diff --git a/networks/aprox19/nse_aprox19.tbl b/networks/aprox19/nse_aprox19.tbl index 4432b9a5a1..29bd471bc5 100644 --- a/networks/aprox19/nse_aprox19.tbl +++ b/networks/aprox19/nse_aprox19.tbl @@ -1,23719 +1,46969 @@ -# NSE table generated by pynucastro 2.1.1 +# NSE table generated by pynucastro 2.0.3.post42+g637a616d # original NSENetwork had 96 nuclei # # log10(rho) log10(T) Ye Abar dYe/dt dAbar/dt e_nu X(H1) X(He3) X(He4) X(C12) X(N14) X(O16) X(Ne20) X(Mg24) X(Si28) X(S32) X(Ar36) X(Ca40) X(Ti44) X(Cr48) X(Fe52) X(Fe54) X(Ni56) X(n) X(p) - 7.0000000000 9.4000000000 0.5000000000 55.9878049964 8.6427278752 -1.1916831e-05 -2.8288938e-18 1.3843521e+13 0 1.000000012e-16 7.355775711e-09 1.001650807e-16 1e-16 1.05000565e-16 1.000017562e-16 1.016468348e-15 9.873413304e-09 8.443801765e-08 1.729985104e-07 2.221346264e-06 4.288689382e-09 1.326508059e-06 0.0009877817369 0.0001378403978 0.9988680097 1.000002511e-16 2.541313007e-06 - 7.0000000000 9.4000000000 0.4950000000 55.8590548237 8.6676464080 -8.5796922e-06 2.5255056e-18 1.0218763e+13 0 1e-16 7.180004349e-09 1.001534769e-16 1e-16 1.045364649e-16 1.000015545e-16 8.916140512e-16 8.316514997e-09 6.93741258e-08 1.387351298e-07 1.735690497e-06 5.506668668e-09 3.355581125e-05 0.000883678895 0.2937548059 0.7053259872 1.000854225e-16 7.381831842e-09 - 7.0000000000 9.4000000000 0.4900000000 55.7062303964 8.6930693478 -5.264231e-06 -4.1635016e-18 6.3935996e+12 0 1e-16 6.931360819e-09 1.001380334e-16 1e-16 1.039373557e-16 1.000013019e-16 7.398242977e-16 6.483208874e-09 5.217035185e-08 1.00697459e-07 1.214201658e-06 6.641084925e-09 6.295347206e-05 0.0006475310347 0.5726971423 0.4265909821 1.001556486e-16 3.980543434e-09 + 7.0000000000 9.4000000000 0.5000000000 55.9878049964 8.6427278752 -1.1916831e-05 -4.6729735e-18 1.3843521e+13 0 1.000000012e-16 7.355775711e-09 1.001650807e-16 1e-16 1.05000565e-16 1.000017562e-16 1.016468348e-15 9.873413304e-09 8.443801765e-08 1.729985104e-07 2.221346264e-06 4.288689382e-09 1.326508059e-06 0.0009877817369 0.0001378403978 0.9988680097 1.000002511e-16 2.541313007e-06 + 7.0000000000 9.4000000000 0.4950000000 55.8590548237 8.6676464080 -8.5796922e-06 2.8274823e-18 1.0218763e+13 0 1e-16 7.180004349e-09 1.001534769e-16 1e-16 1.045364649e-16 1.000015545e-16 8.916140512e-16 8.316514997e-09 6.93741258e-08 1.387351298e-07 1.735690497e-06 5.506668668e-09 3.355581125e-05 0.000883678895 0.2937548059 0.7053259872 1.000854225e-16 7.381831842e-09 + 7.0000000000 9.4000000000 0.4900000000 55.7062303963 8.6930693478 -5.264231e-06 -4.7615879e-18 6.3935996e+12 0 1e-16 6.931360819e-09 1.001380334e-16 1e-16 1.039373557e-16 1.000013019e-16 7.398242977e-16 6.483208874e-09 5.217035185e-08 1.00697459e-07 1.214201658e-06 6.641084925e-09 6.295347206e-05 0.0006475310347 0.5726971423 