        +/- 0.0004456    (2.165%)

  1687. b1              = -0.224264        +/- 0.02645      (11.8%)

  1688. 

  1689. correlation matrix of the fit parameters:

  1690.                 m1     b1     

  1691. m1              1.000 

  1692. b1             -0.884  1.000 

  1693. 

  1694. 

  1695. *******************************************************************************

  1696. Wed Jan 29 13:49:26 2020

  1697. 

  1698. 

  1699. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1700.         format = x:z

  1701.         #datapoints = 96

  1702.         residuals are weighted equally (unit weight)

  1703. 

  1704. function used for fitting: f2(x)

  1705. 	f2(x) = m2*x + b2

  1706. fitted parameters initialized with current variable values

  1707. 

  1708. iter      chisq       delta/lim  lambda   m2            b2           

  1709.    0 3.3285437255e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1710.    5 2.2687164971e+00  -1.29e-07  4.20e-04    2.585652e-02  -1.880575e-01

  1711. 

  1712. After 5 iterations the fit converged.

  1713. final sum of squares of residuals : 2.26872

  1714. rel. change during last iteration : -1.28604e-12

  1715. 

  1716. degrees of freedom    (FIT_NDF)                        : 94

  1717. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.155355

  1718. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0241353

  1719. 

  1720. Final set of parameters            Asymptotic Standard Error

  1721. =======================            ==========================

  1722. m2              = 0.0258565        +/- 0.0005722    (2.213%)

  1723. b2              = -0.188058        +/- 0.03397      (18.06%)

  1724. 

  1725. correlation matrix of the fit parameters:

  1726.                 m2     b2     

  1727. m2              1.000 

  1728. b2             -0.884  1.000 

  1729. 

  1730. 

  1731. *******************************************************************************

  1732. Wed Jan 29 13:49:27 2020

  1733. 

  1734. 

  1735. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1736.         format = x:z

  1737.         #datapoints = 96

  1738.         residuals are weighted equally (unit weight)

  1739. 

  1740. function used for fitting: f3(x)

  1741. 	f3(x) = m3*x + b3

  1742. fitted parameters initialized with current variable values

  1743. 

  1744. iter      chisq       delta/lim  lambda   m3            b3           

  1745.    0 3.2441649073e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1746.    5 5.1898306012e+00  -7.38e-08  4.20e-04    4.107512e-02  -3.590223e-01

  1747. 

  1748. After 5 iterations the fit converged.

  1749. final sum of squares of residuals : 5.18983

  1750. rel. change during last iteration : -7.37948e-13

  1751. 

  1752. degrees of freedom    (FIT_NDF)                        : 94

  1753. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.23497

  1754. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.055211

  1755. 

  1756. Final set of parameters            Asymptotic Standard Error

  1757. =======================            ==========================

  1758. m3              = 0.0410751        +/- 0.0008654    (2.107%)

  1759. b3              = -0.359022        +/- 0.05137      (14.31%)

  1760. 

  1761. correlation matrix of the fit parameters:

  1762.                 m3     b3     

  1763. m3              1.000 

  1764. b3             -0.884  1.000 

  1765. 

  1766. 

  1767. *******************************************************************************

  1768. Wed Jan 29 13:50:47 2020

  1769. 

  1770. 

  1771. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1772.         format = x:z

  1773.         #datapoints = 96

  1774.         residuals are weighted equally (unit weight)

  1775. 

  1776. function used for fitting: f1(x)

  1777. 	f1(x) = m1*x + b1

  1778. fitted parameters initialized with current variable values

  1779. 

  1780. iter      chisq       delta/lim  lambda   m1            b1           

  1781.    0 3.3855350941e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1782.    5 6.8605939096e-01  -4.13e-07  4.20e-04    1.715257e-02  -1.716461e-01

  1783. 

  1784. After 5 iterations the fit converged.

  1785. final sum of squares of residuals : 0.686059

  1786. rel. change during last iteration : -4.13417e-12

  1787. 

  1788. degrees of freedom    (FIT_NDF)                        : 94

  1789. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0854313

  1790. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0072985

  1791. 

  1792. Final set of parameters            Asymptotic Standard Error

  1793. =======================            ==========================

  1794. m1              = 0.0171526        +/- 0.0003146    (1.834%)

  1795. b1              = -0.171646        +/- 0.01868      (10.88%)

  1796. 

  1797. correlation matrix of the fit parameters:

  1798.                 m1     b1     

  1799. m1              1.000 

  1800. b1             -0.884  1.000 

  1801. 

  1802. 

  1803. *******************************************************************************

  1804. Wed Jan 29 13:50:47 2020

  1805. 

  1806. 

  1807. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1808.         format = x:z

  1809.         #datapoints = 96

  1810.         residuals are weighted equally (unit weight)

  1811. 

  1812. function used for fitting: f2(x)

  1813. 	f2(x) = m2*x + b2

  1814. fitted parameters initialized with current variable values

  1815. 

  1816. iter      chisq       delta/lim  lambda   m2            b2           

  1817.    0 3.3516285801e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1818.    5 1.5516089102e+00  -1.76e-07  4.20e-04    2.184447e-02  -1.495012e-01

  1819. 

  1820. After 5 iterations the fit converged.

  1821. final sum of squares of residuals : 1.55161

  1822. rel. change during last iteration : -1.75863e-12

  1823. 

  1824. degrees of freedom    (FIT_NDF)                        : 94

  1825. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.128478

  1826. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0165065

  1827. 

  1828. Final set of parameters            Asymptotic Standard Error

  1829. =======================            ==========================

  1830. m2              = 0.0218445        +/- 0.0004732    (2.166%)

  1831. b2              = -0.149501        +/- 0.02809      (18.79%)

  1832. 

