2025PASP..137j4507K


Query : 2025PASP..137j4507K

2025PASP..137j4507K - Publ. Astron. Soc. Pac., 137, part no 10, 4507 (2025/October-0)

Inferring Neutron Star Merger Ejecta Morphology with Kilonovae.

KING B.L., DE S., KOROBKIN O., COUGHLIN M.W., PANG P.T.H. and STROTHER T.T.

Abstract (from CDS):

In this study we incorporate a new grid of kilonova simulations produced by the Monte Carlo radiative transfer code SuperNu in an inference pipeline for astrophysical transients and evaluate their performance. These simulations contain four different two-component ejecta morphology classes. We analyze follow-up observational strategies by Vera Rubin Observatory in optical and James Webb Space Telescope (JWST) in mid-infrared (MIR). Our analysis suggests that, within these strategies, it is possible to discriminate between the four different morphologies only when late-time JWST observations in MIR are available. We conclude that follow-ups by the new Vera Rubin Observatory alone are not sufficient to determine ejecta morphology. Additionally, we make comparisons between surrogate models based on radiative transfer simulation grids by SuperNu and POSSIS, by analyzing the historic kilonova AT2017gfo that accompanied the gravitational wave event GW170817. We show that both SuperNu and POSSIS models provide similar fits to photometric observations but their qualitative interpretations differ.

Abstract Copyright: © 2025. The Author(s). Published by IOP Publishing Ltd on behalf of the Astronomical Society of the Pacific (ASP).

Journal keyword(s): Neutron stars - R-process - Radiative transfer simulations - Transient detection - Support vector machine

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 - 2026
#notes
1 NGC 4993 Sy2 13 09 47.6908761600 -23 23 02.314044636   13.34   11.92   ~ 397 0
2 GrW 170817 GWE 13 09 48.0850 -23 22 53.343           ~ 2683 0

To bookmark this query, right click on this link: simbad:objects in 2025PASP..137j4507K and select 'bookmark this link' or equivalent in the popup menu