TY - JOUR
T1 - SAFARI
T2 - Searching asteroids for activity revealing indicators
AU - Chandler, Colin Orion
AU - Curtis, Anthony M.
AU - Mommert, Michael
AU - Sheppard, Scott S.
AU - Trujillo, Chadwick A.
N1 - Funding Information:
This project used data obtained with the Dark Energy Camera (DECam), which was constructed by the Dark Energy Survey (DES) collaboration. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvi-mento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Enérgeticas, Med-ioambientales y TecnológicasMadrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Fsica d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, the Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, and Texas A&M University.
Funding Information:
Computational analyses were run on Northern Arizona University’s Monsoon computing cluster, funded by Arizona’s Technology and Research Initiative Fund. This work was made possible in part through the State of Arizona Technology and Research Initiative Program. Michael Mommert was supported in part by NASA grant NNX15AE90G to David E. Trilling.
Publisher Copyright:
© 2018. The Astronomical Society of the Pacific. All rights reserved.
PY - 2018/11
Y1 - 2018/11
N2 - Active asteroids behave dynamically like asteroids but display comet-like comae. These objects are poorly understood, with only about 30 identified to date. We have conducted one of the deepest systematic searches for asteroid activity by making use of deep images from the Dark Energy Camera (DECam) ideally suited to the task. We looked for activity indicators among 11,703 unique asteroids extracted from 35,640 images. We detected three previously identified active asteroids ((62412), (1) Ceres and (779) Nina), though only (62412) showed signs of activity. Our activity occurrence rate of 1 in 11,703 is consistent with the prevailing 1 in 10,000 activity occurrence rate estimate. Our proof of concept demonstrates (1) our novel informatics approach can locate active asteroids and (2) DECam data are well-suited to the search for active asteroids.
AB - Active asteroids behave dynamically like asteroids but display comet-like comae. These objects are poorly understood, with only about 30 identified to date. We have conducted one of the deepest systematic searches for asteroid activity by making use of deep images from the Dark Energy Camera (DECam) ideally suited to the task. We looked for activity indicators among 11,703 unique asteroids extracted from 35,640 images. We detected three previously identified active asteroids ((62412), (1) Ceres and (779) Nina), though only (62412) showed signs of activity. Our activity occurrence rate of 1 in 11,703 is consistent with the prevailing 1 in 10,000 activity occurrence rate estimate. Our proof of concept demonstrates (1) our novel informatics approach can locate active asteroids and (2) DECam data are well-suited to the search for active asteroids.
KW - Asteroids: General – Techniques: image processing
KW - Methods: Analytical – Minor planets
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UR - http://www.scopus.com/inward/citedby.url?scp=85055494005&partnerID=8YFLogxK
U2 - 10.1088/1538-3873/aad03d
DO - 10.1088/1538-3873/aad03d
M3 - Article
AN - SCOPUS:85055494005
SN - 0004-6280
VL - 130
JO - Publications of the Astronomical Society of the Pacific
JF - Publications of the Astronomical Society of the Pacific
IS - 993
M1 - 114501
ER -