ORACLE-2 Omni for BTS
ORACLE: Real-time, hierarchical photometric classifier for ZTF (BTS) / LSST (ELAsTiCC).
Part of
Oracle Collection.
Code: github.com/dev-ved30/Oracle
Docs: https://dev-ved30.github.io/Oracle/
Model Details
- Architecture: e.g.
GRU_MD_Improved: Bi-GRU (hidden 128x2 layers) + attention pooling -> LayerNorm/GELU/Dropout(0.2) + static MLP -> residual head -> 16-d latent -> hierarchical logits (n_nodes).
- Inputs: [change per variant]
- Lite:
ts (B,T,5)=[flux, fluxerr, wavelength, mjd-first_det, photflag] + length
- Standard: Lite +
static (B,30 BTS / 18 ELAsTiCC) host/context metadata
- Omni: Standard +
postage_stamp (B,3,224,224) [science, reference, difference]
- Outputs: Conditional probs per sibling group -> class probs per node via
taxonomy.get_class_probabilities(). Use model.predict(table) / model.score(table) -> {level: label}.
- Loss: Weighted Hierarchical Cross-Entropy (WHXE).
- Training data: BTS = ZTF Bright Transient Survey real alerts; ELAsTiCC = ELAsTiCC2 LSST simulations. Truncated by
days_since_trigger.
Intended Use
Real-time triage on alert streams from 1 observation onward. Hierarchical outputs allow high-confidence decisions at Level 1 (Transient vs Variable / Persistent vs Transient) even when leaf is uncertain. Demonstrated live on ZTF stream.
Out-of-scope: Not for spectra, not for anomaly classes outside taxonomy (see Limitations).
