CANFAR Science Platform¶
CANFAR provides authenticated compute and storage for astronomical research. Launch a Session from a Container Image, work with mounted project storage or configured VOSpace Services, and preserve results outside temporary compute.
Choose a starting point¶
- Get started: account, first Session, and first workflow.
- Agent Skill: install the official skill and use CANFAR with your coding agent.
- Platform concepts: Authentication, Server Selection, Sessions, Container Images, and Storage Identifiers.
- Sessions: Notebook, Desktop, CARTA, Firefly, contributed, and headless workflows.
- Storage:
/arc,/scratch, VOSpace, fsspec, and data transfers. - Containers: choose or build a software environment.
- Permissions: accounts, groups, and access control.
- Support: troubleshooting and contact options.
Typical workflow¶
flowchart LR
Account[Account and group access] --> Login[Authenticate]
Login --> Session[Launch a Session]
Session --> Data[Read mounted or remote data]
Data --> Work[Run analysis]
Work --> Result[Save result to persistent storage]
Use the Python client or CLI when the workflow should be repeatable from a script. Use the Demos for a guided command-line exercise.
Community and publication¶
The Community pages collect domain workflows such as ALMA. The DOI guide describes the Data Publication Service. If you use CANFAR in a publication, follow the acknowledgement wording.
Deployment and operator material lives in OpenCADC Deployments.