bmad-sim / bmad-sim/BeamTracking.jl
Machine learning example.
Open
- Dominant language
- Julia
- Stars
- 8
- Forks
- 8
- Avg merge
- 16h 2m
- Merged PRs (30d)
- 6
Description
A good machine learning problem that can guide the development of the tracking package is:
https://github.com/bmad-sim/Bmad-X/blob/main/docs/examples/optimization/10-quad-optimization.ipynb
Contributor guide
No contributing guide indexed for this repository
Research direction
Read docs/examples/optimization/10-quad-optimization.ipynb in the linked Bmad-X repository to understand the proposed machine-learning example. Then inspect BeamTracking.jl's existing tracking functionality and determine what concrete integration is intended. The issue does not define implementation files, acceptance criteria, or what done looks like, so clarification is needed before work starts.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, jupyter-notebook, machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100