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R58.log
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node103.podcluster
< M A T L A B (R) >
Copyright 1984-2021 The MathWorks, Inc.
R2021b Update 1 (9.11.0.1809720) 64-bit (glnxa64)
November 2, 2021
[Warning: Unrecognized command line option: nospxlash.]
To get started, type doc.
For product information, visit www.mathworks.com.
>> Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 40).
>> Number of workers: 40
>> >> >> >> >> >> -------------------------------------------------------------------------------------------
## 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 [68.39532 10.74242 59.30547 36.91869 13.9129 7.567189 56.19566 14.83528 27.71754 11.01093 61.45763 18.77022 52.95435 27.15936 11.21585 62.23435 10.11752 34.6558 35.54014 29.30031 72.87725 150.0711 50.40661 9.976935 13.63109 6.069026 58.39247 51.91648 7.194761 12.29378 530.1276 18.68734 16.25333 131.9115 134.769 32.99874 88.29696 116.9453 90.17577 99.1238 36.6398 12.53834 17.59931 325.661 25.97789 35.71578 13.49112 28.74042 50.56243 41.54224 91.11416].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.995888 0.692397 3.09768 -0.118447 0.323221 0.0436619 0.0818709 0.274243 -0.466504 -0.0534244 1.14617 0.551958 3.05708 2.74657 0.291717 4.29006 0.7699 1.44146 0.445277 0.473478 1.60319 2.27985 0.44844 -0.325738 0.990399 0.0646968 0.600974 0.990039 0.556503 -0.23674 12.6675 1.36293 0.692278 18.5854 4.80727 5.51665 1.08097 0.663145 3.06669 3.92302 1.34263 -0.0962612 0.785084 8.9316 1.72579 1.26175 0.683628 0.787543 0.934124 1.4417 4.50894].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.050793 0.14622 0.66015 0.012598 0.038001 -0.088577 0.10577 -0.11031 -0.27221 -0.067125 0.050425 -0.18987 0.27419 -0.052034 -0.15032 0.14836 -0.077344 -0.16056 -0.11138 0.24718 0.087834 0.5773 -0.084922 0.0077123 0.072172 -0.26653 0.94691 -0.29138 -0.11151 -0.22864 0.88828 0.22831 -0.14146 1.223 0.22963 0.30878 3.5374 -0.62636 -0.047799 -0.3088 0.46764 -0.027487 0.15577 0.62563 -0.088362 1.344 -0.05798 -0.19091 0.01086 -0.10176 0.59586].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24649 -1.5939 0.19891 -0.18608 0.022633 0.016677 0.2726 0.073799 -0.12673 0.0019749 -0.068707 -0.0030596 -0.027716 0.037432 0.083637 0.19225 -0.08839 0.12927 -0.17312 -0.54878 0.11626 0.036564 0.16445 -0.17372 -0.11563 0.03602 -0.011029 0.17396 0.069345 -0.061472 -0.30702 0.012563 0.0027255 0.37543 0.021109 0.22411 -0.39355 1.0458 -0.0072336 -0.05636 0.17912 0.091114 0.12721 0.051094 0.057485 -0.055628 -0.035765 0.02376 0.11571 0.043579 -0.13751].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2164 -0.48675 -0.13753 0.38623 0.0091662 0.099702 -0.36417 -0.047126 -0.024299 -0.0063752 0.083536 -0.017426 -0.28466 0.10807 -0.066721 -0.19458 -0.0088475 -0.00072269 -0.093688 -0.056426 -0.00015082 -0.57019 -0.47054 0.57628 0.13056 -0.045249 0.016482 -0.023774 -0.016998 0.038454 0.1445 0.0026073 -0.049324 -0.013052 -0.0039841 0.023539 -0.2857 0.48853 0.003356 0.005129 -0.71568 0.30872 -0.30797 -0.092155 -0.11167 0.068363 0.024635 -0.063258 -0.0035214 -0.026696 0.1103].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.3659 0.70302 0.1605 -0.18672 0.0028968 -0.16397 0.062586 -0.071468 0.1489 0.008544 -0.009481 -0.1049 0.17577 -0.002452 -0.05311 -0.15502 0.10871 -0.58083 0.13104 0.0019546 -0.014672 0.25328 0.10928 -0.010127 -0.050046 0.028212 -0.045283 -0.16763 -0.0046272 -0.10934 0.22183 -0.020375 0.0021529 -0.038917 0.0041201 -0.0016678 0.33851 -0.13905 -0.32178 -0.012704 0.094748 -0.1992 0.27648 0.15863 0.00036057 -0.024834 -0.093539 -0.05704 -0.04339 0.0045645 -0.029064].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12331 -0.2065 -0.35313 0.17703 -0.033098 0.13856 0.30625 -0.0035528 -0.0033163 -0.0014786 -0.10707 0.16774 -0.049005 -0.0083156 0.12587 -0.054734 -0.10852 0.0067342 -0.15244 -0.19175 -0.10515 -0.10731 -0.085373 -0.090053 0.047133 0.0027284 -0.050273 0.056412 -0.23675 0.03093 -0.047915 -0.10963 0.048437 0.05146 -0.0013462 -0.13412 -0.8568 0.35136 0.019361 0.021406 0.039075 0.15889 -0.14071 -0.27104 0.11206 0.024927 -0.20094 0.11454 -0.10515 0.043054 0.022002].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.35984 0.45785 0.16593 0.12 0.047428 -0.043341 -0.11617 0.053092 -0.29854 -0.0016766 0.062758 -0.10436 -0.28732 0.1033 0.02026 -0.22842 0.00056709 -0.0010389 0.21337 -0.15457 -0.0229 0.12945 -0.12036 -0.40816 -0.2665 -0.056335 0.079282 0.13554 0.21402 0.063478 0.050615 0.11989 -0.0026766 -0.001093 -0.016269 0.13396 0.14632 0.010567 -0.49152 -0.016383 -0.0068942 0.019597 -0.095343 -0.036382 0.0037825 -0.2298 0.16864 -0.042433 -0.202 -0.13927 0.033002].