  1833. correlation matrix of the fit parameters:

  1834.                 m2     b2     

  1835. m2              1.000 

  1836. b2             -0.884  1.000 

  1837. 

  1838. 

  1839. *******************************************************************************

  1840. Wed Jan 29 13:50:47 2020

  1841. 

  1842. 

  1843. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1844.         format = x:z

  1845.         #datapoints = 96

  1846.         residuals are weighted equally (unit weight)

  1847. 

  1848. function used for fitting: f3(x)

  1849. 	f3(x) = m3*x + b3

  1850. fitted parameters initialized with current variable values

  1851. 

  1852. iter      chisq       delta/lim  lambda   m3            b3           

  1853.    0 3.2810651121e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1854.    5 2.9610305741e+00  -1.06e-07  4.20e-04    3.361846e-02  -2.321999e-01

  1855. 

  1856. After 5 iterations the fit converged.

  1857. final sum of squares of residuals : 2.96103

  1858. rel. change during last iteration : -1.06079e-12

  1859. 

  1860. degrees of freedom    (FIT_NDF)                        : 94

  1861. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.177483

  1862. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0315003

  1863. 

  1864. Final set of parameters            Asymptotic Standard Error

  1865. =======================            ==========================

  1866. m3              = 0.0336185        +/- 0.0006537    (1.944%)

  1867. b3              = -0.2322          +/- 0.03881      (16.71%)

  1868. 

  1869. correlation matrix of the fit parameters:

  1870.                 m3     b3     

  1871. m3              1.000 

  1872. b3             -0.884  1.000 

  1873. 

  1874. 

  1875. *******************************************************************************

  1876. Wed Jan 29 13:51:41 2020

  1877. 

  1878. 

  1879. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1880.         format = x:z

  1881.         #datapoints = 96

  1882.         residuals are weighted equally (unit weight)

  1883. 

  1884. function used for fitting: f1(x)

  1885. 	f1(x) = m1*x + b1

  1886. fitted parameters initialized with current variable values

  1887. 

  1888. iter      chisq       delta/lim  lambda   m1            b1           

  1889.    0 3.3997251335e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1890.    5 3.4987837769e-01  -7.46e-07  4.20e-04    1.435347e-02  -1.245927e-01

  1891. 

  1892. After 5 iterations the fit converged.

  1893. final sum of squares of residuals : 0.349878

  1894. rel. change during last iteration : -7.46075e-12

  1895. 

  1896. degrees of freedom    (FIT_NDF)                        : 94

  1897. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0610091

  1898. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00372211

  1899. 

  1900. Final set of parameters            Asymptotic Standard Error

  1901. =======================            ==========================

  1902. m1              = 0.0143535        +/- 0.0002247    (1.565%)

  1903. b1              = -0.124593        +/- 0.01334      (10.71%)

  1904. 

  1905. correlation matrix of the fit parameters:

  1906.                 m1     b1     

  1907. m1              1.000 

  1908. b1             -0.884  1.000 

  1909. 

  1910. 

  1911. *******************************************************************************

  1912. Wed Jan 29 13:51:41 2020

  1913. 

  1914. 

  1915. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  1916.         format = x:z

  1917.         #datapoints = 96

  1918.         residuals are weighted equally (unit weight)

  1919. 

  1920. function used for fitting: f2(x)

  1921. 	f2(x) = m2*x + b2

  1922. fitted parameters initialized with current variable values

  1923. 

  1924. iter      chisq       delta/lim  lambda   m2            b2           

  1925.    0 3.3662811517e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1926.    5 1.3152703771e+00  -1.95e-07  4.20e-04    1.913903e-02  -1.139769e-01

  1927. 

  1928. After 5 iterations the fit converged.

  1929. final sum of squares of residuals : 1.31527

  1930. rel. change during last iteration : -1.94701e-12

  1931. 

  1932. degrees of freedom    (FIT_NDF)                        : 94

  1933. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.118289

  1934. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0139922

  1935. 

  1936. Final set of parameters            Asymptotic Standard Error

  1937. =======================            ==========================

  1938. m2              = 0.019139         +/- 0.0004357    (2.276%)

  1939. b2              = -0.113977        +/- 0.02586      (22.69%)

  1940. 

  1941. correlation matrix of the fit parameters:

  1942.                 m2     b2     

  1943. m2              1.000 

  1944. b2             -0.884  1.000 

  1945. 

  1946. 

  1947. *******************************************************************************

  1948. Wed Jan 29 13:51:41 2020

  1949. 

  1950. 

  1951. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  1952.         format = x:z

  1953.         #datapoints = 96

  1954.         residuals are weighted equally (unit weight)

  1955. 

  1956. function used for fitting: f3(x)

  1957. 	f3(x) = m3*x + b3

  1958. fitted parameters initialized with current variable values

  1959. 

  1960. iter      chisq       delta/lim  lambda   m3            b3           

  1961.    0 3.3129899357e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1962.    5 1.2027095302e+00  -2.19e-07  4.20e-04    2.731445e-02  -1.305554e-01

  1963. 

  1964. After 5 iterations the fit converged.

  1965. final sum of squares of residuals : 1.20271

  1966. rel. change during last iteration : -2.19384e-12

  1967. 

  1968. degrees of freedom    (FIT_NDF)                        : 94

  1969. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.113114

  1970. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0127948

  1971. 

  1972. Final set of parameters            Asymptotic Standard Error

  1973. =======================            ==========================

  1974. m3              = 0.0273144        +/- 0.0004166    (1.525%)

  1975. b3              = -0.130555        +/- 0.02473      (18.94%)

  1976. 

