Rosseland And Planck Opacity Converter
RAPOC: Rosseland And Planck Opacity Converter
RAPOC code is written by Lorenzo V. Mugnai and Darius Modirrousta-Galian and is the product
of a collaboration between Sapienza Università di Roma, Università degli Studi di Palermo and
INAF - Osservatorio Astronomico di Palermo. It uses molecular absorption measurements
(i.e. wavelength-dependent opacities) to calculate Rosseland and
Planck mean opacities that are commonly used in atmospheric modelling.
RAPOC is designed to be simple, straightforward, and easily incorporated
into other codes. It is completely written in Python and documented with docstrings.
In addition, a Sphinx version of the documentation with a full user guide
that includes examples is available in html format.
RAPOC is under development, please report any issues or inaccuracies
to the developers to support the implementation.
If you use this code or its results, please cite
RAPOC: the Rosseland and Planck opacity converter by Mugnai L. V. and Modirrousta-Galian D. (submitted).
Installing from Pypi
RAPOC can be installed from the Pypi repository with the following script::
pip install rapoc
Installing from git
RAPOC may also be cloned from the main git repository::
git clone https://github.com/ExObsSim/Rapoc-public.git
The next step is to move into the
pip install .
To check if one has the correct setup::
python -c "import rapoc"
RAPOC is designed to be used on its own or in conjunction with other Python
codes. Given an ExoMol file in the TauREx.h5 format, Rosseland and Planck mean opacities can be calculated.
For example, in order to estimate the mean opacities at a temperature (T) of 1000 K with a pressure (P) of
10,000 Pa in the wavelength range of 0.3-50 micron the following script is used,
from rapoc import Rosseland, Planck r_model = Rosseland(input_data='exomol_file.TauREx.h5') opacity = r_model.estimate(P_input=10000 * u.Pa, T_input=1000 * u.K, band=(0.3 *u.um, 50*u.um)) p_model = Planck(input_data='exomol_file.TauREx.h5') opacity = p_model.estimate(P_input=10000 * u.Pa, T_input=1000 * u.K, band=(0.3 *u.um, 50*u.um))
To run the code you need measured data. The supported file formats are:
- ExoMol opacities (downloadable here) with the
The full documentation is available here
RAPOC accepts user-defined documentation by using
sphinx. To install it run
pip install sphinx sphinx_rtd_theme
Rapoc/docs folder running
cd docs make html
This will create a html version of the documentation in
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