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					 | 
					
							 
								 Richard Matzner
							
							Professor of Physics, The University of Texas at Austin 
									
Director, Center for Relativity, The University of Texas at Austin 
									
Pricipal Investigator, The Binary Hole Grand Challenge Project
							 
							
Richard Matzner has a long-term interest in gravitation and in
astrophysics. His earliest use of  computational simulations included
radiation spacetimes (e.g., radiation transport in supernovae) and
studies  of radiation around black holes, of nucleosynthesis, and of the
pattern of anisotropies in the cosmic  microwave background. His recent
work has returned to the study of gravitational radiation from
interacting  black holes. 
							 
Astrophysical black holes are interesting because they are the strongest
possible sources of gravitational  radiation, and detectors to search
for them (called LIGO and VIRGO) are under construction. The National
Science Foundation has recently funded a "Computational Grand Challenge"
for the theoretical study of  black holes, involving investigators at
eight universities. This project will develop software structures and
tools and the computational science  algorithms to evolve the black
holes from an initial data specification, through a sufficiently long
evolution  to accurately extract waveform predictions at the outer
surface of the computational cube. 
							 
Other aspects of gravitation and astrophysics have held Matzner's
interest also. He has participated in a  photographic observation of a
total solar eclipse and is currently involved in space-borne experiments
to  measure  relativistic effects. One such project is based on the
LAGEOS laser-ranged  satellite and could measure a subtle ("frame
dragging") effect due to the  rotation of the earth. Matzner also is  on
the Theory Working Group for the  European Space Agency-proposed
experiment called LISA, which is a space-borne interfrometric
gravitational wave detector. 
							 
Matzner has authored or coauthored more than 120 scientific articles and
has coauthored two books (he is an  editor of one more, and of a series
of lecture-transparency conference proceedings). His previous
computational efforts have been dominated by algorithmic questions,
developing adequate models for  physical effects. The Grand Challenge
project has brought with it a new interest in parallel computational
architecture, and the data structure, communications, and
informational databases to support very large-scale  computing.
Directing and participating in a large collaborative project has brought
a number of management challenges  as well. 
							  
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