  1977. correlation matrix of the fit parameters:

  1978.                 m3     b3     

  1979. m3              1.000 

  1980. b3             -0.884  1.000 

  1981. 

  1982. 

  1983. *******************************************************************************

  1984. Wed Jan 29 13:52:29 2020

  1985. 

  1986. 

  1987. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  1988.         format = x:z

  1989.         #datapoints = 96

  1990.         residuals are weighted equally (unit weight)

  1991. 

  1992. function used for fitting: f1(x)

  1993. 	f1(x) = m1*x + b1

  1994. fitted parameters initialized with current variable values

  1995. 

  1996. iter      chisq       delta/lim  lambda   m1            b1           

  1997.    0 3.4107011866e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  1998.    5 2.3399116251e-01  -1.06e-06  4.20e-04    1.232897e-02  -9.737116e-02

  1999. 

  2000. After 5 iterations the fit converged.

  2001. final sum of squares of residuals : 0.233991

  2002. rel. change during last iteration : -1.06141e-11

  2003. 

  2004. degrees of freedom    (FIT_NDF)                        : 94

  2005. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0498926

  2006. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00248927

  2007. 

  2008. Final set of parameters            Asymptotic Standard Error

  2009. =======================            ==========================

  2010. m1              = 0.012329         +/- 0.0001838    (1.49%)

  2011. b1              = -0.0973712       +/- 0.01091      (11.2%)

  2012. 

  2013. correlation matrix of the fit parameters:

  2014.                 m1     b1     

  2015. m1              1.000 

  2016. b1             -0.884  1.000 

  2017. 

  2018. 

  2019. *******************************************************************************

  2020. Wed Jan 29 13:52:29 2020

  2021. 

  2022. 

  2023. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2024.         format = x:z

  2025.         #datapoints = 96

  2026.         residuals are weighted equally (unit weight)

  2027. 

  2028. function used for fitting: f2(x)

  2029. 	f2(x) = m2*x + b2

  2030. fitted parameters initialized with current variable values

  2031. 

  2032. iter      chisq       delta/lim  lambda   m2            b2           

  2033.    0 3.3827938937e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2034.    5 8.3933136863e-01  -2.82e-07  4.20e-04    1.606554e-02  -7.193422e-02

  2035. 

  2036. After 5 iterations the fit converged.

  2037. final sum of squares of residuals : 0.839331

  2038. rel. change during last iteration : -2.82182e-12

  2039. 

  2040. degrees of freedom    (FIT_NDF)                        : 94

  2041. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0944937

  2042. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00892906

  2043. 

  2044. Final set of parameters            Asymptotic Standard Error

  2045. =======================            ==========================

  2046. m2              = 0.0160655        +/- 0.000348     (2.166%)

  2047. b2              = -0.0719342       +/- 0.02066      (28.72%)

  2048. 

  2049. correlation matrix of the fit parameters:

  2050.                 m2     b2     

  2051. m2              1.000 

  2052. b2             -0.884  1.000 

  2053. 

  2054. 

  2055. *******************************************************************************

  2056. Wed Jan 29 13:52:29 2020

  2057. 

  2058. 

  2059. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2060.         format = x:z

  2061.         #datapoints = 96

  2062.         residuals are weighted equally (unit weight)

  2063. 

  2064. function used for fitting: f3(x)

  2065. 	f3(x) = m3*x + b3

  2066. fitted parameters initialized with current variable values

  2067. 

  2068. iter      chisq       delta/lim  lambda   m3            b3           

  2069.    0 3.3316992175e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2070.    5 1.0812595097e+00  -2.27e-07  4.20e-04    2.391506e-02  -8.987383e-02

  2071. 

  2072. After 5 iterations the fit converged.

  2073. final sum of squares of residuals : 1.08126

  2074. rel. change during last iteration : -2.26673e-12

  2075. 

  2076. degrees of freedom    (FIT_NDF)                        : 94

  2077. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.107251

  2078. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0115028

  2079. 

  2080. Final set of parameters            Asymptotic Standard Error

  2081. =======================            ==========================

  2082. m3              = 0.0239151        +/- 0.000395     (1.652%)

  2083. b3              = -0.0898738       +/- 0.02345      (26.09%)

  2084. 

  2085. correlation matrix of the fit parameters:

  2086.                 m3     b3     

  2087. m3              1.000 

  2088. b3             -0.884  1.000 

  2089. 

  2090. 

  2091. *******************************************************************************

  2092. Wed Jan 29 13:53:54 2020

  2093. 

  2094. 

  2095. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  2096.         format = x:z

  2097.         #datapoints = 96

  2098.         residuals are weighted equally (unit weight)

  2099. 

  2100. function used for fitting: f1(x)

  2101. 	f1(x) = m1*x + b1

  2102. fitted parameters initialized with current variable values

  2103. 

  2104. iter      chisq       delta/lim  lambda   m1            b1           

  2105.    0 3.4190407509e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2106.    5 1.5601029995e-01  -1.54e-06  4.20e-04    1.084149e-02  -7.995963e-02

  2107. 

  2108. After 5 iterations the fit converged.

  2109. final sum of squares of residuals : 0.15601

  2110. rel. change during last iteration : -1.54106e-11

  2111. 

  2112. degrees of freedom    (FIT_NDF)                        : 94

  2113. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0407392

  2114. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00165968

  2115. 

  2116. Final set of parameters            Asymptotic Standard Error

  2117. =======================            ==========================

  2118. m1              = 0.0108415        +/- 0.00015      (1.384%)

  2119. b1              = -0.0799596       +/- 0.008907     (11.14%)

  2120. 

  2121. correlation matrix of the fit parameters:

  2122.                 m1     b1     

  2123. m1              1.000 

  2124. b1             -0.884  1.000 

  2125. 

