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arXiv · 2210.06503

Novae in M51: a New, Much Higher Rate from Multi-epoch HST Data

Shifra Mandel·Michael M. Shara·David Zurek·Charlie Conroy·Pieter van Dokkum
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Abstract

Accurate determination of the rates of nova eruptions in different kinds of galaxies give us strong constraints on those galaxies' underlying white dwarf and binary populations, and those stars' spatial distributions. Until 2016, limitations inherent in ground-based surveys of external galaxies - and dust extinction in the Milky Way - significantly hampered the determination of those rates and how much they differ between different types of galaxies. Infrared Galactic surveys and dense cadence Hubble Space Telescope (HST)-based surveys are overcoming these limitations, leading to sharply increased nova-in-galaxy rates relative to those previously claimed. Here we present 14 nova candidates that were serendipitously observed during a year-long HST survey of the massive spiral galaxy M51 (the "Whirlpool Galaxy"). We use simulations based on observed nova light curves to model the incompleteness of the HST survey in unprecedented detail, determining a nova detection efficiency $ε= 20.3$ percent. The survey's M51 area coverage, combined with $ε$, indicates a conservative M51 nova rate of $172^{+46}_{-37}$ novae yr$^{-1}$, corresponding to a luminosity-specific nova rate (LSNR) of $\sim10.4^{+2.8}_{-2.2}$ novae yr$^{-1}$/$10^{10} L_{\odot,K}$. Both these rates are approximately an order of magnitude higher than those estimated by ground-based studies, contradicting claims of universal low nova rates in all types of galaxies determined by low cadence, ground-based surveys. They demonstrate that, contrary to theoretical models, the HST-determined LSNR in a giant elliptical galaxy (M87) and a giant spiral galaxy (M51) likely do not differ by an order of magnitude or more, and may in fact be quite similar.

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Shifra Mandel, Michael M. Shara, David Zurek, Charlie Conroy, Pieter van Dokkum. 2022-10-17. Novae in M51: a New, Much Higher Rate from Multi-epoch HST Data. https://doi.org/10.1093/mnras%2Fstac2960

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