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korte
CORBASS
Commits
71a53b5e
Commit
71a53b5e
authored
Nov 15, 2020
by
Stefan Mauerberger
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Link FieldTools
parent
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README.md
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...
...
@@ -20,9 +20,9 @@ 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
> 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
[

](http://doi.org/10.5880/GFZ.2.3.2019.008)
...
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@@ -38,8 +38,8 @@ graph LR;
ParameterFile-->Exploration-->Integration-->Evaluation;
```
`CORBASS`
uses parameter files, which include among other things a link to
datasets, in a format similar to the
[
GEOMAGIA
](
http://geomagia.gfz-potsdam.de/
)
`CORBASS`
uses parameter files, which include among other things a link to
datasets, in a format similar to the
[
GEOMAGIA
](
http://geomagia.gfz-potsdam.de/
)
output. Thus a first step is to create such a file for your data. You can find
an
[
example
](
examples/Example_Parfile.py
)
in the [
*examples*
section].
...
...
@@ -47,7 +47,7 @@ in the [*examples* section].
Once you have a parameter file, the recommended way to run
`CORBASS`
is to use
```
console
(CORBASS)$
python run.py <path/to/parfile.py>
(CORBASS)$
python run.py <path/to/parfile.py>
```
This way the
`CORBASS`
posterior model coefficients, the NEZ- and DIF-field models
...
...
@@ -55,7 +55,7 @@ and down component and intensity at the CMB are calculated and provided as `.txt
files. The output location is specified in the parameter file.
Under the hood,
`CORBASS`
first explores the model parameter space by using the
`exploration`
module. This way the region of interest, i.e. where the
`exploration`
module. This way the region of interest, i.e. where the
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.
...
...
@@ -66,14 +66,14 @@ each module in the [*examples* section].
[
*examples* section
]:
examples
# Installation
0.
Clone the repository
0.
Clone the repository
```
console
$
git clone https://gitext.gfz-potsdam.de/arthus/corbass.git
```
In the following
`<corbass>`
refers to the path you cloned the
`CORBASS`
repository into.
1.
Download and install
[
Miniconda
](
https://conda.io/miniconda.html
)
for Python 3.
By default, the installation directory
`<conda>`
is
`~/miniconda3/`
.
By default, the installation directory
`<conda>`
is
`~/miniconda3/`
.
If you let conda modify your
`bash.rc`
,
`<conda>/bin/conda`
may be replaced by
`conda`
.
...
...
@@ -99,7 +99,7 @@ each module in the [*examples* section].
$
source
<conda>/bin/activate CORBASS
```
Careful with tcshell, you have to use activate.csh.
Careful with tcshell, you have to use activate.csh.
When you are done, deactivate the environment by
```
console
(CORBASS)$
conda deactivate
...
...
@@ -116,44 +116,44 @@ each module in the [*examples* section].
$
<conda>/bin/conda
env
update
-f
corbass.yml
```
[
FieldTools
]:
https://
gitup.uni-potsdam.de/matusche/fieldtools
[
FieldTools
]:
https://
doi.org/10.5880/fidgeo.2019.033
# Contact
*
[
Maximilian Schanner
](
mailto:arthus@gfz-potsdam.de
)
Helmholtz Centre Potsdam German Research Centre for Geoscienes GFZ
Section 2.3: Geomagnetism
Telegrafenberg
*
[
Maximilian Schanner
](
mailto:arthus@gfz-potsdam.de
)
Helmholtz Centre Potsdam German Research Centre for Geoscienes GFZ
Section 2.3: Geomagnetism
Telegrafenberg
14473 Potsdam, Germany
*
[
Stefan Mauerberger
](
mailto:mauerber@uni-potsdam.de
)
Institut of mathematics
University of Potsdam
Campus Golm, Haus 9
Karl-Liebknecht-Str. 24-25
*
[
Stefan Mauerberger
](
mailto:mauerber@uni-potsdam.de
)
Institut of mathematics
University of Potsdam
Campus Golm, Haus 9
Karl-Liebknecht-Str. 24-25
14476 Potsdam OT Golm, Germany
# References
`CORBASS`
uses
`numpy`
,
`scipy`
,
`pandas`
,
`matplotlib`
and
`cartopy`
:
[
\[scipy\]
](
https://www.scipy.org/
)
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland,
Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson,
Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett,
Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson,
Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng,
Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman,
Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald,
Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt,
and SciPy 1.0 Contributors (2020)
"SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python".
[
\[scipy\]
](
https://www.scipy.org/
)
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland,
Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson,
Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett,
Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson,
Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng,
Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman,
Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald,
Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt,
and SciPy 1.0 Contributors (2020)
"SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python".
Nature Methods, in press.
[
\[pandas\]
](
https://pandas.pydata.org/
)
Wes McKinney (2010)
"Data structures for statistical computing in python",
[
\[pandas\]
](
https://pandas.pydata.org/
)
Wes McKinney (2010)
"Data structures for statistical computing in python",
Proceedings of the 9th Python in Science Conference, Volume 445
[
\[matplotlib\]
](
https://matplotlib.org/
)
J. D. Hunter (2007)
"Matplotlib: A 2D Graphics Environment",
[
\[matplotlib\]
](
https://matplotlib.org/
)
J. D. Hunter (2007)
"Matplotlib: A 2D Graphics Environment",
Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95
[
\[cartopy\]
](
https://scitools.org.uk/cartopy
)
Met Office (2015)
"Cartopy: a cartographic python library with a Matplotlib interface"
\ No newline at end of file
[
\[cartopy\]
](
https://scitools.org.uk/cartopy
)
Met Office (2015)
"Cartopy: a cartographic python library with a Matplotlib interface"
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