Astronomical application
Real-Time Alert Classification
Classifying the flood of alerts that a survey like Rubin issues — millions each night when something on the sky changes — quickly enough to catch the fleeting events worth following up. It is the problem the community alert brokers exist to solve.
Highlights
- ›Millions of alerts a night, classified as they arrive
Methods, data & targets
Used across astro-ML
Knowledge connections
- Associated withAnomaly Detection
- Associated withVera C. Rubin Observatory
- Associated withRubin Alert Stream
- Associated withCross-Matching
- Associated withAnomaly Detection
- Associated withALeRCE
- Associated withANTARES
- Associated withFink
- Associated withLasair
Sources
The primary and reference sources this topic draws on.
- NASANational Aeronautics and Space Administration
Mission data, planetary science, space telescopes, and public-domain imagery.
Most NASA-produced imagery is in the public domain; individual items are checked for usage terms before publication.