  2126. 

  2127. *******************************************************************************

  2128. Wed Jan 29 13:53:54 2020

  2129. 

  2130. 

  2131. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2132.         format = x:z

  2133.         #datapoints = 96

  2134.         residuals are weighted equally (unit weight)

  2135. 

  2136. function used for fitting: f2(x)

  2137. 	f2(x) = m2*x + b2

  2138. fitted parameters initialized with current variable values

  2139. 

  2140. iter      chisq       delta/lim  lambda   m2            b2           

  2141.    0 3.3915046775e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2142.    5 6.0182880930e-01  -3.84e-07  4.20e-04    1.459532e-02  -5.968976e-02

  2143. 

  2144. After 5 iterations the fit converged.

  2145. final sum of squares of residuals : 0.601829

  2146. rel. change during last iteration : -3.84335e-12

  2147. 

  2148. degrees of freedom    (FIT_NDF)                        : 94

  2149. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0800152

  2150. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00640243

  2151. 

  2152. Final set of parameters            Asymptotic Standard Error

  2153. =======================            ==========================

  2154. m2              = 0.0145953        +/- 0.0002947    (2.019%)

  2155. b2              = -0.0596898       +/- 0.01749      (29.31%)

  2156. 

  2157. correlation matrix of the fit parameters:

  2158.                 m2     b2     

  2159. m2              1.000 

  2160. b2             -0.884  1.000 

  2161. 

  2162. 

  2163. *******************************************************************************

  2164. Wed Jan 29 13:53:54 2020

  2165. 

  2166. 

  2167. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2168.         format = x:z

  2169.         #datapoints = 96

  2170.         residuals are weighted equally (unit weight)

  2171. 

  2172. function used for fitting: f3(x)

  2173. 	f3(x) = m3*x + b3

  2174. fitted parameters initialized with current variable values

  2175. 

  2176. iter      chisq       delta/lim  lambda   m3            b3           

  2177.    0 3.3492922263e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2178.    5 7.6635323988e-01  -2.93e-07  4.20e-04    2.062319e-02  -4.478554e-02

  2179. 

  2180. After 5 iterations the fit converged.

  2181. final sum of squares of residuals : 0.766353

  2182. rel. change during last iteration : -2.93465e-12

  2183. 

  2184. degrees of freedom    (FIT_NDF)                        : 94

  2185. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0902923

  2186. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00815269

  2187. 

  2188. Final set of parameters            Asymptotic Standard Error

  2189. =======================            ==========================

  2190. m3              = 0.0206232        +/- 0.0003326    (1.613%)

  2191. b3              = -0.0447855       +/- 0.01974      (44.08%)

  2192. 

  2193. correlation matrix of the fit parameters:

  2194.                 m3     b3     

  2195. m3              1.000 

  2196. b3             -0.884  1.000 

  2197. 

  2198. 

  2199. *******************************************************************************

  2200. Wed Jan 29 13:55:01 2020

  2201. 

  2202. 

  2203. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  2204.         format = x:z

  2205.         #datapoints = 96

  2206.         residuals are weighted equally (unit weight)

  2207. 

  2208. function used for fitting: f1(x)

  2209. 	f1(x) = m1*x + b1

  2210. fitted parameters initialized with current variable values

  2211. 

  2212. iter      chisq       delta/lim  lambda   m1            b1           

  2213.    0 3.4261545728e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2214.    5 9.0108836614e-02  -2.57e-06  4.20e-04    9.502297e-03  -6.032563e-02

  2215. 

  2216. After 5 iterations the fit converged.

  2217. final sum of squares of residuals : 0.0901088

  2218. rel. change during last iteration : -2.57048e-11

  2219. 

  2220. degrees of freedom    (FIT_NDF)                        : 94

  2221. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0309613

  2222. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000958605

  2223. 

  2224. Final set of parameters            Asymptotic Standard Error

  2225. =======================            ==========================

  2226. m1              = 0.0095023        +/- 0.000114     (1.2%)

  2227. b1              = -0.0603256       +/- 0.006769     (11.22%)

  2228. 

  2229. correlation matrix of the fit parameters:

  2230.                 m1     b1     

  2231. m1              1.000 

  2232. b1             -0.884  1.000 

  2233. 

  2234. 

  2235. *******************************************************************************

  2236. Wed Jan 29 13:55:01 2020

  2237. 

  2238. 

  2239. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2240.         format = x:z

  2241.         #datapoints = 96

  2242.         residuals are weighted equally (unit weight)

  2243. 

  2244. function used for fitting: f2(x)

  2245. 	f2(x) = m2*x + b2

  2246. fitted parameters initialized with current variable values

  2247. 

  2248. iter      chisq       delta/lim  lambda   m2            b2           

  2249.    0 3.4023627274e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2250.    5 4.9971206094e-01  -4.31e-07  4.20e-04    1.243769e-02  -2.252965e-02

  2251. 

  2252. After 5 iterations the fit converged.

  2253. final sum of squares of residuals : 0.499712

  2254. rel. change during last iteration : -4.30593e-12

  2255. 

  2256. degrees of freedom    (FIT_NDF)                        : 94

  2257. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0729115

  2258. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00531609

  2259. 

  2260. Final set of parameters            Asymptotic Standard Error

  2261. =======================            ==========================

  2262. m2              = 0.0124377        +/- 0.0002685    (2.159%)

  2263. b2              = -0.0225296       +/- 0.01594      (70.76%)

  2264. 

  2265. correlation matrix of the fit parameters:

  2266.                 m2     b2     

  2267. m2              1.000 

  2268. b2             -0.884  1.000 

  2269. 

