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Related papers: The Sloan Digital Sky Survey Science Archive: Migr…

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The next-generation astronomy digital archives will cover most of the universe at fine resolution in many wave-lengths, from X-rays to ultraviolet, optical, and infrared. The archives will be stored at diverse geographical locations. One of…

Databases · Computer Science 2016-08-31 Alexander S. Szalay , Peter Kunszt , Ani Thakar , Jim Gray

Relational databases (DBs) are ideal tools to manage bulky and structured data archives. In particular for Astronomy they can be used to fulfill all the requirements of a complex project, i.e. the management of: documents, software (s/w)…

Astrophysics · Physics 2007-05-23 L. Nicastro , G. Calderone

Scientific endeavors such as large astronomical surveys generate databases on the terabyte scale. These, usually multidimensional databases must be visualized and mined in order to find interesting objects or to extract meaningful and…

The next-generation astronomy archives will cover most of the universe at fine resolution in many wavelengths. One of the first of these projects, the Sloan Digital Sky Survey (SDSS) will create a 5-wavelength catalog over 10,000 square…

Astrophysics · Physics 2010-04-23 Alexander S. Szalay , Peter Kunszt , Anirudha Thakar , Jim Gray , Don Slutz

An earlier paper (Szalay et. al. "Designing and Mining MultiTerabyte Astronomy Archives: The Sloan Digital Sky Survey," ACM SIGMOD 2000) described the Sloan Digital Sky Survey's (SDSS) data management needs by defining twenty database…

In time-domain astronomy, we need to use the relational database to manage star catalog data. With the development of sky survey technology, the size of star catalog data is larger, and the speed of data generation is faster. So, in this…

Databases · Computer Science 2018-11-28 Chen Yang , Xiaofeng Meng , Zhihui Du , Zhiqiang Duan , Yongjie Du

The Sloan Digital Sky Survey science database is approaching 2TB. While the vast majority of queries normally execute in seconds or minutes, this interactive execution time can be disproportionately increased by a small fraction of queries…

The NASA Astrophysics Data System (ADS) is the primary Digital Library portal for researchers in astronomy and astrophysics. Over the past 30 years, the ADS has gone from being an astronomy-focused bibliographic database to an open digital…

Instrumentation and Methods for Astrophysics · Physics 2024-01-19 Alberto Accomazzi

Modern astronomical surveys such as the Sloan Digital Sky Survey (SDSS) provide extensive astronomical databases enabling researchers to access vast amount of diverse data. However, retrieving data from archives requires knowledge of query…

Instrumentation and Methods for Astrophysics · Physics 2025-10-31 Prathamesh Tamhane

Science is becoming very data intensive1. Today's astronomy datasets with tens of millions of galaxies already present substantial challenges for data mining. In less than 10 years the catalogs are expected to grow to billions of objects,…

Databases · Computer Science 2009-11-07 Alexander S. Szalay , Jim Gray , Jan vandenBerg

Nowadays medium-large size astronomical projects have to face the management of a large amount of information and data. Dedicated data centres manage the collection of raw and processed data and consequently make them accessible, typically…

Astrophysics · Physics 2007-05-23 Luciano Nicastro , Giorgio Calderone

The data volumes stored in telescope archives is constantly increasing due to the development and improvements in the instrumentation. Often the archives need to be stored over a distributed storage architecture, provided by independent…

Instrumentation and Methods for Astrophysics · Physics 2022-02-07 Y. G. Grange , V. N. Pandey , X. Espinal , R. Di Maria , A. P. Millar

Astronomy is changing. Large projects, large collaborations, and large budgets are becoming the norm. The Sloan Digital Sky Survey (SDSS) is one example of this new astronomy, and in operating the original survey, we put in place and…

Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing…

Astrophysics · Physics 2007-05-23 Robert J. Brunner , S. George Djorgovski , Thomas A. Prince , Alex S. Szalay

The SkyServer provides Internet access to the public Sloan Digi-tal Sky Survey (SDSS) data for both astronomers and for science education. This paper describes the SkyServer goals and archi-tecture. It also describes our experience…

Visualization techniques are well developed for many problem domains, but these systems break down for datasets which are very large or multidimensional. Techniques for data which is discrete rather than continuous are also less well…

Astrophysics · Physics 2007-05-23 Joel Welling , Mark Derthick

Astronomy is entering a new era as multiple, large area, digital sky surveys are in production. The resulting datasets are truly remarkable in their own right; however, a revolutionary step arises in the aggregation of complimentary…

Astrophysics · Physics 2007-05-23 R. J Brunner , T. Prince , J. Good , T. Handley , C. Lonsdale , S. G. Djorgovski

The recent explosion of recorded digital data and its processed derivatives threatens to overwhelm researchers when analysing their experimental data or when looking up data items in archives and file systems. While current hardware…

Over the past decade, astronomers have been using an increasingly larger number of web-based applications and archives to conduct their research. However, despite the early success in creating links across projects and data centers, the…

Instrumentation and Methods for Astrophysics · Physics 2015-03-17 Alberto Accomazzi , Michael J. Kurtz , Stephen S. Murray

The analysis and an efficient scientific exploration of the Digital Palomar Observatory Sky Survey (DPOSS) represents a major technical challenge. The input data set consists of 3 Terabytes of pixel information, and contains a few billion…

Astrophysics · Physics 2015-06-24 S. G. Djorgovski , R. R. de Carvalho , S. C. Odewahn , R. R. Gal , J. Roden , P. Stolorz , A. Gray
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