Probing the 3D Structures of Supernovae through IR Signatures of CO and SiO
T. Mera, P. Hoeflich, C. R. Burns, C. Ashall, K. Medler, E. Fereidouni, W. B. Hoogendam, M. Shahbandeh, S. Shiber, C. M. Pfeffer, E. Baron, J. Lu, N. Morrell, E. Y. Hsiao, M. M. Phillips

TL;DR
This paper introduces MOFAT, a new tool for analyzing molecular features in supernova IR spectra to understand their physical structures and molecule formation processes.
Contribution
MOFAT employs a data-driven, multidimensional radiative transfer approach to probe supernova molecule-forming regions, overcoming limitations of traditional models.
Findings
CO formation triggers SiO formation in supernovae.
SiO-emitting region recedes over time, indicating ongoing formation.
Most flux from SiO originates from optically thin regions.
Abstract
We present a new public-domain MOlecular Fitting Analysis Tool (MOFAT) designed to probe molecule-forming regions in supernovae (SNe) through analysis of molecular features in the near- and mid-infrared. MOFAT employs a novel data-driven approach to explore the physical properties of these regions using time-independent radiative transfer simulations that include multidimensional, clump-like structures, constrained by high-precision observations. Such structures are required to reproduce the flux ratio between fundamental and overtone bands, overcoming limitations of traditional one-zone forward-modeling, such as optical-depth effects and initial configurations. Our approach enables spectral fits that can reconstruct overall abundances and temperatures and determine parameterized small-scale structures associated with physical instabilities. We systematically study the relationship…
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