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Vastly different time and length scales are a common problem in numerical simulations of astrophysical phenomena. Here, we present an approach to numerical modeling of such objects on the example of Type Ia supernova simulations. The…

Astrophysics · Physics 2008-02-06 F. K. Roepke

With the proliferation of devices that display augmented reality (AR), now is the time for scholars and practitioners to evaluate and engage critically with emerging applications of the medium. AR mediates the way users see their bodies,…

Human-Computer Interaction · Computer Science 2023-03-27 Rob Eagle

MeV nuclear de-excitation lines serve as a unique tool to study low-energy cosmic rays (CRs), containing both spectral and elemental information of the interacting material. In this paper, we estimated the possible nuclear de-excitation…

High Energy Astrophysical Phenomena · Physics 2023-08-04 Bing Liu , Rui-zhi Yang , Xin-yu He , Felix Aharonian

We study optical radiation of aspherical supernovae (SNe) and present an approach to verify the asphericity of SNe with optical observations of extragalactic SNe. For this purpose, we have developed a multi-dimensional Monte-Carlo radiative…

Astrophysics · Physics 2010-12-13 Masaomi Tanaka , Keiichi Maeda , Paolo A. Mazzali , Ken'ichi Nomoto

We present a survey of the X-ray emitting ejecta in the Cassiopeia A supernova remnant based on an extensive analysis of over 6000 spectral regions extracted on 2.5-10" angular scales using the Chandra 1 Ms observation. We interpret these…

High Energy Astrophysical Phenomena · Physics 2015-06-03 Una Hwang , J. Martin Laming

Core-collapse supernovae, the culmination of massive stellar evolution, are spectacular astronomical events and the principle actors in the story of our elemental origins. Our understanding of these events, while still incomplete, centers…

High Energy Astrophysical Phenomena · Physics 2016-03-30 W. R. Hix , E. J. Lentz , S. W. Bruenn , A. Mezzacappa , O. E. B. Messer , E. Endeve , J. M. Blondin , J. A. Harris , P. Marronett , K. N. Yakunin

The image of planetary nebulae (PN), supernova remnant (SNR) and Eta-Carinae is made by three different physical processes. The first process is the expansion of the shell that can be modeled by the canonical laws of motion in the spherical…

Astrophysics of Galaxies · Physics 2012-09-18 L. Zaninetti

Supernovae shape the interstellar medium, chemically enrich their host galaxies, and generate powerful interstellar shocks that drive future generations of star formation. The shock produced by a supernova event acts as a type of time…

High Energy Astrophysical Phenomena · Physics 2018-04-25 Daniel Patnaude , Carles Badenes

It is shown that the nonlinear kinetic theory of cosmic ray (CR) acceleration in supernova remnants (SNRs) describes the shell-type nonthermal X-ray morphology of Cas A, obtained in Chandra observations, in a satisfactory way. The set of…

Astrophysics · Physics 2009-11-10 E. G. Berezhko , H. J. Voelk

We use observational data on the magnitude-redshift relation for Type Ia supernovae together with constraints on the ages of the oldest stars to rule out a higher-dimensional extension of General Relativity with a negative kinetic-energy…

General Relativity and Quantum Cosmology · Physics 2016-05-25 James Overduin , Nathan Prins , Joohan Lee

In this research note, we present 3DMAP-VR,(3-Dimensional Modeling of Astrophysical Phenomena in Virtual Reality), a project aimed at visualizing 3D MHD models of astrophysical simulations, using virtual reality sets of equipment. The…

Instrumentation and Methods for Astrophysics · Physics 2019-12-06 Salvatore Orlando , Ignazio Pillitteri , Fabrizio Bocchino , Laura Daricello , Laura Leonardi

Very recently the Chandra First Light Observation discovered a point-like source in Cassiopeia A (Cas A) supernova remnant. This detection was subsequently confirmed by the analyses of the archival data from both ROSAT and Einstein…

Astrophysics · Physics 2009-10-31 H. Umeda , K. Nomoto , S. Tsuruta , S. Mineshige

The complexity of the data generated by (magneto)-hydrodynamic (HD/MHD) simulations requires advanced tools for their analysis and visualization. The dramatic improvements in virtual reality (VR) technologies have inspired us to seek the…

Human-Computer Interaction · Computer Science 2023-08-09 S. Orlando , M. Miceli , U. Lo Cicero , S. Ustamujic

We propose a new approach for studying the neutron star/supernova remnant associations, based on the idea that the supernova remnants (SNRs) can be products of an off-centered supernova (SN) explosion in a preexisting bubble created by the…

Astrophysics · Physics 2007-05-23 V. V. Gvaramadze

Here we present three-dimensional high resolution simulations of Type Ia supernova in the presence of a non-degenerate companion. We find that the presence of a nearby companion leaves a long-lived hole in the supernova ejecta. In…

High Energy Astrophysical Phenomena · Physics 2016-12-14 William J Gray , Cody Raskin , J. Michael Owen

Augmented Reality (AR) enriches a user's real environment by adding spatially aligned virtual objects (3D models, 2D textures, textual annotations, etc) by means of special display technologies. These are either worn on the body or placed…

Human-Computer Interaction · Computer Science 2021-03-05 Holger Regenbrecht , Thomas Schubert

We present Chandra ACIS X-ray observations of the Galactic supernova remnant Cassiopeia A taken in December 2007. Combining these data with previous archival Chandra observations taken in 2000, 2002, and 2004, we estimate the remnant's…

Astrophysics · Physics 2011-02-11 Daniel J. Patnaude , Robert A. Fesen

The ability to understand and engineer molecular structures relies on having accurate descriptions of the energy as a function of atomic coordinates. Here we outline a new paradigm for deriving energy functions of hyperdimensional molecular…

Much attention has recently been devoted to data-based computing of evolution of physical systems. In such approaches, information about data points from past trajectories in phase space is used to reconstruct the equations of motion and to…

Machine Learning · Computer Science 2026-03-24 Christopher Eldred , François Gay-Balmaz , Vakhtang Putkaradze