Using the Optical--NIR Spectral Energy Distributions To Search for the Evidence of Dust Formation of 66 Supernovae
Jing-Yao Li, Shan-Qin Wang, Wen-Pei Gan, Tao Wang, Ji-Shun Lian,, Song-Yao Bai, En-Wei Liang

TL;DR
This study investigates dust formation in 66 supernovae using spectral energy distribution modeling, identifying NIR excesses in two cases indicative of pre-existing dust, and estimating dust properties.
Contribution
It introduces a method combining blackbody and dust emission models to detect and analyze dust formation evidence in supernovae SEDs, highlighting cases of pre-existing dust.
Findings
NIR excesses found in 2 supernovae suggest pre-existing dust.
Graphite dust models fit the SEDs better, with temperature estimates.
Dust masses are estimated to be between 0.1 and 7.5 x 10^-4 solar masses.
Abstract
In this paper, we searched for the dust formation evidence of 66 supernovae (SNe) by using the blackbody model and the blackbody plus dust {emission} model to fit their earlytime opticalnear infrared (NIR) spectral energy distributions (SEDs). We find that, while the blackbody model can fit most SEDs of the SNe in our sample, the model cannot fit the SEDs of some SNe, in which the SEDs of 2 SNe (SNe~2010bq and 2012ca) show NIR excesses which can be attributed to the emission from the heated dust. We use blackbody plus dust emission model to fit the SEDs showing NIR excesses, finding that both graphite and silicate dust models can fit the SEDs, and the graphite model get reasonable temperatures or better fits. Assuming that the dust is graphite, the best-fitting temperatures (masses) of the dust of the SNe~2010bq and 2012ca are K (…
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