0.4265909821 1.001556486e-16 3.980543434e-09 7.0000000000 9.4000000000 0.4850000000 55.5096290002 8.7186920684 -2.0108219e-06 1.4751222e-19 2.5431212e+12 0 1e-16 6.453757549e-09 1.001113848e-16 1e-16 1.02957273e-16 1.0000091e-16 5.164189217e-16 3.924137513e-09 2.938107673e-08 5.282919119e-08 5.916970058e-07 8.390547902e-09 9.694004084e-05 0.0003533249911 0.8440198954 0.155529145 1.003109231e-16 1.922807915e-09 - 7.0000000000 9.4000000000 0.4800000000 55.1868923218 8.7404363624 -2.3359935e-08 1.7811924e-21 3.7317111e+10 0 1e-16 4.061080551e-09 1.000277441e-16 1e-16 1.00463357e-16 1.000000897e-16 1.263118439e-16 1.531644811e-10 7.226330903e-10 8.560311209e-10 5.731184432e-09 2.171519768e-08 0.0001820389381 0.001721166277 0.9978616507 0.0002351107317 1.070910064e-16 6.688063052e-11 - 7.0000000000 9.4000000000 0.4750000000 55.5281515030 8.7558032201 -1.5464178e-08 1.2154767e-21 2.2767594e+10 0 1e-16 3.45253735e-09 1.000170419e-16 1e-16 1.002418854e-16 1.000000398e-16 1.101613991e-16 4.913864982e-11 1.974913036e-10 2.103108706e-10 1.124745844e-09 2.104735827e-08 0.0001539722706 0.005249043723 0.9945729665 2.399138797e-05 1.170514666e-16 2.564485501e-11 - 7.0000000000 9.4000000000 0.4700000000 55.9137281690 8.7714111081 -1.0797642e-08 -2.0007809e-21 1.5458533e+10 0 1e-16 2.992672834e-09 1.000110953e-16 1e-16 1.001364577e-16 1.000000195e-16 1.044380466e-16 1.806773789e-11 6.312126351e-11 6.237161e-11 2.679735589e-10 1.496837893e-08 9.844143825e-05 0.009075251672 0.9908230767 3.211793032e-06 1.314920118e-16 1.29279009e-11 - 7.0000000000 9.4000000000 0.4650000000 56.2139324168 8.7872969181 -2.9326827e-09 -1.6404055e-21 4.1456117e+09 0 1e-16 2.019191753e-09 1.000034068e-16 1e-16 1.000282601e-16 1.000000027e-16 1.004871875e-16 1.162803724e-12 2.7912593e-12 2.506326718e-12 5.213299029e-12 3.334921414e-09 1.842832658e-05 0.01688457676 0.9830969767 1.288771527e-08 2.253848254e-16 2.667226418e-12 - 7.0000000000 9.4000000000 0.4600000000 56.8318519314 8.7897592970 2.8580465e-10 3.8581798e-23 6.5729764e+08 0 1e-16 5.868322301e-10 1.000000836e-16 1e-16 1.000002015e-16 1e-16 1.000019054e-16 4.072737051e-16 4.161873592e-16 5.397658954e-16 1.22334027e-16 8.8096963e-11 0.0002111333408 0.0426586818 0.9571301842 3.914064095e-16 6.586834874e-15 2.789254361e-14 - 7.0000000000 9.4000000000 0.4550000000 57.7776577829 8.7905003129 1.0496291e-09 3.0961283e-22 1.8199971e+09 0 1e-16 4.419958836e-10 1.000000357e-16 1e-16 1.000000648e-16 1e-16 1.000006093e-16 1.548897016e-16 1.487127603e-16 1.62067475e-16 1.013074249e-16 1.040046358e-10 0.0006995558698 0.03080429024 0.9684961533 7.328266886e-18 1.400641238e-14 1.135129645e-14 - 7.0000000000 9.4000000000 0.4500000000 58.3496602412 8.7908135896 3.3046656e-09 -1.6879701e-22 5.1539505e+09 0 1e-16 