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 [23.671644 15.449535 83.745828 66.538737 4.6232598 29.945118 100.12886 5.4760422 68.00425 14.960291 15.162221 41.697854 48.610373 2.2722909 90.425531 66.686882 92.868711 96.638437 89.279185 47.685015 160.10244 108.51108 278.32537 48.247297 85.116653 2.4934826 32.889681 140.57607 13.36511 7.8782385 1245.3608 23.500884 26.861643 29.015451 31.992658 55.520887 66.814899 154.43783 86.524245 96.508393 73.534005 4.1294609 24.311237 777.00557 9.4132674 115.7961 49.171852 31.996334 140.79851 44.936293 36.330529].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.6541316 1.197231 1.193802 12.09893 0.1390414 -0.09714806 4.977289 0.4935292 3.182082 0.8494179 -0.06093486 3.267706 4.249137 0.8141248 4.098038 5.578742 0.4570078 6.611565 7.963012 6.806847 15.13503 20.98963 21.44105 2.637537 8.723306 0.09545346 1.278141 4.514436 0.5166528 1.936176 101.6857 0.1214468 2.481964 4.067897 1.893556 5.673968 3.48231 4.834078 7.340678 7.655533 0.6661637 1.307388 -0.3593987 76.4399 0.07256582 7.268861 2.296075 1.937349 12.64853 2.039965 1.095401].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.34854 -0.241473 0.532867 -0.454361 0.0467635 -0.032142 0.0493453 -0.388659 -0.833671 0.160667 -0.0829361 0.403867 1.38479 -0.0414572 2.01594 0.379789 -0.0106656 0.390941 0.640004 1.56502 6.03883 2.61133 3.39805 -0.048065 6.45511 -0.0186557 0.429316 3.0789 1.24159 -0.312975 11.2728 2.58412 1.03959 0.0770143 0.139232 0.421763 1.77801 1.85927 2.80986 1.51141 0.469757 -0.192535 0.035562 10.2486 -0.0422343 1.14053 0.0398352 1.81949 1.99407 0.407236 0.313333].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.068108 1.1222 1.0774 1.2034 -0.01769 0.095236 0.37606 0.027327 -0.7244 -0.42012 -0.036341 0.070557 1.4419 0.37678 1.0091 0.88709 -0.027846 0.20092 -0.39242 0.2705 0.43549 1.0444 0.5407 -0.11622 1.8083 -0.070659 -0.34858 -0.63494 -0.47379 -0.29122 2.2117 0.077072 0.23146 0.13724 0.03988 0.1495 -2.2108 -0.62197 0.051462 0.31795 0.9387 -0.33087 0.99876 1.9755 0.28628 1.2455 -0.065344 0.63592 0.61184 -0.093398 -0.44033].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.096414 0.21153 -0.036952 0.66468 0.013336 0.29458 -0.35677 0.0017207 0.38873 0.37819 -0.030431 0.043787 -0.10428 -0.0014061 0.2627 0.93533 0.11243 0.12559 0.1923 -0.22138 -0.30453 0.41883 0.72262 0.010369 1.8728 0.079399 0.22274 -0.12645 0.49723 0.36939 0.3017 -0.024313 -0.077272 -0.056584 0.085256 0.74816 -0.25225 0.31206 -0.25751 -0.26868 0.11626 0.062116 0.15598 -0.27328 -0.22593 -0.033635 0.075536 -0.046815 0.2011 0.12361 0.50606].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13339 -0.10456 0.069695 -0.11132 -0.017541 0.10261 -0.73939 -0.014447 -0.3568 -0.062092 0.052253 -0.54647 -0.039439 -0.22173 -0.0082581 0.0058915 -0.095063 0.038221 0.3074 0.27351 0.2299 0.058778 1.0802 0.050171 -0.54964 -0.00075569 -0.070807 0.15452 -0.38386 -0.11652 -0.69176 -0.01306 0.10172 0.052549 -0.059385 0.25036 -1.8214 -0.35756 0.26844 0.38318 0.0098769 -0.38583 0.02521 0.28809 0.33576 0.15604 -0.23652 0.043779 0.2001 -0.012092 0.47408].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.085964 0.15454 0.14084 0.035905 -0.022263 0.00099248 -0.22302 -0.079029 0.11732 0.11176 -0.27744 0.24345 0.033522 0.21402 0.45863 0.038349 -0.024078 -0.31603 -5.4626e-05 -0.0045176 -0.22206 -0.022196 0.15721 -0.10928 0.05325 -0.050268 0.1323 0.073916 0.70242 -0.019889 -0.15634 0.001842 -0.022992 -0.16905 0.066012 0.0025999 -0.01943 -0.069114 -0.054679 0.018445 -0.0045332 0.34504 0.0087308 -0.23687 -0.080167 -0.85268 -0.94764 0.17755 0.17901 -0.044482 -0.18237].