Skip to main content

Synthetic H2 fluorescence code refactored by Cole Meyer, Daniel Lopez-Sanders, Cassandra S. Cruz, Dominik P. Pacholski during Code/Astro 2025. The code is based on ``EMPIRICALLY ESTIMATED FAR-UV EXTINCTION CURVES FOR CLASSICAL T TAURI STARS'', McJunkin, M., France, K., Schindhelm, R., Herczeg, G., Schneider, P. C., & Brown, A. (2016), ApJ, 828, 69.

Project description

h2ssscam

Synthetic H2 fluorescence code refactored by Cole Meyer, Daniel Lopez-Sanders, Cassandra S. Cruz, Dominik P. Pacholski during Code/Astro 2025

The code is based on "EMPIRICALLY ESTIMATED FAR-UV EXTINCTION CURVES FOR CLASSICAL T TAURI STARS", McJunkin, M., France, K., Schindhelm, R., Herczeg, G., Schneider, P. C., & Brown, A. (2016), ApJ, 828, 69.

alt text

Installation instructions

Here are some installation instructions for the average Anaconda user. (Note: in the instructions below, we will assume that you are using a virtual environment named myenv.) We've tested this using Python 3.10.

  1. Activate your virtual environment:
    % conda activate myenv
  2. Install the h2ssscam package and its dependencies:
    % pip install h2ssscam

Usage instructions

You're now ready to use the h2ssscam package! To run the code, execute the following in the terminal:
% python -m h2ssscam

The user may also modify the input parameters for the model. To do so, navigate into the desired directory and run in the terminal
% python -m h2ssscam.create_config_file [directory] [config file name]
If the user would like to save the config file in the current directory, they should specify . in place of [directory]. Note that the file extension for the created configuration file will always be .ini (even if the user specifies some other extension) to satisfy code requirements. Modify the desired parameters and run the model as usual by executing the following in the terminal:
% python -m h2ssscam [directory] [config file name]

Note that package dependencies for h2ssscam are managed using the uv package manager. Advanced users are encouraged to run h2ssscam using uv functionalities (e.g., uv run h2ssscam).

License A rectangular badge, half black half purple containing the text made at Code Astro

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

h2ssscam-0.2.4.tar.gz (510.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

h2ssscam-0.2.4-py3-none-any.whl (511.9 kB view details)

Uploaded Python 3

File details

Details for the file h2ssscam-0.2.4.tar.gz.

File metadata

  • Download URL: h2ssscam-0.2.4.tar.gz
  • Upload date:
  • Size: 510.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for h2ssscam-0.2.4.tar.gz
Algorithm Hash digest
SHA256 1a8c096a4d3456266a97399282bf9d7e089ca6f5fcd9058bb631721783f79d10
MD5 8d2510ab3383294349a4c93dbaa7080d
BLAKE2b-256 8f0946e638b42208d3fb00ac2850c17ff869306ebeaf0ddfbcef912b78ce4b04

See more details on using hashes here.

File details

Details for the file h2ssscam-0.2.4-py3-none-any.whl.

File metadata

  • Download URL: h2ssscam-0.2.4-py3-none-any.whl
  • Upload date:
  • Size: 511.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for h2ssscam-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 2c83d45707a5891c6617318d59208b007f097cedc3a40abc9045e591a97fe1a8
MD5 29e565e783221db37b079348ae7fa99b
BLAKE2b-256 51d988b44d7abad5b8c37f0331f79940287ae436af2249ca0048868cb4c398fa

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page