CACR Research Publications » Posts for tag 'Grist'
•

Time Domain Explorations With Digital Sky Surveys

Posted by cacrweb
February 11, 2005
Tags: , , , , ,

In: Astronomical Data Analysis Software and Systems XIV. Astronomical Society of the Pacific Conference Series (XXX). Astronomical Society of the Pacific, San Francisco, CA, P2.2.7.

Ashish A. Mahabal, S. G. Djorgovski, M. J. Graham, Priya Kollipara, Benjamin Granett, Elisabeth Krause, Roy Williams, M. Bogosavljevic, C. Baltay, D. Rabinowitz, A. Bauer, P. Andrews, N. Ellman, S. Duffau, J. Jerke, A. Rengstorf, R. Brunner, J. Musser, S. Mufson and M. Gebhard

Abstract: One of the new frontiers of astronomical research is the exploration of time variability on the sky at different wavelengths and flux levels. We have carried out a pilot project using DPOSS data to study strong variables and transients, and are now extending it to the new Palomar-QUEST synoptic sky survey. We report on our early findings and outline the methodology to be implemented in preparation for a real-time transient detection pipeline. In addition to large numbers of known types of highly variable sources (e.g., SNe, CVs, OVV QSOs, etc.), we expect to find numerous transients whose nature may be established by a rapid follow-up. Whereas we will make all detected variables publicly available through the web, we anticipate that email alerts would be issued in the real time for a subset of events deemed to be the most interesting. This real-time process entails many challenges, in an effort to maintain a high completeness while keeping the contamination low. We will utilize distributed Grid services developed by the GRIST project, and implement a variety of advanced statistical and machine learning techniques.

•

Grist: Grid-based Data Mining for Astronomy

Posted by cacrweb
February 10, 2005
Tags: , , , , ,

In: Astronomical Data Analysis Software and Systems XIV. Astronomical Society of the Pacific Conference Series (XXX). Astronomical Society of the Pacific, San Francisco, CA, P1.3.8.

Joseph C. Jacob, Daniel S. Katz, Craig D. Miller, Harshpreet Walia, Roy Williams, S. George Djorgovski, Matthew Graham, Ashish Mahabal, Jogesh Babu, Daniel E. Vanden Berk and Robert Nichol (2005) 

Abstract: The Grist project is developing a grid-technology based system as a research environment for astronomy with massive and complex datasets. This knowledge extraction system will consist of a library of distributed grid services controlled by a work ow system, compliant with standards emerging from the grid computing, web services, and virtual observatory communities. This new technology is being used to find high redshift quasars, study peculiar variable objects, search for transients in real time, and fit SDSS QSO spectra to measure black hole masses. Grist services are also a component of the “hyperatlas” project to serve high-resolution multi-wavelength imagery over the Internet. In support of these science and outreach objectives, the Grist framework will provide the enabling fabric to tie together distributed grid services in the areas of data access, federation, mining, subsetting, source extraction, image mosaicking, statistics, and visualization. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, and was sponsored by the National Science Foundation through an agreement with the National Aeronautics and Space Administration. Also available: arXiv:astro-ph/0411589 v1 19 Nov 2004