Kavli Affiliate: Tadayuki Takahashi
| First 5 Authors: Miho Katsuragawa, Shiu-Hang Lee, Hirokazu Odaka, Aya Bamba, Hideaki Matsumura
| Summary:
One of the outstanding mysteries surrounding the rich diversity found in
supernova remnants (SNRs) is the recent discovery of over-ionized or
recombining plasma from a number of dynamically evolved objects. To help
decipher its formation mechanism, we have developed a new simulation framework
capable of modeling the time evolution of the ionization state of the plasma in
an SNR. The platform is based on a one-dimensional hydrodynamics code coupled
to a fully time-dependent non-equilibrium ionization calculation, accompanied
by a spectral synthesis code to generate space-resolved broadband X-ray spectra
for SNRs at arbitrary ages. We perform a comprehensive parametric survey to
investigate the effects of different circumstellar environments on the
ionization state evolution in SNRs up to a few 10,000 years. A two-dimensional
parameter space, spanned by arrays of interstellar medium (ISM) densities and
mass-loss rates of the progenitor, is used to create a grid of models for the
surrounding environment, in which a core-collapse explosion is triggered. Our
results show that a recombining plasma can be successfully reproduced in the
case of a young SNR (a few 100 to 1,000 years old) expanding fast in a
spatially extended low-density wind, an old SNR (> a few 1,000 years) expanding
in a dense ISM, or an old SNR broken out from a confined dense wind region into
a tenuous ISM. Finally, our models are confronted with observations of evolved
SNRs, and an overall good agreement is found except for a couple of outliers.
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