Numerical Models for Emission Line Nebulae in High Redshift Radio Galaxies

Volker Gaibler () and Max Camenzind
Additional contact information
Volker Gaibler: Zentrum für Astronomie der Universität Heidelberg, Landessternwarte

A chapter in High Performance Computing in Science and Engineering '09, 2010, pp 3-15 from Springer

Abstract: Abstract We examine models for line-emitting gas nebulae around powerful radio galaxies in the early universe. The models assume that either the emitting gas clouds are embedded in the shocked ambient gas and driven outwards with it or that they are created and sustained by multi-phase turbulence in the jet cocoon. For this, we perform jet simulations with realistic density contrasts on large scales and on typical activity time scales of several ten million years. The employed magnetohydrodynamics code NIRVANA has been optimized for the NEC SX machines in the previous years and now runs very efficiently on the SX-6 and SX-8, allowing us simulations both in axisymmetry and full three dimensions. Future simulations on the SX-9 will benefit significantly from the increased number of shared memory processors per node for the axisymmetric runs, where an MPI-parallelization is generally inefficient for our setup due to communication overhead.

Keywords: Radial Velocity; Inclination Angle; Radio Source; High Performance Computing; Radio Galaxy (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:978-3-642-04665-0_1

Ordering information: This item can be ordered from
http://www.springer.com/9783642046650

DOI: 10.1007/978-3-642-04665-0_1

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 ().