This notebook is available at https://github.com/tardis-sn/tardis/tree/master/docs/io/configuration/components/models/converters/stella_to_tardis.ipynb
STELLA Files to TARDIS¶
[5]:
from tardis.io.parsers import stella
from astropy import units as u
[2]:
data = stella.read_stella_data('mesa.stella.dat')
[3]:
data
[3]:
| mass_of_cell | cell_center_m | cell_center_R | cell_center_v | avg_density | radiation_pressure | avg_temperature | radiation_temperature | avg_opacity | tau | ... | cr48 | cr60 | fe52 | fe54 | fe56 | co56 | ni56 | luminosity | n_bar | n_e | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 6.006769e+29 | 5.190243e+33 | 2.517209e+13 | 3.930633e+06 | 1.005529e-11 | 11237.954506 | 45943.453023 | 45943.453023 | 0.162712 | 5403.504881 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 7.648868e+38 | 6.055413e+12 | 2.412188e+12 |
| 2 | 1.262406e+30 | 5.191506e+33 | 2.970626e+13 | 5.050403e+06 | 2.928088e-11 | 11236.544022 | 45942.182229 | 45942.182229 | 0.164412 | 5381.678444 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 9.609214e+38 | 1.762304e+13 | 6.969790e+12 |
| 3 | 1.264624e+30 | 5.192771e+33 | 3.198879e+13 | 5.680288e+06 | 4.619659e-11 | 11133.526767 | 45836.518142 | 45836.518142 | 0.165012 | 5364.280084 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 1.050921e+39 | 2.783916e+13 | 1.091728e+13 |
| 4 | 1.263067e+30 | 5.194034e+33 | 3.357130e+13 | 6.135230e+06 | 5.896887e-11 | 11133.526767 | 45836.518142 | 45836.518142 | 0.165310 | 5348.854704 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 1.100921e+39 | 3.545183e+13 | 1.392188e+13 |
| 5 | 1.259387e+30 | 5.195293e+33 | 3.480638e+13 | 6.495173e+06 | 6.912717e-11 | 11032.838720 | 45732.362031 | 45732.362031 | 0.165510 | 5334.724893 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 1.140921e+39 | 4.166219e+13 | 1.632649e+13 |
| 6 | 1.258091e+30 | 5.196550e+33 | 3.583450e+13 | 6.805058e+06 | 7.774308e-11 | 11031.453980 | 45731.097076 | 45731.097076 | 0.165709 | 5321.480960 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 1.180921e+39 | 4.687026e+13 | 1.832995e+13 |
| 7 | 1.256430e+30 | 5.197807e+33 | 3.672346e+13 | 7.075000e+06 | 8.524104e-11 | 11031.453980 | 45731.097076 | 45731.097076 | 0.165809 | 5308.917604 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 1.210921e+39 | 5.127832e+13 | 2.013225e+13 |
| 8 | 1.253971e+30 | 5.199061e+33 | 3.751183e+13 | 7.310000e+06 | 9.155072e-11 | 11031.453980 | 45731.097076 | 45731.097076 | 0.165820 | 5296.950388 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 1.240806e+39 | 5.518408e+13 | 2.153570e+13 |
| 9 | 1.253773e+30 | 5.200314e+33 | 3.822537e+13 | 7.520000e+06 | 9.719899e-11 | 10930.317002 | 45625.918471 | 45625.918471 | 0.165936 | 5285.442617 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079500e-03 | 1.260806e+39 | 5.848984e+13 | 2.283801e+13 |
| 10 | 1.252728e+30 | 5.201567e+33 | 3.888202e+13 | 7.715000e+06 | 1.017798e-10 | 10930.317002 | 45625.918471 | 45625.918471 | 0.166444 | 5274.319278 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079380e-03 | 1.290806e+39 | 6.129444e+13 | 2.403916e+13 |
