Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Affiliates 
 Visitors 
 Students 
 Research 
 ICAM-LANL 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Colloquia 
 Colloquia Archive 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 CMS Colloquia 
 Q-Mat Seminars 
 Q-Mat Seminars Archive 
 P/T Colloquia 
 Archive 
 Kac Lectures 
 Kac Fellows 
 Dist. Quant. Lecture 
 Ulam Scholar 
 Colloquia 
 
 Jobs 
 Postdocs 
 CNLS Fellowship Application 
 Students 
 Student Program 
 Visitors 
 Description 
 Past Visitors 
 Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Thursday, April 19, 2012
10:30 AM - 11:30 AM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

The VLA as a Millisecond Transient Survey Machine

Casey Law
University of California - Berkeley

The extreme brightness of millisecond radio transients makes them detectable in unusual environments like the Galactic center, where they can test General Relativity, or in distant galaxies, where they probe the missing baryons in the local Universe. While single-dish telescopes have pioneered the study of millisecond radio transients, their design limits their ability to localize a source, survey efficiently, and reject interference. Interferometers can expand on all these limitations, if they can handle the massive data rate required to produce millisecond visibilities and images. I will describe a new technique that simplifies the interferometric transient detection problem to the single-dish problem, while maintaining the utility of visibilities and images. The technique, based on interferometric closure quantities, is computationally efficient enough to implement in software for real-time, all-time transient detection. I will describe the unique science potential of this technique and the possibility of developing the Very Large Array as a 24/7 transients survey machine.

Host: Scott Vander Wiel, scottv@lanl.gov, CCS-6: STATISTICAL SCIENCES