Finding Very Small Near-Earth Asteroids using Synthetic Tracking
Michael Shao, Bijan Nemati, Chengxing Zhai, Slava G. Turyshev, Jagmit, Sandhu, Gregg W. Hallinan, and Leon K. Harding

TL;DR
This paper introduces 'synthetic tracking,' a method combining high-speed cameras and advanced image processing to detect and track very small, fast-moving near-Earth asteroids with significantly improved sensitivity and astrometric precision.
Contribution
The paper presents a novel synthetic tracking technique that enhances detection sensitivity and astrometric accuracy for small NEAs, enabling near real-time tracking using high-speed imaging and computational processing.
Findings
Demonstrated 10-fold improvement in astrometric precision.
Achieved a 10-fold increase in detection sensitivity for dim NEAs.
Projected detection of up to 180 small NEAs per night with upgraded equipment.
Abstract
We present an approach that significantly increases the sensitivity for finding and tracking small and fast near Earth asteroids (NEA's). This approach relies on a combined use of a new generation of high-speed cameras which allow short, high frame-rate exposures of moving objects, effectively "freezing" their motion, and a computationally enhanced implementation of the "shift-and-add" data processing technique that helps to improve the signal to noise ratio (SNR) for detection of NEA's. The SNR of a single short exposure of a dim NEA is insufficient to detect it in one frame, but by computationally searching for an appropriate velocity vector, shifting successive frames relative to each other and then co-adding the shifted frames in post-processing, we synthetically create a long-exposure image as if the telescope were tracking the object. This approach, which we call "synthetic…
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