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R30.log
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MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
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: 36).
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:
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
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: 36).
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 [91.59097 84.50303 69.08971 253.8638 35.24978 250.7804 124.2054 137.3308 3.984418 9.84517 49.14847 35.67459 11.00633 195.4035 221.1524 46.74405 4.597019 105.076 29.4531 106.3497 103.9885 22.58471 12.66994 6.988888 9.575288 59.13706].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.1989 -0.32324 1.8314 7.2569 0.41097 8.3903 2.5692 3.658 -0.93401 1.1237 1.6549 0.18989 0.3512 1.6314 1.0441 0.33435 -0.027736 -0.43445 0.087893 1.7329 3.3591 0.27755 0.25839 0.79331 0.61264 1.5947].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.090551 0.074566 0.59053 0.86951 -0.011763 0.39177 0.26778 0.0061774 0.28174 -0.028273 -0.026801 -0.02125 -0.087916 -0.035005 -0.048709 -0.078556 0.54814 -0.065435 0.15062 0.018417 -0.047214 -0.022519 0.1205 0.26757 0.0056718 0.54315].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1678 0.07899 0.0070356 -0.067662 -0.0068854 -0.020552 -0.21931 0.0092913 0.00066684 0.10404 -0.36895 -0.21957 0.0042207 0.203 0.19277 0.18673 -0.094358 0.036714 -0.025875 -0.016545 0.096739 -0.10751 -0.092765 0.26477 -0.090695 -0.024955].
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 [149.7769 135.595 143.6268 136.4035 31.85117 193.2318 146.8061 122.1238 29.90659 11.95578 42.97772 11.3236 16.27082 146.897 253.3402 35.87514 13.47127 37.21534 2.873851 74.34177 68.63207 26.60594 26.86955 7.664312 10.94804 142.1828].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [5.0179 3.9269 5.1128 4.9252 0.28985 7.6838 3.7627 1.5206 1.6979 1.1861 1.7772 -0.023256 0.96616 2.5989 2.0371 0.98136 1.0474 0.060786 0.12586 1.1307 1.8871 0.83493 -0.19497 0.011441 0.91993 2.6106].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.027424 2.3015 1.0225 0.10581 -0.08552 0.54519 0.57885 0.16186 -0.0020287 -0.035209 1.5098 0.18397 -0.19547 0.13473 0.042598 -0.13039 0.12935 -0.14019 0.016905 0.71913 0.30549 0.0020854 -0.1015 -0.021152 0.08223 -0.40334].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3591 0.044662 -0.35369 -0.0048222 0.0034837 0.81125 -0.64356 -0.093152 -0.2059 0.093369 0.01884 0.091104 0.073472 0.066214 0.041715 -0.48004 -0.041246 -0.003768 -0.032004 -0.013309 0.006269 -0.35946 0.16093 0.088463 0.15367 -7.1637e-05].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21007 -0.028211 0.35386 -0.09866 -0.34412 0.20639 -0.067245 -0.31893 0.68162 0.014187 -0.16024 0.013561 0.0037504 0.0036976 -0.24302 0.33658 -0.015515 0.019663 0.073453 -0.11015 -0.15724 0.41426 -0.032675 -0.026462 -0.05321 0.0047156].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.40816 -0.05639 -0.22752 -0.32014 0.016941 -0.054396 -0.0023173 0.045844 0.030918 0.0054151 0.12435 -0.13342 -0.11754 -0.0081631 0.20846 0.12659 0.13528 -0.014133 0.090352 0.086867 -0.038108 -0.24253 0.023561 0.074164 -0.16442 -0.053301].
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 [0.26485 0.67995 0.027583 0.24338 0.35309 1.8632 0.26214 1.1521 0.12379 0.16626 0.36852 0.41145 0.059482 0.16748 1.6422 0.42526 0.014188 0.10858 -0.18659 0.58777 -0.32761 0.0075428 0.11244 0.063829 -0.062221 0.35042].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11182 0.086128 0.85034 0.39415 -0.056922 0.019002 0.70653 -0.40044 0.038862 0.06383 0.054253 0.30709 0.02824 -0.045723 0.21153 0.052283 -0.12389 0.042101 0.098887 0.36716 0.69467 -0.046586 -0.027396 0.0090402 -0.033448 0.29979].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11461 0.048869 -0.0072886 -0.20869 -0.12814 0.10004 -0.027416 0.78121 0.037292 -0.084067 -0.017893 -0.057418 -0.21565 -0.011194 -0.26567 0.0027911 -0.10062 -0.48244 -0.468 0.023986 0.0045833 -0.023318 0.0016225 -0.045521 -0.34153 -0.047691].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.085897 -0.22113 0.57899 -0.49283 -0.45638 -0.046855 0.044181 -0.0051844 0.003269 0.52186 -0.15599 0.58138 0.23677 -0.0072133 0.17703 0.45039 -0.34566 0.022904 0.16402 -0.24592 -0.089776 -0.0019697 -0.0056629 0.05282 0.0047853 -0.18725].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.014455 0.10792 -0.071706 -0.3281 0.40684 0.017785 -0.070124 0.048007 0.013418 0.027212 0.17609 0.00029173 -0.01861 -0.031866 0.46606 -0.4503 -0.48028 -0.23894 -0.019971 0.1513 0.19346 0.045059 0.014175 0.10861 -0.0048261 0.1655].
