Hi everyone,
I built a small JupyterLab pipeline for Rubin/Fink alerts. It starts from an already filtered alert subset, selects alerts that are not linked to known Solar System objects (ssObjectId is None or 0), finds candidates with multiple detections / measurable motion, ranks them by morphology, and gives me a top list of about 30–50 interesting comet-like or possibly interstellar-like candidates.
I want to check these top candidates against MPC/known Solar System objects by RA, Dec, and observation time, to make sure they are not already known asteroids or comets.
For this I tested the IMCCE SkyBoT cone search service:
It works in principle, but the responses are unstable: sometimes it returns proper object matches, sometimes it returns no object rows/status-only responses, and sometimes the request fails.
Is there a more reliable API-based way to do this kind of known-SSO positional check against MPC or another recommended service?
This would only be a few dozen queries per day, not a large-scale bulk query. Thank you!