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euclidemu2-1.2.1
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Python wrapper for EuclidEmulator2
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | euclidemu2-1.2.1 |
| نام | euclidemu2 |
| نسخه کتابخانه | 1.2.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Pedro Carrilho, Mischa Knabenhans |
| ایمیل نویسنده | pedromgcarrilho@gmail.com |
| آدرس صفحه اصلی | https://github.com/PedroCarrilho/EuclidEmulator2/tree/pywrapper |
| آدرس اینترنتی | https://pypi.org/project/euclidemu2/ |
| مجوز | - |
# EuclidEmulator2 (version 1.0.1 of emulator, version 1.2.1 of wrapper)
This package includes a python wrapper of EuclidEmulator2, a fast and accurate tool to estimate the non-linear correction to the matter power spectrum developed by M. Knabenhans.
EuclidEmulator2 allows for 8-parameter cosmological models including massive neutrinos (assuming a degenerate hierarchy) and dynamical dark energy. The source for EuclidEmulator2 is written in C++, with most main functions accessed through the python wrapper.
Authors: M. Knabenhans (emulator), Pedro Carrilho (python wrapper) <br/>
Date of last update: December 2022<br/>
Reference: Euclid Consortium: Knabenhans et al. (submitted), <a>https://arxiv.org/abs/2010.11288</a><br/>
If you use EuclidEmulator2 in any way (for a publication or otherwise), please cite this paper.
<b>Contact information:</b> If you have any questions and/or remarks related to this work, please do not hesitate to send an email to (p.gregoriocarrilho@qmul.ac.uk)
## Currently implemented features in this python wrapper:
* emulation of the non-linear correction factor <i>B(k,z)</i>
* large allowed redshift interval: <i>z</i> in the interval [0.0,10.0]
* spatial scales spanning more than three orders of magnitude: 8.73 x 10<sup>-3</sup> <i>h</i> / Mpc ≤ <i>k</i> ≤ 9.41 <i>h</i> / Mpc.
* Cosmology defined via parameter dictionary
* Outputs numpy arrays
* Can output in custom k-range with extrapolation outside default range
See below for a tutorial on usage explaining these functionalities
## Quick start
### Prerequisites
In any case you need:
* C++11 or later
* GNU Scientific Library version 2.5 or higher (GSL; see https://www.gnu.org/software/gsl/)
* g++ version 4.9.1 or higher
#### GSL install
On most machines, building GSL is relatively simple. To install it locally, e.g. in `~/local/gsl`, use
```
mkdir -p $HOME/local/gsl && cd $HOME/local
wget -c ftp://ftp.gnu.org/gnu/gsl/gsl-latest.tar.gz -O - | tar zxv
```
The install procedure follows standard steps, but each one might take several minutes. Execute each command separately and only continue if there are no errors.
```
./configure --prefix=$HOME/local/gsl
make
make check
make install
```
Once done, make sure to add the GSL library to your library path with
```
export LD_LIBRARY_PATH=$HOME/local/gsl/lib${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}
```
### Usage
To load the package in python use
```
import euclidemu2
```
The main function is `get_boost(cosmo_par, redshifts, k_custom=None)` that takes a dictionary of cosmological parameters, an array with the requested redshifts and an optional array with a custom range of wave numbers. It outputs an array with the k values used and a dictionary with the boosts, indexed in the same order as the chosen redshifts. An example run looks like
```
import euclidemu2
import numpy as np
import matplotlib.pyplot as plt
ee2=euclidemu2.PyEuclidEmulator()
cosmo_par={'As':2.1e-09, 'ns':0.966, 'Omb':0.04,'Omm':0.3,'h':0.68,'mnu':0.15,'w':-1.0,'wa':0.0}
redshifts=[0,2,4,6,8,10]
k, b = ee2.get_boost(cosmo_par,redshifts)
for i in range(len(redshifts)):
plt.loglog(k,b[i],label="z="+str(redshifts[i]))
plt.legend()
plt.show()
```
If everything is correctly installed, this should produce a plot of the boosts for the chosen redshifts.
Should the user have installed `classy`, it is also possible to compute the full non-linear power spectrum via
```
k, pnl, plin, b = ee2.get_pnonlin(cosmo_par, redshifts, k_custom)
```
which will now output `pnl` in addition to the linear power spectrum `plin` and the boost `b`, which are all indexed in the same way as the boost from `get_boost`.
If `classy` is not installed, a warning will appear when loading `euclidemu2` and the `get_pnonlin` function will not work. The `get_boost` function will always work.
<b>Warning:</b> In the most recent versions of Python (e.g. 3.8) `classy` may not work unless it is the first package to be imported. This is taken into account when calling `euclidemu2`, but implies that `euclidemu2` must be the first package to be imported. This has been verified not to be a problem for older versions of python (e.g. 3.6).
## License
EuclidEmulator2 is free software, distributed under the GNU General Public License. This implies that you may freely distribute and copy the software. You may also modify it as you wish, and distribute these modified versions. You must always indicate prominently any changes you made in the original code and leave the copyright notices, and the no-warranty notice intact. Please read the General Public License for more details.
نیازمندی
| مقدار | نام |
|---|---|
| - | cython |
| - | numpy |
| - | scipy |
نحوه نصب
نصب پکیج whl euclidemu2-1.2.1:
pip install euclidemu2-1.2.1.whl
نصب پکیج tar.gz euclidemu2-1.2.1:
pip install euclidemu2-1.2.1.tar.gz