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 [0.080923 -0.36689 0.92843 0.30497 -0.13359 0.18417 -0.57305 -0.19458 0.14628 -0.028378 -0.021568 -0.064912 0.22832 -0.15266 0.7361 -0.029749 0.17182 0.26192 -0.12232 -0.16562 0.051704 0.27928 -0.023957 -0.022621 -0.014363 -0.37262].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.94685 0.47258 0.1687 -0.099031 0.21974 0.24625 0.026879 0.073815 -0.18746 0.014027 0.037735 -0.31171 0.42671 -0.27745 0.075844 0.37704 0.073862 -0.14033 -0.027734 -0.52174 -0.014241 0.03065 -0.0086812 0.0059213 0.00030673 0.13777].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.04981 0.17038 0.19876 -0.078184 0.057388 -0.16695 0.21377 -0.2172 0.17379 0.020933 0.093123 -0.0063336 0.041467 -0.36685 0.072613 0.031168 0.050525 0.16299 0.023035 -0.62284 0.080535 0.46406 0.069902 0.082419 0.14924 -0.17998].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.058134 -0.0075022 -0.089189 0.031498 -0.12892 -0.10592 0.057796 0.061935 -0.083754 -0.15414 0.51519 0.04627 -0.27505 0.10976 0.48818 -1.0594 -0.10838 0.033708 0.17337 0.71828 0.37922 0.033636 0.95962 -0.013569 -0.15135 0.075766].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.08605 0.035857 -0.50818 -0.37863 0.14233 -0.12043 -0.070249 -0.015667 -0.028828 0.12788 -0.050053 0.051814 0.74733 -0.14115 0.046523 -0.52377 -0.00045203 0.043538 -0.45563 0.33 0.65058 0.3551 0.25817 0.014554 0.028863 -0.0046971].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015446 0.16088 0.0097178 0.37708 -0.0527 0.13316 -0.5314 0.020202 -0.16888 0.022719 0.038245 -0.10914 0.19906 0.077127 -0.51879 -0.40311 0.20614 -0.058897 0.15903 -0.83218 -0.096576 -0.63077 -0.0096166 -0.0010018 0.067545 -0.037637].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042111 -0.087225 -0.0023389 -1.1234 -0.066691 -0.035012 -0.48208 -0.28142 -0.015129 -0.10298 -0.19128 -0.20539 0.01455 -0.076205 0.3167 0.032629 -0.040285 0.039893 0.19482 0.29401 0.072732 -0.022143 0.047413 0.00023458 -0.020154 -0.021694].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012918 0.13263 -0.21895 0.29717 0.068377 -0.52109 0.92143 0.22872 0.17399 -0.083526 -0.38547 0.097716 -0.015058 0.093939 0.0027947 -0.12694 -0.13897 0.067831 -0.21172 0.35531 -0.05275 0.0074718 -0.1252 -0.020514 0.045886 0.0050366].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0065659 -0.1547 0.033955 0.48516 0.0076451 -0.063431 -0.058755 0.039852 -0.5341 0.10207 0.12412 0.19055 -0.12046 0.040672 -0.38177 0.14209 0.20185 0.00012979 0.14664 0.13929 -0.077946 -0.0096353 0.104 0.011043 0.02658 -0.1324].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.067716 0.13772 -0.25839 0.034936 -0.13527 -0.45227 0.45227 -0.022115 0.39348 0.082992 0.21993 -0.089401 0.16645 -0.088214 0.34773 0.2384 -0.13767 -0.088834 -0.042088 -0.86585 0.11937 0.010058 0.21253 0.0055307 -0.0029044 0.055868].
