Asteroid Discovery and Characterization with the Large Synoptic Survey Telescope

被引:32
|
作者
Jones, R. Lynne [1 ]
Juric, Mario [1 ]
Ivezic, Zeljko [1 ]
机构
[1] Univ Washington, Seattle, WA 98195 USA
来源
关键词
surveys; catalogs; minor planets; asteroids;
D O I
10.1017/S1743921315008510
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The Large Synoptic Survey Telescope (LSST) will be a ground-based, optical, allsky, rapid cadence survey project with tremendous potential for discovering and characterizing asteroids. With LSST's large 6.5m diameter primary mirror, a wide 9.6 square degree field of view 3.2 Gigapixel camera, and rapid observational cadence, LSST will discover more than 5 million asteroids over its ten year survey lifetime. With a single visit limiting magnitude of 24.5 in r band, LSST will be able to detect asteroids in the Main Belt down to sub-kilometer sizes. The current strawman for the LSST survey strategy is to obtain two visits (each 'visit' being a pair of back-to-back 15s exposures) per field, separated by about 30 minutes, covering the entire visible sky every 3-4 days throughout the observing season, for ten years. The catalogs generated by LSST will increase the known number of small bodies in the Solar System by a factor of 10-100 times, among all populations. The median number of observations for Main Belt asteroids will be on the order of 200-300, with Near Earth Objects receiving a median of 90 observations. These observations will be spread among ugrizy bandpasses, providing photometric colors and allow sparse lightcurve inversion to determine rotation periods, spin axes, and shape information. These catalogs will be created using automated detection software, the LSST Moving Object Processing System (MOPS), that will take advantage of the carefully characterized LSST optical system, cosmetically clean camera, and recent improvements in difference imaging. Tests with the prototype MOPS software indicate that linking detections (and thus 'discovery') will be possible at LSST depths with our working model for the survey strategy, but evaluation of MOPS and improvements in the survey strategy will continue. All data products and software created by LSST will be publicly available.
引用
收藏
页码:282 / 292
页数:11
相关论文
共 50 条
  • [1] Linking Asteroid Detections from the Large Synoptic Survey Telescope
    Chesley, Steven R.
    Veres, Peter
    [J]. 2018 IEEE AEROSPACE CONFERENCE, 2018,
  • [2] Linking simulated large synoptic survey telescope asteroid observations
    Granvik, M
    Muinonen, K
    Virtanen, J
    Bowell, E
    Wasserman, LH
    [J]. Astrometry in the Age of the Next Generation of Large Telescopes, 2005, 338 : 362 - 365
  • [3] Characterization of atmospheric turbulence for the Large Synoptic Survey Telescope
    Hebert, Claire-Alice
    Macintosh, Bruce
    Burchat, Patricia R.
    [J]. GROUND-BASED AND AIRBORNE TELESCOPES VII, 2018, 10700
  • [4] Fabrication and characterization of filters for the Large Synoptic Survey Telescope
    Sprague, Robert W.
    Flaherty, Patrick
    Houde, Andrew
    Merrill, Michael
    Tatarek, Michael
    [J]. GROUND-BASED AND AIRBORNE INSTRUMENTATION FOR ASTRONOMY VIII, 2020, 11447
  • [5] Large synoptic survey telescope: Overview
    Tyson, JA
    [J]. SURVEY AND OTHER TELESCOPE TECHNOLOGIES AND DISCOVERIES, 2002, 4836 : 10 - 20
  • [6] The Large Synoptic Survey Telescope as a Near-Earth Object discovery machine
    Jones, R. Lynne
    Slater, Colin T.
    Moeyens, Joachim
    Allen, Lori
    Axelrod, Tim
    Cook, Kem
    Ivezic, Zeljko
    Juric, Mario
    Myers, Jonathan
    Petry, Catherine E.
    [J]. ICARUS, 2018, 303 : 181 - 202
  • [7] The Large Synoptic Survey Telescope: Projected Near-Earth Object Discovery Performance
    Chesley, Steven R.
    Veres, Peter
    [J]. 2016 IEEE AEROSPACE CONFERENCE, 2016,
  • [8] The Large Synoptic Survey Telescope Data Challenges
    Kantor, J.
    [J]. SOFTWARE AND CYBERINFRASTRUCTURE FOR ASTRONOMY, 2010, 7740
  • [9] Cosmology with the Large Synoptic Survey Telescope: an overview
    Zhan, Hu
    Tyson, J. Anthony
    [J]. REPORTS ON PROGRESS IN PHYSICS, 2018, 81 (06)
  • [10] AGN science with the large synoptic survey telescope
    Green, Richard F.
    Brandt, W. N.
    Berk, Daniel E. Vanden
    Schneider, Donald P.
    Osmer, Patrick S.
    [J]. CENTRAL ENGINE OF ACTIVE GALACTIC NUCLEI, 2007, 373 : 707 - +