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.04487 -0.29321 -0.52965 0.034519 0.03855 -0.035723 0.28147 0.050391 -0.6176 -0.09171 0.11384 -0.015244 0.040733 0.0044466 -0.67441 -0.0065547 0.11571 -0.039637 -0.060167 -0.034061 -0.11834 -0.067778 0.0073891 0.13015 -0.034835 0.049444 -0.5939 -0.34248 0.29163 0.031016 -1.0686 0.060798 0.022283 0.080801 0.044176 -0.067643 -0.549 -0.43302 0.05161 0.012953 0.0046567 -0.080837 -0.014177 -0.050087 0.069426 -0.12297 0.037334 -0.031043 0.02351 0.003788 -0.31337].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051366 0.024172 -0.21398 -0.06768 -0.027097 0.069234 -0.10208 0.0063672 -0.59773 0.12466 -0.028609 -0.1046 -0.041575 -0.01585 -0.11571 0.0073633 -0.17623 0.39195 -0.081256 0.028267 0.40776 -0.011419 -0.43223 -0.1072 0.047525 -0.0055563 -0.55233 -0.0013536 0.10808 0.09907 0.40248 -0.0064412 -0.10071 0.055216 -0.15644 -0.10542 -0.01508 -0.48296 -0.00012845 -0.025082 -0.024997 -0.26156 -0.027265 -0.43273 0.0032673 0.30583 -0.15254 0.056853 -0.69124 0.0062238 0.51475].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.041407 0.21736 0.16254 -0.11023 0.022279 -0.21955 -0.1831 0.041329 -0.022743 -0.20829 0.22385 0.13826 0.040463 -0.55589 0.026817 -0.069503 0.15336 -0.26562 0.016021 -0.0066431 -0.33924 0.095349 0.51996 -0.012326 -0.084245 0.0034802 -0.0623 0.20265 -0.75182 -0.16678 0.60257 -0.00051553 0.1649 0.026229 0.037736 0.14455 -0.090324 1.0676 -0.027635 0.020563 -0.0075976 0.35596 0.015034 0.68067 -0.25153 0.0029501 0.12153 -0.12272 0.2395 -0.015104 0.0061867].
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 [0.00055664 0.43029 1.2343 0.086778 -0.043376 0.23036 0.12116 -0.018656 -0.063039 0.075404 -0.027387 0.96508 0.21309 -0.35492 0.50954 -0.34897 1.1189 0.082009 -0.1675 0.82509 1.7413 0.27298 1.6674 0.58721 0.19017 0.32353 0.1257 2.4641 0.0040889 -0.16633 4.0354 0.037378 -0.08446 -0.13729 0.013818 -0.12446 0.47423 0.49229 0.60881 0.045553 0.58586 0.56712 0.2872 6.544 0.10062 0.16177 0.060164 0.83292 2.0497 -0.079535 3.9075].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10706 0.090046 0.3051 0.27079 -0.23969 0.16018 0.058959 0.039855 0.0028661 -0.13155 -0.039259 0.57834 0.24803 0.36838 -0.17311 -0.51614 0.017155 -0.29867 -0.064067 0.94996 0.0091651 3.5968 1.5743 0.13423 0.93799 0.0034699 -0.19405 0.073226 0.57948 -0.034573 -0.33044 0.33151 0.0078164 0.16809 -0.011988 -0.14451 0.07374 0.19758 -0.049277 -0.24677 0.12736 -0.26704 -0.017174 -0.89625 0.077692 0.40032 -0.20174 0.0081085 2.3605 -0.086889 -0.0021038].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.073737 0.24545 -0.038343 -0.020144 0.11517 0.036433 -0.12907 0.010133 0.02424 -0.34288 0.074904 0.03056 -0.089222 0.0084997 -0.26987 -0.17638 -0.4217 0.36092 -1.5871 0.13485 0.24824 -0.062727 0.21977 -0.093425 -0.12143 -0.0020235 0.61668 0.084783 -0.0514 0.0035277 0.26078 -1.0158 -0.047425 -0.40493 0.089131 -0.12295 0.086072 -0.51738 0.3444 0.053226 0.10319 -0.14909 -0.1193 -0.69934 -1.4749 -0.023874 0.014701 0.36792 -0.084798 0.15707 -0.55206].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.26242 -0.1385 0.17503 0.049878 -0.13278 -0.0054862 -0.25733 -0.12151 0.018298 0.049475 -0.29249 0.19188 0.13479 0.32893 0.57159 0.22529 0.20378 -0.054043 0.0014258 -0.16851 0.02378 0.41983 0.16953 0.18604 -0.19666 0.0020852 0.19961 -0.28576 -0.0062469 -0.0090555 0.4203 -0.32881 -0.02508 -0.26984 -0.019973 -0.064622 -0.031022 0.081138 -0.092202 -0.042338 0.15742 -0.11619 -0.24753 -0.13794 -0.02174 0.050373 -0.076296 -0.1374 0.074803 0.38303 -0.14733].