Don’t blink: constraining the circumstellar environment of the interacting type Ia supernova 2015cp

Autor: Ori Fox, Peter Nugent, Assaf Horesh, Stefano Valenti, Chelsea E. Harris, Ken J. Shen, Kate Maguire, Nathaniel R. Butler, Rob Fender, Ariel Goobar, Joe Bright, Mathew Smith, Alexei V. Filippenko, Melissa L. Graham, Patrick L. Kelly
Rok vydání: 2019
Předmět:
Zdroj: The Astrophysical Journal
Astrophysical Journal, vol 868, iss 1
The Astrophysical Journal, vol 868, iss 1
ISSN: 0004-637X
1538-3873
1538-3881
0067-0049
Popis: Despite their cosmological utility, the progenitors of Type Ia supernovae (SNe Ia) are still unknown, with many efforts focused on whether accretion from a nondegenerate companion can grow a carbon-oxygen white dwarf to near the Chandrasekhar mass. The association of SNe Ia resembling SN 1991T ("91T-like") with circumstellar interaction may be evidence for this "single-degenerate" channel. However, the observed circumstellar medium (CSM) in these interacting systems is unlike a stellar wind -- of particular interest, it is sometimes detached from the stellar surface, residing at $\sim 10^{16}~{\rm cm}$. A Hubble Space Telescope (HST) program to discover detached CSM around 91T-like SNe Ia successfully discovered interaction nearly two years after explosion in SN 2015cp (Graham et al., 2018). In this work, we present radio and X-ray follow-up observations of SN 2015cp and analyze them in the framework of Harris, Nugent, & Kasen (2016) to limit the properties of a constant-density CSM shell in this system. Assuming the HST detection was shortly after the shock crossed the CSM, we constrain the total CSM mass in this system to be $< 0.5~{\rm M_\odot}$. This limit is comparable to the CSM mass of supernova PTF11kx, but does not rule out lower masses predicted for recurrent novae. From lessons learned modeling PTF11kx and SN 2015cp, we suggest a strategy for future observations of these events to increase the sample of known interacting SNe Ia.
13 pages, 5 figures, published in The Astrophysical Journal
Databáze: OpenAIRE