Hi all,
I’m building Starithm NovaTrace (starithm.ai/novatrace), a real-time astronomical event monitoring platform aimed at researchers working in multi-messenger astronomy. I wanted to share it here and ask for honest feedback from people who actually work with these alerts day to day. What it does right now: - Consumes live GCN Kafka streams from Swift, Fermi, LIGO/Virgo, IceCube, Einstein Probe, SVOM, CHIME, and DSA-110
-
Groups stream notices into canonical events and generates AI summaries from notices + GCN circulars
-
Extracts structured measurements from circulars (RA/Dec, fluence, peak flux, spectral parameters, redshift, etc.)
-
Interactive 3D sky map showing all recent events by position and type
-
Searchable GCN circulars archive
Example event: https://starithm.ai/novatrace/events/GBM_794811435
What’s currently in progress:
- A Bayesian cross-matching pipeline to automatically correlate GW, GRB, neutrino, and optical detections from the same astrophysical source. The idea is to compute false alarm probabilities for spatial/temporal coincidences and flag likely associations across messengers, with LLM-assisted verification of the circulars.
Questions I’d genuinely like feedback on:
1. What’s most broken or missing in how you currently track multi-messenger alerts?
2. Would automated cross-match confidence scores between GW candidates and GRB/neutrino detections be useful or is this already well-covered by existing tools?
3. Would anyone like programmatic access to event data and associations?
Thanks