2.823091101e-10 1.000000093e-16 1e-16 1.000000108e-16 1e-16 1.000000913e-16 1.039265343e-16 1.025943384e-16 1.024778483e-16 1.000147573e-16 2.980084855e-10 0.002470199999 0.01082930654 0.9867004929 1.364514106e-20 4.017027827e-14 3.220707437e-15 - 7.0000000000 9.4000000000 0.4450000000 58.5797912215 8.7851209908 3.1744488e-08 4.9666242e-21 4.3527365e+10 0 1e-16 9.477694257e-11 1.000000004e-16 1e-16 1.000000001e-16 1e-16 1.000000008e-16 1.000084388e-16 1.000021877e-16 1.000007916e-16 1.000000003e-16 5.411419267e-09 0.01716393339 0.0006374627168 0.9821985984 3.12116584e-27 4.140052543e-13 2.750522452e-16 - 7.0000000000 9.4000000000 0.4400000000 60.8796261826 8.7778516086 8.9488967e-08 1.5329015e-20 1.1426146e+11 0 1e-16 4.492767376e-11 1e-16 1e-16 1e-16 1e-16 1e-16 1.000001245e-16 1.000000157e-16 1.000000027e-16 1e-16 2.368507972e-08 0.024775952 0.0001661658703 0.9750578584 8.939022785e-32 1.730211502e-12 1.288339662e-16 - 7.0000000000 9.4000000000 0.4350000000 61.4686469962 8.7630966342 1.3543639e-06 -2.9066357e-19 1.3274757e+12 0 1e-16 7.509082095e-12 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 5.305536481e-07 0.04039263502 0.007227549551 0.9523792848 1.174451347e-42 3.907128506e-11 1.005219879e-16 - 7.0000000000 9.4000000000 0.4300000000 57.4264341956 8.7365191031 3.988543e-06 2.2350545e-18 3.8755806e+12 0 1e-16 3.806756183e-12 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1.322434363e-06 0.2389746196 0.02820495969 0.7328190981 8.607375149e-47 1.18249698e-10 1.001228014e-16 - 7.0000000000 9.4200000000 0.5000000000 55.9762336606 8.6426903294 -1.279314e-05 7.5412739e-18 1.5210178e+13 0 1.000000193e-16 2.917748599e-08 1.019686694e-16 1e-16 1.495691916e-16 1.000239834e-16 6.739451148e-15 3.284531526e-08 2.426472829e-07 4.574881609e-07 4.967450723e-06 1.216818884e-08 2.851194379e-06 0.001457432168 0.0003002086095 0.9982281735 1.000047775e-16 5.592720774e-06 - 7.0000000000 9.4200000000 0.4950000000 55.8468847374 8.6674836797 -9.2294475e-06 7.8015346e-18 1.1303549e+13 0 1.000000001e-16 2.846929346e-08 1.018282032e-16 1e-16 1.449011156e-16 1.000211887e-16 5.823012322e-15 2.759532575e-08 1.987832914e-07 3.65791573e-07 3.867443797e-06 1.539501839e-08 5.698678707e-05 0.001318987773 0.2972121127 0.7014073809 1.009289679e-16 2.84111916e-08 - 7.0000000000 9.4200000000 0.4900000000 55.6847042442 8.6928813564 -5.6763752e-06 8.464204e-19 7.1150633e+12 0 1.000000001e-16 2.747487475e-08 1.016427437e-16 1e-16 1.38924381e-16 1.000177193e-16 4.717998843e-15 2.146841683e-08 1.491455292e-07 2.648794987e-07 2.697764796e-06 1.822950207e-08 0.0001051227594 0.0009757382275 0.576335723 0.4225802218 1.017009548e-16 1.524336588e-08 - 7.0000000000 9.4200000000 0.4850000000 55.4796528558 8.7185284143 -2.1849082e-06 -6.3842334e-19 2.8702368e+12 