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32534 -0.18518 0.20114 -0.10419 0.10444 0.032487 0.25484 0.10979 -0.18112 -0.011704 0.12319 -0.56802 -0.85172 -0.66598 0.45326 -0.0099394 0.13967 -0.20121 0.01278 0.27269 0.086781 0.35171 0.033841 -0.16329 0.2085 0.00028468 0.13324 0.36178 -0.011578 0.012514 0.51775 0.33224 -0.026484 -0.5003 0.011171 -0.012726 -0.38168 -0.0562 -0.018122 0.03815 -0.080147 0.13824 0.22036 0.97803 0.0069453 -0.089828 -0.17168 0.13619 -0.019234 -0.089852 -0.24257].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12364 -0.26011 -0.27935 0.13117 -0.0063115 -0.0026969 0.024244 0.0055207 -0.42547 0.057956 0.15188 0.15732 0.10518 -0.19527 -1.3713 -0.066584 -0.70459 0.29761 0.012311 -0.099814 -0.0012236 -0.59123 -0.034956 -0.054187 0.010327 -0.036019 -0.19172 -0.16956 -0.019679 -0.081593 -0.3173 0.0077697 0.028197 0.13979 0.066036 0.037524 0.262 0.036479 -0.075174 0.00029109 0.040874 0.0016192 -0.0084125 0.44961 -0.04888 -0.33925 0.35738 -0.1023 0.022442 -0.058404 0.37873].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.48666 -0.45082 0.2724 -0.47502 -0.12759 -0.080408 -0.076849 -0.074173 0.062795 -0.012397 -0.29638 -0.12999 -0.030592 0.24385 -0.087366 -0.076509 -0.15312 -0.026902 -0.0033011 0.15492 -0.0057319 0.0094001 0.014848 0.21463 -0.092358 -0.015704 -0.030872 0.093661 0.025144 0.08997 0.30296 0.00088467 0.0019895 -0.058695 -0.034363 0.0082697 0.20397 0.057192 0.24218 -0.17627 0.093311 -0.15486 -0.17679 0.058124 -0.092338 0.008005 -0.21252 0.10212 -0.0055935 0.25977 -0.27483].
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 [-0.53811 0.035179 0.17574 -0.052433 -0.10128 0.027389 0.028436 -0.029175 -0.1396 -0.55704 -0.024184 0.02763 -0.0082401 -0.092313 -0.12349 -0.11414 0.035626 -0.0071682 -0.14117 0.027016 -0.0096493 -0.40916 -0.37124 -0.27651 -0.0010048 -0.079333 -0.10361 -0.37706 0.074551 -0.15342 1.1298 0.11358 -0.065376 0.62411 -0.077463 0.24698 0.10236 -0.0601 0.35696 -0.02023 -0.6178 0.49367 -0.11407 0.35793 0.0103 -0.80984 0.23779 0.045157 1.8577 0.15032 0.12155].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0037671 -0.11341 0.13356 -0.0053638 0.14947 0.010055 0.11457 0.0038714 -0.13251 0.16075 0.67833 -0.63009 -0.56731 -0.59446 0.05915 0.18489 0.69142 0.29031 -0.30776 -0.022549 0.080733 -0.10734 0.87019 -0.037913 -0.38539 0.121 -0.99112 -0.22685 0.0043938 0.10244 -0.056252 0.078987 0.037809 -1.0201 -0.087801 -1.2142 0.17387 -0.049893 -0.35689 0.1472 -0.023872 0.072954 0.74121 1.5 0.048413 0.71245 0.43676 0.15066 -0.19707 0.013025 0.13352].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.086564 -0.023227 -0.78608 -0.14636 -0.040672 -0.0407 0.0090619 -0.29171 -0.00058421 -0.046932 0.0060496 0.018138 -0.53259 -0.27609 -0.0044154 -0.24961 0.28682 0.05767 -0.030882 0.29884 0.037232 0.1437 0.10842 -0.073235 0.30647 -0.15123 0.064532 0.32953 0.042974 -0.00034614 0.44958 0.11236 -0.079535 0.0037246 0.0053556 0.22468 -0.19438 0.053323 0.059489 -0.068986 -0.092725 0.074705 -0.0020396 0.33845 0.16223 0.26953 -0.17675 0.30855 -0.36769 0.12017 -0.136].