PossiS: Predicting spectra, light curves, and polarization for multidimensional models of supernovae and kilonovae

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Abstract

We present POSSIS, a time-dependent three-dimensional Monte Carlo code for modelling radiation transport in supernovae and kilonovae. The code incorporates wavelength- and time-dependent opacities, and predicts viewing-angle dependent spectra, light curves, and polarization for both idealized and hydrodynamical explosion models. We apply the code to a kilonova model with two distinct ejecta components, one including lanthanide elements with relatively high opacities and the other devoid of lanthanides and characterized by lower opacities. We find that a model with total ejecta mass Mej = 0.04 M⊙ and half-opening angle of the lanthanide-rich component Φ = 30◦ provides a good match to GW 170817/AT 2017gfo for orientations near the polar axis (i.e. for a system viewed close to face-on). We then show how crucial is the use of self-consistent multidimensional models in place of combining one-dimensional models to infer important parameters, such as the ejecta masses. We finally explore the impact of Mej and Φ on the synthetic observables and highlight how the relatively fast computation times of POSSIS make it well-suited to perform parameter-space studies and extract key properties of supernovae and kilonovae. Spectra calculated with POSSIS in this and future studies will be made publicly available.

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Bulla, M. (2019). PossiS: Predicting spectra, light curves, and polarization for multidimensional models of supernovae and kilonovae. Monthly Notices of the Royal Astronomical Society, 489(4), 5037–5045. https://doi.org/10.1093/mnras/stz2495

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