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R97.log
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MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #182: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2023 The MathWorks, Inc.
R2023a Update 4 (9.14.0.2306882) 64-bit (glnxa64)
June 19, 2023
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to parallel pool with 36 workers.
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [25.94246 12.96979 20.73808 5.920783 9.947434 17.73965 16.88194 5.442186 8.622089 91.94892 15.10516 8.792731 6.218186 12.76792 29.374 0.2480552 33.60642 46.43731 59.78166 18.87353 21.56873 26.44716 156.8336 58.70329 50.68415].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.054249 -0.21384 -0.23829 0.38981 0.25113 -0.077719 0.27256 0.36907 0.016093 0.76476 0.3451 0.070408 0.27182 0.22999 0.7961 -0.057826 0.28162 0.10155 -0.23476 0.37557 -0.02451 0.4754 0.47015 0.051491 -0.63076].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.053871 -0.26961 -0.090498 0.0049303 0.033145 -0.0070561 -0.0068827 -0.010381 -0.049049 0.044731 -0.23434 0.06568 -0.015843 -0.011348 0.14049 0.1686 -0.010985 0.18583 -0.063296 -0.0051985 -0.031721 0.00096284 -0.42009 0.38407 0.038552].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.035355 -0.037849 0.06032 0.0023835 0.016829 0.17198 0.012901 -0.22661 0.069776 -0.248 -0.18715 -0.021211 -0.0058542 -0.16495 -0.52704 0.1451 -0.016825 0.10217 0.037427 0.085024 0.018277 0.1795 -0.0014405 0.018612 0.067204].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18576 0.026578 0.0037481 -0.030645 0.0050628 -0.16751 0.0078093 0.20988 -0.0035409 0.24568 -0.10847 0.025505 -0.0040558 0.18573 -0.23321 0.070487 -0.10185 -0.028598 -0.114 -0.029653 0.0051279 -0.059974 0.094623 -0.11975 -0.48386].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [22.2056 26.57532 26.42099 19.34555 14.54511 28.24303 32.85149 16.85801 19.46154 41.80681 28.65479 6.559065 1.485878 16.62527 21.67142 6.672905 28.35475 44.87992 24.24199 31.99345 22.33497 35.45439 165.9205 47.88324 33.97363].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21148 3.1747 0.66217 0.54726 0.80176 4.5093 0.87792 1.0523 1.0803 2.4094 2.567 0.42589 0.023245 0.41268 -0.13283 -0.027635 2.621 1.1962 2.1113 0.59533 0.32157 1.154 4.836 1.9756 0.21504].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.066256 -0.35108 -0.0037936 0.13329 -0.13483 0.094209 0.23058 0.045862 -0.029161 0.55002 0.40948 -0.013415 -0.021114 -0.22135 0.083783 0.26556 -0.24963 -0.028154 -0.024971 0.037263 -0.0050924 0.2792 0.18854 -0.015567 -0.010798].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10285 -0.005831 0.17334 0.028381 0.040936 -0.037553 0.055511 0.18908 0.03427 0.10243 -0.0092309 -0.21286 0.025416 0.066388 -0.0058535 0.35812 0.53446 -0.26218 -0.40327 -0.014078 0.14762 0.021617 1.2062 -0.19109 -0.086333].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.053168 -0.072298 0.37707 -0.34935 -0.10029 0.034472 -0.033442 -0.24377 -0.14841 0.038765 -0.041385 0.2551 -0.092108 -0.1693 -0.063036 -0.1704 0.04108 -0.5914 -0.10199 -0.71346 0.0019702 -0.0011456 -0.51798 0.22619 0.071866].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.086732 -0.17074 -0.08695 0.17668 -0.052302 -0.061055 0.015657 0.17726 -0.090645 -0.039185 0.052796 0.060844 0.056621 0.30852 -0.077858 0.0093699 -0.11821 0.34886 0.46643 0.025527 3.0755e-06 0.10435 2.42 -0.037813 -0.58918].