Speaker
Description
Core-collapse supernovae (CCSNe) in luminous infrared galaxies (LIRGs) can have extreme line-of-sight host galaxy dust extinctions, which leads to a large fraction of the events to remain undetected by optical and infrared surveys. This population of undetected CCSNe is important to constrain in order to determine the cosmic CCSN rates, which can be used to estimate the cosmic star formation history independently from methods based on galaxy luminosities. Our aim is to confirm and refine our estimates for the undetectable fraction of CCSNe in LIRGs in the local Universe. Our study is based on near-infrared K-band adaptive optics surveys. We determine the limiting magnitudes for CCSN detection for each epoch in our dataset with artificial SN injection and image subtraction methods. Subsequently, we used a Monte Carlo method to determine the combined effects of limiting magnitudes, survey cadence, CCSN subtype distribution, and their light curve evolution diversity. The intrinsic CCSN rates of the sample galaxies were estimated based on detailed modelling of their spectral energy distribution. Finally, we combined the resulting CCSN detection probabilities with the intrinsic CCSN rates for the dataset, and compare that against the real CCSN detections over the survey period. We find that, assuming optical or near-infrared example surveys with capabilities to detect CCSNe in local LIRGs with host extinctions of A_V = 3 or 16 mag, respectively, the resulting total undetectable fractions are 88.3+2.6-3.2% and 61.4+8.5-10.6%, respectively.