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.055305 0.011451 -0.8133 -0.043791 0.039411 -0.065807 -0.040942 0.024027 0.011881 -0.0099838 0.11094 -0.057428 0.20351 0.3677 -0.076712 0.044392 0.011092 -0.37031 0.16052 -0.73449 -0.00097571 -0.030916 -0.96543 0.025962 0.22883 0.049047 -0.070883 -0.75869 0.027835 -0.023138 -1.0764 -0.053649 -0.036877 0.047545 0.032218 0.34077 -0.036712 0.042659 0.17379 0.18805 0.28092 0.16955 0.015483 -0.44568 0.26887 -1.4223 0.28691 0.017086 -0.84217 0.085463 0.22807].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.29027 0.047261 0.066956 0.036397 -0.0038518 -0.16175 -0.86988 0.051053 0.073089 0.01401 -0.20836 0.073175 -0.26321 -0.30562 0.11938 0.011963 -0.076595 0.40722 -1.2791 0.24242 -0.063854 0.46655 1.4811 0.020533 -0.005988 0.003923 0.086844 0.03172 0.0042345 -0.0087122 0.18471 -0.39336 0.038419 -0.15831 -0.094657 -0.10121 -0.5401 -0.043509 -0.56227 0.49312 0.22667 -0.13224 0.023018 0.36467 -0.16078 -0.46271 -0.19379 0.059953 0.14211 -0.16113 -0.95228].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00020291 -0.015885 -0.19763 -0.11832 0.022224 -0.27796 -0.06733 -0.020002 -0.029988 -0.0065598 0.17525 -0.032986 -0.36976 0.12521 -0.0082665 -0.47726 -0.66867 -0.019819 0.027606 -0.094546 0.085233 0.0094207 0.14584 -0.02355 -0.15745 -0.062947 0.0024512 -0.37045 -0.013084 0.0011878 0.082053 0.35676 0.0021425 0.14931 0.095552 0.31227 -0.59743 0.058305 0.0033782 -1.4724 0.12861 -0.14881 -0.0016852 0.040595 0.084189 0.23606 0.21664 -0.2156 -0.095093 0.043816 -0.43373].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0258 0.012594 -0.80837 -0.14937 -0.10383 0.59135 -0.00034631 0.015261 -0.32034 0.0086906 0.02403 -0.1028 0.46781 0.14013 -0.0092477 0.40234 -0.070624 0.066435 0.036005 -0.1372 -0.10084 -0.021349 -0.61277 -0.14999 -0.0054726 0.060144 0.009652 0.066776 0.012372 0.022241 0.033529 0.018667 -0.1867 -0.1908 0.018301 -0.77064 0.056976 -0.014443 -0.11625 -0.055175 -0.26379 0.1212 -0.10673 0.0029289 0.078857 0.13725 -0.45099 -0.032456 0.098152 0.14386 0.45919].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.017262 0.001541 -0.065404 0.16483 -0.040825 0.1349 -0.35775 -0.0068227 0.422 -0.128 0.010191 -0.26237 0.17792 -0.20065 0.044828 -0.05915 0.075112 -0.058089 -0.23982 0.25187 -0.29521 -0.068903 0.77147 0.10245 -0.13242 -0.084239 -0.047028 -0.36084 0.0029526 -0.0055159 -0.23958 -0.11531 -0.028081 -0.0070437 -0.046311 0.18077 -0.37155 -0.62748 -0.19536 0.028795 -0.60222 -0.26488 -0.030179 -0.87452 -0.11158 -0.51338 0.305 0.20634 -0.041206 -0.25686 -0.18615].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.34206 -0.071191 0.015394 0.10301 0.065101 0.19891 0.47244 0.0049071 0.14761 -0.011324 -0.018537 0.38239 -0.79999 -0.091764 -0.16155 -0.26974 -0.051606 -0.75619 0.17877 -0.068197 0.32217 0.08882 0.60478 -0.013773 0.3213 0.085692 0.057603 0.74903 -0.030223 -0.0067037 -0.30593 0.072176 0.17555 0.082833 0.056163 -0.10116 0.38603 0.98632 0.25786 -0.048114 -0.32487 0.40887 0.044298 -0.6145 -0.031946 0.012969 -0.074905 0.04891 0.042276 0.121 0.18744].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.26843 -0.073536 -0.021559 -0.040518 0.039379 -0.099962 -0.11878 -0.016763 -0.003376 0.013941 0.025933 0.012007 0.012269 0.16911 0.18583 -0.026569 -0.34714 0.0066926 -0.016739 -0.11985 -0.22919 -0.26318 0.37078 -0.12988 -0.27734 -0.01461 -0.19371 -0.0022152 0.019632 0.0031663 -0.42812 0.089977 0.010114 0.12834 -0.011191 0.055783 -0.064846 -0.34471 0.086882 -0.0056264 0.41221 -0.07509 0.061085 -0.15003 -0.13667 -0.84259 -0.20506 0.013657 0.00044443 0.086637 -0.18106].
