TL;DR
This paper introduces CANFind, an automated method for detecting and analyzing solar system objects in the NOIRLab Source Catalog, revealing over half a million tracklets and insights into their properties and distribution.
Contribution
It presents a novel automated approach for identifying and linking moving objects in a large all-sky catalog, enabling large-scale solar system object detection.
Findings
Detected 527,055 tracklets of moving objects.
Identified distinct groups like Main Belt Asteroids, Trojans, and Kuiper Belt Objects.
Observed bimodal color distributions supporting previous studies.
Abstract
Despite extensive searches and the relative proximity of solar system objects (SSOS) to Earth, many remain undiscovered and there is still much to learn about their properties and interactions. This work is the first in a series dedicated to detecting and analyzing SSOs in the all-sky NOIRLab Source Catalog (NSC). We search the first data release of the NSC with CANFind, a Computationally Automated NSC tracklet Finder. NSC DR1 contains 34 billion measurements of 2.9 billion unique objects, which CANFind categorizes as belonging to "stationary" (distant stars, galaxies) or moving (SSOs) objects via an iterative clustering method. Detections of stationary bodies for proper motion (mu) less than 2.5"/hr (0.017 degrees/day) are identified and analyzed separately. Remaining detections belonging to hi-mu objects are clustered together over single nights to form "tracklets". Each tracklet…
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