  2270. 

  2271. *******************************************************************************

  2272. Wed Jan 29 13:55:01 2020

  2273. 

  2274. 

  2275. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2276.         format = x:z

  2277.         #datapoints = 96

  2278.         residuals are weighted equally (unit weight)

  2279. 

  2280. function used for fitting: f3(x)

  2281. 	f3(x) = m3*x + b3

  2282. fitted parameters initialized with current variable values

  2283. 

  2284. iter      chisq       delta/lim  lambda   m3            b3           

  2285.    0 3.3635103468e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2286.    5 5.6179892556e-01  -3.72e-07  4.20e-04    1.796755e-02  -8.316608e-03

  2287. 

  2288. After 5 iterations the fit converged.

  2289. final sum of squares of residuals : 0.561799

  2290. rel. change during last iteration : -3.72414e-12

  2291. 

  2292. degrees of freedom    (FIT_NDF)                        : 94

  2293. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0773084

  2294. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00597658

  2295. 

  2296. Final set of parameters            Asymptotic Standard Error

  2297. =======================            ==========================

  2298. m3              = 0.0179676        +/- 0.0002847    (1.585%)

  2299. b3              = -0.00831661      +/- 0.0169       (203.2%)

  2300. 

  2301. correlation matrix of the fit parameters:

  2302.                 m3     b3     

  2303. m3              1.000 

  2304. b3             -0.884  1.000 

  2305. 

  2306. 

  2307. *******************************************************************************

  2308. Wed Jan 29 13:56:09 2020

  2309. 

  2310. 

  2311. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  2312.         format = x:z

  2313.         #datapoints = 96

  2314.         residuals are weighted equally (unit weight)

  2315. 

  2316. function used for fitting: f1(x)

  2317. 	f1(x) = m1*x + b1

  2318. fitted parameters initialized with current variable values

  2319. 

  2320. iter      chisq       delta/lim  lambda   m1            b1           

  2321.    0 3.4261545728e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2322.    5 9.0108836614e-02  -2.57e-06  4.20e-04    9.502297e-03  -6.032563e-02

  2323. 

  2324. After 5 iterations the fit converged.

  2325. final sum of squares of residuals : 0.0901088

  2326. rel. change during last iteration : -2.57048e-11

  2327. 

  2328. degrees of freedom    (FIT_NDF)                        : 94

  2329. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0309613

  2330. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000958605

  2331. 

  2332. Final set of parameters            Asymptotic Standard Error

  2333. =======================            ==========================

  2334. m1              = 0.0095023        +/- 0.000114     (1.2%)

  2335. b1              = -0.0603256       +/- 0.006769     (11.22%)

  2336. 

  2337. correlation matrix of the fit parameters:

  2338.                 m1     b1     

  2339. m1              1.000 

  2340. b1             -0.884  1.000 

  2341. 

  2342. 

  2343. *******************************************************************************

  2344. Wed Jan 29 13:56:09 2020

  2345. 

  2346. 

  2347. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2348.         format = x:z

  2349.         #datapoints = 96

  2350.         residuals are weighted equally (unit weight)

  2351. 

  2352. function used for fitting: f2(x)

  2353. 	f2(x) = m2*x + b2

  2354. fitted parameters initialized with current variable values

  2355. 

  2356. iter      chisq       delta/lim  lambda   m2            b2           

  2357.    0 3.4023627274e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2358.    5 4.9971206094e-01  -4.31e-07  4.20e-04    1.243769e-02  -2.252965e-02

  2359. 

  2360. After 5 iterations the fit converged.

  2361. final sum of squares of residuals : 0.499712

  2362. rel. change during last iteration : -4.30593e-12

  2363. 

  2364. degrees of freedom    (FIT_NDF)                        : 94

  2365. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0729115

  2366. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00531609

  2367. 

  2368. Final set of parameters            Asymptotic Standard Error

  2369. =======================            ==========================

  2370. m2              = 0.0124377        +/- 0.0002685    (2.159%)

  2371. b2              = -0.0225296       +/- 0.01594      (70.76%)

  2372. 

  2373. correlation matrix of the fit parameters:

  2374.                 m2     b2     

  2375. m2              1.000 

  2376. b2             -0.884  1.000 

  2377. 

  2378. 

  2379. *******************************************************************************

  2380. Wed Jan 29 13:56:09 2020

  2381. 

  2382. 

  2383. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2384.         format = x:z

  2385.         #datapoints = 96

  2386.         residuals are weighted equally (unit weight)

  2387. 

  2388. function used for fitting: f3(x)

  2389. 	f3(x) = m3*x + b3

  2390. fitted parameters initialized with current variable values

  2391. 

  2392. iter      chisq       delta/lim  lambda   m3            b3           

  2393.    0 3.3635103468e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2394.    5 5.6179892556e-01  -3.72e-07  4.20e-04    1.796755e-02  -8.316608e-03

  2395. 

  2396. After 5 iterations the fit converged.

  2397. final sum of squares of residuals : 0.561799

  2398. rel. change during last iteration : -3.72414e-12

  2399. 

  2400. degrees of freedom    (FIT_NDF)                        : 94

  2401. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0773084

  2402. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00597658

  2403. 

  2404. Final set of parameters            Asymptotic Standard Error

  2405. =======================            ==========================

  2406. m3              = 0.0179676        +/- 0.0002847    (1.585%)

  2407. b3              = -0.00831661      +/- 0.0169       (203.2%)

  2408. 

  2409. correlation matrix of the fit parameters:

  2410.                 m3     b3     

  2411. m3              1.000 

  2412. b3             -0.884  1.000 

  2413. 

  2414. 

