Commit cdaf7b7a authored by Stefan Mauerberger's avatar Stefan Mauerberger
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Merge branch 'master' into FieldTools

parents 9f37cf9e afba915c
# CORBASS
### CORrelation Based Archeomagnetic SnapShot model
# License
GNU General Public License, Version 3, 29 June 2007
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ, German Research Centre for Geosciences, Potsdam, Germany
CORBASS is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
CORBASS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
# Citation
> Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
> CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
> GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
[![DOI](https://img.shields.io/badge/DOI-10.5880%2FGFZ.2.3.2019.008-blue.svg)](http://doi.org/10.5880/GFZ.2.3.2019.008)
# Documentation
The `CORBASS` model is described in TODO: #12. In a way this
repository can be seen as supplementary material to this publication. Below this
......@@ -35,18 +60,11 @@ probability mass is concentrated, is found and can be accessed by the
`integration` module. The output can then be used to calculate further results,
using the `evaluation` module.
If you want to use the individual models, you can find Jupyter notebooks for
each model in the [*examples* section].
If you want to use the individual modules, you can find Jupyter notebooks for
each module in the [*examples* section].
[*examples* section]: (examples)
Cite as
> Schanner, M. and Mauerberger, S. (2019)
> CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
> GFZ Data Services. http://doi.org/XXX
TODO: #10
# Installation
0. Clone the repository
```console
......@@ -61,9 +79,9 @@ TODO: #10
2. Build and install [FieldTools]
1. Install `conda-build` and `numpy` (to base)
1. Install `conda-build` (to base)
```console
$ <conda>/bin/conda install conda-build numpy
$ <conda>/bin/conda install conda-build
```
2. Navigate to `<corbass>` and build [FieldTools]
......@@ -100,25 +118,6 @@ TODO: #10
[FieldTools]: https://gitup.uni-potsdam.de/matusche/fieldtools
# License
GNU General Public License, Version 3, 29 June 2007
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
CORBASS is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
CORBASS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
# Contact
* [Maximilian Schanner](mailto:arthus@gfz-potsdam.de)
Helmholtz Centre Potsdam German Research Centre for Geoscienes GFZ
......
"""
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ,
German Research Centre for Geosciences, Potsdam, Germany
Cite as:
Schanner, M. and Mauerberger, S. (2019)
Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
GFZ Data Services. http://doi.org/XXX TODO XXX
GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
This file is part of CORBASS.
......
......@@ -5,13 +5,13 @@
proxys of these) for quantities of interest, such as the power spectrum,
the dipole intensity, the dipole location etc.
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ,
German Research Centre for Geosciences, Potsdam, Germany
Cite as:
Schanner, M. and Mauerberger, S. (2019)
Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
GFZ Data Services. http://doi.org/XXX TODO XXX
GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
This file is part of CORBASS.
......
......@@ -2,13 +2,13 @@
This module is part of the CORBASS algorithm. It provides a routine for the
first step, the exploration of the parameter space.
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ,
German Research Centre for Geosciences, Potsdam, Germany
Cite as:
Schanner, M. and Mauerberger, S. (2019)
Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
GFZ Data Services. http://doi.org/XXX TODO XXX
GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
This file is part of CORBASS.
......
......@@ -5,13 +5,13 @@
assisting routine for finding a region of high probability mass, given
output from the previous exploration step.
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ,
German Research Centre for Geosciences, Potsdam, Germany
Cite as:
Schanner, M. and Mauerberger, S. (2019)
Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
GFZ Data Services. http://doi.org/XXX TODO XXX
GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
This file is part of CORBASS.
......@@ -352,9 +352,9 @@ def integrate(name, data, N, bounds, r_ref=3200.,
mu_f_cmb += res['zf_mean'][1] * weight
var_z_cmb += res['zf_var'][0] * weight
var_z_cmb += res['zf_var'][0]**2 * weight
var_z_cmb += res['zf_mean'][0]**2 * weight
var_f_cmb += res['zf_var'][1] * weight
var_f_cmb += res['zf_var'][1]**2 * weight
var_f_cmb += res['zf_mean'][1]**2 * weight
pbar.update(pbar.value + 1)
# close progressbarr
......
