SN 2023fyq is the first Type Ibn supernova with a directly detected hot luminous progenitor consistent with a low-mass helium star in a binary system, based on pre-explosion imaging, disappearance confirmation, and multi-wavelength environmental analysis.
A statistical study of the environmental age of core-collapse supernovae based on VLT/MUSE integral-field-unit spectroscopy
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abstract
We aim to understand the progenitor channels of CCSNe via a statistical study of the ages of their environments. We compiled a large and minimally biased sample of 129 CCSNe discovered by untargeted wide-field transient surveys and with archival VLT/MUSE integral-field-unit spectroscopy. We measured the local H{\alpha} luminosity within a 300-pc aperture centered on the SN explosion site as an empirical proxy for the environmental age. We find that the environments of Type II(P), IIb and Ib SNe do not show a significant age difference while Type Ic SNe are located in systematically younger environments than the other types (i.e. II $\approx$ IIb $\approx$ Ib > Ic). This is inconsistent with some previous reports of monotonically younger CCSNe environments with increasing envelope stripping (II > IIb > Ib > Ic). Our result suggests that Type Ic SNe have much younger and more massive progenitors than the other CCSN types and they likely originate from a distinct progenitor channel. The distinction between Types II(P), IIb and Ib SNe is insensitive to progenitor mass and mainly due to the different binary separation; in contrast, Type Ic SNe predominantly require much higher-mass progenitors accompanied by close companions with large mass ratios and/or much stronger stellar wind that depends sensitively on progenitor mass.
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SN 2023fyq: direct detection of a Type Ibn supernova progenitor and its multi-wavelength environmental constraints
SN 2023fyq is the first Type Ibn supernova with a directly detected hot luminous progenitor consistent with a low-mass helium star in a binary system, based on pre-explosion imaging, disappearance confirmation, and multi-wavelength environmental analysis.