Type Ia supernovae from violent mergers of carbon-oxygen white dwarfs: polarization signatures

M. Bulla, S. A. Sim, R. Pakmor, M. Kromer, S. Taubenberger, F. K. Röpke, W. Hillebrandt, I. R. Seitenzahl

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The violent merger of two carbon-oxygen white dwarfs has been proposed as a viable progenitor for some Type Ia supernovae. However, it has been argued that the strong ejecta asymmetries produced by this model might be inconsistent with the low degree of polarization typically observed in Type Ia supernova explosions. Here, we test this claim by carrying out a spectropolarimetric analysis for the model proposed by Pakmor et al. for an explosion triggered during the merger of a 1.1 and 0.9 M⊙ carbon-oxygen white dwarf binary system. Owing to the asymmetries of the ejecta, the polarization signal varies significantly with viewing angle. We find that polarization levels for observers in the equatorial plane are modest (≲1 per cent) and show clear evidence for a dominant axis, as a consequence of the ejecta symmetry about the orbital plane. In contrast, orientations out of the plane are associated with higher degrees of polarization and departures from a dominant axis. While the particular model studied here gives a good match to highly polarized events such as SN 2004dt, it has difficulties in reproducing the low polarization levels commonly observed in normal Type Ia supernovae. Specifically, we find that significant asymmetries in the element distribution result in a wealth of strong polarization features that are not observed in the majority of currently available spectropolarimetric data of Type Ia supernovae. Future studies will map out the parameter space of the merger scenario to investigate if alternative models can provide better agreement with observations.
Original languageEnglish
Pages (from-to)1060-1070
JournalMonthly Notices of the Royal Astronomical Society
Issue number1
Early online date09 Nov 2015
Publication statusPublished - 01 Jan 2016


  • hydrodynamics
  • polarization
  • radiative transfer
  • methods: numerical
  • supernovae: general


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