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R48.log
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R48.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:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [409.1289 170.7196 81.64421 71.014 80.16836 18.21259 60.23856 119.2358 26.44953 134.043 68.74907 30.53005 10.49834 155.2222 194.6867 132.884 59.83326 78.29818 32.68786 34.77205 188.3368 409.285].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.9226 0.022885 0.19223 0.13 0.42055 0.56139 -0.10956 1.3741 -0.25844 -0.036834 0.18475 1.2856 0.085409 1.6648 0.67655 0.56746 0.27243 4.7355 0.26141 0.40581 4.9371 0.51372].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0011922 -0.10009 -0.051953 0.00042474 -0.15064 0.092635 0.12383 0.00685 0.14621 0.095828 0.052371 -0.39392 -0.058596 0.092378 -0.00092821 -0.24479 0.088306 0.23331 0.1335 0.014564 0.4851 0.28659].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2781 0.030958 -0.10081 -0.44225 0.073712 -0.010331 -0.023692 -0.10913 -0.058837 0.002648 0.022816 0.12709 -0.040025 -0.076687 -0.10865 0.03995 0.026211 -1.4902 -0.024735 -0.12939 0.015214 0.03831].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.30091 -0.0056824 0.016968 0.5945 0.045167 -0.014794 -0.024176 0.25464 0.054183 -0.0056466 -0.020308 0.0093602 -0.077865 0.075058 0.14797 0.12227 -0.0073719 -0.2817 0.014274 0.19346 -0.026429 0.024434].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16729 0.00024602 0.099985 -0.064683 -0.034269 0.020958 0.017328 -0.095537 0.0065122 0.0086348 0.065559 -0.30105 0.051671 -0.13818 0.011969 0.0016029 0.0046 -0.014317 0.00094598 -0.037477 -0.064558 -0.018316].
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 [196.176 78.99302 61.64691 87.47064 32.52238 9.120411 64.93703 42.5707 19.05392 37.81713 20.22816 27.81072 17.72745 38.58365 78.1188 96.75084 23.9107 14.01622 51.48415 39.40472 81.75201 213.7787].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.2738 1.1115 0.28744 1.1547 0.16915 0.8225 0.57225 0.075625 1.624 -0.13954 -0.030635 4.0866 0.093156 -0.053296 0.35009 0.66883 1.5322 -0.79515 2.4647 2.5834 0.79659 0.089797].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023273 0.01609 -0.022283 -0.01444 -0.2569 0.5319 -0.14935 -0.024452 -0.17761 -0.012281 0.01569 0.046211 -0.18249 4.7742 3.3864 0.25998 0.37426 0.70017 -0.1011 0.37417 0.048237 0.01384].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.034144 0.036371 -0.11066 -0.01965 0.22261 0.044138 -0.038321 0.065092 -0.068617 0.0059537 -0.044688 0.28322 0.00086008 0.18673 0.044575 0.0033756 -0.163 -0.029223 0.020086 -0.14774 -0.26074 -0.68211].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12969 -0.055912 0.068167 0.016906 0.03839 0.094869 0.036968 -0.13506 0.14159 -0.0066653 0.040049 0.1374 0.029917 -0.023611 0.01956 -0.017232 0.22209 0.11868 -0.048555 0.0044406 0.064414 -0.073252].
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 [1.4529 0.42826 0.01067 0.52349 0.15223 0.099269 0.089097 0.97837 -0.078052 0.2854 0.85467 0.087837 0.022539 0.52421 1.8259 1.3579 0.11887 2.4117 0.17675 0.1348 -0.017395 2.0244].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.0606 0.14718 -0.019647 -0.028619 0.039325 0.141 0.136 -0.096128 0.031561 0.089508 0.18339 -0.044947 -0.21627 -0.076608 -0.051696 0.057889 0.057517 0.0064364 -0.0051704 -0.003919 0.22945 0.15083].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14867 -0.069823 -0.032364 -0.077875 -0.018922 -0.057085 -0.16737 0.019445 0.041175 -0.55576 -0.028774 0.003208 -0.18995 -0.051239 0.066399 0.038672 -0.1462 -0.18898 -0.033567 -0.035848 -0.026748 -0.084978].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.73603 -0.064632 -0.20524 -0.0046595 -0.14169 -0.50675 0.058738 0.00017571 -0.0059286 0.0062104 0.053003 0.053956 -0.010973 0.042784 0.15778 -0.2388 -0.045666 -0.060777 0.0022038 -0.046289 -0.11393 -0.011802].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.038116 0.094089 0.035188 0.006283 0.0075681 0.090076 0.066617 -0.010503 0.0027318 -0.032728 0.0089108 -0.033363 -0.026256 -0.19671 -0.016239 -0.11381 -0.01465 0.26448 -0.015906 -0.17113 -0.21098 -0.0016692].