| 11 | 1.251315e+30 | 5.202818e+33 | 3.949364e+13 | 7.899942e+06 | 1.056026e-10 | 10930.317002 | 45625.918471 | 45625.918471 | 0.167443 | 5263.504963 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.310806e+39 | 6.359790e+13 | 2.504031e+13 |
| 12 | 1.248465e+30 | 5.204067e+33 | 4.006494e+13 | 8.069885e+06 | 1.095625e-10 | 10930.317002 | 45625.918471 | 45625.918471 | 0.168344 | 5252.968552 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.330806e+39 | 6.600135e+13 | 2.594261e+13 |
| 13 | 1.243739e+30 | 5.205311e+33 | 4.060165e+13 | 8.224885e+06 | 1.128950e-10 | 10830.107253 | 45520.981771 | 45520.981771 | 0.169143 | 5242.720455 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.350806e+39 | 6.810366e+13 | 2.674377e+13 |
| 14 | 1.243959e+30 | 5.206554e+33 | 4.111083e+13 | 8.374827e+06 | 1.160579e-10 | 10830.107253 | 45520.981771 | 45520.981771 | 0.169941 | 5232.678533 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.380691e+39 | 6.990711e+13 | 2.744492e+13 |
| 15 | 1.245057e+30 | 5.207799e+33 | 4.159658e+13 | 8.514827e+06 | 1.190315e-10 | 10830.107253 | 45520.981771 | 45520.981771 | 0.170541 | 5222.818389 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.400691e+39 | 7.160942e+13 | 2.814492e+13 |
| 16 | 1.231934e+30 | 5.209033e+33 | 4.205671e+13 | 8.644827e+06 | 1.215239e-10 | 10830.107253 | 45520.981771 | 45520.981771 | 0.171141 | 5213.249350 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.420806e+39 | 7.311172e+13 | 2.864722e+13 |
| 17 | 1.216115e+30 | 5.210248e+33 | 4.249330e+13 | 8.769770e+06 | 1.237832e-10 | 10730.816233 | 45416.286418 | 45416.286418 | 0.172941 | 5203.903812 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.440806e+39 | 7.451402e+13 | 2.924722e+13 |
| 18 | 1.218289e+30 | 5.211465e+33 | 4.291475e+13 | 8.889770e+06 | 1.257945e-10 | 10730.816233 | 45416.286418 | 45416.286418 | 0.173441 | 5194.709058 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.470691e+39 | 7.571633e+13 | 2.974837e+13 |
| 19 | 1.220635e+30 | 5.212687e+33 | 4.332273e+13 | 9.009712e+06 | 1.275483e-10 | 10730.816233 | 45416.286418 | 45416.286418 | 0.173841 | 5185.663371 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.490691e+39 | 7.691748e+13 | 3.014953e+13 |
| 20 | 1.218599e+30 | 5.213906e+33 | 4.371717e+13 | 9.119712e+06 | 1.293227e-10 | 10730.816233 | 45416.286418 | 45416.286418 | 0.174240 | 5176.775982 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.510691e+39 | 7.791978e+13 | 3.054953e+13 |
| 21 | 1.218527e+30 | 5.215123e+33 | 4.409991e+13 | 9.224712e+06 | 1.311178e-10 | 10730.816233 | 45416.286418 | 45416.286418 | 0.174541 | 5168.017132 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.530691e+39 | 7.891978e+13 | 3.094953e+13 |
| 22 | 1.216195e+30 | 5.216341e+33 | 4.447132e+13 | 9.329654e+06 | 1.323350e-10 | 10632.435519 | 45311.831858 | 45311.831858 | 0.174840 | 5159.424248 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.560576e+39 | 7.982093e+13 | 3.125068e+13 |
| 23 | 1.213956e+30 | 5.217554e+33 | 4.483239e+13 | 9.429654e+06 | 1.338634e-10 | 10632.435519 | 45311.831858 | 45311.831858 | 0.175140 | 5150.959409 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.580691e+39 | 8.062209e+13 | 3.155183e+13 |
