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R53.log
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R53.log
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node25.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 [122.1898 72.97127 191.308 19.17376 100.7485 17.92284 11.36147 140.6277 290.3293 58.26064 31.5476 335.3228 170.1161 230.0154 303.9035].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.08947 -0.021965 0.14838 0.054469 -0.003646 -0.058949 0.10489 0.25484 0.56262 0.13182 0.065786 0.15977 0.10046 0.070389 0.30862].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.37183 -0.017897 -0.0038205 -0.11184 0.069314 -0.014369 -0.0018572 -0.22164 -0.21275 -0.034735 -0.28235 -0.031266 -0.024636 -0.021239 0.15432].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01107 -0.041351 -0.01253 -0.079838 -0.0018805 0.0094398 -0.068784 0.22774 -0.16568 0.008717 -0.0156 0.017213 0.19469 -0.0078308 0.072229].
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 [99.63017 42.1769 218.9406 21.57052 68.68856 24.34491 58.95661 114.4184 209.1489 41.86708 20.70724 235.5112 134.055 130.3819 227.1353].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1188 -0.24295 -0.84911 0.094018 0.054897 0.12076 0.0034986 0.37854 0.84029 -0.065821 0.046918 -0.05342 0.023067 0.039074 -0.048878].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27894 0.014051 0.26575 0.0045076 0.058239 0.067307 0.0026343 0.049431 0.08941 0.018172 -0.021265 -0.0054313 0.041903 0.0022367 -0.28939].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.022408 -0.0016707 -0.21327 0.0078486 -0.26329 -0.00308 0.041158 -0.036821 -8.5283e-05 -0.15048 -0.00035353 -0.15651 -0.030683 0.01533 0.017815].
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 [-0.040057 -0.19436 -0.20055 0.0057037 -0.12644 -0.091463 -0.00056378 0.066652 -0.075884 0.10481 -0.0090063 0.47554 0.15788 0.092352 0.096792].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14929 0.11893 0.40571 0.036318 0.0036988 0.053448 -0.14072 -0.011977 -0.14733 0.0017606 0.014407 0.0093729 -0.11594 -0.011027 -0.054075].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.002235 0.013598 0.22008 0.013416 0.2026 -0.05792 -0.01631 -0.0038324 0.02488 0.0052928 0.011493 -0.06139 -0.27449 0.13719 0.016697].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13039 0.11958 0.24831 0.0023969 -0.023068 -0.079271 -0.023158 0.0067972 0.031688 -0.21595 -0.0056483 0.13905 0.095671 -0.11971 0.0073638].
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 [-0.0097033 0.0021915 0.056751 -0.0266 -0.11435 0.011282 0.080851 -0.13378 0.038981 0.0039511 0.0020497 0.20425 0.11074 0.084053 0.11457].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.065125 0.08847 -0.028779 0.00048052 -0.014975 -0.10309 -0.06151 -0.08952 0.011626 0.066208 -0.016351 -0.0031027 0.076701 -0.062917 0.031312].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11064 0.087029 0.38248 0.0062876 0.12892 -0.13784 0.0068694 0.012984 -0.050807 -0.13736 -0.0092207 0.089595 -0.016748 -0.62197 -0.053442].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.026326 0.010013 0.042136 0.0022307 0.38609 0.05592 -0.025654 0.00024485 0.060675 0.065128 0.008301 0.090377 0.19987 -0.027465 -0.019202].
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 [-0.063611 0.18258 0.21834 0.025547 0.012007 0.017012 -0.088026 -0.0044955 -0.052016 -0.11267 -0.058777 -0.086238 -0.069849 0.38795 -0.020621].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15193 0.065576 0.029287 -0.043778 -0.07565 0.066074 0.024597 -0.07076 0.024883 0.020942 0.15177 0.0022173 0.045007 0.027296 0.003314].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28483 0.0070052 0.023001 -0.0033403 -0.23755 0.0025483 0.060879 0.29126 0.098057 -0.12127 0.0043028 0.22761 -0.098405 0.18238 -0.021157].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.086328 -0.093165 -0.025928 -0.058288 0.05046 -0.057697 -0.034134 -0.21314 0.030178 -0.051661 -0.12134 -0.034395 -0.06499 -0.072792 -0.024795].
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 [0.090483 0.081049 -0.035942 0.003046 0.04473 0.22643 0.030027 0.052477 0.022714 0.059389 0.020633 -0.23286 0.13151 -0.17715 -0.25497].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0074848 -0.032196 0.10796 -0.01305 -0.0014352 -0.031554 -0.15815 -0.1119 0.047903 0.0057833 0.00020666 0.51971 0.011542 -0.051384 0.093513].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.019376 0.028093 -0.00026303 0.0071667 -0.019936 0.071674 0.02037 0.167 -0.0079004 0.22276 0.017295 -0.015028 0.039007 0.030195 -0.076143].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03217 0.0080422 -0.046399 -0.00053903 -0.28874 0.044575 0.089997 -0.10329 0.052078 -0.0096178 -0.071068 0.0096546 -0.015508 -0.0084541 0.0058249].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R53_d18O_stack.
-------------------------------------------------------------------------------------------
>>