......@@ -2,13 +2,13 @@
This module is part of the CORBASS algorithm. It can be seen as the core
module, where the actual inversion code is defined.
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ,
German Research Centre for Geosciences, Potsdam, Germany
Cite as:
Schanner, M. and Mauerberger, S. (2019)
Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
GFZ Data Services. http://doi.org/XXX TODO XXX
GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
This file is part of CORBASS.
......@@ -1019,11 +1019,6 @@ class Inversion:
epsilons = np.dot(jac, jac.T)
"""
lap_appr = np.linalg.inv(np.linalg.multi_dot((jac.T,
np.linalg.inv(errs),
jac)))
"""
trans_grad[3*it:3*it+3, 3*it:3*it+3] = jac
epsilon[3*it:3*it+3, 3*it:3*it+3] = errs
rho[3*it:3*it+3, 3*it:3*it+3] = epsilons
......@@ -1159,7 +1154,7 @@ if __name__ == '__main__':
ax[0, 0].set_title('Z @ CMB')
ax[1, 0].tripcolor(lat, lon, var_z,
cmap=plt.cm.plasma)
cmap=plt.cm.binary)
ax[1, 0].coastlines(zorder=4)
ax[0, 1].tripcolor(lat, lon, f)
......@@ -1167,7 +1162,7 @@ if __name__ == '__main__':
ax[0, 1].set_title('F @ CMB')
ax[1, 1].tripcolor(lat, lon, var_f,
cmap=plt.cm.plasma)
cmap=plt.cm.binary)
ax[1, 1].coastlines(zorder=4)
plt.show()
......@@ -3,13 +3,13 @@
that are used throughut the algorithm, e.g. a routine to load a parameter
file or scaling routines for coefficicients and covariances.
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ,
German Research Centre for Geosciences, Potsdam, Germany
Cite as:
Schanner, M. and Mauerberger, S. (2019)
Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
GFZ Data Services. http://doi.org/XXX TODO XXX
GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
This file is part of CORBASS.
......
This diff is collapsed.
......@@ -123,16 +123,6 @@
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Residual term [nT]')"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
......
This diff is collapsed.
......@@ -18,7 +18,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"/home/arthus/Documents/CORBASS\n"
"<corbass>/CORBASS\n"
]
}
],
......@@ -39,53 +39,31 @@
"metadata": {},
"outputs": [
{
"name": "stderr",
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
"N/A% (0 of 15625) | | Elapsed Time: 0:00:00 ETA: --:--:--"
"Exploring 1450, this may take a while...\n",
"100% (15625 of 15625) |##################| Elapsed Time: 0:22:41 Time: 0:22:41\n",
"Integrating 1450, this may take a while...\n",
"100% (3375 of 3375) |####################| Elapsed Time: 1:02:05 Time: 1:02:05\n",
"<corbass>/CORBASS/corbass/evaluation.py:215: RuntimeWarning: covariance is not positive-semidefinite.\n",
" for it in par_samps]\n",
"Exploring 1550, this may take a while...\n",
"100% (15625 of 15625) |##################| Elapsed Time: 0:29:14 Time: 0:29:14\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Exploring 1450, this may take a while...\n"
"Integrating 1550, this may take a while...\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" 0% (98 of 15625) | | Elapsed Time: 0:00:13 ETA: 0:39:48"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mOutOfDateError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m~/Documents/CORBASS/run.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mnewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpar_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexpl_fname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 60\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mOutOfDateError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 61\u001b[0m \u001b[0;31m# if there is no output or it is out of date, run explore and write the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mOutOfDateError\u001b[0m: ",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m~/Documents/CORBASS/run.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 64\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"\\nExploring {bin_name}, this may take a while...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 65\u001b[0m rslt = explore(pars.bin_fname(bin_name), data, pars.n_ex, pars.bounds,\n\u001b[0;32m---> 66\u001b[0;31m r_ref=pars.r_ref)\n\u001b[0m\u001b[1;32m 67\u001b[0m \u001b[0mrslt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Documents/CORBASS/corbass/exploration.py\u001b[0m in \u001b[0;36mexplore\u001b[0;34m(name, data, N, bounds, r_ref)\u001b[0m\n\u001b[1;32m 128\u001b[0m \u001b[0;31m# iterate\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meps\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrho\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mposterior\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mit\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m \u001b[0mposterior\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m...