Project h1021: Dynamics of Binary Black Hole Systems

Bernd Brügmann (), Ulrich Sperhake (), Doreen Müller (), Roman Gold, Pablo Galaviz, Nobert Lages and Marcus Thierfelder
Additional contact information
Bernd Brügmann: Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut
Ulrich Sperhake: California Institute of Technology
Doreen Müller: Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut
Roman Gold: Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut
Pablo Galaviz: Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut
Nobert Lages: Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut
Marcus Thierfelder: Friedrich-Schiller-Universität Jena, Theoretisch-Physikalisches Institut

A chapter in High Performance Computing in Science and Engineering, Garching/Munich 2009, 2010, pp 395-407 from Springer

Abstract: Abstract The goal of this project is to compute the last phase of the inspiral and merger of two black holes in Einstein’s theory of general relativity. Numerical simulations of binary black hole systems have only recently reached the point where for the first time several complete orbits can be computed. Such simulations pose on the one hand a significant theoretical and technical challenge since the time-dependent Einstein equations have to be solved in the regime of highly dynamic and non-linear gravitational fields. On the other hand, theoretical predictions for the gravitational waves generated in a binary black hole merger are eagerly awaited by a new generation of gravitational wave experiments. The plan is therefore to map out the parameter space of gravitational wave signals from binary black hole inspirals. This research is funded in part by the SFB/Transregio 7 on Gravitational Wave Astronomy, the BMBF/DLR grant for LISA Germany, and the Graduiertenkolleg on Quantum and Gravitational Fields.

Keywords: Black Hole; Gravitational Wave; Numerical Relativity; Gravitational Wave Detection; Binary Black Hole (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-13872-0_33

Ordering information: This item can be ordered from
http://www.springer.com/9783642138720

DOI: 10.1007/978-3-642-13872-0_33

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().