0 1e-16 2.556978868e-08 1.01323767e-16 1e-16 1.291819463e-16 1.000123581e-16 3.098157877e-15 1.295388318e-08 8.370041826e-08 1.384821651e-07 1.308866601e-06 2.257738139e-08 0.0001599865306 0.0005454619939 0.8461572905 0.1531356615 1.034125243e-16 7.329892566e-09 - 7.0000000000 9.4200000000 0.4800000000 55.1812761071 8.7403031986 -3.6222876e-08 -5.076841e-21 5.9822662e+10 0 1e-16 1.661599942e-08 1.003631418e-16 1e-16 1.052004009e-16 1.000014314e-16 3.305304772e-16 6.3360752e-10 2.665517727e-09 3.011507672e-09 1.749267785e-08 5.312193756e-08 0.00028507887 0.002326194524 0.9970252797 0.0003633530389 1.627854431e-16 3.211575985e-10 - 7.0000000000 9.4200000000 0.4750000000 55.5193261041 8.7556129834 -2.2506798e-08 6.9270112e-21 3.43703e+10 0 1e-16 1.41076347e-08 1.002221905e-16 1e-16 1.027006692e-16 1.000006314e-16 1.887488619e-16 2.015516382e-10 7.218776368e-10 7.362900292e-10 3.389138419e-09 5.153940843e-08 0.0002421656828 0.006920234618 0.9928011078 3.642110023e-05 2.520240749e-16 1.222173661e-10 - 7.0000000000 9.4200000000 0.4700000000 55.9011506857 8.7712088441 -1.5256779e-08 4.3834562e-21 2.2620804e+10 0 1e-16 1.221537974e-08 1.001441946e-16 1e-16 1.015170658e-16 1.000003073e-16 1.387414182e-16 7.361216667e-11 2.291511212e-10 2.180321848e-10 7.990257429e-10 3.667902115e-08 0.0001557001927 0.0118033523 0.9880360921 4.805088553e-06 3.820389049e-16 6.130093003e-11 - 7.0000000000 9.4200000000 0.4650000000 56.1921157017 8.7871167984 -4.0628007e-09 5.0271751e-22 5.9517144e+09 0 1e-16 8.241329416e-09 1.000442674e-16 1e-16 1.00314113e-16 1.000000432e-16 1.043601817e-16 4.753064566e-12 1.021300604e-11 8.996780386e-12 1.553901592e-11 8.34620921e-09 3.07651206e-05 0.02156677928 0.9784024197 1.927295896e-08 1.223538488e-15 1.263979662e-11 - 7.0000000000 9.4200000000 0.4600000000 56.7618504881 8.7894354068 5.7480629e-10 -1.2522351e-22 1.3202869e+09 0 1e-16 2.610269904e-09 1.000014061e-16 1e-16 1.000031591e-16 1.000000002e-16 1.000260969e-16 2.387865781e-15 2.369996209e-15 3.000514875e-15 2.574726128e-16 3.124241669e-10 0.0003326626855 0.04973931288 0.9499280215 1.952260495e-15 4.399325605e-14 1.821853367e-13 - 7.0000000000 9.4200000000 0.4550000000 57.6623522436 8.7900973678 2.0815617e-09 -9.7387511e-22 3.6542015e+09 0 1e-16 1.967357799e-09 1.000006018e-16 1e-16 1.000010187e-16 1e-16 1.000083438e-16 5.108955377e-16 4.511627284e-16 5.10214768e-16 1.092890246e-16 3.638308178e-10 0.001071228726 0.03622107317 0.9627076958 3.691786449e-17 9.404129808e-14 7.396170104e-14 - 7.0000000000 9.4200000000 0.4500000000 58.2075084291 8.7903637152 6.307235e-09 4.996111e-21 1.0015198e+10 0 1e-16 1.27558909e-09 1.00000164e-16 1e-16 1.000001799e-16 1e-16 1.000013297e-16 1.320797029e-16 1.205944144e-16 1.182140327e-16 1.001220412e-16 9.798552318e-10 