Starfish-develop / Starfish-develop/Starfish
Noise Covariance Matrix
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- Dominant language
- Python
- Stars
- 78
- Forks
- 23
- PR merge metrics
- No merged PRs in 30d
Description
Can I modify the SpectrumModel() function to include the noise covariance matrix (a_N)? How can I go about doing that? When would it be beneficial to add it?
I found that I can use it as a prior, for example, in the form of:
"a_n": st.norm(1, 0.25)
If you could elaborate on it, I would be extremely appreciative.
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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 locating the Python implementation of SpectrumModel() and reviewing how the existing a_n prior is handled. Clarify the intended noise covariance matrix behavior, its benefits, and the acceptance criteria before determining what implementation and validation would be needed.
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Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100