TRANSIENT EMISSION MODELING

Codes

CTA scientists use a variety of codes to model radiation transport. Some are in open repositories and we hope to make more available.

Semi-Analytic (ref)

Semi-Analytic is a 1-temperature diffusion code running on top of homologous outflows. This code is very quick and can run large grids of models to get first pass light-curves.

Spectrum + RAGE (ref)

Spectrum is a post-process spectra code using LANL opacities and building upon the radiation-hydrodynamics code (RAGE) at LANL. This set of codes are ideal for problems where shock heating is important.

SuperNu (ref, link)

SuperNu is a program for simulating time-dependent radiation transport in local thermodynamic equilibrium with matter. It applies the methods of Implicit Monte Carlo (IMC) and Discrete Diffusion Monte Carlo (DDMC) for static or homologously expanding spatial grids. The radiation field affects material temperature but does not affect the motion of the fluid. SuperNu may be applied to simulate radiation transport for supernovae with ejecta velocities that are not affected by radiation momentum. The physical opacity calculation includes elements from Hydrogen up to Cobalt. SuperNu is motivated by the ongoing research into the effect of variation in the structure of progenitor star explosions on observables: the brightness and shape of light curves and the temporal evolution of the spectra. Consequently, the code may be used to post-process data from hydrodynamic simulations. SuperNu does not include any capabilities or methods that allow for non-trivial hydrodynamics.

Data

CTA scientists produce data sets of light curves and spectra. Models are listed in order of creation date.

Kilonova models

Reference: Wollaeger et al. (2018), LAUR-17-27847

The first set of kilonova models simulated with SuperNu.

Source term study

Reference: Wollaeger et al. (2019), LAUR-19-22878

Kilonova models including additional source terms from either a pulsar or fallback accretion.

Lanthanide abundance study

Reference: Even et al. (2019), LAUR-19-22878

Kilonova models examining the impact of varying individual lanthanide abundances.

Multi-dimensional morphology study

Reference: Korobkin et al. (2020), LAUR-20-22636

Kilonova models examining the impact of varying the 2-D morphology using a 2 component model.

Active Learning Simulations

Reference: Ristic et al. (2021), LAUR-21-24289

Active Learning Simulations of grid of kilonova models.

Broad Grid of 2-component models

Reference: Wollaeger et al. (2021), LAUR-20-30338

Grid of kilonova models.