0.003561800406 0.01345909197 0.9829791054 8.486335178e-20 2.615134206e-13 2.14730178e-14 - 7.0000000000 9.4200000000 0.4450000000 58.3817114483 8.7847181250 5.3375814e-08 1.3382452e-20 7.4522825e+10 0 1e-16 4.498366062e-10 1.000000072e-16 1e-16 1.000000028e-16 1e-16 1.000000137e-16 1.000896111e-16 1.000236538e-16 1.000083251e-16 1.000000038e-16 1.52325417e-08 0.02201983611 0.0009468586999 0.9770332895 3.867284033e-26 2.423964966e-12 1.468867606e-15 - 7.0000000000 9.4200000000 0.4400000000 60.5945389402 8.7772281518 1.5456923e-07 4.9353788e-20 2.0070881e+11 0 1e-16 2.126327193e-10 1.000000008e-16 1e-16 1.000000001e-16 1e-16 1.000000004e-16 1.000012964e-16 1.000001663e-16 1.000000282e-16 1e-16 7.066454561e-08 0.03201489783 0.0002956812138 0.9676893501 1.064879025e-30 1.019296065e-11 3.238028296e-16 - 7.0000000000 9.4200000000 0.4350000000 61.2984756201 8.7626333051 1.5987182e-06 1.8784783e-19 1.6310764e+12 0 1e-16 4.385936365e-11 1e-16 1e-16 1e-16 1e-16 1e-16 1.000000001e-16 1e-16 1e-16 1e-16 1.131222991e-06 0.04583797831 0.008202819611 0.9459580707 2.66165792e-40 1.59766203e-10 1.064848056e-16 - 7.0000000000 9.4200000000 0.4300000000 57.3842598513 8.7362780844 4.5006301e-06 7.7421667e-19 4.493921e+12 0 1e-16 2.242323221e-11 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 2.755893726e-06 0.238631493 0.03101528348 0.7303504672 2.19696307e-44 4.766291313e-10 1.01554257e-16 - 7.0000000000 9.4400000000 0.5000000000 55.9535061640 8.6426227858 -1.3739637e-05 -5.1570078e-19 1.6729993e+13 0 1.000002761e-16 1.090827317e-07 1.210471257e-16 1.000000001e-16 5.440727647e-16 1.002918093e-16 4.420613391e-14 1.03672761e-07 6.656863979e-07 1.159121039e-06 1.071950265e-05 3.303187172e-08 5.985849299e-06 0.002119718025 0.0006323576498 0.9972172117 1.000796925e-16 1.193664896e-05 - 7.0000000000 9.4400000000 0.4950000000 55.8342120497 8.6672910729 -9.9356249e-06 3.5624766e-18 1.252701e+13 0 1.000000024e-16 1.063888373e-07 1.195202188e-16 1.000000001e-16 5.015687942e-16 1.002572638e-16 3.802960561e-14 8.684904667e-08 5.435636283e-07 9.236926871e-07 8.311526411e-06 4.126236483e-08 9.511023068e-05 0.001937766357 0.3012012562 0.6967557506 1.090863314e-16 1.033916048e-07 - 7.0000000000 9.4400000000 0.4900000000 55.6634530006 8.6926593110 -6.1276345e-06 2.0131995e-18 7.9388918e+12 0 1.000000012e-16 1.02635252e-07 1.17521135e-16 1.000000001e-16 4.476210286e-16 1.002147614e-16 3.064663801e-14 6.740287782e-08 4.067206229e-07 6.670164857e-07 5.778025258e-06 4.803783136e-08 0.0001723740776 0.001446596771 0.5805492642 0.4178246399 1.167341478e-16 5.514094525e-08 - 7.0000000000 9.4400000000 0.4850000000 55.4508426786 8.7183327889 -2.3800501e-06 -8.6475994e-19 3.2534919e+12 0 1.000000006e-16 9.546641114e-08 1.140961254e-16 1e-16 3.600547834e-16 