Core-collapse supernova progenitor constraints using the spatial distributions of massive stars in local galaxies
T. Kangas, L. Portinari, S. Mattila, M. Fraser, E. Kankare, R. G., Izzard, P. James, C. Gonz\'alez-Fern\'andez, J. R. Maund, A. Thompson

TL;DR
This study links the spatial distributions of massive stars in nearby galaxies with supernova types to infer progenitor masses, validating the pixel statistics method for estimating supernova progenitor ages and initial masses.
Contribution
It provides empirical evidence connecting supernova types with specific progenitor mass ranges using spatial correlation analysis in local galaxies.
Findings
Type II-P SNe and red supergiants with >9 M_sun are spatially correlated.
Type Ic SNe and WN stars with >20 M_sun show similar distributions.
Luminous blue variables are more correlated with Hα than type IIn SNe.
Abstract
We study the spatial correlations between the H emission and different types of massive stars in two local galaxies, the Large Magellanic Cloud (LMC) and Messier 33. We compare these to correlations derived for core-collapse supernovae (CCSNe) in the literature to connect CCSNe of different types with the initial masses of their progenitors and to test the validity of progenitor mass estimates which use the pixel statistics method. We obtain samples of evolved massive stars in both galaxies from catalogues with good spatial coverage and/or completeness, and combine them with coordinates of main-sequence stars in the LMC from the SIMBAD database. We calculate the spatial correlation of stars of different classes and spectral types with H emission. We also investigate the effects of distance, noise and positional errors on the pixel statistics method. A higher correlation…
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