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 [0.7351 -0.15791 -0.18289 -0.088601 -0.65351 0.47118 0.16956 0.29715 -0.059276 0.13842 0.0059716 -0.002162 0.13994 0.078162 -0.057785 -0.10296 0.29937 -0.36653 0.083069 -0.11925 -0.16316 -0.026033].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.48717 0.0097155 -0.015894 0.093223 -0.2505 0.01154 0.03124 0.0091852 -0.073668 -0.47262 -0.014042 -0.18135 0.14105 -0.11076 0.45598 0.27861 -0.14121 0.61263 0.029067 0.014087 0.023093 0.56915].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18278 0.054942 0.18082 -0.17215 -0.49709 -0.0065975 0.040607 -0.64122 0.072344 0.039596 -0.0075905 0.11856 0.039405 0.00022817 -0.052746 -0.08965 0.16584 -0.57665 -0.0043025 0.16952 0.095748 0.21612].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16915 0.36286 -0.028501 -0.011123 0.34134 -0.02082 0.20337 0.079282 -0.13216 -0.14288 0.0075323 0.014757 -0.024941 -0.016351 -0.08653 -0.0045109 0.36179 0.14419 0.1453 -0.15928 -0.024248 0.037246].
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 [0.45488 0.073981 0.10619 0.37604 -0.0058445 -0.018786 0.10569 1.0734 0.02384 -0.1031 0.0071628 0.02927 0.035707 0.081089 0.0061437 -0.73924 -0.076259 -0.062398 0.17506 0.0067524 0.91307 0.045245].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.040887 -0.025 -0.028003 0.060123 -0.2545 -0.16556 0.016465 0.18209 -0.39863 -0.0078995 0.0080055 -0.10866 0.40357 0.0093003 -0.088423 -0.41625 0.020257 -0.044305 -0.11498 0.0085318 0.1551 -0.45483].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0078827 -0.2533 -0.093813 0.092624 0.4035 0.20499 -0.36823 -0.053441 -0.11762 0.14416 0.13931 -0.00057864 0.0096127 0.038966 4.3644 -0.049249 0.049127 -0.057572 -0.08123 0.0024591 -0.21582 0.28335].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.041051 0.018455 0.067329 -0.40246 -0.038728 0.083904 -0.40879 -0.27434 0.071062 -0.044262 0.085542 0.31312 0.0002458 -0.25297 1.9828 0.11331 -0.019874 0.27694 0.027118 -0.082855 -0.093057 -0.26659].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030059 -0.070963 -0.0117 0.40255 0.42237 -0.13844 -0.16135 -0.054567 -0.1683 0.06007 0.066791 0.040855 -0.058136 0.12048 0.041522 -0.071344 0.0051484 -0.056915 -0.087978 0.052762 0.11507 0.15093].
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 [0.44421 0.12811 -0.24232 -0.16928 -0.086446 0.087412 -0.062775 -0.024665 0.37355 -0.041747 0.083406 -0.032278 0.016651 -0.026052 -0.35713 0.084678 0.032808 -0.11559 0.3945 -0.030301 0.38585 0.92852].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.001322 0.13072 -0.18453 -0.056939 -0.15034 -0.43835 0.11452 0.013109 0.25122 -0.073124 -0.021279 -0.001999 -0.013136 0.040277 0.033382 0.37512 0.028305 -0.023349 -0.10846 0.07968 -0.08367 -0.036561].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0029296 -0.021768 0.25201 -0.030622 0.05379 -0.10805 -0.0031897 -0.10318 0.025169 0.22215 0.010505 -0.017673 0.0034891 -0.019199 -0.12136 -0.4002 -0.015513 -0.19943 0.14453 -0.28454 -0.12821 -0.19124].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.095917 0.66494 0.26389 0.023273 0.064439 0.018128 0.04541 0.092624 -0.01859 0.052564 -0.026391 -0.0046768 -0.089323 -0.0073537 0.014717 0.1342 -0.40173 0.11868 0.082021 -0.0032083 -0.030158 0.034975].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016673 0.53192 -0.025369 -0.2999 0.15943 0.11636 -0.036718 -0.040222 0.0039709 -0.081477 0.020471 -0.023924 -0.31868 0.017999 -0.13034 0.071443 0.23319 0.18068 0.077828 0.2037 0.060388 -0.20756].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042849 -0.30801 0.095225 -0.042138 -0.084624 -0.026283 0.014439 0.025666 -0.00046317 0.095896 0.0083768 0.053881 0.44041 0.00010919 -0.19658 -0.063507 0.086011 0.090262 0.041617 -0.26317 0.026129 -0.18889].
# 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/R48_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 26230 s