| 24 | 1.214388e+30 | 5.218768e+33 | 4.518466e+13 | 9.524654e+06 | 1.351020e-10 | 10632.435519 | 45311.831858 | 45311.831858 | 0.175440 | 5142.610227 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.600691e+39 | 8.132324e+13 | 3.185183e+13 |
| 25 | 1.212675e+30 | 5.219981e+33 | 4.552823e+13 | 9.619654e+06 | 1.360385e-10 | 10632.435519 | 45311.831858 | 45311.831858 | 0.175640 | 5134.401425 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079205e-03 | 1.630576e+39 | 8.202439e+13 | 3.215183e+13 |
| 26 | 1.210647e+30 | 5.221192e+33 | 4.586395e+13 | 9.714654e+06 | 1.369815e-10 | 10632.435519 | 45311.831858 | 45311.831858 | 0.175839 | 5126.315470 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.079156e-03 | 1.650576e+39 | 8.252554e+13 | 3.235183e+13 |
| 27 | 1.209411e+30 | 5.222402e+33 | 4.619471e+13 | 9.799654e+06 | 1.369815e-10 | 10631.113103 | 45310.581383 | 45310.581383 | 0.175839 | 5118.349189 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.078789e-03 | 1.670691e+39 | 8.242554e+13 | 3.255183e+13 |
| 28 | 1.204720e+30 | 5.223605e+33 | 4.651757e+13 | 9.884654e+06 | 1.379268e-10 | 10534.956764 | 45207.617536 | 45207.617536 | 0.175940 | 5110.514635 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.078789e-03 | 1.690691e+39 | 8.292669e+13 | 3.275183e+13 |
| 29 | 1.203253e+30 | 5.224809e+33 | 4.683392e+13 | 9.969654e+06 | 1.385676e-10 | 10534.956764 | 45207.617536 | 45207.617536 | 0.176139 | 5102.793922 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.078789e-03 | 1.720576e+39 | 8.342669e+13 | 3.285298e+13 |
| 30 | 1.204574e+30 | 5.226014e+33 | 4.714483e+13 | 1.005460e+07 | 1.392072e-10 | 10534.956764 | 45207.617536 | 45207.617536 | 0.176240 | 5095.166450 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000021 | 0.0 | 4.078789e-03 | 1.740576e+39 | 8.382669e+13 | 3.305298e+13 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 370 | 1.503278e+31 | 2.573607e+34 | 1.104475e+15 | 2.429600e+08 | 9.175628e-14 | 0.300826 | 3954.619710 | 3304.761442 | 0.000273 | 0.007314 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.769424e+41 | 5.528062e+10 | 1.237947e+07 |
| 371 | 1.503744e+31 | 2.575109e+34 | 1.115499e+15 | 2.454950e+08 | 8.803103e-14 | 0.295301 | 3936.449883 | 3289.487890 | 0.000275 | 0.007047 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.769424e+41 | 5.307717e+10 | 1.117371e+07 |
| 372 | 1.504194e+31 | 2.576615e+34 | 1.126760e+15 | 2.480850e+08 | 8.464919e-14 | 0.287253 | 3918.469727 | 3266.843215 | 0.000278 | 0.006782 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.769424e+41 | 5.097371e+10 | 1.016680e+07 |
| 373 | 1.504628e+31 | 2.578119e+34 | 1.138255e+15 | 2.507250e+08 | 8.121491e-14 | 0.279425 | 3900.465994 | 3244.354424 | 0.000281 | 0.006520 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.769424e+41 | 4.887141e+10 | 9.161043e+06 |
| 374 | 1.505049e+31 | 2.579624e+34 | 1.149979e+15 | 2.534200e+08 | 7.809493e-14 | 0.269286 | 3864.706307 | 3214.522692 | 0.000282 | 0.006262 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759539e+41 | 4.696911e+10 | 7.638489e+06 |
| 375 | 1.505456e+31 | 2.581128e+34 | 1.161939e+15 | 2.561650e+08 | 7.492656e-14 | 0.264341 | 3846.949594 | 3199.666590 | 0.000284 | 0.006008 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759539e+41 | 4.516565e+10 | 6.863536e+06 |
