Extreme gravitational lensing in vicinity of Schwarzschild-de Sitter black holes

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.2478/s11534-007-0033-6

We have developed a realistic, fully general relativistic computer code to simulate optical projection in a strong, spherically symmetric gravitational field. The standard theoretical analysis of optical projection for an observer in the vicinity of a Schwarzschild black hole is extended to black hole spacetimes with a repulsive cosmological constant, i.e, Schwarzschild-de Sitter spacetimes. Influence of the cosmological constant is investigated for static observers and observers radially free-falling from the static radius. Simulations include effects of the gravitational lensing, multiple images, Doppler and gravitational frequency shift, as well as the intensity amplification. The code generates images of the sky for the static observer and a movie simulations of the changing sky for the radially free-falling observer. Techniques of parallel programming are applied to get a high performance and a fast run of the BHC simulation code.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Extreme gravitational lensing in vicinity of Schwarzschild-de Sitter black holes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Extreme gravitational lensing in vicinity of Schwarzschild-de Sitter black holes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Extreme gravitational lensing in vicinity of Schwarzschild-de Sitter black holes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-480712

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.