Revisiting the Classics: On the Statistics of Dust Formation in Novae
Abstract
While nova eruptions produce some of the most common and dramatic dust formation episodes among astrophysical transients, the demographics of dust-forming novae remain poorly understood. Here, we present a statistical study of dust formation in 40 novae with high-quality optical/IR light curves, quantitatively distinguishing dust-forming from non-dust-forming novae while exploring the properties of the dust events. We find that 50-70% of novae produce dust, significantly higher than previous estimates. Dust-forming novae can be separated from those that do not show dust formation by using the largest redward () colour change from peak visible brightness; () or () offer useful but less sensitive constraints. This makes optical+IR photometry a powerful tool to quantify dust formation in novae. We find that novae detected in GeV -rays by \emph{Fermi}-LAT appear to form dust more often than novae not detected by \emph{Fermi}, implying a possible connection between -ray producing shocks and dust production. We also find that novae that evolve very quickly ( days) are much less likely to form dust, in agreement with previous findings. We confirm a correlation between and the time of the onset of dust formation (which occurs 1 week--3 months after maximum light), but conclude that it is primarily an observational artifact driven by dust formation determining when a nova drops 2 mag below peak. The significant fraction of novae that form dust make them ideal laboratories in our Galactic backyard to tackle the puzzle of dust formation around explosive transients.
Cite
@article{arxiv.2501.04098,
title = {Revisiting the Classics: On the Statistics of Dust Formation in Novae},
author = {Atticus Chong and Elias Aydi and Peter Craig and Laura Chomiuk and Ashley Stone and Jay Strader and Adam Kawash and Kirill V. Sokolovsky and Fred Walter},
journal= {arXiv preprint arXiv:2501.04098},
year = {2025}
}
Comments
23 pages, 58 figures, 1 table, submitted to MNRAS