CaltechAUTHORS
Published July 2012 | Version Submitted
Journal Article Open

An algorithm for preferential selection of spectroscopic targets in LEGUE

Creators

  • 1. ROR icon Rensselaer Polytechnic Institute
  • 2. ROR icon American Museum of Natural History
  • 3. ROR icon City University of New York
  • 4. ROR icon National Astronomical Observatories
  • 5. ROR icon NOIRLab
  • 6. ROR icon Heidelberg University
  • 7. ROR icon California Institute of Technology
  • 8. ROR icon University of California, Santa Cruz
  • 9. ROR icon Yunnan Observatories
  • 10. ROR icon Shanghai Astronomical Observatory
  • 11. ROR icon Chinese Academy of Sciences
  • 12. ROR icon Peking University
  • 13. ROR icon New Mexico State University
  • 14. ROR icon Rutgers, The State University of New Jersey
  • 15. ROR icon Purple Mountain Observatory
  • 16. ROR icon Fermilab
  • 17. ROR icon University of Utah
  • 18. ROR icon Nanjing University

Abstract

We describe a general target selection algorithm that is applicable to any survey in which the number of available candidates is much larger than the number of objects to be observed. This routine aims to achieve a balance between a smoothly-varying, well-understood selection function and the desire to preferentially select certain types of targets. Some target-selection examples are shown that illustrate different possibilities of emphasis functions. Although it is generally applicable, the algorithm was developed specifically for the LAMOST Experiment for Galactic Understanding and Exploration (LEGUE) survey that will be carried out using the Chinese Guo Shou Jing Telescope. In particular, this algorithm was designed for the portion of LEGUE targeting the Galactic halo, in which we attempt to balance a variety of science goals that require stars at fainter magnitudes than can be completely sampled by LAMOST. This algorithm has been implemented for the halo portion of the LAMOST pilot survey, which began in October 2011.

Additional Information

© 2012 IOP Publishing. Received 2012 May 11; accepted 2012 June 16. Supported by the National Natural Science Foundation of China. We thank the referee, Sanjib Sharma, for helpful comments on the manuscript. This work was supported by the US National Science Foundation, through grant AST-09-37523, the National Natural Science Foundation of China (Grant Nos. 10573022, 10973015 and 11061120454) and the Chinese Academy of Sciences through grant GJHZ 200812. S. L. is supported by the US National Science Foundation grant AST-09-08419.

Attached Files

Submitted - 1206.3577v1.pdf

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1206.3577v1.pdf

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Additional details

Identifiers

Eprint ID
33778
DOI
10.1088/1674-4527/12/7/004
Resolver ID
CaltechAUTHORS:20120831-114646638

Related works

Describes
Journal Article: 10.1088/1674-4527/12/7/004 (DOI)
Discussion Paper: http://arxiv.org/abs/1206.3577 (URL)

Funding

NSF
AST-0937523
National Natural Science Foundation of China
10573022
National Natural Science Foundation of China
10973015
National Natural Science Foundation of China
11061120454
Chinese Academy of Sciences
GJHZ 200812
NSF
AST-0908419

Dates

Created
2012-08-31
Created from EPrint's datestamp field
Updated
2021-11-09
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Infrared Processing and Analysis Center (IPAC)
Publication Status
Published