TITLE:

DATA MINING IN ASTRONOMY (No. 36)

DATE:

Friday, February 27th, 2004

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Eric Sandquist, Department of Astronomy, San Diego State University

ABSTRACT:

Astronomers are entering a period in which we are overwhelmed with publicly available data covering the entire sky. In fact it is conceivable that “observational” astronomers could build careers without having to ever use a telescope themselves. I discuss the two main types of large all-sky datasets that astronomers are beginning to grapple with (multi-color photometry, and variability surveys), and the types of information that can be extracted from the datasets. Finally, I will describe an application to the detection of the remnants of stellar collisions in clusters of stars.

HOST:

Arlette Baljon

DOWNLOAD: