SN 2023fyq: direct detection of a Type Ibn supernova progenitor and its multi-wavelength environmental constraints
Xinyi Hong, Ning-Chen Sun, Yali Shao, Ke Wang, Junjie Wu, Qiang Xi, Yi-Han Zhao, Justyn Maund, Jifeng Liu

TL;DR
This paper reports the first direct detection of a progenitor for a Type Ibn supernova, SN 2023fyq, using multi-wavelength imaging and spectroscopy, providing new insights into its progenitor's nature and environment.
Contribution
It identifies and characterizes the progenitor of SN 2023fyq, supporting a binary low-mass helium star scenario over a massive single star.
Findings
Progenitor is hot, luminous, and has disappeared post-explosion.
Environment analysis suggests a binary progenitor with an age of 10^7.1–7.2 years.
Disfavors very massive single-star progenitors for this supernova.
Abstract
Context. Type Ibn supernovae (SNe) are characterized by narrow helium emission lines arising from ejecta-circumstellar medium interaction, yet their progenitors remain debated, with both massive Wolf-Rayet stars and low-mass helium stars in binaries proposed. Aims. We aim to directly identify the progenitor of the Type Ibn SN 2023fyq and to characterize its environment in order to constrain the progenitor's nature and evolutionary channel. Methods. We search for the SN progenitor based on pre-explosion and late-time HST and JWST images and derive its properties by fitting the spectral energy distribution. We investigate the SN environment by probing the stars, dust, ionized gas and molecular gas with a multi-wavelength dataset including HST and JWST imaging, VLT/MUSE integral-field-unit spectroscopy and ALMA CO (2--1) radio interferometry. Results. We discover a pre-explosion source at…
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