Rimsky - an orchestrator for automated online parameter estimation
Usage
Run the pipeline with a YAML configuration file:
cd examples
uv run python -m rimsky example.yaml
See example.yaml for the complete configuration format.
Needed functionality
- Streaming simulated data
- Real time PSD estimation and periodic writes to an on-disk cache
- Periodic writes to an on-disk cache of frame data
- Stream real data
- This can use the
DevShmSourcefromsgnligo - Handled by generic sgnligo data source.
- This can use the
- Listening to GW alerts
- Read calibration files from specified directories
- This should keep the latest available calibration file for each detector and watch a regex pattern.
- Writing bilby_pipe config files
- Submitting bilby_pipe jobs
- Adding events to asimov project
Desired functionality
- Better CI testing
- Stream live injections
- This should mirror streaming the real data and output frames containing the raw data + injections. Given the artificially higher signal rate, the PSD should not include the injected strain.
- Handled by generic sgnligo data source.
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Metadata
Release files for rimsky 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rimsky-0.1.0.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rimsky-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / rimsky-0.1.0.tar.gz
| Download URL | rimsky-0.1.0.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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Release files / rimsky-0.1.0-py3-none-any.whl
| Download URL | rimsky-0.1.0-py3-none-any.whl |
|---|---|
| Size | 176.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|