Maximum entropy for gravitational wave data analysis: Inferring the physical parameters of core-collapse supernovae

T. Z. Summerscales, Adam Burrows, Lee Samuel Finn, Christian D. Ott

Research output: Contribution to journalArticle

32 Scopus citations

Abstract

The gravitational wave signal arising from the collapsing iron core of a Type II supernova progenitor star carries with it the imprint of the progenitor's mass, rotation rate, degree of differential rotation, and the bounce depth. Here, we show how to infer the gravitational radiation waveform of a core-collapse event from noisy observations in a network of two or more LIGO-like gravitational wave detectors and, from the recovered signal, constrain these source properties. Using these techniques, predictions from recent core-collapse modeling efforts, and the LIGO performance during its S4 science run, we also show that gravitational wave observations by LIGO might have been sufficient to provide reasonable estimates of the progenitor mass, angular momentum and differential angular momentum, and depth of the core at bounce, for a rotating core-collapse event at a distance of a few kpc.

Original languageEnglish (US)
Pages (from-to)1142-1157
Number of pages16
JournalAstrophysical Journal
Volume678
Issue number2
DOIs
StatePublished - May 10 2008

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

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