  2415. *******************************************************************************

  2416. Wed Jan 29 13:56:16 2020

  2417. 

  2418. 

  2419. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  2420.         format = x:z

  2421.         #datapoints = 96

  2422.         residuals are weighted equally (unit weight)

  2423. 

  2424. function used for fitting: f1(x)

  2425. 	f1(x) = m1*x + b1

  2426. fitted parameters initialized with current variable values

  2427. 

  2428. iter      chisq       delta/lim  lambda   m1            b1           

  2429.    0 3.4326551376e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2430.    5 6.7361697003e-02  -3.32e-06  4.20e-04    8.277073e-03  -4.221680e-02

  2431. 

  2432. After 5 iterations the fit converged.

  2433. final sum of squares of residuals : 0.0673617

  2434. rel. change during last iteration : -3.32033e-11

  2435. 

  2436. degrees of freedom    (FIT_NDF)                        : 94

  2437. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0267696

  2438. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000716614

  2439. 

  2440. Final set of parameters            Asymptotic Standard Error

  2441. =======================            ==========================

  2442. m1              = 0.00827707       +/- 9.859e-05    (1.191%)

  2443. b1              = -0.0422168       +/- 0.005853     (13.86%)

  2444. 

  2445. correlation matrix of the fit parameters:

  2446.                 m1     b1     

  2447. m1              1.000 

  2448. b1             -0.884  1.000 

  2449. 

  2450. 

  2451. *******************************************************************************

  2452. Wed Jan 29 13:56:16 2020

  2453. 

  2454. 

  2455. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2456.         format = x:z

  2457.         #datapoints = 96

  2458.         residuals are weighted equally (unit weight)

  2459. 

  2460. function used for fitting: f2(x)

  2461. 	f2(x) = m2*x + b2

  2462. fitted parameters initialized with current variable values

  2463. 

  2464. iter      chisq       delta/lim  lambda   m2            b2           

  2465.    0 3.4085968875e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2466.    5 5.0566154931e-01  -4.20e-07  4.20e-04    1.141806e-02  -1.575905e-02

  2467. 

  2468. After 5 iterations the fit converged.

  2469. final sum of squares of residuals : 0.505662

  2470. rel. change during last iteration : -4.19884e-12

  2471. 

  2472. degrees of freedom    (FIT_NDF)                        : 94

  2473. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0733442

  2474. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00537938

  2475. 

  2476. Final set of parameters            Asymptotic Standard Error

  2477. =======================            ==========================

  2478. m2              = 0.0114181        +/- 0.0002701    (2.366%)

  2479. b2              = -0.015759        +/- 0.01604      (101.8%)

  2480. 

  2481. correlation matrix of the fit parameters:

  2482.                 m2     b2     

  2483. m2              1.000 

  2484. b2             -0.884  1.000 

  2485. 

  2486. 

  2487. *******************************************************************************

  2488. Wed Jan 29 13:56:16 2020

  2489. 

  2490. 

  2491. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2492.         format = x:z

  2493.         #datapoints = 96

  2494.         residuals are weighted equally (unit weight)

  2495. 

  2496. function used for fitting: f3(x)

  2497. 	f3(x) = m3*x + b3

  2498. fitted parameters initialized with current variable values

  2499. 

  2500. iter      chisq       delta/lim  lambda   m3            b3           

  2501.    0 3.3750674053e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2502.    5 3.1810504361e-01  -6.15e-07  4.20e-04    1.576269e-02   2.463553e-02

  2503. 

  2504. After 5 iterations the fit converged.

  2505. final sum of squares of residuals : 0.318105

  2506. rel. change during last iteration : -6.14836e-12

  2507. 

  2508. degrees of freedom    (FIT_NDF)                        : 94

  2509. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.058173

  2510. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0033841

  2511. 

  2512. Final set of parameters            Asymptotic Standard Error

  2513. =======================            ==========================

  2514. m3              = 0.0157627        +/- 0.0002143    (1.359%)

  2515. b3              = 0.0246355        +/- 0.01272      (51.63%)

  2516. 

  2517. correlation matrix of the fit parameters:

  2518.                 m3     b3     

  2519. m3              1.000 

  2520. b3             -0.884  1.000 

  2521. 

  2522. 

  2523. *******************************************************************************

  2524. Wed Jan 29 13:57:23 2020

  2525. 

  2526. 

  2527. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  2528.         format = x:z

  2529.         #datapoints = 96

  2530.         residuals are weighted equally (unit weight)

  2531. 

  2532. function used for fitting: f1(x)

  2533. 	f1(x) = m1*x + b1

  2534. fitted parameters initialized with current variable values

  2535. 

  2536. iter      chisq       delta/lim  lambda   m1            b1           

  2537.    0 3.4362111156e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2538.    5 8.1906309384e-02  -2.71e-06  4.20e-04    7.704586e-03  -3.881519e-02

  2539. 

  2540. After 5 iterations the fit converged.

  2541. final sum of squares of residuals : 0.0819063

  2542. rel. change during last iteration : -2.71272e-11

  2543. 

  2544. degrees of freedom    (FIT_NDF)                        : 94

  2545. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0295185

  2546. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000871344

  2547. 

  2548. Final set of parameters            Asymptotic Standard Error

  2549. =======================            ==========================

  2550. m1              = 0.00770459       +/- 0.0001087    (1.411%)

  2551. b1              = -0.0388152       +/- 0.006454     (16.63%)

  2552. 

  2553. correlation matrix of the fit parameters:

  2554.                 m1     b1     

  2555. m1              1.000 

  2556. b1             -0.884  1.000 

  2557. 

  2558. 

  2559. *******************************************************************************

  2560. Wed Jan 29 13:57:23 2020

  2561. 