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03777 0.25415 0.023924 -0.42056 -0.099124 -0.12229 0.016013 0.083883 0.035534 -0.15198 -0.039883 -0.035536 -0.10265 -0.08598 0.22687 0.15482 0.074332 0.10134 -0.6167 0.02072 0.00036258 -0.23267 1.22 -0.017332 0.23267].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12284 -0.066138 0.12309 0.77669 0.064273 0.074628 -0.05275 -0.3042 0.056385 -0.016906 -0.084505 0.11837 0.00056481 0.090421 0.039588 0.11906 -0.10776 -0.37866 -0.17434 0.00090752 -0.00163 0.32814 -0.099319 -0.22196 -0.17085].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.065576 0.09996 -0.049033 0.17763 0.11873 0.091186 0.02077 -0.071988 0.16305 0.052876 0.14396 -0.093045 0.13401 -0.021595 -0.15297 -0.11982 -0.33228 0.15135 0.13006 -0.093534 -0.10975 -0.72271 -0.52553 0.26387 0.17307].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.059543 -0.0065073 -0.34391 -0.051646 -0.25298 0.057867 -0.30747 0.25541 -0.029027 -0.19629 -0.067488 -0.060668 -0.00026508 -0.12288 0.043135 -0.084365 0.23827 -0.16192 0.037717 0.067343 0.086254 0.24489 0.25753 0.03278 -0.075981].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.46476 -0.010305 0.52451 0.22718 -0.095061 0.18441 0.54797 -0.1464 0.040605 -0.081696 -0.17962 0.014281 0.092694 -0.034912 -0.50854 1.8959 0.41066 0.19677 0.21937 -0.0092905 -0.11202 0.032307 1.3961 0.18819 -0.1313].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.025369 -0.023779 -0.3672 -0.057651 0.02724 0.1359 -0.041257 -0.51904 -0.0086685 -0.66396 -0.032722 0.075582 0.16557 -0.13494 0.06413 0.35092 -0.66558 0.01404 0.40987 0.1845 0.22654 0.03378 0.44613 0.11786 -0.25215].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23544 0.38536 -0.59514 0.239 -0.16724 0.21994 -0.022157 0.05489 -0.23201 -0.46907 0.0057074 -0.021091 0.004948 0.0015909 0.22951 0.054316 -0.33979 -0.011865 0.085787 -0.028428 0.1799 0.34499 -0.049158 0.34977 0.027734].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.29234 -0.32785 -0.016689 0.00037863 0.29307 -0.055655 0.0015559 0.043239 0.18734 0.077724 -0.17003 -0.22342 -0.49579 -0.039288 -0.0077538 0.17376 0.10413 0.55803 -0.15958 0.4065 0.061671 -0.045064 0.020587 -0.044094 0.41482].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16017 0.4146 -0.039737 0.0064033 -0.017607 0.0096978 0.025279 -0.0031432 -0.18998 -0.11587 0.1339 0.37271 0.46106 0.0061135 -0.02554 0.12886 0.01581 -0.081221 0.10758 0.051834 -0.046891 0.021097 0.7019 0.033568 -0.0027739].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17737 -0.14117 -0.20193 0.010614 -0.098194 0.01912 0.01588 0.0048266 0.19147 0.017853 -0.29322 -0.15378 0.02417 -0.13741 0.0255 -0.071965 -0.00090427 0.17895 -0.075058 -0.031017 0.045284 0.039013 -0.020049 -0.015632 -0.20477].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-1.421 -0.65629 0.35333 -0.50087 0.21046 0.049409 -0.34751 -0.15965 -0.094057 -0.010517 -0.23295 0.078083 0.12907 0.0046293 0.061358 1.038 0.035585 0.12355 0.3116 -0.036211 -0.072773 -0.61397 0.67909 0.21823 0.3052].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25178 0.037255 0.48195 0.018171 -0.067462 -0.51957 0.055417 -0.073431 0.038953 0.54799 -0.049269 -0.034556 -0.004061 0.075204 0.097788 0.2988 -0.19798 -0.56074 -0.015174 -0.15042 -0.10239 -0.1885 -0.15814 0.10648 0.37339].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.32208 -0.065975 -0.04794 0.28323 0.022754 0.012425 -0.032504 -0.036256 -0.096909 0.0747 0.028903 0.052978 -0.01216 -0.040636 0.16925 0.16511 0.086233 -0.0013731 0.14214 -0.1963 0.026305 0.12626 0.29082 -0.41679 -0.45527].