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The LSST Data Management System

Authors :
Jurić, Mario
Kantor, Jeffrey
Lim, K-T
Lupton, Robert H.
Dubois-Felsmann, Gregory
Jenness, Tim
Axelrod, Tim S.
Aleksić, Jovan
Allsman, Roberta A.
AlSayyad, Yusra
Alt, Jason
Armstrong, Robert
Basney, Jim
Becker, Andrew C.
Becla, Jacek
Bickerton, Steven J.
Biswas, Rahul
Bosch, James
Boutigny, Dominique
Kind, Matias Carrasco
Ciardi, David R.
Connolly, Andrew J.
Daniel, Scott F.
Daues, Gregory E.
Economou, Frossie
Chiang, Hsin-Fang
Fausti, Angelo
Fisher-Levine, Merlin
Freemon, D. Michael
Gee, Perry
Gris, Philippe
Hernandez, Fabio
Hoblitt, Joshua
Ivezić, Željko
Jammes, Fabrice
Jevremović, Darko
Jones, R. Lynne
Kalmbach, J. Bryce
Kasliwal, Vishal P.
Krughoff, K. Simon
Lang, Dustin
Lurie, John
Lust, Nate B.
Mullally, Fergal
MacArthur, Lauren A.
Melchior, Peter
Moeyens, Joachim
Nidever, David L.
Owen, Russell
Parejko, John K
Peterson, J. Matt
Petravick, Donald
Pietrowicz, Stephen R.
Price, Paul A.
Reiss, David J.
Shaw, Richard A.
Sick, Jonathan
Slater, Colin T.
Strauss, Michael A.
Sullivan, Ian S.
Swinbank, John D.
Van Dyk, Schuyler
Vujčić, Veljko
Withers, Alexander
Yoachim, Peter
Jurić, Mario
Kantor, Jeffrey
Lim, K-T
Lupton, Robert H.
Dubois-Felsmann, Gregory
Jenness, Tim
Axelrod, Tim S.
Aleksić, Jovan
Allsman, Roberta A.
AlSayyad, Yusra
Alt, Jason
Armstrong, Robert
Basney, Jim
Becker, Andrew C.
Becla, Jacek
Bickerton, Steven J.
Biswas, Rahul
Bosch, James
Boutigny, Dominique
Kind, Matias Carrasco
Ciardi, David R.
Connolly, Andrew J.
Daniel, Scott F.
Daues, Gregory E.
Economou, Frossie
Chiang, Hsin-Fang
Fausti, Angelo
Fisher-Levine, Merlin
Freemon, D. Michael
Gee, Perry
Gris, Philippe
Hernandez, Fabio
Hoblitt, Joshua
Ivezić, Željko
Jammes, Fabrice
Jevremović, Darko
Jones, R. Lynne
Kalmbach, J. Bryce
Kasliwal, Vishal P.
Krughoff, K. Simon
Lang, Dustin
Lurie, John
Lust, Nate B.
Mullally, Fergal
MacArthur, Lauren A.
Melchior, Peter
Moeyens, Joachim
Nidever, David L.
Owen, Russell
Parejko, John K
Peterson, J. Matt
Petravick, Donald
Pietrowicz, Stephen R.
Price, Paul A.
Reiss, David J.
Shaw, Richard A.
Sick, Jonathan
Slater, Colin T.
Strauss, Michael A.
Sullivan, Ian S.
Swinbank, John D.
Van Dyk, Schuyler
Vujčić, Veljko
Withers, Alexander
Yoachim, Peter
Publication Year :
2015

Abstract

The Large Synoptic Survey Telescope (LSST) is a large-aperture, wide-field, ground-based survey system that will image the sky in six optical bands from 320 to 1050 nm, uniformly covering approximately $18,000$deg$^2$ of the sky over 800 times. The LSST is currently under construction on Cerro Pach\'on in Chile, and expected to enter operations in 2022. Once operational, the LSST will explore a wide range of astrophysical questions, from discovering "killer" asteroids to examining the nature of Dark Energy. The LSST will generate on average 15 TB of data per night, and will require a comprehensive Data Management system to reduce the raw data to scientifically useful catalogs and images with minimum human intervention. These reductions will result in a real-time alert stream, and eleven data releases over the 10-year duration of LSST operations. To enable this processing, the LSST project is developing a new, general-purpose, high-performance, scalable, well documented, open source data processing software stack for O/IR surveys. Prototypes of this stack are already capable of processing data from existing cameras (e.g., SDSS, DECam, MegaCam), and form the basis of the Hyper-Suprime Cam (HSC) Survey data reduction pipeline.<br />Comment: 10 pages, 3 figures, to appear in the Proceedings of ADASS XXV

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1098099633
Document Type :
Electronic Resource