A Tale of Two Type Ia Supernovae: The fast-declining siblings SNe 2015bo and 1997cn

TL;DR

This paper studies two fast-declining Type Ia supernovae, SN 2015bo and SN 1997cn, revealing their properties, similarities, and potential as reliable distance indicators for cosmology.

Contribution

It provides detailed observations and analysis of two fast-declining SNe Ia, demonstrating their consistency as distance indicators and expanding their role in cosmological measurements.

Findings

SN 2015bo is under-luminous with a fast-evolving light curve.

SN 2015bo and SN 1997cn have consistent distance measurements.

Fast-declining SNe can be reliable distance indicators.

Abstract

We present optical and near-infrared photometric and spectroscopic observations of the fast-declining Type Ia Supernova (SN) 2015bo. SN 2015bo is under-luminous (M$_B$ = -17.67 $\pm$ 0.15 mag) and has a fast-evolving light curve ($\Delta \mathrm{m}_{15}\mathrm{(B)}$ = 1.91 $\pm$ 0.01 mag and $s_{BV}$ = 0.48 $\pm$ 0.01). It has a unique morphology in the $V-r$ color curve, where it is bluer than all other SNe in the comparison sample. A $^{56}$Ni mass of 0.17 $\pm$ 0.03 $M_{\odot}$ was derived from the peak bolometric luminosity, which is consistent with its location on the luminosity-width relation. Spectroscopically, SN 2015bo is a Cool SN in the Branch classification scheme. The velocity evolution measured from spectral features is consistent with 1991bg-like SNe. SN 2015bo has a SN twin (similar spectra) and sibling (same host galaxy), SN 1997cn. Distance moduli of $\mu$ = 34.33 $\pm$ 0.01 (stat) $\pm$0.11 (sys) mag and $\mu$ = 34.34 $\pm$ 0.04 (stat) $\pm$ 0.12 (sys) mag were derived for SN 2015bo and SN 1997cn, respectively. These distances are consistent at the 0.06-$\sigma$ level with each other, and are also consistent with distances derived using surface-brightness fluctuations and redshift-corrected cosmology. This suggests that fast-declining SNe could be accurate distance indicators which should not be excluded from future cosmological analyses.