2020ApJ...898...29T


Query : 2020ApJ...898...29T

2020ApJ...898...29T - Astrophys. J., 898, 29-29 (2020/July-3)

Comparing moment-based and Monte Carlo methods of radiation transport modeling for Type II-Plateau supernova light curves.

TSANG B.T.-H., GOLDBERG J.A., BILDSTEN L. and KASEN D.

Abstract (from CDS):

Time-dependent electromagnetic signatures from core-collapse supernovae are the result of detailed transport of the shock-deposited and radioactively powered radiation through the stellar ejecta. Due to the complexity of the underlying radiative processes, considerable approximations are made to simplify key aspects of the radiation transport problem. We present a systematic comparison of the moment-based radiation hydrodynamical code STELLA and the Monte Carlo radiation transport code Sedona in the 1D modeling of Type II-Plateau supernovae. Based on explosion models generated from the Modules for Experiments in Stellar Astrophysics instrument, we find remarkable agreements in the modeled light curves and the ejecta structure thermal evolution, affirming the fidelity of both radiation transport modeling approaches. The radiative moments computed directly by the Monte Carlo scheme in Sedona also verify the accuracy of the moment-based scheme. We find that the coarse resolutions of the opacity tables and the numerical approximations in STELLA have an insignificant impact on the resulting bolometric light curves, making it an efficient tool for the specific task of optical light-curve modeling.

Abstract Copyright: © 2020. The American Astronomical Society. All rights reserved.

Journal keyword(s): Hydrodynamics - Radiative transfer - Core-collapse supernovae

Simbad objects: 2

goto Full paper

goto View the references in ADS

Number of rows : 2
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2024
#notes
1 SN 2017gmr SN* 02 35 30.15 -09 21 15.0           SNII 36 0
2 SN 2009ib SN* 04 17 40.09 -62 46 40.3           SNIIP 54 1

To bookmark this query, right click on this link: simbad:objects in 2020ApJ...898...29T and select 'bookmark this link' or equivalent in the popup menu