Spectrophotometric templates for core collapse supernovae and their application in simulations of time-domain surveys

M. Vincenzi, M. Sullivan, R. E. Firth, C. P. Gutiérrez, C. Frohmaier +3 more
8/13/2019
astro-ph.HE

Official code: maria-vincenzi/PyCoCo_templates (3 stars, last commit 2021-05-08).

Abstract

The design and analysis of time-domain sky surveys requires the ability to simulate accurately realistic populations of core collapse supernova (SN) events. We present a set of spectral time-series templates designed for this purpose, for both hydrogen-rich (type II, IIn, IIb) and stripped envelope (types Ib, Ic, Ic-BL) core collapse supernovae. We use photometric and spectroscopic data for 67 core collapse supernovae from the literature, and for each generate a time-series spectral template. The techniques used to build the templates are fully data-driven with no assumption of any parametric form or model for the light curves. The template-building code is open-source, and can be applied to any transient for which well-sampled multi-band photometry and multiple spectroscopic observations are available. We extend these spectral templates into the near-ultraviolet to $λλ\sim 1600 Å$ using observer-frame ultraviolet photometry. We also provide a set of templates corrected for host galaxy dust extinction, and provide a set of luminosity functions that can be used with our spectral templates in simulations. We give an example of how these templates can be used by integrating them within the popular SN simulation package $\textsc{snana}$, and simulating core collapse supernovae in photometrically-selected cosmological type Ia supernova samples, prone to contamination from core collapse events.

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Code Implementations(1)

Building templates of Core Collapse SNe

33sed, PythonMay 1, 20195 years ago

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Cite this paper

@article{vincenzi2019spectrophotometric,
  title  = {Spectrophotometric templates for core collapse supernovae and their application in simulations of time-domain surveys},
  author = {M. Vincenzi and M. Sullivan and R. E. Firth and C. P. Gutiérrez and C. Frohmaier and M. Smith and C. Angus and R. C. Nichol},
  year   = {2019},
  eprint = {1908.05228},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1908.05228}
}

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