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 [-0.03452 -0.35426 0.48703 -0.20989 -0.0074497 -0.028602 -0.34161 0.13983 -0.12625 -0.50534 -0.062942 0.41541 0.080617 -0.10669 -0.080881 0.14367 -0.45597 0.28562 -0.34541 0.045695 -0.62031 -0.36869 -0.27145 -0.12577 -0.63219 0.15598 -0.054343 -0.76273 -0.055937 -0.023664 0.51633 -0.10121 -0.3022 0.13093 -0.00059803 0.022121 -0.21182 0.49031 0.15312 0.11639 -0.037382 -0.059512 -0.67052 -1.7134 0.38273 0.95596 0.18805 0.69808 1.9369 0.015964 0.098229].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13744 0.0090665 -0.0037774 -0.099584 0.026283 -0.011551 0.12147 0.22563 -0.12552 0.19928 -0.12963 0.41896 0.13516 -0.088031 -0.02959 0.0027898 1.1427 -0.25916 0.039109 -1.9464e-05 0.14769 -0.44379 1.1237 0.1256 -0.34043 0.011306 0.27177 -0.66525 0.10069 -0.013829 0.60928 0.055532 0.10507 -0.21567 -0.27351 0.19066 0.14117 0.11164 0.34658 -0.15202 1.9098 0.14018 0.43082 0.50609 -0.012809 -0.11225 0.0045069 0.4292 -0.21913 0.023191 -0.24054].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.096715 -0.0069186 -0.10016 -0.36431 0.31224 -0.055652 0.029887 -0.081652 -0.01058 0.001427 -0.0091418 -0.038078 -0.45795 -0.57624 -0.27616 0.13147 -0.5474 0.081444 0.14108 0.12449 -0.44528 0.01018 1.4811 0.091694 0.11572 -0.0031693 -0.32641 0.055587 0.066186 0.11225 -1.254 0.21155 0.023104 0.025156 0.0087188 -0.12412 0.047565 0.49577 -0.28648 -0.18133 -0.86342 0.029927 -0.084604 0.091269 0.01916 0.30873 -0.088206 -0.016578 0.41316 -0.16638 0.19693].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.013164 -0.15723 -0.022072 -0.064874 0.046617 0.013911 0.057065 -0.021677 -0.64651 -0.084974 -0.34737 -0.014293 0.26686 -0.16469 -0.020261 -0.066784 -0.011945 0.18038 -0.24242 -0.29112 0.073376 -0.059604 -0.028821 0.40074 -0.0021453 -0.35768 0.042306 -0.024031 -0.035449 -0.036231 0.36877 -0.14519 -0.024069 -0.11283 -0.0034321 -0.046019 -0.57803 0.086062 0.028809 0.11985 -1.158 0.0091381 0.12969 0.16234 -0.088337 0.24083 -0.13804 0.037233 0.26424 0.11693 0.52382].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17664 0.051649 0.18455 -0.015213 -0.18599 0.016827 -0.15633 0.024277 0.20696 -0.16154 0.50792 0.017108 -0.070557 -0.56499 0.058435 -0.0057078 -0.97826 -0.023652 0.29303 0.069623 -0.037747 -0.21127 0.48271 0.17173 0.0069415 0.24418 -0.10096 -0.0064948 -0.20726 -0.0069617 -0.18563 0.2306 -0.041322 0.13605 -0.030659 0.10129 -0.27403 0.019078 0.039023 -1.2401 -0.21203 0.0056021 0.057509 0.0096283 -0.18608 0.17998 0.13731 0.0018088 -0.11139 -0.0058614 -0.065688].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16816 -0.28556 -0.12965 -0.15037 0.068583 -0.063048 0.11794 -0.014841 -0.80629 0.032976 -0.077779 -0.2326 0.030603 -0.26324 -0.26727 -0.22138 -0.57301 0.036064 0.007935 0.17182 -0.56157 0.35886 -1.2241 0.072175 0.067738 0.15776 0.1496 -0.0055322 0.087379 -0.098376 0.029665 -0.49943 -0.050582 -0.0017161 0.032327 0.13339 -2.3933 -0.059773 -0.26082 0.33436 0.82297 -0.10287 -0.10027 -0.067575 0.46235 0.04242 0.0072493 -0.049998 0.10364 0.064567 -0.11271].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1602 0.48274 -0.3671 0.24033 0.079007 0.051488 -0.08827 0.019815 0.075627 0.10237 -0.20485 0.23801 0.052219 0.2325 0.16459 0.022265 -0.48841 -0.076766 -0.12921 -0.02524 -0.06075 -0.12488 0.23604 -0.34941 -0.024541 -0.053213 0.023826 0.0091584 0.11065 0.067447 0.78873 0.13086 -0.37965 -0.34174 -0.13826 -0.54463 0.17107 0.080366 0.023968 -0.217 0.07493 0.094989 0.10661 -0.20044 -0.59222 0.03122 0.01352 0.0531 -0.20696 -0.029584 0.10339].