a8864666

a8864666

Independent researcher — orbital dynamics, geometric classifiers, and short-arc astrometry.
Focus: real-time non-Keplerian trajectory detection and ISO identification in large surveys (LSST/Rubin).

Current work

FGOC: Focal-Geometry and Curvature Classifier — ultra-lightweight sub-millisecond diagnostic for 2–5 point short arcs

Designed for LSST Prompt Processing, MOPS integration, and early anomaly detection

Deterministic classifier operating directly on RA/DEC/MJD (no orbit fitting or sampling)

:page_facing_up: Preprint (Zenodo DOI)
Real-Time Identification of Interstellar Objects with a Focal-Geometry Orbital Classifier for the LSST Era

:link: https://doi.org/10.5281/zenodo.17765743

A real-time geometric–curvature framework for early identification of interstellar and non-Keplerian trajectories from 2–5 point LSST short-arc astrometry.
Compatible with LSST Prompt Processing and MOPS workflows; requires no orbit fitting, no sampling, and provides an early anomaly/ISO flag.
This preprint corresponds to the manuscript submitted to the AAS journals (AAS71533).

:page_facing_up: Additional Preprint (Central-Field Framework)
Real-Time Identification of Interstellar Objects with a Focal-Geometry Orbital Classifier

:link: https://doi.org/10.5281/zenodo.17766182

:page_facing_up: Engineering White Paper (Independent Contribution)
FGOC: Complete Engineering Specification and Integration Architecture for LSST Prompt Processing
Document ID: FGOC-2025-01

A comprehensive engineering specification describing the FGOC algorithm, data interfaces, performance characteristics, and proposed integration pathways into LSST Prompt Processing and MOPS short-arc workflows.

This white paper is an independent technical contribution and is not affiliated with, endorsed by, or reviewed by Rubin Observatory. It is provided to support community testing, engineering discussions, and early validation efforts.

:link: http://www.rubin.community/t/proposal-fgoc-focal-geometry-and-curvature-module-for-early-iso-detection-in-lsst-prompt-processing/11330

Code
GitHub: https://github.com/a8864666-rgb/fgoc

AAS submission
Manuscript ID: AAS71533 (submitted Nov 24, 2025)
ASCL entry: submitted

Collaboration
Happy to support Prompt Processing, DM/MOPS testing, or astrometric validation use cases related to FGOC.
Feel free to reach out.