9,527 research outputs found
The Dark Energy Survey Data Management System
The Dark Energy Survey collaboration will study cosmic acceleration with a
5000 deg2 griZY survey in the southern sky over 525 nights from 2011-2016. The
DES data management (DESDM) system will be used to process and archive these
data and the resulting science ready data products. The DESDM system consists
of an integrated archive, a processing framework, an ensemble of astronomy
codes and a data access framework. We are developing the DESDM system for
operation in the high performance computing (HPC) environments at NCSA and
Fermilab. Operating the DESDM system in an HPC environment offers both speed
and flexibility. We will employ it for our regular nightly processing needs,
and for more compute-intensive tasks such as large scale image coaddition
campaigns, extraction of weak lensing shear from the full survey dataset, and
massive seasonal reprocessing of the DES data. Data products will be available
to the Collaboration and later to the public through a virtual-observatory
compatible web portal. Our approach leverages investments in publicly available
HPC systems, greatly reducing hardware and maintenance costs to the project,
which must deploy and maintain only the storage, database platforms and
orchestration and web portal nodes that are specific to DESDM. In Fall 2007, we
tested the current DESDM system on both simulated and real survey data. We used
Teragrid to process 10 simulated DES nights (3TB of raw data), ingesting and
calibrating approximately 250 million objects into the DES Archive database. We
also used DESDM to process and calibrate over 50 nights of survey data acquired
with the Mosaic2 camera. Comparison to truth tables in the case of the
simulated data and internal crosschecks in the case of the real data indicate
that astrometric and photometric data quality is excellent.Comment: To be published in the proceedings of the SPIE conference on
Astronomical Instrumentation (held in Marseille in June 2008). This preprint
is made available with the permission of SPIE. Further information together
with preprint containing full quality images is available at
http://desweb.cosmology.uiuc.edu/wik
Collaboration Enabling Internet Resource Collection-Building Software and Technologies
Over the last decade the Library of the University of California, Riverside
and its collaborators have developed a number of systems, service designs,
and projects that utilize innovative technologies to foster better Internet
finding tools in libraries and more cooperative and efficient effort in Internet
link and metadata collection building. The open-source software
and projects discussed represent appropriate technologies and sustainable
strategies that we believe will help Internet portals, digital libraries, virtual libraries,
library catalogs-with-portal-like-capabilities (IPDVLCs), and related
collection-building efforts in academia to better scale and more accurately
anticipate and meet the needs of scholarly and educational users.published or submitted for publicatio
Southeastern Librarian 71(3) Fall 2023 (Full Issue)
Complete issue of The Southeastern Librarian Volume 71 Number
Web-Scale Discovery and Federated Search
In stark contrast to the library card catalogs of old, today’s library search interfaces offer much more than one-dimensional, item-specific searching. Users are now engaged in a process of discovery in which they are empowered to control not only the sources of content being searched, but also the context into which information is delivered, and the platform onto which information is synthesized. By eliminating the barriers to information discovery, law libraries can position themselves as true partners in this process, defining their mission in new ways, and providing critical services in an ever-complex information ecosystem
Volume 35, Number 3, September 2015 OLAC Newsletter
Digitized September 2015 issue of the OLAC Newsletter
The rare books catalog and the scholarly database
The article is a researcher's eye view of the value of the library catalog not only as a database to be searched for surrogates of objects of study, but as a corpus of text that can be analyzed in its own right, or incorporated within the researcher's own research database. Barriers are identified in the ways in which catalog data can be output and the technical skills researchers currently need to download, ingest, and manipulate data. Research tools and datasets created by, or in collaboration with, the library community are identified
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