The Impact of Black Hole Formation on Population Averaged Supernova Yields

TL;DR

This study investigates how different black hole formation scenarios influence the chemical yields of stellar populations, revealing significant variations and discrepancies with observations that highlight gaps in current massive star evolution models.

Contribution

The paper provides a comprehensive analysis of IMF-averaged yields under various black hole formation assumptions, offering new insights and publicly available tools for chemical evolution modeling.

Findings

Yields of alpha-elements vary by a factor of three across models.

Discrepancies of 2.5-4 times in O/Mg ratios suggest model overproduction of O or underproduction of Mg.

Abundance ratios involving C, N, Mn, Ni are promising diagnostics for black hole formation scenarios.

Abstract

The landscape of black hole (BH) formation -- which massive stars explode as core-collapse supernovae (CCSN) and which implode to BHs -- profoundly affects the IMF-averaged nucleosynthetic yields of a stellar population. Building on the work of Sukhbold et al. (2016), we compute IMF-averaged yields at solar metallicity for a wide range of assumptions, including neutrino-driven engine models with extensive BH formation, models with a simple mass threshold for BH formation, and a model in which all stars from $8-120 \text{M}_{\odot}$ explode. For plausible choices, the overall yields of $\alpha$-elements span a factor of three, but changes in relative yields are more subtle, typically $0.05-0.2$ dex. For constraining the overall level of BH formation, ratios of C and N to O or Mg are promising diagnostics. For distinguishing complex, theoretically motivated landscapes from simple mass thresholds, abundance ratios involving Mn or Ni are promising because of their sensitivity to the core structure of the CCSN progenitors. We confirm previous findings of a substantial (factor $2.5-4$) discrepancy between predicted O/Mg yield ratios and observationally inferred values, implying that models either overproduce O or underproduce Mg. No landscape choice achieves across-the-board agreement with observed abundance ratios; the discrepancies offer empirical clues to aspects of massive star evolution or explosion physics still missing from the models. We find qualitatively similar results using the massive star yields of Limongi & Chieffi (2018). We provide tables of IMF-integrated yields for several landscape scenarios, and more flexible user-designed models can be implemented through the publicly available $\texttt{Versatile Integrator for Chemical Evolution}$ ($\texttt{VICE}$; https://pypi.org/project/vice/).