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32212 -0.14471 0.50031 -0.048675 -0.16216 -0.056611 0.049792 -0.0031227 -0.04506 0.10109 0.25196 -0.084033 -0.1247 -0.047921 0.076426 -0.014005 0.44377 0.02952 0.12487 -0.16481 0.063589 0.13313 -0.70814 0.049824 -0.059818 0.032622 -0.089545 0.0047292 0.056547 -0.011952 0.15413 -0.013622 -0.16861 0.34767 0.1484 0.058244 -0.0038343 -0.10729 0.10198 0.086639 -0.067823 -0.024542 -0.30682 0.1208 0.1172 -0.32134 -0.010066 -0.058519 0.17217 0.0054857 -0.087618].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.47373 0.077089 0.24137 -0.069515 0.15834 0.037104 -0.47651 -0.012061 0.029759 -0.25091 -0.149 0.032216 0.10498 0.027206 -0.54545 -0.12989 -0.27289 0.029588 -0.084425 0.062859 -0.75212 -0.011801 0.41862 -0.41118 0.15073 -0.067278 -0.023053 -0.042416 -0.036644 0.0064967 0.37669 0.094912 0.50862 -0.03351 0.00071772 0.15733 -0.0012576 0.10007 -0.19188 -0.042482 -0.19005 -0.016803 0.33212 0.11281 0.0080122 0.21011 -0.025458 -0.0054204 -0.4137 -0.20789 0.011714].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.017629 -0.089955 0.073417 -0.1145 0.059236 0.02976 0.54859 0.0028041 -0.1008 0.30934 0.051201 -0.071007 -0.094313 -0.020697 1.2208 -0.58951 0.28495 -0.10737 0.06254 0.10833 -0.44961 0.011093 -0.62229 0.26841 -0.01585 0.019442 0.11794 0.010815 -0.038643 0.017505 -0.19215 0.17865 -0.55881 -0.057518 -0.034158 -0.068993 0.013955 0.023653 0.062852 0.21876 0.23603 -0.024296 -0.040902 0.015766 -0.026941 0.11905 -0.13208 0.0016299 0.29596 0.22766 0.084467].
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 [0.10715 -0.087897 0.033866 -0.24325 -0.16369 -0.028531 0.035598 0.036953 0.097036 0.76037 0.073396 -1.8702 -0.41257 0.025685 -0.043624 0.28645 0.76848 0.03264 0.21581 0.10706 -0.042115 0.46904 0.23829 -0.037386 0.16755 0.29401 0.30734 -1.8824 0.069409 -0.023735 0.64739 0.028314 -0.40786 -0.43777 0.050439 0.20792 0.2201 -0.23261 0.20477 -0.071736 0.44996 0.025225 -0.060006 -0.0083841 -0.1024 -0.010865 0.17503 0.060346 0.37995 0.13229 -0.10845].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.068899 0.20596 -1.7369 -0.039255 -0.2921 -0.17137 -0.10135 0.012392 -0.24787 -0.0236 0.080474 0.88036 -0.54574 -0.063359 -0.0089972 -0.75128 -0.0027609 -0.51162 0.14139 0.10591 -0.26393 -0.067848 0.21522 -0.0027531 -0.30224 0.012678 -0.029034 -0.072746 -0.0037085 0.35618 -0.080075 0.029275 0.13508 0.051711 0.020269 -1.7754 -0.15514 0.90659 0.32882 0.20997 -0.39951 -0.021838 -0.24817 -1.7073 -0.06277 0.41196 -0.11102 -0.028003 0.64138 0.17336 1.2091].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.29332 0.050815 0.024235 0.054171 -0.033412 0.033431 0.0012278 -0.024413 0.66157 -0.037943 0.14782 -0.082088 0.20892 0.0055185 -0.48403 0.037767 -0.17971 -0.010402 0.050535 -0.41452 0.081239 -0.056834 0.03379 0.79543 -0.20518 -0.0055803 -1.3063 0.30065 -0.2691 0.032313 0.45392 -0.47832 -0.22492 0.4645 0.044318 0.28089 -0.13293 -0.35511 -0.067887 0.16504 -0.0031537 0.18859 -0.82235 -0.57423 0.15833 0.37269 0.0020777 -0.25355 -0.83978 -0.32733 0.032857].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0031109 -0.021332 -0.054466 -0.046961 -0.41795 0.22817 0.012436 -0.018988 0.088358 -0.028888 -0.15999 -0.33647 0.58611 -0.12781 -0.05672 -0.31153 -0.10121 -0.019525 -0.33828 0.28543 -0.38771 -0.31902 0.16728 0.12664 0.22084 -0.0025851 0.023051 -0.11643 0.019316 0.14676 0.56232 0.28892 -0.14096 -0.15004 0.18701 0.45134 0.013267 0.087129 -0.05698 0.18027 -0.81354 0.043365 0.26332 -0.35353 -0.26241 -1.8766 0.47817 -0.079101 0.092435 0.15159 -0.32157].