Interpolated kilonova spectra models: necessity for a phenomenological, blue component in the fitting of AT2017gfo spectra
Marko Ristic, Richard O'Shaughnessy, V. Ashley Villar, Ryan T., Wollaeger, Oleg Korobkin, Chris L. Fryer, Christopher J. Fontes, Atul Kedia

TL;DR
This paper introduces a simple interpolation method for kilonova spectra, highlights the necessity of a blue component in spectral models of AT2017gfo, and discusses the limitations of current models in explaining short-wavelength observations.
Contribution
It presents a new interpolation approach for kilonova spectra and emphasizes the need for an additional blue component in spectral modeling of AT2017gfo.
Findings
Interpolated spectra respond to ejecta parameters, post-merger time, and viewing angle.
Spectral data show significant short-wavelength residuals not explained by current models.
Including a radioactive heating component worsens blue photon reprocessing, indicating model limitations.
Abstract
In this work, we present a simple interpolation methodology for spectroscopic time series, based on conventional interpolation techniques (random forests) implemented in widely-available libraries. We demonstrate that our existing library of simulations is sufficient for training, producing interpolated spectra that respond sensitively to varied ejecta parameter, post-merger time, and viewing angle inputs. We compare our interpolated spectra to the AT2017gfo spectral data, and find parameters similar to our previous inferences using broadband light curves. However, the spectral observations have significant systematic short-wavelength residuals relative to our models, which we cannot explain within our existing framework. Similar to previous studies, we argue that an additional blue component is required. We consider a radioactive heating source as a third component characterized by…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Astrophysics and Cosmic Phenomena · Geophysics and Gravity Measurements
