Multi-Dimensional Simulations of Radiative Transfer in Aspherical Core-Collapse Supernovae

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, 4 figures. Proceedings of "Origin of Matter and Evolution of Galaxies (OMEG07): From the Dawn of Universe to the Form

Scientific paper

10.1063/1.2943581

We study optical radiation of aspherical supernovae (SNe) and present an approach to verify the asphericity of SNe with optical observations of extragalactic SNe. For this purpose, we have developed a multi-dimensional Monte-Carlo radiative transfer code, SAMURAI (SupernovA MUlti-dimensional RAdIative transfer code). The code can compute the optical light curve and spectra both at early phases (<~ 40 days after the explosion) and late phases (~ 1 year after the explosion), based on hydrodynamic and nucleosynthetic models. We show that all the optical observations of SN 1998bw (associated with GRB 980425) are consistent with polar-viewed radiation of the aspherical explosion model with kinetic energy 20 x 10^{51} ergs. Properties of off-axis hypernovae are also discussed briefly.

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

Multi-Dimensional Simulations of Radiative Transfer in Aspherical Core-Collapse Supernovae 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 Multi-Dimensional Simulations of Radiative Transfer in Aspherical Core-Collapse Supernovae, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multi-Dimensional Simulations of Radiative Transfer in Aspherical Core-Collapse Supernovae will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-174598

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