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Related papers: Modeling the mixed-morphology supernova remnant IC…

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Shell-type supernova remnants (SNRs) accelerate particles at the shock front between the expanding remnant and the swept-up interstellar medium. If these particles include protons and nuclei, very-high-energy gamma-ray emission may result…

Astrophysics · Physics 2007-09-28 VERITAS Collaboration , T. B. Humensky

The supernova remnant (SNR) W51C is a Galactic object located in a strongly inhomogeneous interstellar medium with signs of an interaction of the SNR blast wave with dense molecular gas. Diffuse X-ray emission from the interior of the SNR…

High Energy Astrophysical Phenomena · Physics 2014-03-05 Manami Sasaki , Cornelia Heinitz , Gabriele Warth , Gerd Puehlhofer

We have investigated the molecular environment of the semicircular composite supernova remnant (SNR) 3C396 and performed a Chandra spatially resolved thermal X-ray spectroscopic study of this young SNR. With our CO millimeter observations,…

Astrophysics of Galaxies · Physics 2015-05-20 Yang Su , Yang Chen , Ji Yang , Bon-Chul Koo , Xin Zhou , Deng-Rong Lu , Il-Gyo Jeong , Tracey DeLaney

We investigate two multi-shell galactic supernova remnants (SNRs), Kes79 and G352.7-0.1, to understand the causes of such morphology. The research was carried out based on new and reprocessed archival VLA observations and XMM-Newton…

Astrophysics of Galaxies · Physics 2015-05-13 E. Giacani , M. J. S. Smith , G. Dubner , N. Loiseau , G. Castelletti , S. Paron

We present near-infrared J (1.25um), H (1.65um), and Ks (2.17um) imaging of the entire supernova remnant IC 443 from the Two Micron All Sky Survey (2MASS), and Infrared Space Observatory (ISO) LWS observations of [O I]. Near-infrared…

Astrophysics · Physics 2007-05-23 Jeonghee Rho , T. H. Jarrett , R. M. Cutri , W. T. Reach

We present the results of X-ray spatial and spectral studies of the ``mixed-morphology'' supernova remnant IC 443 using ASCA. IC 443 has a center-filled image in X-ray band, contrasting with the shell-like appearance in radio and optical…

Aims: We present a detailed X-ray study of the recently discovered supernova remnant (SNR) G53.41+0.03 that follows up and further expands on the previous, limited analysis of archival data covering a small portion of the SNR. Methods: With…

High Energy Astrophysical Phenomena · Physics 2022-03-14 V. Domček , J. Vink , P. Zhou , L. Sun , L. Driessen

Molecular clouds are known to be clumpy, with dense molecular clumps occupying only a few percent of the volume. A supernova remnant then evolves primarily in the interclump medium, and becomes radiative at a radius of about 6 pc, forming a…

Astrophysics · Physics 2009-10-30 Roger A. Chevalier

Most supernova remnants (SNRs) are old, in the sense that their structure has been profoundly modified by their interaction with the surrounding interstellar medium (ISM). Old SNRs are very heterogenous in terms of their appearance,…

Context: The Supernova Remnants (SNRs) known in the Large Magellanic Cloud (LMC) show a variety of morphological structures in the different wavelength bands. This variety is the product of the conditions in the surrounding medium with…

The Large Magellanic Cloud (LMC) hosts a rich and varied population of supernova remnants (SNRs). Optical, X-ray, and radio observations are required to identify these SNRs, as well as to ascertain the various processes responsible for the…

We report XMM-Newton observations of the Galactic supernova remnant G296.8-0.3, together with complementary radio and infrared data. The spatial and spectral properties of the X-ray emission, detected towards G296.8-0.3, was investigated in…

High Energy Astrophysical Phenomena · Physics 2015-05-30 E. Sánchez-Ayaso , J. A. Combi , J. F. Albacete Colombo , J. López-Santiago , J. Martí , A. J. Muñoz-Arjonilla

We present and interpret new X-ray data for M33SNR21, the brightest X-ray supernova remnant (SNR) in M33. The SNR is in seen projection against (and appears to be interacting with) the bright HII region NGC592. Data for this source were…

The geometric structure of supernova remnants (SNR) provides a clue to unveiling the pre-explosion evolution of their progenitors. Here we present an X-ray study of N103B (0509-68.7), a Type Ia SNR in the Large Magellanic Cloud, that is…

High Energy Astrophysical Phenomena · Physics 2021-04-14 Hiroya Yamaguchi , Fabio Acero , Chuan-Jui Li , You-Hua Chu

One of the key methods for determining the unknown nature of Type Ia supernovae (SNe Ia) is the search for traces of interaction between the SN ejecta and the circumstellar structures at the resulting supernova remnants (SNRs Ia). So far,…

Solar and Stellar Astrophysics · Physics 2020-05-01 A. Chiotellis , P. Boumis , Z. T. Spetsieri

Using detailed 3D hydrodynamic simulations we study the nature of the Galactic supernova remnant (SNR) CTB 109 (G109.1-1.0), which is well-known for its semicircular shape and a bright diffuse X-ray emission feature inside the SNR. Our…

High Energy Astrophysical Phenomena · Physics 2015-10-07 Jan Bolte , Manami Sasaki , Dieter Breitschwerdt

The DEML316 system contains two shells, both with the characteristic signatures of supernova remnants (SNRs). We analyze Chandra and XMM-Newton data for DEML316, investigating its spatial and spectral X-ray features. Our Chandra…

Astrophysics · Physics 2009-11-13 R. M. Williams , Y. -H. Chu

The structure and morphology of supernova remnants (SNRs) reflect the properties of the parent supernovae (SNe) and the characteristics of the inhomogeneous environments through which the remnants expand. Linking the morphology of SNRs to…

High Energy Astrophysical Phenomena · Physics 2020-12-29 S. Orlando , A. Wongwathanarat , H. -T. Janka , M. Miceli , M. Ono , S. Nagataki , F. Bocchino , G. Peres

The young shell-type supernova remnant RCW 103 has peculiar properties in the X-ray morphology obtained with Chandra. The southeastern shell is more brighter in the X-rays, and the curved border of the shell in this region is more flatten…

High Energy Astrophysical Phenomena · Physics 2021-03-31 Chun-Yan Lu , Jing-Wen Yan , Lu Wen , Jun Fang