Data Mining for Dwarf Novae in SDSS, GALEX and Astrometric Catalogues

Submitted on 19 Oct 2009. Accepted for publication in Monthly Notices of the Royal Astronomical Society

Patrick Wils, Boris T. Gaensicke, Andrew J. Drake, John Southworth

Abstract: By cross matching blue objects from SDSS with GALEX and the astrometric catalogues USNO-B1.0, GSC2.3 and CMC14, 64 new dwarf nova candidates with one or more observed outbursts have been identified. 14 of these systems are confirmed as cataclysmic variables through existing and follow-up spectroscopy. A study of the amplitude distribution and an estimate of the outburst frequency of these new dwarf novae and those discovered by the Catalina Real-time Transient Survey (CRTS) indicates that besides systems that are faint because they are farther away, there also exists a population of intrinsically faint dwarf novae with rare outbursts.

(arXiv.org entry)

Enabling Computational Plant Development: From Confocal Images to Finite Element Simulations

In Computational Methods in Image Analysis, 10th US National Congress of Computational Mechanics, Columbus, Ohio, USA, July 16 – 19 2009.

Alexandre Cunha

(PDF)

Filtering and Segmentation Models for Computational Image Analysis

Presentation. Kavli Institute for Theoretical Physics, University of California Santa Barbara, September 2009.

Alexandre Cunha

(Video of Presentation)

Computational Morphodynamics: A modeling framework to understand plant growth

Annual Reviews Plant Biology vol. 61, 2010 (to appear).

Vijay Chickarmane, Adrienne H.K Roeder, Paul T Tarr, Alexandre Cunha, Cory Tobin, Elliot M Meyerowitz.

keywords:

Computation for Chip-seq and RNA-seq studies

Nature Methods, to appear.

Shirley Pepke, Barbara Wold, and Ali Mortazavi

Cluster Expansion for Applied and Computational Mathematics, Final Report

PI Dr. Mark Stalzer
Co-PI Dr. Emmanuel Candes
Co-PI Dr. Oscar Bruno
Co-PI Dr. Thomas Hou

(PDF)

Scientific Process Automation and Workflow Management

In A. Shoshani and D. Rotem, editors, “Scientific Data Management: Challenges, Existing Technology, and Deployment”, Computational Science Series, chapter 13. Chapman & Hall/CRC, 2009.

B. Ludäscher, I. Altintas, S. Bowers, J. Cummings, T. Critchlow, E.
Deelman, D. D. Roure, J. Freire, C. Goble, M. Jones, S. Klasky, T.
McPhillips, N. Podhorszki, C. Silva, I. Taylor and M. Vouk.

Whole-volume integrated gyrokinetic simulation of plasma turbulence in realistic diverted-tokamak geometry

SciDAC 2009, Journal of Physics: Conference Series. J Phys: Conf Ser 180 (2009) 012057.

C S Chang, S Ku, P Diamond, M Adams, R Barreto, Y Chen, J Cummings, E D’Azevedo, G Dif-Pradalier, S Ethier, L Greengard, T S Hahm, F Hinton, D Keyes, S Klasky, Z Lin, J Lofstead, G Park, S Parker, N Podhorszki, K Schwan, A Shoshani, D Silver, M Wolf, P Worley, H Weitzner, E Yoon and D Zorin

Scaling to 150K cores: recent algorithm and performance engineering developments enabling XGC1 to run at scale

SciDAC 2009, Journal of Physics: Conference Series. J Phys: Conf Ser 180 (2009) 012036.

M Adams, S Ku, P Worley, E D’Azevedo, J Cummings and C S Chang

Engineering Computational Science and Engineering

“Engineering Computational Science and Engineering”
Mark A. Stalzer
Executive Director, Center for Advanced Computing Research
California Institute of Technology

Abstract
The purpose of computational science and engineering is to use computers to accelerate scientific discovery and engineering design. This has been a major driver in the development of high performance computing. Yet, something is missing. In this talk I suggest a more systems engineering viewpoint of CSE where all parts are considered: sensors, computers, algorithms, and more formally connecting simulations to experiment. In this viewpoint, the question changes: from how fast does the computer go, to how much science can be done for fixed resources. Examples are given from work at CACR.

Slides (5MB PDF)