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.074327 -0.030154 0.13811 -0.024091 -0.02063 -0.015801 -0.17788 0.16924 -0.040903 0.28492 -0.060495 -0.074102 -0.22863 -0.17865 0.015681 0.1005 -0.051343 0.22853 0.078247 -0.19514 -0.16566 0.047665 0.58545 -0.12061 -0.22484].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.050873 -0.0016218 -0.16045 0.076817 -0.12518 0.49118 -0.15749 0.03555 0.033179 0.0045551 0.10121 0.073729 0.080804 0.16542 -0.17822 0.027532 0.19588 0.16556 0.11638 0.23851 0.12502 -0.20716 0.54956 0.18316 0.18759].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.048885 -0.14047 -0.20476 0.012689 0.078977 -0.8542 0.16342 -0.097948 -0.22132 -0.026209 0.037716 -0.025057 0.016381 -0.19114 0.14968 -0.025439 -0.24369 -0.26467 0.05457 -0.051343 -0.070211 0.15023 -0.31281 -0.030407 0.025134].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.059176 0.1677 -0.10409 -0.034619 -0.019216 0.76149 -0.3595 -0.38309 0.17444 -0.10083 -0.090683 0.023904 -0.10689 0.19329 -0.19256 -0.063694 0.33869 0.20549 -0.067065 -0.0088934 -0.062186 0.06322 -0.4452 -0.0053362 -0.12925].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.042008 -0.059616 0.47712 0.033877 -0.49381 -0.05436 0.34207 0.53083 -0.017808 -0.35572 0.05888 -0.001585 0.15191 -0.097649 0.026789 0.016451 0.022338 -0.012478 0.039531 -0.011783 0.086177 -0.12729 0.7115 -0.13114 0.072414].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.080542 0.028275 -0.066005 -0.0099663 0.47047 0.075268 -0.0085186 -0.10436 0.037923 0.45074 -0.012203 -0.00017788 -0.17638 -0.065628 -0.22435 0.083344 -0.096529 -0.2156 0.045925 0.072244 0.013453 0.091907 -0.22677 0.13266 0.067895].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21649 -0.19377 0.5319 0.010241 0.031694 -0.063716 -0.063879 0.035747 -0.37346 -0.74313 -0.034347 0.095496 0.20366 -0.0067935 -0.040568 1.2964 0.05948 0.02866 -0.12423 -0.11454 0.51468 -0.12324 1.3232 0.0015884 -0.033538].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01297 0.085908 0.041931 -0.086765 0.19619 0.021497 -0.098799 0.081467 -0.10625 0.54482 0.29447 -0.12975 -0.027619 -0.4972 -0.089885 0.31987 -0.26259 -0.22524 -0.075314 0.014872 -0.11707 -0.87993 0.33837 -0.0096664 0.071481].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.51971 0.068743 -0.17139 -0.15113 0.0053606 0.2505 0.62306 -0.018121 0.021038 -0.016104 -0.041854 0.34771 -0.42034 0.47231 0.25254 -0.28295 -0.10278 0.067427 0.061896 -0.013182 0.10959 0.016126 0.47791 -0.064994 -0.72562].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.56752 0.019827 -0.040781 -0.079424 -0.10544 -0.044814 -0.090315 -0.0034878 -0.02873 -0.29616 -0.074258 0.13919 0.0086539 -0.18746 -0.25819 0.29208 -0.015454 -0.41394 -0.10204 -0.11853 -0.022892 -0.11554 -0.52732 0.1746 -0.67562].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.59239 0.085128 -0.10565 0.079703 0.11074 0.08467 0.22928 0.01192 0.026951 -0.39223 0.10199 -0.26076 -0.057249 0.074161 0.26602 0.015305 0.0078944 0.46635 0.047144 -0.3463 -0.023765 0.30201 1.1618 -0.030716 0.087558].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24003 -0.05919 0.093376 -0.088856 0.021178 -0.23599 -0.041094 -0.010264 0.037569 -0.1123 -0.57448 -0.14316 0.06469 -0.52425 0.4037 0.0076331 -0.015194 0.053345 0.028774 0.44296 0.01522 -0.14323 0.28277 -0.21499 0.067537].