A Spitzer Survey for Dust-Obscured Supernovae
Ori D. Fox (STScI), Harish Khandrika, David Rubin, Chadwick Casper,, Gary Z. Li, Tamas Szalai, Lee Armus, Alexei V. Filippenko, Michael F., Skrutskie, Lou Strolger, and Schuyler D. Van Dyk

TL;DR
This study uses a space-based infrared survey with Spitzer to detect dust-obscured supernovae in luminous infrared galaxies, addressing limitations of ground-based observations and aligning observed rates with theoretical models.
Contribution
First infrared space-based survey of dust-obscured supernovae in LIRGs, demonstrating improved sensitivity and detection rates despite PSF challenges.
Findings
Detected 9 supernovae, 5 previously undiscovered by optical surveys.
Forward-modeling improved sensitivity by approximately 1.5 magnitudes.
Observed supernova rates are consistent with theoretical models after sensitivity adjustments.
Abstract
Supernova (SN) rates serve as an important probe of star-formation models and initial mass functions. Near-infrared seeing-limited ground-based surveys typically discover a factor of 3-10 fewer SNe than predicted from far-infrared (FIR) luminosities owing to sensitivity limitations arising from both a variable point-spread function (PSF) and high dust extinction in the nuclear regions of star-forming galaxies. This inconsistency has potential implications for our understanding of star-formation rates and massive-star evolution, particularly at higher redshifts, where star-forming galaxies are more common. To resolve this inconsistency, a successful SN survey in the local universe must be conducted at longer wavelengths and with a space-based telescope, which has a stable PSF to reduce the necessity for any subtraction algorithms and thus residuals. Here we report on a two-year…
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