A method of photometric data extraction for asteroids from time-domain surveys
Monthly Notices of the Royal Astronomical Society(2024)
摘要
The lightcurves of asteroids are essential for determining their physical
characteristics, including shape, spin, size, and surface composition. However,
most asteroids are missing some of these basic physical parameters due to lack
of photometric data. Although a few telescopes or surveys are specially
designed for photometric lightcurve observations of asteroids, many
ground-based and space-based sky surveys for hunting new exoplanets, transient
events, etc., should capture numerous small Solar System objects. This will
benefit the physical studies of these objects. In order to extract data of
these moving objects from time-domain photometric surveys, we have developed a
new method using the model tree algorithm in the field of machine learning. A
dedicated module is built to automatically identify moving objects in dataset,
and extract their photometric and astrometric data. As the first application of
this novel method, we have analyzed data in five fields of the Yunnan-Hong Kong
wide field photometric (YNHK) survey, from which 538 lightcurves of 211
asteroids are successfully extracted. Meanwhile, we also tested the method
based on the data from NASA's Transiting Exoplanet Survey Satellite, and the
result proves the reliability of our method. With derived lightcurves of 13
asteroids from the YNHK survey, we have determined their synodic spin periods,
among which the periods of 4 asteroids are estimated for the first time. In
future, we are going to apply this method to search for small objects in the
outer part of the Solar System from the Chinese Space Station Telescope survey.
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关键词
photometric data extraction,asteroids,time-domain
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