  2562. 

  2563. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2564.         format = x:z

  2565.         #datapoints = 96

  2566.         residuals are weighted equally (unit weight)

  2567. 

  2568. function used for fitting: f2(x)

  2569. 	f2(x) = m2*x + b2

  2570. fitted parameters initialized with current variable values

  2571. 

  2572. iter      chisq       delta/lim  lambda   m2            b2           

  2573.    0 3.4163679604e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2574.    5 3.3096233718e-01  -6.35e-07  4.20e-04    1.019404e-02  -1.039903e-02

  2575. 

  2576. After 5 iterations the fit converged.

  2577. final sum of squares of residuals : 0.330962

  2578. rel. change during last iteration : -6.34593e-12

  2579. 

  2580. degrees of freedom    (FIT_NDF)                        : 94

  2581. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.059337

  2582. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00352088

  2583. 

  2584. Final set of parameters            Asymptotic Standard Error

  2585. =======================            ==========================

  2586. m2              = 0.010194         +/- 0.0002185    (2.144%)

  2587. b2              = -0.010399        +/- 0.01297      (124.8%)

  2588. 

  2589. correlation matrix of the fit parameters:

  2590.                 m2     b2     

  2591. m2              1.000 

  2592. b2             -0.884  1.000 

  2593. 

  2594. 

  2595. *******************************************************************************

  2596. Wed Jan 29 13:57:23 2020

  2597. 

  2598. 

  2599. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2600.         format = x:z

  2601.         #datapoints = 96

  2602.         residuals are weighted equally (unit weight)

  2603. 

  2604. function used for fitting: f3(x)

  2605. 	f3(x) = m3*x + b3

  2606. fitted parameters initialized with current variable values

  2607. 

  2608. iter      chisq       delta/lim  lambda   m3            b3           

  2609.    0 3.3848125011e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2610.    5 2.5228336259e-01  -7.56e-07  4.20e-04    1.414252e-02   3.661081e-02

  2611. 

  2612. After 5 iterations the fit converged.

  2613. final sum of squares of residuals : 0.252283

  2614. rel. change during last iteration : -7.55886e-12

  2615. 

  2616. degrees of freedom    (FIT_NDF)                        : 94

  2617. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.051806

  2618. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00268387

  2619. 

  2620. Final set of parameters            Asymptotic Standard Error

  2621. =======================            ==========================

  2622. m3              = 0.0141425        +/- 0.0001908    (1.349%)

  2623. b3              = 0.0366108        +/- 0.01133      (30.94%)

  2624. 

  2625. correlation matrix of the fit parameters:

  2626.                 m3     b3     

  2627. m3              1.000 

  2628. b3             -0.884  1.000 

  2629. 

  2630. 

  2631. *******************************************************************************

  2632. Wed Jan 29 13:58:23 2020

  2633. 

  2634. 

  2635. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  2636.         format = x:z

  2637.         #datapoints = 96

  2638.         residuals are weighted equally (unit weight)

  2639. 

  2640. function used for fitting: f1(x)

  2641. 	f1(x) = m1*x + b1

  2642. fitted parameters initialized with current variable values

  2643. 

  2644. iter      chisq       delta/lim  lambda   m1            b1           

  2645.    0 3.4403526879e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2646.    5 5.8545085309e-02  -3.77e-06  4.20e-04    7.054852e-03  -3.597290e-02

  2647. 

  2648. After 5 iterations the fit converged.

  2649. final sum of squares of residuals : 0.0585451

  2650. rel. change during last iteration : -3.77389e-11

  2651. 

  2652. degrees of freedom    (FIT_NDF)                        : 94

  2653. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0249564

  2654. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00062282

  2655. 

  2656. Final set of parameters            Asymptotic Standard Error

  2657. =======================            ==========================

  2658. m1              = 0.00705485       +/- 9.192e-05    (1.303%)

  2659. b1              = -0.0359729       +/- 0.005457     (15.17%)

  2660. 

  2661. correlation matrix of the fit parameters:

  2662.                 m1     b1     

  2663. m1              1.000 

  2664. b1             -0.884  1.000 

  2665. 

  2666. 

  2667. *******************************************************************************

  2668. Wed Jan 29 13:58:23 2020

  2669. 

  2670. 

  2671. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2672.         format = x:z

  2673.         #datapoints = 96

  2674.         residuals are weighted equally (unit weight)

  2675. 

  2676. function used for fitting: f2(x)

  2677. 	f2(x) = m2*x + b2

  2678. fitted parameters initialized with current variable values

  2679. 

  2680. iter      chisq       delta/lim  lambda   m2            b2           

  2681.    0 3.4211574311e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2682.    5 2.6291479735e-01  -7.71e-07  4.20e-04    9.231246e-03   6.884124e-03

  2683. 

  2684. After 5 iterations the fit converged.

  2685. final sum of squares of residuals : 0.262915

  2686. rel. change during last iteration : -7.71369e-12

  2687. 

  2688. degrees of freedom    (FIT_NDF)                        : 94

  2689. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0528863

  2690. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00279697

  2691. 

  2692. Final set of parameters            Asymptotic Standard Error

  2693. =======================            ==========================

  2694. m2              = 0.00923125       +/- 0.0001948    (2.11%)

  2695. b2              = 0.00688412       +/- 0.01156      (168%)

  2696. 

  2697. correlation matrix of the fit parameters:

  2698.                 m2     b2     

  2699. m2              1.000 

  2700. b2             -0.884  1.000 

  2701. 

  2702. 

  2703. *******************************************************************************

  2704. Wed Jan 29 13:58:23 2020

  2705. 

  2706. 

