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LSST: From Science Drivers to Reference Design and Anticipated Data Products

Publication ,  Journal Article
Ivezić, Ž; Kahn, SM; Tyson, JA; Abel, B; Acosta, E; Allsman, R; Alonso, D; Alsayyad, Y; Anderson, SF; Andrew, J; Angel, JRP; Angeli, GZ ...
Published in: Astrophysical Journal
March 10, 2019

We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way. LSST will be a large, wide-field ground-based system designed to obtain repeated images covering the sky visible from Cerro Pachón in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg 2 field of view, a 3.2-gigapixel camera, and six filters (ugrizy) covering the wavelength range 320-1050 nm. The project is in the construction phase and will begin regular survey operations by 2022. About 90% of the observing time will be devoted to a deep-wide-fast survey mode that will uniformly observe a 18,000 deg 2 region about 800 times (summed over all six bands) during the anticipated 10 yr of operations and will yield a co-added map to r ∼27.5. These data will result in databases including about 32 trillion observations of 20 billion galaxies and a similar number of stars, and they will serve the majority of the primary science programs. The remaining 10% of the observing time will be allocated to special projects such as Very Deep and Very Fast time domain surveys, whose details are currently under discussion. We illustrate how the LSST science drivers led to these choices of system parameters, and we describe the expected data products and their characteristics.

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Published In

Astrophysical Journal

DOI

EISSN

1538-4357

ISSN

0004-637X

Publication Date

March 10, 2019

Volume

873

Issue

2

Related Subject Headings

  • Astronomy & Astrophysics
  • 5109 Space sciences
  • 5107 Particle and high energy physics
  • 5101 Astronomical sciences
  • 0306 Physical Chemistry (incl. Structural)
  • 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics
  • 0201 Astronomical and Space Sciences
 

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Ivezić, Ž., Kahn, S. M., Tyson, J. A., Abel, B., Acosta, E., Allsman, R., … Neto, A. F. (2019). LSST: From Science Drivers to Reference Design and Anticipated Data Products. Astrophysical Journal, 873(2). https://doi.org/10.3847/1538-4357/ab042c
Ivezić, Ž., S. M. Kahn, J. A. Tyson, B. Abel, E. Acosta, R. Allsman, D. Alonso, et al. “LSST: From Science Drivers to Reference Design and Anticipated Data Products.” Astrophysical Journal 873, no. 2 (March 10, 2019). https://doi.org/10.3847/1538-4357/ab042c.
Ivezić Ž, Kahn SM, Tyson JA, Abel B, Acosta E, Allsman R, et al. LSST: From Science Drivers to Reference Design and Anticipated Data Products. Astrophysical Journal. 2019 Mar 10;873(2).
Ivezić, Ž., et al. “LSST: From Science Drivers to Reference Design and Anticipated Data Products.” Astrophysical Journal, vol. 873, no. 2, Mar. 2019. Scopus, doi:10.3847/1538-4357/ab042c.
Ivezić Ž, Kahn SM, Tyson JA, Abel B, Acosta E, Allsman R, Alonso D, Alsayyad Y, Anderson SF, Andrew J, Angel JRP, Angeli GZ, Ansari R, Antilogus P, Araujo C, Armstrong R, Arndt KT, Astier P, Aubourg E, Auza N, Axelrod TS, Bard DJ, Barr JD, Barrau A, Bartlett JG, Bauer AE, Bauman BJ, Baumont S, Bechtol E, Bechtol K, Becker AC, Becla J, Beldica C, Bellavia S, Bianco FB, Biswas R, Blanc G, Blazek J, Blandford RD, Bloom JS, Bogart J, Bond TW, Booth MT, Borgland AW, Borne K, Bosch JF, Boutigny D, Brackett CA, Bradshaw A, Brandt WN, Brown ME, Bullock JS, Burchat P, Burke DL, Cagnoli G, Calabrese D, Callahan S, Callen AL, Carlin JL, Carlson EL, Chandrasekharan S, Charles-Emerson G, Chesley S, Cheu EC, Chiang HF, Chiang J, Chirino C, Chow D, Ciardi DR, Claver CF, Cohen-Tanugi J, Cockrum JJ, Coles R, Connolly AJ, Cook KH, Cooray A, Covey KR, Cribbs C, Cui W, Cutri R, Daly PN, Daniel SF, Daruich F, Daubard G, Daues G, Dawson W, Delgado F, Dellapenna A, Peyster RD, Val-Borro MD, Digel SW, Doherty P, Dubois R, Dubois-Felsmann GP, Durech J, Economou F, Eifler T, Eracleous M, Emmons BL, Neto AF. LSST: From Science Drivers to Reference Design and Anticipated Data Products. Astrophysical Journal. 2019 Mar 10;873(2).
Journal cover image

Published In

Astrophysical Journal

DOI

EISSN

1538-4357

ISSN

0004-637X

Publication Date

March 10, 2019

Volume

873

Issue

2

Related Subject Headings

  • Astronomy & Astrophysics
  • 5109 Space sciences
  • 5107 Particle and high energy physics
  • 5101 Astronomical sciences
  • 0306 Physical Chemistry (incl. Structural)
  • 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics
  • 0201 Astronomical and Space Sciences