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.087507 -0.2019 -0.2068 -0.19186 0.34562 -0.38868 -0.0075757 -0.23785 -0.10023 -0.047784 -0.29191 -0.036981 -0.039424 -0.10298 0.068148 0.33216 0.11322 -0.06446 -0.086838 0.020964 0.55452 0.21275 0.24178 -0.051201 -0.15557 -0.0048079 0.034269 -0.70665 0.028512 -0.10627 -0.058948 -0.13059 0.0060376 0.027415 -0.0079504 0.059046 -0.11502 -0.51539 -0.19333 0.12861 -0.054232 0.015429 0.00080186 0.31902 0.68389 0.046063 -0.42942 -0.22842 -0.4871 -0.40348 0.35457].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.087008 0.20369 -0.060245 0.19677 0.16758 0.47123 -0.31234 0.19364 0.11671 -0.030309 0.3892 0.22822 0.0767 0.17674 -0.2329 0.15257 -0.23928 0.057023 0.68848 -0.066236 0.063832 0.37315 0.25288 -0.045523 0.26972 6.8443e-05 0.093659 -0.23553 0.0042246 0.12915 -0.59206 0.22621 0.11875 -0.27332 -0.0036603 -0.036142 0.35325 0.05823 0.14632 0.092008 -0.24289 -0.011592 -0.025156 -0.01318 -0.3666 -0.10886 -0.49336 0.25263 0.4737 0.024489 -0.023509].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.011975 -0.25613 -0.047671 -0.075386 -0.1571 -0.45132 0.29449 0.03719 -0.48245 0.12265 0.007146 -0.0547 0.0062314 0.19919 0.13952 -0.034104 0.097425 -0.10455 -0.14407 -0.10805 0.0051579 -0.023619 0.10894 -0.75099 -0.35237 0.0059974 -0.025202 -0.083119 -0.0024041 0.066536 -0.56694 -0.0023199 0.0277 0.22468 -0.13792 0.036178 0.11208 0.023538 0.032226 -0.00067271 0.33674 -0.059819 0.0092551 -0.329 0.30265 -0.21664 0.032667 -0.59499 -0.076706 -0.013753 0.0795].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01506 0.20258 0.33494 0.070969 -0.13452 0.0062568 -0.041178 0.0040901 0.46897 0.021587 0.12422 0.1925 -0.089969 -0.1041 0.0070505 -0.08213 0.10077 0.1 0.26427 -0.024994 -0.23166 0.24781 0.013913 0.10189 0.18956 -0.052799 -0.027853 0.2816 -0.079275 -0.10841 0.26309 -0.19681 -0.049622 -0.15772 0.13993 -0.020567 -0.89874 -0.031808 0.064149 -0.10508 -0.033177 0.059131 0.0054885 0.31317 -0.17217 0.33629 0.63324 -0.33299 0.087052 0.3739 -0.30742].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0022981 0.0090885 -0.025567 -0.30248 0.31052 -0.14683 0.076136 0.0016603 0.043482 -0.19404 0.15657 -0.078616 0.10628 -0.38814 0.098334 0.12819 0.094763 0.013288 -0.89074 0.11564 0.074813 -0.43268 -0.4026 0.055549 0.050261 -0.049956 0.054447 -0.49724 0.071914 -0.4864 -0.0029998 -0.11187 0.0049971 0.10794 -0.019855 0.0068235 -0.18989 -0.21221 -0.021253 0.078084 0.034788 0.0054311 0.0010525 0.040847 0.19285 -0.070357 0.049027 -0.53004 -0.14002 -0.7967 0.093876].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.026757 0.035257 0.0060048 0.35117 -0.39472 0.54262 -0.0016931 -0.062879 -0.19375 0.12614 -0.4857 -0.033317 -0.036777 0.17002 -0.28151 -0.017692 -0.31323 -0.012681 -0.061023 0.01052 -0.72868 0.12181 0.11562 -0.22248 0.015299 0.092368 -0.0048829 0.49955 0.0032234 0.21525 -0.14381 0.27564 0.042742 0.056565 -0.24249 -0.022194 0.234 0.17293 -0.28522 0.014559 -0.10553 -0.23489 -0.039402 -0.059563 -0.024869 0.036706 -0.0011177 0.0051118 0.05325 -0.40633 0.2248].
# Parameters are learned. Sampling algorithm is now running...
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# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R58_d18O_stack.
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