Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-10T16:45:44.407Z Has data issue: false hasContentIssue false

Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining Discovery Engine

Published online by Cambridge University Press:  30 May 2017

Joseph M. Mazzarella
Affiliation:
California Institute of Technology, IPAC, MS 100-22, Pasadena, CA 91125 email: mazz@ipac.caltech.edu
the NED Team
Affiliation:
California Institute of Technology, IPAC, MS 100-22, Pasadena, CA 91125 email: mazz@ipac.caltech.edu
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We review recent advances and ongoing work in evolving the NASA/IPAC Extragalactic Database (NED) beyond an object reference database into a data mining discovery engine. Updates to the infrastructure and data integration techniques are enabling more than a 10-fold expansion; NED will soon contain over a billion objects with their fundamental attributes fused across the spectrum via cross-identifications among the largest sky surveys (e.g., GALEX, SDSS, 2MASS, AllWISE, EMU), and over 100,000 smaller but scientifically important catalogs and journal articles. The recent discovery of super-luminous spiral galaxies exemplifies the opportunities for data mining and science discovery directly from NED’s rich data synthesis. Enhancements to the user interface, including new APIs, VO protocols, and queries involving derived physical quantities, are opening new pathways for panchromatic studies of large galaxy samples. Examples are shown of graphics characterizing the content of NED, as well as initial steps in exploring the database via interactive statistical visualizations.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2017 

References

Helou, G., Madore, B. F., Bicay, M. D., et al. 1990, in: Fabbiano, G., Gallagher, J. S., & Renzini, A. (eds.), Windows on Galaxies, Astrophysics & Space Science Library, 160, 109 CrossRefGoogle Scholar
Hagen, L. M. Z., et al. 2016, ApJ, 826, 210 CrossRefGoogle Scholar
Mazzarella, J. M., & NED Team, 2007 in: Shaw, R., Hill, F. & Bell, D. (eds.), ADASS XVI, ASP Conference Series, 376, 153 Google Scholar
Mazzarella, J. M., et al. 2014, AAS Meeting #223, #302.04Google Scholar
Ogle, P. M., Mazzarella, J., & Ebert, , et al. 2015, in: Taylor, A. R. & Rosolowsky, E. (eds.), ADASS XXIV, ASP Conference Series, 495, 25Google Scholar
Ogle, P. M., Lanz, L., Nader, C., & Helou, G. 2016, ApJ, 817, 109 CrossRefGoogle Scholar
Schmitz, M., Mazzarella, J. M., Madore, B. F., et al. 2014, AAS Meeting #223, #302.05Google Scholar
Steer, I., Madore, B., Mazzarella, J. M., et al. 2017, AJ, in pressGoogle Scholar
Teplitz, H. I., Capak, P., Hanish, D., et al. 2012, AAS Meeting #219, #428.06Google Scholar