Classical Novae Masquerading as Dwarf Novae? Outburst Properties of Cataclysmic Variables with ASAS-SN
Adam Kawash, Laura Chomiuk, Jay Strader, Elias Aydi, Kirill V., Sokolovsky, Tharindu Jayasinghe, Chris S. Kochanek, Patrick Schmeer,, Krzysztof Z. Stanek, Koji Mukai, Ben Shappee, Zachary Way, Connor Basinger,, Tom W.-S. Holoien, and Jose L. Prieto

TL;DR
This study compares the outburst properties of dwarf novae and classical novae using ASAS-SN data, revealing key differences in brightness and decline rates, and assessing the potential for misclassification between these two types of cataclysmic variables.
Contribution
It provides the first detailed comparison of outburst amplitudes and decline times between dwarf and classical novae, demonstrating minimal confusion in their classification.
Findings
Classical novae brighten by ~11 magnitudes, dwarf novae by ~5 magnitudes.
Outburst amplitude and decline time are positively correlated in dwarf novae.
Misclassification of distant dwarf novae as classical novae is minimal.
Abstract
The unprecedented sky coverage and observing cadence of the All-Sky Automated Survey for SuperNovae (ASAS-SN) has resulted in the discovery and continued monitoring of a large sample of Galactic transients. The vast majority of these are accretion-powered dwarf nova outbursts in cataclysmic variable systems, but a small subset are thermonuclear-powered classical novae. Despite improved monitoring of the Galaxy for novae from ASAS-SN and other surveys, the observed Galactic nova rate is still lower than predictions. One way classical novae could be missed is if they are confused with the much larger population of dwarf novae. Here, we examine the properties of 1617 dwarf nova outbursts detected by ASAS-SN and compare them to classical novae. We find that the mean classical nova brightens by ~11 magnitudes during outburst, while the mean dwarf nova brightens by only ~5 magnitudes, with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
