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Classification by Boosting Differences in Input Vectors: An application to datasets from Astronomy
N. S. Philip, A. Mahabal, S. Abraham. R. Williams +4
There are many occasions when one does not have complete information in order to classify objects into different classes, and yet it is important to do the best one can since other…
Probing the Outer Galactic halo with RR Lyrae from the Catalina Surveys
A. J. Drake, M. Catelan, S. G. Djorgovski +10
We present the analysis of 12227 type-ab RR Lyrae found among the 200 million public lightcurves in the Catalina Surveys Data Release 1 (CSDR1). These stars span the largest volume…
Flashes in a Star Stream: Automated Classification of Astronomical Transient Events
S. G. Djorgovski, A. A. Mahabal, C. Donalek +4
An automated, rapid classification of transient events detected in the modern synoptic sky surveys is essential for their scientific utility and effective follow-up using scarce re…
Data challenges of time domain astronomy
Matthew J. Graham, S. G. Djorgovski, Ashish Mahabal +3
Astronomy has been at the forefront of the development of the techniques and methodologies of data intensive science for over a decade with large sky surveys and distributed effort…
FIRST-2MASS Red Quasars: Transitional Objects Emerging from the Dust
Eilat Glikman, Tanya Urrutia, Mark Lacy +8
We present a sample of 120 dust-reddened quasars identified by matching radio sources detected at 1.4 GHz in the FIRST survey with the near-infrared 2MASS catalog and color-selecti…
Connecting the time domain community with the Virtual Astronomical Observatory
Matthew J. Graham, S. G. Djorgovski, Ciro Donalek +5
The time domain has been identified as one of the most important areas of astronomical research for the next decade. The Virtual Observatory is in the vanguard with dedicated tools…