  2707. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2708.         format = x:z

  2709.         #datapoints = 96

  2710.         residuals are weighted equally (unit weight)

  2711. 

  2712. function used for fitting: f3(x)

  2713. 	f3(x) = m3*x + b3

  2714. fitted parameters initialized with current variable values

  2715. 

  2716. iter      chisq       delta/lim  lambda   m3            b3           

  2717.    0 3.3913334636e+05   0.00e+00  4.20e+01    1.000000e+00   1.000000e+00

  2718.    5 2.3694480729e-01  -7.66e-07  4.20e-04    1.283317e-02   5.976340e-02

  2719. 

  2720. After 5 iterations the fit converged.

  2721. final sum of squares of residuals : 0.236945

  2722. rel. change during last iteration : -7.65928e-12

  2723. 

  2724. degrees of freedom    (FIT_NDF)                        : 94

  2725. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0502065

  2726. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.00252069

  2727. 

  2728. Final set of parameters            Asymptotic Standard Error

  2729. =======================            ==========================

  2730. m3              = 0.0128332        +/- 0.0001849    (1.441%)

  2731. b3              = 0.0597634        +/- 0.01098      (18.37%)

  2732. 

  2733. correlation matrix of the fit parameters:

  2734.                 m3     b3     

  2735. m3              1.000 

  2736. b3             -0.884  1.000 

  2737. 

  2738. 

  2739. *******************************************************************************

  2740. Wed Jan 29 14:36:22 2020

  2741. 

  2742. 

  2743. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:2

  2744.         format = x:z

  2745.         #datapoints = 99

  2746.         residuals are weighted equally (unit weight)

  2747. 

  2748. function used for fitting: f1(x)

  2749. 	f1(x) = m1*x + b1

  2750. fitted parameters initialized with current variable values

  2751. 

  2752. iter      chisq       delta/lim  lambda   m1            b1           

  2753.    0 3.3471165272e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00

  2754.    5 3.1782264396e+00  -4.55e-08  4.13e-04    2.286134e-02  -1.673048e-01

  2755. 

  2756. After 5 iterations the fit converged.

  2757. final sum of squares of residuals : 3.17823

  2758. rel. change during last iteration : -4.55096e-13

  2759. 

  2760. degrees of freedom    (FIT_NDF)                        : 97

  2761. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.181012

  2762. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0327652

  2763. 

  2764. Final set of parameters            Asymptotic Standard Error

  2765. =======================            ==========================

  2766. m1              = 0.0228613        +/- 0.0006366    (2.785%)

  2767. b1              = -0.167305        +/- 0.03722      (22.24%)

  2768. 

  2769. correlation matrix of the fit parameters:

  2770.                 m1     b1     

  2771. m1              1.000 

  2772. b1             -0.872  1.000 

  2773. 

  2774. 

  2775. *******************************************************************************

  2776. Wed Jan 29 14:36:22 2020

  2777. 

  2778. 

  2779. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:3

  2780.         format = x:z

  2781.         #datapoints = 99

  2782.         residuals are weighted equally (unit weight)

  2783. 

  2784. function used for fitting: f2(x)

  2785. 	f2(x) = m2*x + b2

  2786. fitted parameters initialized with current variable values

  2787. 

  2788. iter      chisq       delta/lim  lambda   m2            b2           

  2789.    0 3.3024116864e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00

  2790.    5 5.7517450132e+00  -2.47e-08  4.13e-04    2.938265e-02  -1.574850e-01

  2791. 

  2792. After 5 iterations the fit converged.

  2793. final sum of squares of residuals : 5.75175

  2794. rel. change during last iteration : -2.4707e-13

  2795. 

  2796. degrees of freedom    (FIT_NDF)                        : 97

  2797. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.243508

  2798. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0592963

  2799. 

  2800. Final set of parameters            Asymptotic Standard Error

  2801. =======================            ==========================

  2802. m2              = 0.0293827        +/- 0.0008564    (2.915%)

  2803. b2              = -0.157485        +/- 0.05007      (31.79%)

  2804. 

  2805. correlation matrix of the fit parameters:

  2806.                 m2     b2     

  2807. m2              1.000 

  2808. b2             -0.872  1.000 

  2809. 

  2810. 

  2811. *******************************************************************************

  2812. Wed Jan 29 14:36:22 2020

  2813. 

  2814. 

  2815. FIT:    data read from 'complete-crossover-proba-modeling.csv' using 1:4

  2816.         format = x:z

  2817.         #datapoints = 99

  2818.         residuals are weighted equally (unit weight)

  2819. 

  2820. function used for fitting: f3(x)

  2821. 	f3(x) = m3*x + b3

  2822. fitted parameters initialized with current variable values

  2823. 

  2824. iter      chisq       delta/lim  lambda   m3            b3           

  2825.    0 3.2158355101e+05   0.00e+00  4.13e+01    1.000000e+00   1.000000e+00

  2826.    5 5.9043468411e+00  -2.61e-08  4.13e-04    4.315066e-02  -2.061953e-01

  2827. 

  2828. After 5 iterations the fit converged.

  2829. final sum of squares of residuals : 5.90435

  2830. rel. change during last iteration : -2.61444e-13

  2831. 

  2832. degrees of freedom    (FIT_NDF)                        : 97

  2833. rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.246718

  2834. variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0608696

  2835. 

  2836. Final set of parameters            Asymptotic Standard Error

  2837. =======================            ==========================

  2838. m3              = 0.0431507        +/- 0.0008677    (2.011%)

  2839. b3              = -0.206195        +/- 0.05073      (24.6%)

  2840. 

  2841. correlation matrix of the fit parameters:

  2842.                 m3     b3     

  2843. m3              1.000 

  2844. b3             -0.872  1.000