bluesky-data-collection

Solid

Bluesky experimental orchestration skill for scan automation, data collection, and metadata management

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Bluesky Data Collection ## Purpose Provides expert guidance on Bluesky for experimental orchestration, including scan automation and data management. ## Capabilities - Scan plan execution - Adaptive scanning - Databroker integration - Live visualization - Hardware abstraction (ophyd) - Jupyter integration ## Usage Guidelines 1. **Scan Plans**: Use built-in or custom scan plans 2. **Adaptive Scans**: Implement adaptive scanning strategies 3. **Data Storage**: Configure databroker for data management 4. **Visualization**: Set up live plotting during scans 5. **Hardware**: Define devices with ophyd ## Tools/Libraries - Bluesky - ophyd - databroker

Details

Author: a5c-ai
Repository: a5c-ai/babysitter
Created: 4 months ago
Last Updated: today
Language: JavaScript
License: MIT

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