| 376 | 1.505850e+31 | 2.582634e+34 | 1.174137e+15 | 2.589650e+08 | 7.204815e-14 | 0.257137 | 3829.170696 | 3177.640241 | 0.000287 | 0.005755 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759539e+41 | 4.336335e+10 | 6.169275e+06 |
| 377 | 1.506231e+31 | 2.584142e+34 | 1.186582e+15 | 2.618250e+08 | 6.912510e-14 | 0.250129 | 3811.577254 | 3155.765519 | 0.000290 | 0.005506 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759539e+41 | 4.165989e+10 | 5.535128e+06 |
| 378 | 1.506601e+31 | 2.585648e+34 | 1.199285e+15 | 2.647400e+08 | 6.631867e-14 | 0.243340 | 3794.064648 | 3134.126315 | 0.000293 | 0.005259 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759539e+41 | 3.995759e+10 | 4.971328e+06 |
| 379 | 1.506960e+31 | 2.587156e+34 | 1.212262e+15 | 2.677200e+08 | 6.362427e-14 | 0.236709 | 3768.048602 | 3112.551141 | 0.000296 | 0.005015 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759539e+41 | 3.825528e+10 | 4.457872e+06 |
| 380 | 1.507308e+31 | 2.588661e+34 | 1.225533e+15 | 2.707700e+08 | 6.090078e-14 | 0.230258 | 3750.735991 | 3091.124490 | 0.000299 | 0.004773 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759539e+41 | 3.665298e+10 | 3.994763e+06 |
| 381 | 1.507645e+31 | 2.590169e+34 | 1.239120e+15 | 2.738900e+08 | 5.816152e-14 | 0.223982 | 3733.502925 | 3069.845338 | 0.000302 | 0.004534 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759424e+41 | 3.505068e+10 | 3.581883e+06 |
| 382 | 1.507973e+31 | 2.591677e+34 | 1.253046e+15 | 2.770850e+08 | 5.554217e-14 | 0.219869 | 3707.801671 | 3055.657872 | 0.000306 | 0.004298 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.759424e+41 | 3.344837e+10 | 3.209349e+06 |
| 383 | 1.508291e+31 | 2.593187e+34 | 1.267340e+15 | 2.803650e+08 | 5.292036e-14 | 0.211916 | 3682.277344 | 3027.643432 | 0.000309 | 0.004064 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.749539e+41 | 3.184607e+10 | 2.765894e+06 |
| 384 | 1.508601e+31 | 2.594695e+34 | 1.282036e+15 | 2.837450e+08 | 5.030635e-14 | 0.206141 | 3656.928725 | 3006.801281 | 0.000312 | 0.003833 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.749539e+41 | 3.024492e+10 | 2.463821e+06 |
| 385 | 1.508902e+31 | 2.596204e+34 | 1.297177e+15 | 2.872300e+08 | 4.771147e-14 | 0.200523 | 3640.028019 | 2986.102607 | 0.000316 | 0.003605 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.749539e+41 | 2.874146e+10 | 2.201978e+06 |
| 386 | 1.509194e+31 | 2.597712e+34 | 1.312826e+15 | 2.908350e+08 | 4.504388e-14 | 0.195058 | 3615.068208 | 2965.546421 | 0.000321 | 0.003379 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.749539e+41 | 2.713916e+10 | 1.960251e+06 |
| 387 | 1.509479e+31 | 2.599222e+34 | 1.329057e+15 | 2.945800e+08 | 4.242636e-14 | 0.189742 | 3590.182254 | 2945.131743 | 0.000326 | 0.003154 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.749539e+41 | 2.553686e+10 | 1.738753e+06 |
| 388 | 1.509756e+31 | 2.600732e+34 | 1.345972e+15 | 2.984900e+08 | 3.968586e-14 | 0.184571 | 3565.467613 | 2924.857599 | 0.000332 | 0.002932 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.749539e+41 | 2.393455e+10 | 1.537486e+06 |
