A unique set of observations, obtained with ESO’s VLT, has allowed astronomers to find direct evidence for the material that surrounded a star before it exploded as a Type Ia supernova.
This strongly supports the scenario in which the explosion occurred in a system where a white dwarf is fed by a red giant.
Because Type Ia supernovae are extremely luminous and quite similar to one another, these exploding events have been used extensively as cosmological reference beacons to trace the expansion of the Universe.
However, despite significant recent progress, the nature of the stars that explode and the physics that governs these powerful explosions have remained very poorly understood.
In the most widely accepted models of Type Ia supernovae the pre-explosion white dwarf star orbits another star. Due to the close interaction and the strong attraction produced by the very compact object, the companion star continuously loses mass, ‘feeding’ the white dwarf. When the mass of the white dwarf exceeds a critical value, it explodes.
The team of astronomers studied in great detail SN 2006X, a Type Ia supernova that exploded 70 million light-years away from us, in the splendid spiral Galaxy Messier 100 (see ESO 08/06). Their observations led them to discover the signatures of matter lost by the normal star, some of which is transferred to the white dwarf.
The observations were made with the Ultraviolet and Visual Echelle Spectrograph (UVES), mounted at ESO’s 8.2-m Very Large Telescope, on four different occasions, over a time span of four months. A fifth observation at a different time was secured with the Keck telescope in Hawaii. The astronomers also made use of radio data obtained with NRAO’s Very Large Array as well as images extracted from the NASA/ESA Hubble Space Telescope archive.
"No Type Ia supernova has ever been observed at this level of detail for more than four months after the explosion," says Ferdinando Patat, lead author of the paper reporting the results in this week’s issue of Science Express, the online version of the Science research journal. "Our data set is really unique."
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