Submissions to suggestion box at APS DPP 2024 #2876

For the PlasmaPy booth at the APS DPP conference a few weeks ago, @dschaffner made a suggestion box, and we got a lot of feedback! Here are most of the suggestions we got (with slight edits for clarity):

• If not done already, workshops at conferences? Especially ones geared towards undergraduates and smaller institutions
• More workshops & advertise with user groups to broaden audience
• I would like to add my Saha equation solver for multi-ions into PlasmaPy (I am a developer)
• It's important that the results about different aspects of plasma physics from simulation codes can be compared with other simulation codes.
• Codes to analyze the plasma in the presence of external field
• Codes to analyze the Solev wronc(?) plasma
• Integration with machine learning models. Make an interface for Keras, pytorch machine learning models on GitHub
• Can you add a very basic machine learning interface with easy to use pytorch or Keras commands for physicists who don't know much about machine learning?
• Read GQEQUILIBRIUM file (g-file), identify Cocos, translate to another Cocos, and write a new g-file (this is related to EFIT, I think?)
• Electronics and impedance matching calculator/toolkit for capacitively coupled plasma (CCP) and inductively coupled plasma (ICP) systems
• Optical emission spectroscopy (OES) diagnostics
• Dispersion relation solver for an arbitrary distribution function (e.g., Xenon solver on GitHub)
• Adding a database for different cross-sectional data would be helpful (What are our atomic data needs? #52).
• Adding the different approximations to the Langmuir probe measurements analysis
• Related repository for microwave/radio frequency heating, diagnostic & ray tracing
• Can you provide a function that calculates temperature from a Langmuir probe? 😄
• Spectral analysis feature for scattering and interferometer data
• Want to know more about how this platform is useful. Please send me detail. I would like to contribute as a computaitonal physicist.
• Create an analog to SunPy's Fido class for MAST and LHD data (which are now publicly available)

The next steps will be to create corresponding issues as we're able to, or link to existing issues. I'm also going to try to reach out to a few of the people who submitted suggestions to get more information.