1.001493851e-16 1.987539992e-14 4.052131246e-08 2.27309208e-07 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1.0293984712 0.1905816312 -152.27492 -6.9494542e-51 1.8110187e+21 0 0.0008233293067 0.02333800757 3.880028824e-10 1.977889024e-12 3.416970685e-13 2.839788532e-16 1.001728959e-16 1.000002604e-16 1.000000003e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 2.539527817e-45 0.5275500615 0.4482886012 + 10.0000000000 10.4000000000 0.4450000000 1.0292928698 0.1898359915 -148.53855 1.7478721e-50 1.7653219e+21 0 0.0008121802936 0.02324333017 3.831229978e-10 1.948964658e-12 3.359455431e-13 2.805035791e-16 1.001684519e-16 1.000002525e-16 1.000000003e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 2.375149108e-45 0.5326223418 0.4433221473 + 10.0000000000 10.4000000000 0.4400000000 1.0291780443 0.1890231037 -144.8539 2.786257e-50 1.7203093e+21 0 0.0008009264266 0.02313982551 3.778523275e-10 1.917783977e-12 3.297635743e-13 2.767405059e-16 1.001637281e-16 1.000002441e-16 1.000000003e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 2.208910206e-45 0.5377011093 0.4383581384 + 10.0000000000 10.4000000000 0.4350000000 1.0290540475 0.1881433726 -141.22076 -1.8850384e-50 1.6759778e+21 0 0.0007895730022 0.02302754925 3.722055538e-10 1.88445043e-12 3.231749272e-13 2.727079956e-16 1.001587518e-16 1.000002354e-16 1.000000003e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 2.042662283e-45 0.5427863355 0.4333965419 + 10.0000000000 10.4000000000 0.4300000000 1.0289209365 0.1871972377 -137.63893 -1.2285458e-51 1.6323244e+21 0 0.0007781252955 0.02290656197 3.661983348e-10 1.849073926e-12 3.162047248e-13 2.68425552e-16 1.001535516e-16 1.000002263e-16 1.000000003e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1e-16 1.878134832e-45 0.5478779896 0.4284373227 diff --git a/networks/aprox19/nse_table_size.H b/networks/aprox19/nse_table_size.H index e65ae05b29..afe1b76f97 100644 --- a/networks/aprox19/nse_table_size.H +++ b/networks/aprox19/nse_table_size.H @@ -7,13 +7,13 @@ namespace nse_table_size { const std::string table_name{"nse_aprox19.tbl"}; - constexpr int ntemp = 51; + constexpr int ntemp = 101; constexpr int nden = 31; constexpr int nye = 15; constexpr Real logT_min = 9.4; constexpr Real logT_max = 10.4; - constexpr Real dlogT = 0.02; + constexpr Real dlogT = 0.01; constexpr Real logrho_min = 7.0; constexpr Real logrho_max = 10.0; diff --git a/nse_tabular/make_nse_table.py b/nse_tabular/make_nse_table.py index 9fc9ce5ea2..991214e4c0 100644 --- a/nse_tabular/make_nse_table.py +++ b/nse_tabular/make_nse_table.py @@ -127,7 +127,7 @@ def generate_table(): nse_net = make_nse_network() - Ts = np.logspace(9.4, 10.4, 51) + Ts = np.logspace(9.4, 10.4, 101) rhos = np.logspace(7, 10, 31) yes = np.linspace(0.43, 0.5, 15)