activity
20032009
most citedThe Revolution in Astronomy Education: Data Science for the Masses

19 citations · 45 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.IM200919 cited

The Revolution in Astronomy Education: Data Science for the Masses

Kirk D. Borne, Suzanne Jacoby, K. Carney +5

As our capacity to study ever-expanding domains of our science has increased (including the time domain, non-electromagnetic phenomena, magnetized plasmas, and numerous sky surveys…

astro-ph20087 cited

The LSST Data Mining Research Agenda

K. D. Borne, J. Becla, I. Davidson +2

We describe features of the LSST science database that are amenable to scientific data mining, object classification, outlier identification, anomaly detection, image quality assur…

astro-ph20087 cited

Parametrization and Classification of 20 Billion LSST Objects: Lessons from SDSS

Z. Ivezic, T. Axelrod, A. C. Becker

The Large Synoptic Survey Telescope (LSST) will be a large, wide-field ground-based system designed to obtain, starting in 2015, multiple images of the sky that is visible from Cer…

cs.DB200612 cited

Designing a Multi-petabyte Database for LSST

Jacek Becla, Andrew Hanushevsky, Sergei Nikolaev +5

The 3.2 giga-pixel LSST camera will produce approximately half a petabyte of archive images every month. These data need to be reduced in under a minute to produce real-time transi…

cs.DB2003

The Redesigned BaBar Event Store: Believe the Hype

Adeyemi Adesanya, Jacek Becla, Daniel Wang

As the BaBar experiment progresses, it produces new and unforeseen requirements and increasing demands on capacity and feature base. The current system is being utilized well beyon…

cs.DB2003

On the Verge of One Petabyte - the Story Behind the BaBar Database System

Adeyemi Adesanya, Tofigh Azemoon, Jacek Becla +8

The BaBar database has pioneered the use of a commercial ODBMS within the HEP community. The unique object-oriented architecture of Objectivity/DB has made it possible to manage ov…