Skip to main content
Rimsky

Rimsky - an orchestrator for automated online parameter estimation

pipeline coverage

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 DevShmSource from sgnligo
    • Handled by generic sgnligo data source.
  • 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.

Avatar created by GPT-5.6 Sol.

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)

Source distribution for rimsky 0.1.0
File Size Uploaded
rimsky-0.1.0.tar.gz 1.3 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for rimsky 0.1.0
File Interpreter ABI Platform
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
cf62d4e6dcebb10fc0fa00a8d2d9c509e156adc3120584cac1789532af2b7b42
BLAKE2b-256 checksum
How to use checksums
ca6535deee240c6397ada4d05790651e1bfe70860af2d6a18efa94e92f0ffd12
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.7

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
4199b84912030936bb8a2b23b9ac8acbeee9c1f873dbc1e4887e6ac9f2792fda
BLAKE2b-256 checksum
How to use checksums
ffc09780c43d99d417f611647b93f48b729b6de0c511262ef67cb18b27edb47c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.7

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page