The Pan-STARRS Moving Object Processing System

被引:136
作者
Denneau, Larry [1 ]
Jedicke, Robert [1 ]
Grav, Tommy [2 ]
Granvik, Mikael [3 ]
Kubica, Jeremy
Milani, Andrea [4 ]
Veres, Peter [1 ]
Wainscoat, Richard [1 ]
Chang, Daniel [1 ]
Pierfederici, Francesco [5 ]
Kaiser, N. [1 ]
Chambers, K. C. [1 ]
Heasley, J. N. [1 ]
Magnier, Eugene A. [1 ]
Price, P. A. [6 ]
Myers, Jonathan [7 ]
Kleyna, Jan [1 ]
Hsieh, Henry [1 ]
Farnocchia, Davide [4 ,8 ]
Waters, Chris [1 ]
Sweeney, W. H. [1 ]
Green, Denver [1 ]
Bolin, Bryce [1 ]
Burgett, W. S. [1 ]
Morgan, J. S. [1 ]
Tonry, John L. [1 ]
Hodapp, K. W. [1 ]
Chastel, Serge [1 ]
Chesley, Steve [8 ]
Fitzsimmons, Alan [9 ]
Holman, Matthew [10 ]
Spahr, Tim [11 ]
Tholen, David [1 ]
Williams, Gareth V. [11 ]
Abe, Shinsuke [12 ]
Armstrong, J. D. [1 ]
Bressi, Terry H. [13 ]
Holmes, Robert [14 ]
Lister, Tim [15 ]
McMillan, Robert S. [13 ]
Micheli, Marco [1 ]
Ryan, Eileen V. [16 ]
Ryan, William H. [16 ]
Scotti, James V. [13 ]
机构
[1] Univ Hawaii, Inst Astron, Honolulu, HI 96822 USA
[2] Johns Hopkins Univ, Baltimore, MD USA
[3] Univ Helsinki, Dept Phys, FIN-00014 Helsinki, Finland
[4] Univ Pisa, Pisa, Italy
[5] Space Telescope Sci Inst, Baltimore, MD 21218 USA
[6] Princeton Univ, Dept Astrophys Sci, Princeton, NJ 08544 USA
[7] Univ Arizona, Tucson, AZ USA
[8] CALTECH, Jet Prop Lab, Pasadena, CA USA
[9] Queens Univ Belfast, Astrophys Res Ctr, Sch Math & Phys, Belfast BT7 1NN, Antrim, North Ireland
[10] Harvard Smithsonian Ctr Astrophys, Cambridge, MA 02138 USA
[11] Smithsonian Astrophys Observ, Cambridge, MA USA
[12] Natl Cent Univ, Inst Astron, Taipei, Taiwan
[13] Univ Arizona, Lunar & Planetary Lab, Tucson, AZ 85721 USA
[14] Astron Res Inst, Charleston, IL 61920 USA
[15] Las Cumbres Observ Global Telescope Network Inc, Santa Barbara, CA 93117 USA
[16] New Mexico Inst Min & Technol, Magdalena Ridge Observ, Socorro, NM 87801 USA
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
ORBIT DETERMINATION; SIZE DISTRIBUTION; EARTH; IDENTIFICATION; CALIBRATION; ASTEROIDS;
D O I
10.1086/670337
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We describe the Pan-STARRS Moving Object Processing System (MOPS), a modern software package that produces automatic asteroid discoveries and identifications from catalogs of transient detections from next-generation astronomical survey telescopes. MOPS achieves >99.5% efficiency in producing orbits from a synthetic but realistic population of asteroids whose measurements were simulated for a Pan-STARRS4-class telescope. Additionally, using a nonphysical grid population, we demonstrate that MOPS can detect populations of currently unknown objects such as interstellar asteroids. MOPS has been adapted successfully to the prototype Pan-STARRS1 telescope despite differences in expected false detection rates, fill-factor loss, and relatively sparse observing cadence compared to a hypothetical Pan-STARRS4 telescope and survey. MOPS remains highly efficient at detecting objects but drops to 80% efficiency at producing orbits. This loss is primarily due to configurable MOPS processing limits that are not yet tuned for the Pan-STARRS1 mission. The core MOPS software package is the product of more than 15 person-years of software development and incorporates countless additional years of effort in third-party software to perform lower-level functions such as spatial searching or orbit determination. We describe the high-level design of MOPS and essential subcomponents, the suitability of MOPS for other survey programs, and suggest a road map for future MOPS development.
引用
收藏
页码:357 / 395
页数:39
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