Update background online
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 18
- Forks
- 28
- Avg merge
- 2d 2h
- Merged PRs (30d)
- 7
Description
The online pipeline loads a fixed background model at startup, but the background needs to be updated periodically from live quiet-time data. Because the background informs both the FAR estimate and the p_astro model, the detection threshold should update alongside it. The update strategy also needs to be determined; e.g., whether to use a rolling window of recent samples or accumulate all data since deployment.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by examining the online pipeline's startup loading of the fixed background model and how that background feeds the FAR estimate, p_astro model, and detection threshold. Determine whether updates should use a rolling window of recent quiet-time samples or accumulate data since deployment, then define how the threshold updates with the background.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100