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Title:
Evidence for elemental variation in the ejecta of the TYCHO supernova remnant
Authors:
Vancura, O.; Gorenstein, P.; Hughes, John P.
Affiliation:
AA(Harvard-Smithsonian Center for Astyrophysics, Cambridge, MA, US), AB(Harvard-Smithsonian Center for Astyrophysics, Cambridge, MA, US), AC(Harvard-Smithsonian Center for Astyrophysics, Cambridge, MA, US)
Publication:
Astrophysical Journal, Part 1 (ISSN 0004-637X), vol. 441, no. 2, p. 680-688 (ApJ Homepage)
Publication Date:
03/1995
Category:
Astrophysics
Origin:
STI
NASA/STI Keywords:
ABUNDANCE, SUPERNOVA REMNANTS, VARIATIONS, X RAY ASTRONOMY, X RAY IMAGERY, X RAY SPECTRA, ASTRONOMICAL MODELS, IMAGE ANALYSIS, IONIZATION, IRON, SILICON, SPECTRUM ANALYSIS, SULFUR
DOI:
10.1086/175391
Bibliographic Code:
1995ApJ...441..680V

Abstract

We present an X-ray study of the Tycho supernova remnant utilizing archival data from the high-resolution imagers (HRIs) on Einstein and ROSAT, the low-energy imaging telescopes (LEITs) on EXOSAT, and spectral data from the Broad Band X-ray Telescope (BBXRT). We have made use of the differing HRI bandpasses to construct images of Tycho in two spectral bands, o.7-1.8 keV and 1.8-4.5 keV. We find that the two images differ, with the harder image showing enhanced emission along much of the south, west, and north periphery. There appears to be enhanced soft emission in the interior and in one particular knot of emission in the southeast. Besides continuum (which we model here as thermal bremsstrahlung emission), we believe the hard image shows primarily the distribution of high-ionization Si and S K-shell lines which lie in the 1.8-2.6 keV band, while the softer image has contributions from Si as well as Fe XVII to Fe XXIV L-shell lines in the 0.7-1.4 keV band. Guided by the results of nonequilibrium ionization modeling of the BBXRT spectral data, we interpret the observed contrast in hard and soft X-ray emission in terms of variations in abundance, ionization timescale, and temperature. The most likely explanation for the spectral differences are spatial variations of the relative abundances of Si, S, and Fe.

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