Skip to main content

Add your description here

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-0.2.1.tar.gz (510.5 kB view details)

Uploaded Source

Built Distribution

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

h2ssscam-0.2.1-py3-none-any.whl (511.8 kB view details)

Uploaded Python 3

File details

Details for the file h2ssscam-0.2.1.tar.gz.

File metadata

  • Download URL: h2ssscam-0.2.1.tar.gz
  • Upload date:
  • Size: 510.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for h2ssscam-0.2.1.tar.gz
Algorithm Hash digest
SHA256 7ec49f7bf86f9c366d40f103602aa3934e7062f0b313c5ac74133ea05d173623
MD5 5d628b95a71d9d167b5fbfe74045400f
BLAKE2b-256 4b20243870dc1eba06f1fa51bd02d45ca774abddce79663869053ff978344271

See more details on using hashes here.

File details

Details for the file h2ssscam-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: h2ssscam-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 511.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for h2ssscam-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f8bc8ca9551f92a7642299ce8daa91f1e94acd1162505284494491367fe34e14
MD5 177b5147402cfb5bbb6b63335a06328d
BLAKE2b-256 0ed880f85dcf806a74c52c5cdfaa3ceb1fc37495d174eae4e429f8c8e6fb73df

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