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.27332 0.046768 0.056925 0.081402 -0.060879 -0.091438 0.0018113 -0.0063597 -0.00091628 -0.43625 0.0027046 0.39938 -0.0010767 0.13894 -0.26994 -0.0060063 -0.039557 -0.27649 -0.11805 0.036961 0.014745 -0.12636 -0.99272 -0.23261 -0.0069269].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.57943 0.012097 -0.093468 -0.059339 0.015788 0.30412 -0.2426 -0.12328 -0.011514 0.91851 0.0079111 0.088501 -0.00362 -0.014023 -0.41884 -0.056409 0.061833 0.18563 0.12822 -0.037025 -0.038531 0.22109 -0.057142 -0.10237 0.32252].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.56571 -0.1158 0.073785 0.064892 -0.33438 -0.23054 -0.29624 0.096059 -0.1487 0.1842 2.0065e-05 -0.091728 -0.050978 0.076125 0.30008 0.038298 -0.0084839 0.11942 -0.019583 0.0074338 0.033577 -0.51862 0.044545 0.24215 -0.70637].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.056659 0.11654 0.0061859 -0.013429 0.21052 0.27063 0.34308 0.043687 0.14163 -0.25787 -0.052104 -0.079874 0.066127 -0.044367 0.22823 0.018303 -0.053797 -0.2116 -0.03553 0.023367 -0.12271 -0.077463 -0.40113 -0.5955 0.0070576].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
Done.
# Age model construction algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.074035 -0.016047 0.010484 0.038551 0.10845 0.17779 -0.89299 -0.030442 -0.059533 0.24866 0.0089848 -0.052611 0.11862 -0.10349 -0.9328 1.7615 -0.21024 -0.46175 -0.35644 -0.0026756 -0.067147 -0.055567 -0.38421 0.34299 0.12749].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.041643 -0.0083436 -0.031767 -0.33419 -0.15775 -0.028944 0.059285 0.10951 0.17319 -0.21989 0.22771 0.0019206 0.00068287 0.22802 -0.0234 0.30795 0.02368 -0.068987 -0.094189 0.22192 -0.066883 0.014384 -0.44311 0.39758 0.32542].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20968 0.038074 0.12541 -0.033199 -0.055176 0.012476 0.30616 -0.19948 -0.13134 0.075927 -0.35361 -0.019927 -0.039873 -0.19931 -0.018353 -0.20917 0.099664 -0.0085343 0.027476 -0.061485 0.044673 0.074278 -0.027611 -0.045623 0.93577].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.079823 -0.6235 0.08107 0.20874 0.017951 0.011625 0.074989 0.098304 0.035001 -0.57129 0.03546 -0.015465 0.0071582 -0.0082643 -0.1036 -0.066434 -0.15325 -0.0014207 0.050391 -0.048058 0.0014868 -0.076159 0.1256 -0.90146 0.21056].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.70735 0.1326 -0.054877 0.15469 -0.0013407 0.0096361 -0.27551 -0.12827 -0.0328 0.13451 -0.25226 0.013937 -0.047668 -0.020993 0.097192 -0.034669 0.25802 0.003624 0.020728 0.05435 -0.22737 0.14049 -0.35503 0.12708 -0.84675].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17826 -0.022759 0.055067 -0.34844 -0.018861 0.0044699 0.17167 -0.11972 0.041948 -0.014591 0.17077 -0.047327 0.046453 -0.023256 -0.18443 0.074996 -0.24098 0.0026433 0.02206 -0.097428 0.14842 -0.17532 0.30322 -0.046684 0.1211].
# Parameters are learned. Sampling algorithm is now running...
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# Results and figures are being stored...
[Warning: MATLAB has disabled some advanced graphics rendering features by
switching to software OpenGL. For more information, click <a
href="matlab:opengl('problems')">here</a>.]
Done.
Results and figures are stored in Outputs/R97_d18O_stack.
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Parallel pool using the 'Processes' profile is shutting down.
Time elapsed = 12937 s