Modelling nova populations in galaxies
Hai-Liang Chen, T. E. Woods, L. R. Yungelson, M. Gilfanov, Zhanwen Han

TL;DR
This study models nova populations in different galaxy types using binary population synthesis, revealing how nova properties vary with galaxy star formation history and matching some observational data.
Contribution
It introduces a hybrid binary population synthesis approach to simulate nova populations across various galaxy star formation histories, providing new insights into their statistical properties.
Findings
Nova rate in elliptical-like galaxies is 10-20 times lower than in spiral-like galaxies.
Most novae in elliptical galaxies have low-mass white dwarfs, long decay times, and faint magnitudes.
Nova properties in M31-like galaxies align with observational data, though bright nova counts may be underestimated.
Abstract
Theoretical modelling of the evolution of classical and recurrent novae plays an important role in studies of binary evolution, nucleosynthesis and accretion physics. However, from a theoretical perspective the observed statistical properties of novae remain poorly understood. In this paper, we have produced model populations of novae using a hybrid binary population synthesis approach for differing star formation histories (SFHs): a starburst case (elliptical-like galaxies), a constant star formation rate case (spiral-like galaxies) and a composite case (in line with the inferred SFH for M31). We found that the nova rate at 10\;Gyr in an elliptical-like galaxy is times smaller than a spiral-like galaxy with the same mass. The majority of novae in elliptical-like galaxies at the present epoch are characterized by low mass white dwarfs (WDs), long decay times, relatively…
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