SpectAcLE: An Improved Method for Modeling Light Echo Spectra

Roee Partoush, Armin Rest, Jacob E. Jencson, Dovi Poznanski, Ryan J. Foley, Charles D. Kilpatrick, Jennifer E. Andrews, Rodrigo Angulo, Carles Badenes, Federica B. Bianco, Alexei V. Filippenko, Ryan Ridden-Harper, Xiaolong Li, Steve Margheim, Thomas Matheson, Knut A.G. Olsen, Matthew R. Siebert, Nathan Smith, Douglas L. Welch, A. Zenteno

Research output: Contribution to journalArticlepeer-review

Abstract

Light echoes give us a unique perspective on the nature of supernovae and nonterminal stellar explosions. Spectroscopy of light echoes can reveal details on the kinematics of the ejecta, probe asymmetry, and reveal details of ejecta interaction with circumstellar matter, thus expanding our understanding of these transient events. However, the spectral features arise from a complex interplay between the source photons, the reflecting dust geometry, and the instrumental setup and observing conditions. In this work, we present an improved method for modeling these effects in light echo spectra, one that relaxes the simplifying assumption of a light-curve-weighted sum, and instead estimates the true relative contribution of each phase of a transient event to the observed spectrum. We discuss our logic, the gains we obtain over light echo analysis methods used in the past, and prospects for further improvements. Lastly, we show how the new method improves our analysis of echoes from Tycho’s supernova (SN 1572) as an example.

Original languageEnglish
Article number119
JournalAstrophysical Journal
Volume970
Issue number2
DOIs
StatePublished - 1 Aug 2024

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

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