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 [0.22638 -0.045371 0.33454 0.12756 0.0059155 -0.098227 0.42518 0.028827 0.21991 -0.17802 -0.047344 -0.039158 0.074483 0.0042424 0.47963 -0.096644 -0.17558 -0.21932 0.0074255 -0.021189 -0.0031997 -0.044768 -0.063571 0.10546 0.0069965 0.082962].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12357 0.20947 0.086138 0.05089 0.53764 0.24454 -0.081985 0.061083 -0.059173 0.3381 -0.09321 0.0061176 -0.0016069 -0.052756 0.52098 0.021869 0.0042838 -0.031821 -0.00076487 0.048189 0.39252 0.077021 0.045571 0.032019 -0.0035232 -0.33446].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0053042 -0.13213 0.15346 0.014432 -0.41165 -0.47132 -0.19967 -0.0357 0.24394 0.0032968 0.15591 -0.051288 0.28728 -0.0054384 0.0089807 -0.088108 -0.004205 0.033409 0.0037717 -0.22821 -0.21562 -0.23141 -0.059505 0.0010249 0.18454 0.69296].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.35346 0.24504 -0.48359 0.13151 -0.10966 -0.17489 0.14213 -0.13545 -0.088009 0.0060859 0.00083945 -0.090718 0.31478 -0.44124 -0.043248 -0.042313 0.057611 -0.33075 -0.033779 0.16083 0.47764 -1.0183 -0.072972 0.18124 -0.054139 -0.076718].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.29559 0.0099851 0.20102 -0.16767 -0.09725 0.22862 -0.34534 0.067227 0.051244 -0.11575 0.055885 0.025818 -0.54996 0.45464 -0.80109 0.035924 -0.002115 0.32697 -0.10514 0.0081615 -0.11177 0.092991 0.0037519 -0.015425 -0.049824 0.38934].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.51866 -0.033363 0.53611 0.10612 0.19815 -0.11173 -0.091427 0.081517 0.0094397 0.42569 -0.10994 -0.21177 -0.26268 -0.11486 0.29243 -0.2003 -0.022159 -0.074618 0.19252 -0.14973 -0.78057 -0.38648 -0.046063 -0.074545 0.055054 -0.67048].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31541 -0.54927 -0.0031268 -0.0041653 -0.0079425 0.096343 0.18673 0.13874 -0.28784 -0.057987 0.11167 0.19241 0.18338 0.11821 -0.44183 0.13223 -0.019493 -0.14336 -0.0031912 0.018764 0.19151 0.37758 0.019455 0.087054 -0.068805 -0.49561].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.093457 0.32729 -0.0030648 -0.034658 -0.20384 0.020673 0.01879 -0.041728 0.11987 -0.30508 -0.026133 0.059311 0.27268 0.0032668 -0.69345 0.012462 -0.038103 0.229 0.007437 0.098116 0.29557 -0.17859 -0.026609 -0.042942 0.057864 -0.16577].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.064863 0.058897 -0.024563 0.12307 -0.090496 0.0016668 -0.18512 -0.0068023 0.18872 0.38394 -0.061668 -0.18978 -0.080318 -0.12604 0.20028 -0.024236 0.040591 -0.057852 -0.063298 0.039563 -0.20463 0.22651 0.046002 0.018093 -0.015296 0.093915].
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 [-0.28334 0.062012 0.32842 -0.17514 -0.080854 -0.17294 0.012736 -0.061216 -0.10931 -0.12196 -0.58136 0.11629 0.085998 -0.34217 0.15046 -0.5812 0.16718 0.22105 0.0011884 -0.18926 0.0010072 -0.037771 0.019148 0.1428 0.070251 0.099564].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.33948 0.27076 0.025401 0.28987 0.23588 -0.15131 0.27525 -0.025892 -0.098405 -0.010541 -0.32299 -0.019827 0.075845 -0.04921 0.18313 -0.0063376 0.029058 0.1397 0.035689 -0.0083715 -0.010121 -0.092554 -0.10311 0.17102 -0.066397 0.41277].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.073777 0.002075 0.035628 -0.0051786 0.53428 0.12348 0.11555 0.18464 -0.00054013 0.016828 -0.13867 0.38858 -0.022044 -0.3167 0.37575 0.092846 -0.012256 0.1614 -0.081367 -0.064679 0.033362 -0.0075271 0.00578 -0.059232 0.038557 -0.12116].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0037158 -0.56167 0.24432 -0.0036635 -0.085594 0.090749 -0.28652 0.026373 -0.057949 0.051751 -0.27891 0.022835 -0.29878 -2.1912 -0.36437 -0.021767 -0.046844 -0.10973 0.034856 -0.23286 -0.0092071 -0.1129 -0.19433 0.006065 0.00067975 0.55916].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.048688 0.012708 -0.43571 0.037316 0.21684 -0.11058 0.18917 0.00095462 0.00089833 -0.014365 0.094238 0.063424 0.80404 1.4707 0.12861 -0.0049655 -0.018112 -0.0011748 0.0032758 0.16367 -0.028097 -0.0030947 0.13931 0.024925 -0.0069338 0.87691].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23734 -0.21109 0.4311 -0.4528 -0.021259 0.008929 -0.22848 -0.082921 -0.039479 -0.21127 0.24504 -0.031913 0.15972 0.1359 0.038671 -0.3851 -0.063639 -0.0075666 -0.031629 0.10841 0.021946 0.13238 0.019362 -0.0027347 0.0039636 0.043876].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# 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/R30_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 27899 s