This README provides a basic overview; however, more in depth documentation, including detailed descriptions of command line arguments and file formats may be found in the following links

Official Documentation (mirror)

PDF Documentation

The TOPS webform provides access to some of the most up to date high temperature radiative opacities. However, entering compositions manually into a webpage can be a chore. Especially when one needs opacities for a variety of rescaled compositions as is often the case when working stellar evolution programs.

pyTOPSScrape aims to address this by providing a simple interface to query the TOPS webform for n tables rescaled from a base composition. Moreover, pyTOPSScrape can transform the parameterization of opacities from mass density and temperature to R and temperature. Additionally, pyTOPSScrape will automatically merge tables from rescaled compositions into a single table mimicking the form of high temperature opacity tables already used by the Dartmouth Stellar Evolution Program (DSEP).

The primary interface for pyTOPSScrape is a bash script included with the package an example use of which follows

generateTOPStables GS98.abun rescalings.dat -d ./rawOutput -o GS98.opac -j 20

Further examples and the data files needed to run them may be found in the examples directory of this repository.

In addition to this bash script pyTOPSScrape provides a programmatic interface made up of primarily the pyTOPSScrape.api.call and pyTOPSScrape.api.TOPS_2_OPAL functions. These can be called individually if you wish to implement your own custom converter function (In that case you would use call and then some custom function in place of TOPS_2_OPAL)

• python >= 3.8
• mechanize >= 0.4.5
• scipy >= 1.5.2
• tqdm >= 4.50.2
• beautifulsoup4 >= 4.8.2
• importlib_resources >= 5.2.0

If you install with pip all the dependencies should be automatically installed.

pip install pyTOPSScrape

git clone https://github.com/tboudreaux/pytopsscrape.git
cd pytopsscrape
python setup.py install

There seem to be small variations in the results I get from the web form for the same inputs between queries. I have yet to track down if this is on my end of on there end but be aware of this. (This also makes some of the tests fail as I am doing a character to character check and not a numeric similarity within threshold check)

There are examples of the command line interface and the python interface in the examples directory of this repository. It is recommended you look at those before querying your own opacity files. The command line examples are all shell scripts with names that describe that they are examples of while the python interface example is in the form of a Jupyter notebook in the examples/Notebooks directory. If you do not have jupyter installed on your computer you should be able to view the .ipynb file on Github.