Asteroids in the high cadence transient survey
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We report on the serendipitous observations of solar system objects imaged during the High cadence Transient Survey 2014 observation campaign. Data from this high-cadence wide-field survey was originally analyzed for finding variable static sources using machine learning to select the most-likely candidates. In this work, we search for moving transients consistent with solar system objects and derive their orbital parameters. We use a simple, custom motion detection algorithm to link trajectories and assume Keplerian motion to derive the asteroid's orbital parameters. We use known asteroids from the Minor Planet Center database to assess the detection efficiency of the survey and our search algorithm. Trajectories have an average of nine detections spread over two days, and our fit yields typical errors of sigma(a) similar to 0.07 au, sigma(e) similar to 0.07 and sigma(i) similar to 0.5 degrees in semimajor axis, eccentricity, and inclination, respectively, for known asteroids in our sample. We extract 7700 orbits from our trajectories, identifying 19 near-Earth objects, 6687 asteroids, 14 Centaurs, and 15 trans-Neptunian objects. This highlights the complementarity of supernova wide-field surveys for solar system research and the significance of machine learning to clean data of false detections. It is a good example of the data-driven science that Large Synoptic Survey Telescope will deliver.
Basal Project, Centro de Modelamiento Matematico (CMM), Universidad de Chile PFB-03 Ministry of Economy, Development, and Tourisms Millennium Science Initiative IC120009 BASAL Centro de Astrofisica y Tecnologias Afines (CATA) PFB-06/2007 Conicyt through the Fondecyt Initiation into Research project 11130228 FONDECYT 3130680 3150460 3160747 3140566 Conicyt through the Programme of International Cooperation project US National Science Foundation AST-1311862 Conicyt through the Programme of International Cooperation project DPI20140090 CONICYT Chile CONICYT-PCHA/Doctorado-Nacional/2014-21140892 NLHPC ECM-02 U.S. Department of Energy U.S. National Science Foundation Ministry of Science and Education of Spain Science and Technology Facilities Council of the United Kingdom Higher Education Funding Council for England National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign Kavli Institute of Cosmological Physics at the University of Chicago Center for Cosmology and Astro-Particle Physics at the Ohio State University Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University Financiadora de Estudos e Projetos, Fundacao Carlos Chagas Filho de Amparo Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro Conselho Nacional de Desenvolvimento Cientifico e Tecnologico Ministerio da Ciencia, Tecnologia e Inovacao Deutsche Forschungsgemeinschaft Collaborating Institutions in the Dark Energy Survey
Artículo de publicación ISI
Quote ItemThe Astronomical Journal, 155:135 (7pp), 2018
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