This research reveals significant insights into light curve variability in supernovae, indicating how ejecta profiles affect outcomes.
We present 1,800 multiwavelength Type Ib/c supernovae light curve models obtained by running the radiation transport code Sedona and varying the mass distribution, velocity profile, and abundance ejecta profiles of helium star progenitors. To create a flexible but physically-informed grid, we use autoencoders to construct a representation of ejecta profiles derived from stellar evolution models. We present simulated nearest-neighbor multiband light curves matches to SN 1994I, SN 2007gr, and iPTF13bvn to demonstrate that realistic light curves can be generated in our grid. We show that the ejecta velocity distribution, in particular, strongly influences the light curve, while variation in Ni-56 alone has a limited impact on the bolometric light curve, even in extreme and unphysical mixing schemes; however, mixing can modestly impact color evolution. Finally, we show that the Ni-56 mass, ejecta mass, and both the magnitude and structure of ejecta velocity distribution can be inferred from the multiband light curves, enabling improved inference over widely used semianalytical models.
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Yadavalli et al. (2025) studied this question.
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