Type II Supernovae: Model Light Curves and Standard Candle Relationships

TL;DR

This study models Type II supernovae to understand how their light curves and spectra depend on progenitor properties, revealing relationships useful for distance measurement despite some systematic uncertainties.

Contribution

It provides new simulations of supernova explosions across different metallicities and develops formulae linking observables to progenitor and explosion parameters.

Findings

Explosion energies vary from 0.5 to 4.0 x 10^51 ergs.

A tight luminosity-velocity relation explains supernova standardization.

Potential for ~20% distance accuracy using photometric data.

Abstract

A survey of Type II supernovae explosion models has been carried out to determine how their light curves and spectra vary with their mass, metallicity, and explosion energy. The presupernova models are taken from a recent survey of massive stellar evolution at solar metallicity supplemented by new calculations at subsolar metallicity. Explosions are simulated by the motion of a piston near the edge of the iron core and the resulting light curves and spectra are calculated using full multi-wavelength radiation transport. Formulae are developed that describe approximately how the model observables (light curve luminosity and duration) scale with the progenitor mass, explosion energy, and radioactive nucleosynthesis. Comparison with observational data shows that the explosion energy of typical supernovae (as measured by kinetic energy at infinity) varies by nearly an order of magnitude -- from 0.5 to 4.0 x 10^51 ergs, with a typical value of ~0.9 x 10^51 ergs. Despite the large variation, the models exhibit a tight relationship between luminosity and expansion velocity, similar to that previously employed empirically to make SNe IIP standardized candles. This relation is explained by the simple behavior of hydrogen recombination in the supernova envelope, but we find a sensitivity to progenitor metallicity and mass that could lead to systematic errors. Additional correlations between light curve luminosity, duration, and color might enable the use of SNe IIP to obtain distances accurate to ~20% using only photometric data.