\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog_pst\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr_ref\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meps\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrho\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 132\u001b[0m \u001b[0mpbar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpbar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Documents/CORBASS/corbass/inversion.py\u001b[0m in \u001b[0;36mlog_pst\u001b[0;34m(self, r_Ref, lamb, epsilon, rho, log_pri)\u001b[0m\n\u001b[1;32m 899\u001b[0m \u001b[0mThe\u001b[0m \u001b[0mlog\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mposterior\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mkernel\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mparameters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 900\u001b[0m \"\"\"\n\u001b[0;32m--> 901\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_prep_calc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr_Ref\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlamb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepsilon\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrho\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 902\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_log_pst\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlamb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepsilon\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrho\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlog_pri\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlog_pri\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 903\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/Documents/CORBASS/corbass/inversion.py\u001b[0m in \u001b[0;36m_prep_calc\u001b[0;34m(self, r_Ref, lamb, epsilon, rho)\u001b[0m\n\u001b[1;32m 227\u001b[0m \u001b[0;31m# Invert covariance using Cholesky\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 228\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mL\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcholesky\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcov_NEZ_full\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 229\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mL_inv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 230\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 231\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprc_NEZ_full\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mL_inv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mL_inv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36minv\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/CORBASS/lib/python3.7/site-packages/numpy/linalg/linalg.py\u001b[0m in \u001b[0;36minv\u001b[0;34m(a)\u001b[0m\n\u001b[1;32m 549\u001b[0m \u001b[0msignature\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'D->D'\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misComplexType\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m'd->d'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 550\u001b[0m \u001b[0mextobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_linalg_error_extobj\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_raise_linalgerror_singular\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 551\u001b[0;31m \u001b[0mainv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_umath_linalg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msignature\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msignature\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mextobj\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mextobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 552\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mwrap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mainv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_t\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 553\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/arthus/Documents/CORBASS/out\n"
"100% (3375 of 3375) |####################| Elapsed Time: 1:08:58 Time: 1:08:58\n"
]
}
],
......@@ -106,13 +84,10 @@
"metadata": {},
"outputs": [
{
"name": "stderr",
"name": "stdout",
"output_type": "stream",
"text": [
"\r",
" \r",
"\r",
" 0% (98 of 15625) | | Elapsed Time: 0:00:13 ETA: 0:45:52"
"<corbass>/CORBASS/out\n"
]
}
],
......@@ -124,7 +99,18 @@
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[0m\u001b[00mexample_1450_cmbfields.txt\u001b[0m \u001b[00mexample_1450_inte.npz\u001b[0m \u001b[00mexample_1550_fields.txt\u001b[0m\r\n",
"\u001b[00mexample_1450_coeffs.txt\u001b[0m \u001b[00mexample_1550_cmbfields.txt\u001b[0m \u001b[00mexample_1550_inte.npz\u001b[0m\r\n",
"\u001b[00mexample_1450_expl.npz\u001b[0m \u001b[00mexample_1550_coeffs.txt\u001b[0m\r\n",
"\u001b[00mexample_1450_fields.txt\u001b[0m \u001b[00mexample_1550_expl.npz\u001b[0m\r\n"
]
}
],
"source": [
"ls"
]
......
......@@ -2,13 +2,13 @@
This script runs the CORBASS algorithm for a parameter file that is
passed via the command line.
Copyright (C) 2019 Maximilian Schanner, GFZ Potsdam
Copyright (C) 2019 Stefan Mauerberger, University of Potsdam
Copyright (C) 2019 Helmholtz Centre Potsdam GFZ,
German Research Centre for Geosciences, Potsdam, Germany
Cite as:
Schanner, M. and Mauerberger, S. (2019)
Schanner, Maximilian Arthus and Mauerberger, Stefan (2019)
CORBASS: CORrelation Based Archeomagnetic SnapShot model. V. 1.0.
GFZ Data Services. http://doi.org/XXX TODO XXX
GFZ Data Services. http://doi.org/10.5880/GFZ.2.3.2019.008
This file is part of CORBASS.
......
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