Identification of asteroids using the Virtual Observatory: the WFCAM Transit Survey
M. Cort\'es-Contreras, F. M. Jim\'enez-Esteban, M. Mahlke, E. Solano,, J. \v{D}urech, S. Barcel\'o Forteza, C. Rodrigo, A. Velasco, B. Carry

TL;DR
This paper presents two robust methodologies for identifying known and new asteroids in large astronomical surveys, leveraging existing tools and pipelines, demonstrated on the WFCAM Transit Survey data, resulting in a catalog of over 1,800 asteroids.
Contribution
The paper introduces complementary methods using SkyBoT and ssos pipeline for asteroid detection in survey data, enabling serendipitous discovery without additional observations.
Findings
Identified 1,821 asteroids, including 182 potential new discoveries.
Created a publicly accessible asteroid catalog.
Determined shapes and periods for five asteroids from light-curves.
Abstract
The nature and physical properties of asteroids, in particular those orbiting in the near-Earth space, are of scientific interest and practical importance. Exoplanet surveys can be excellent resources to detect asteroids, both already known and new objects. This is due their similar observing requirements: large fields of view, long sequences, and short cadence. If the targeted fields are not located far from the ecliptic, many asteroids will cross occasionally the field of view. We present two complementary methodologies to identify asteroids serendipitously observed in large-area astronomical surveys. One methodology focuses on detecting already known asteroids using the Virtual Observatory tool SkyBoT, which predicts their positions and motions in the sky at a specific epoch. The other methodology applies the ssos pipeline, which is able to identify known and new asteroids based on…
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