flexAE
Flexible Autoencoder Framework
Classify single and binary stars from photometry with a flexible autoencoder framework.
flexAE combines autoencoder components with classification to identify unresolved binary-star systems from broadband photometry. Its public research code includes installation guidance and tutorials, with continuing development of documentation and scientific validation.
Maturity
Not specified
Access
Public
No portal sign-in is required.
Maintainers
Tobias Géron
What it supports
Use cases
- Single/binary classification
- Photometric feature reconstruction
- Unresolved stellar systems
- Autoencoder experiments
Where it runs
Runtime homes
GitHub / templateGitHub
Runtime, inputs & outputs
- Distributions
- Source repository
- Runtime
- not-applicable
- Access
- public
- Inputs
- Not specified
- Outputs
- Not specified
Names & abbreviations
- CADC
- Canadian Astronomy Data Centre
- CanDIAPL
- Canadian Data Intensive Astrophysics Platform
Connected work
Related science context
Stellar classification and detection thresholdsPublic flexAE and DETECT code supports photometric classification and detection studies; MultiStarFitting and DETECT DP2 compatibility are current development priorities.