| 389 | 1.510025e+31 | 2.602242e+34 | 1.363690e+15 | 3.025900e+08 | 3.695182e-14 | 0.177895 | 3540.923106 | 2898.042343 | 0.000338 | 0.002710 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.739654e+41 | 2.223225e+10 | 1.366104e+06 |
| 390 | 1.510288e+31 | 2.603751e+34 | 1.382340e+15 | 3.069150e+08 | 3.416928e-14 | 0.173047 | 3508.555024 | 2878.092360 | 0.000345 | 0.002490 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.739654e+41 | 2.062995e+10 | 1.205068e+06 |
| 391 | 1.510544e+31 | 2.605263e+34 | 1.402096e+15 | 3.115150e+08 | 3.137876e-14 | 0.166788 | 3468.392927 | 2851.705850 | 0.000352 | 0.002272 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.739654e+41 | 1.892764e+10 | 1.033916e+06 |
| 392 | 1.510793e+31 | 2.606773e+34 | 1.423208e+15 | 3.164600e+08 | 2.855110e-14 | 0.160755 | 3436.594510 | 2825.561254 | 0.000361 | 0.002054 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.739539e+41 | 1.722419e+10 | 9.080521e+05 |
| 393 | 1.511037e+31 | 2.608285e+34 | 1.446057e+15 | 3.218649e+08 | 2.556441e-14 | 0.154940 | 3405.087622 | 2799.656353 | 0.000372 | 0.001837 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.739539e+41 | 1.542188e+10 | 7.863841e+05 |
| 394 | 1.511274e+31 | 2.609797e+34 | 1.471245e+15 | 3.279099e+08 | 2.242001e-14 | 0.149336 | 3366.109906 | 2773.988949 | 0.000386 | 0.001619 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.729654e+41 | 1.351958e+10 | 6.707967e+05 |
| 395 | 1.511505e+31 | 2.611308e+34 | 1.499835e+15 | 3.349250e+08 | 1.908195e-14 | 0.143918 | 3319.925147 | 2748.482551 | 0.000405 | 0.001398 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.729654e+41 | 1.151612e+10 | 5.573015e+05 |
| 396 | 1.511731e+31 | 2.612818e+34 | 1.533756e+15 | 3.435050e+08 | 1.540408e-14 | 0.136196 | 3259.329684 | 2710.845252 | 0.000430 | 0.001173 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.729654e+41 | 9.283015e+09 | 4.408753e+05 |
| 397 | 1.511951e+31 | 2.614332e+34 | 1.576303e+15 | 3.545750e+08 | 1.168519e-14 | 0.128874 | 3192.480784 | 2673.651060 | 0.000467 | 0.000941 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.719770e+41 | 7.040251e+09 | 3.305759e+05 |
| 398 | 1.512167e+31 | 2.615844e+34 | 1.632356e+15 | 3.682800e+08 | 8.348776e-15 | 0.119719 | 3126.918024 | 2624.851429 | 0.000525 | 0.000695 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.719654e+41 | 5.027256e+09 | 2.333801e+05 |
| 399 | 1.512377e+31 | 2.617356e+34 | 1.698066e+15 | 4.244850e+08 | 6.601396e-15 | 0.110183 | 3055.657872 | 2570.946173 | 0.000569 | 0.000448 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.000017 | 0.0 | 1.108306e-14 | 3.709770e+41 | 3.975759e+09 | 1.842764e+05 |
399 rows × 36 columns
[6]:
# extract outer radius boundaries
radius = data.loc[:,'outer_edge_r'].values * u.cm
# calculate t_expl_s
t_expl = 50 * u.day #days
# calculate outer velocities of each zone assuming homologous expansion (d =v*t)
vel = (radius/t_expl).to(u.km/u.s)
# create a new column of our velocities (OPTIONAL)
data['velocity'] = vel
[7]:
density_dat = data[['velocity', 'avg_density']].reset_index(drop=True)
density_dat.to_csv('density_parse.csv', sep = ' ')
[8]:
# import all elements and isotopes and export to TARDIS
data_elements = data.iloc[12:33].reset_index(drop=True)
abund = data_elements.to_csv('abund_parse.csv', sep = ' ')