17 research outputs found
Cyber-infrastructure to Support Science and Data Management for the Dark Energy Survey
The Dark Energy Survey (DES; operations 2009-2015) will address the nature of
dark energy using four independent and complementary techniques: (1) a galaxy
cluster survey over 4000 deg2 in collaboration with the South Pole Telescope
Sunyaev-Zel'dovich effect mapping experiment, (2) a cosmic shear measurement
over 5000 deg2, (3) a galaxy angular clustering measurement within redshift
shells to redshift=1.35, and (4) distance measurements to 1900 supernovae Ia.
The DES will produce 200 TB of raw data in four bands, These data will be
processed into science ready images and catalogs and co-added into deeper,
higher quality images and catalogs. In total, the DES dataset will exceed 1 PB,
including a 100 TB catalog database that will serve as a key science analysis
tool for the astronomy/cosmology community. The data rate, volume, and duration
of the survey require a new type of data management (DM) system that (1) offers
a high degree of automation and robustness and (2) leverages the existing high
performance computing infrastructure to meet the project's DM targets. The DES
DM system consists of (1) a grid-enabled, flexible and scalable middleware
developed at NCSA for the broader scientific community, (2) astronomy modules
that build upon community software, and (3) a DES archive to support automated
processing and to serve DES catalogs and images to the collaboration and the
public. In the recent DES Data Challenge 1 we deployed and tested the first
version of the DES DM system, successfully reducing 700 GB of raw simulated
images into 5 TB of reduced data products and cataloguing 50 million objects
with calibrated astrometry and photometry.Comment: 12 pages, 3 color figures, 1 table. Published in SPIE vol. 627
LSST: from Science Drivers to Reference Design and Anticipated Data Products
(Abridged) We describe here the most ambitious survey currently planned in
the optical, the Large Synoptic Survey Telescope (LSST). A vast array of
science will be enabled by a single wide-deep-fast sky survey, and LSST will
have unique survey capability in the faint time domain. 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 wide-field ground-based system sited at
Cerro Pach\'{o}n in northern Chile. The telescope will have an 8.4 m (6.5 m
effective) primary mirror, a 9.6 deg field of view, and a 3.2 Gigapixel
camera. The standard observing sequence will consist of pairs of 15-second
exposures in a given field, with two such visits in each pointing in a given
night. With these repeats, the LSST system is capable of imaging about 10,000
square degrees of sky in a single filter in three nights. The typical 5
point-source depth in a single visit in will be (AB). The
project is in the construction phase and will begin regular survey operations
by 2022. The survey area will be contained within 30,000 deg with
, and will be imaged multiple times in six bands, ,
covering the wavelength range 320--1050 nm. About 90\% of the observing time
will be devoted to a deep-wide-fast survey mode which will uniformly observe a
18,000 deg region about 800 times (summed over all six bands) during the
anticipated 10 years of operations, and yield a coadded map to . The
remaining 10\% of the observing time will be allocated to projects such as a
Very Deep and Fast time domain survey. The goal is to make LSST data products,
including a relational database of about 32 trillion observations of 40 billion
objects, available to the public and scientists around the world.Comment: 57 pages, 32 color figures, version with high-resolution figures
available from https://www.lsst.org/overvie
Viscoelastic Panel Flutter -- Stability Probabilities Of Failure And Survival Times
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