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The analysis of core-collapse supernova (CCSN) environments can provideimportant information on the life cycle of massive stars and constrain theprogenitor properties of these powerful explosions. The MUSE instrument at theVLT enables detailed local environment constraints of the progenitors of largesamples of CCSNe. Using a homogeneous SN sample from the ASAS-SN survey hasenabled us to perform a minimally biased statistical analysis of CCSNenvironments. We analyze 111 galaxies observed by MUSE that hosted 112 CCSNedetected or discovered by the ASAS-SN survey between 2014 and 2018. Themajority of the galaxies were observed by the the AMUSING survey. Here weanalyze the immediate environment around the SN locations and compare theproperties between the different CCSN types and their light curves. We usedstellar population synthesis and spectral fitting techniques to derive physicalparameters for all HII regions detected within each galaxy, including the starformation rate (SFR), H$\alpha$ equivalent width (EW), oxygen abundance, andextinction. We found that stripped-envelope (SE) SNe occur in environments witha higher median SFR, H$\alpha$ EW, and oxygen abundances than SNe II and SNeIIn/Ibn. The distributions of SNe II and IIn are very similar, indicating thatthese events explode in similar environments. For the SESNe, SNe Ic have highermedian SFRs, H$\alpha$ EWs, and oxygen abundances than SNe Ib. SNe IIb haveenvironments with similar SFRs and H$\alpha$ EWs to SNe Ib, and similar oxygenabundances to SNe Ic. We also show that the postmaximum decline rate, $s$, ofSNe II correlates with the H$\alpha$ EW, and that the luminosity and the$\Delta m_{15}$ parameter of SESNe correlate with the oxygen abundance,H$\alpha$ EW, and SFR at their environments. This suggests a connection betweenthe explosion mechanisms of these events to their environment properties.

astronomy and astrophysics

A characterization of ASAS-SN core-collapse supernova environments with  VLT+MUSE: I. Sample selection, analysis of local environments, and  correlations with light curve properties