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  5. A Snapshot Survey of Nearby Supernovae with the Hubble Space Telescope

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Article
en
2024

A Snapshot Survey of Nearby Supernovae with the Hubble Space Telescope

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en
2024
Vol 964 (2)
Vol. 964
DOI: 10.3847/1538-4357/ad2175

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Alexei V Filippenko
Alexei V Filippenko

University of California, Berkeley

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Raphael Baer-Way
Asia deGraw
WeiKang Zheng
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Abstract

Abstract Over recent decades, robotic (or highly automated) searches for supernovae (SNe) have discovered several thousand events, many of them in quite nearby galaxies (distances < 30 Mpc). Most of these SNe, including some of the best-studied events to date, were found before maximum brightness and have associated with them extensive follow-up photometry and spectroscopy. Some of these discoveries are so-called “SN impostors,” thought to be superoutbursts of luminous blue variable stars, although possibly a new, weak class of massive-star explosions. We conducted a Snapshot program with the Hubble Space Telescope (HST) and obtained images of the sites of 31 SNe and four impostors, to acquire late-time photometry through two filters. The primary aim of this project was to reveal the origin of any lingering energy for each event, whether it is the result of radioactive decay or, in some cases, ongoing late-time interaction of the SN shock with preexisting circumstellar matter, or the presence of a light echo. Alternatively, lingering faint light at the SN position may arise from an underlying stellar population (e.g., a host star cluster, companion star, or a chance alignment). The results from this study complement and extend those from Snapshot programs by various investigators in previous HST cycles.

How to cite this publication

Raphael Baer-Way, Asia deGraw, WeiKang Zheng, Schuyler D. Van Dyk, Alexei V Filippenko, Ori D. Fox, Thomas G. Brink, Patrick L. Kelly, Nathan Smith, Sergiy S. Vasylyev, Thomas de Jaeger, Keto Zhang, Samantha Stegman, Timothy W. Ross, Sameen Yunus (2024). A Snapshot Survey of Nearby Supernovae with the Hubble Space Telescope. , 964(2), DOI: https://doi.org/10.3847/1538-4357/ad2175.

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Publication Details

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Article

Year

2024

Authors

15

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3847/1538-4357/ad2175

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