中文
相关论文

相关论文: Unveiling the Physics of Core-Collapse Supernovae …

200 篇论文

We explore the morphology of Type Ia supernova remnants (SNRs) using three-dimensional hydrodynamics modeling and an exponential density profile. Our model distinguishes ejecta from the interstellar medium (ISM), and tracks the ionization…

星系天体物理 · 物理学 2015-06-11 D. C. Warren , J. M. Blondin

The nonlinear kinetic model of cosmic ray (CR) acceleration in supernova remnants (SNRs) is used to describe the relevant properties of Cassiopeia A (Cas A). In order to reproduce the SNR's observed size, expansion rate and thermal X-ray…

天体物理学 · 物理学 2011-05-23 E. G. Berezhko , G. Puehlhofer , H. J. Voelk

LBVs are massive evolved stars that suffer sporadic and violent mass-loss events. They have been proposed as the progenitors of some core-collapse SNe, but this idea is still debated due to the lack of direct evidence. Since SNRs can carry…

太阳与恒星天体物理 · 物理学 2021-10-27 S. Ustamujic , S. Orlando , M. Miceli , F. Bocchino , M. Limongi , A. Chieffi , C. Trigilio , G. Umana , F. Bufano , A. Ingallinera , G. Peres

During the first few hundred days after the explosion, core-collapse supernovae (SNe) emit down-scattered X-rays and gamma-rays originating from radioactive line emissions, primarily from the $^{56}$Ni $\rightarrow$ $^{56}$Co $\rightarrow$…

Thermonuclear and core-collapse supernova remnants (SNRs) are the nebular leftovers of defunct stars. Their morphology and emission properties provide insights into the evolutionary history of the progenitor star. But while some SNRs are…

Supernova remnants (SNRs) provide crucial information of yet poorly understood mechanism of supernova explosion. Here we present XRISM high-resolution spectroscopy of the intermediate-mass-element (IME) ejecta in the SNR Cas A to determine…

We identify a point-symmetric morphology of the supernova remnant (SNR) Cassiopeia A compatible with shaping by at least two, and more likely more than four, pairs of opposite jets, as expected in the jittering jets explosion mechanism…

高能天体物理现象 · 物理学 2024-09-05 Ealeal Bear , Noam Soker

A goal of supernova remnant (SNR) evolution models is to relate fundamental parameters of a supernova (SN) explosion and progenitor star to the current state of its SNR. The SNR hot plasma is characterized by its observed X-ray spectrum,…

星系天体物理 · 物理学 2019-10-02 D. A. Leahy , Yuyang Wang , Bryson Lawton , Sujith Ranasinghe , Miroslav Filipovic

Core collapse supernovae (SN) are the final stages of stellar evolution in massive stars during which the central region collapses, forms a neutron star (NS), and the outer layers are ejected. Recent explosion scenarios assumed that the…

天体物理学 · 物理学 2007-05-23 P. Hoeflich , A. Khokhlov , L. Wang

Fostered by the possibilities of multi-dimensional computational modeling, in particular the advent of three-dimensional (3D) simulations, our understanding of the neutrino-driven explosion mechanism of core-collapse supernovae (SNe) has…

高能天体物理现象 · 物理学 2017-10-25 H. -Thomas Janka , Michael Gabler , Annop Wongwathanarat

Cassiopeia A (Cas A) is the youngest known core-collapse supernova remnant (SNR) in the Galaxy and is perhaps the best-studied SNR in X-rays. Cas A has a line-rich spectrum dominated by thermal emission and given its high flux, it is an…

We develop a multipole analysis method for images with a circular boundary, then apply it to supernova remnant (SNR) images. The morphology of SNR images is related to several factors, including the inhomogeneities of the supernova ejecta…

高能天体物理现象 · 物理学 2025-05-21 Denis A. Leahy , S. Ranasinghe , J. Hansen , M. D. Filipović , Z. Smeaton

Core-collapse supernovae (SNe) expand into a medium created by winds from the pre-SN progenitor. The SN explosion and resulting shock wave(s) heat up the surrounding plasma, giving rise to thermal X-ray emission, which depends on the…

高能天体物理现象 · 物理学 2020-10-07 Vandana Ramakrishnan , Vikram V. Dwarkadas

Self-consistent, multidimensional core-collapse supernova (SN) simulations, especially in 3D, have achieved tremendous progress over the past 10 years. They are now able to follow the entire evolution from core collapse through bounce,…

高能天体物理现象 · 物理学 2026-02-13 H. -Thomas Janka

Supernova remnants (SNRs) are believed to be the major contributors to Galactic cosmic rays. The detection of non-thermal emission from SNRs demonstrates the presence of energetic particles, but direct signatures of protons and other ions…

高能天体物理现象 · 物理学 2015-06-11 Gilles Ferrand , Anne Decourchelle , Samar Safi-Harb

Supernova remnants (SNRs) are known to accelerate particles to relativistic energies, on account of their nonthermal emission. The observational progress from radio to gamma-ray observations reveals more and more morphological features that…

高能天体物理现象 · 物理学 2021-11-03 Robert Brose , Martin Pohl , Iurii Sushch

We present modelling of line polarization to study multi-dimensional geometry of stripped-envelope core-collapse supernovae (SNe). We demonstrate that a purely axisymmetric, two-dimensional geometry cannot reproduce a loop in the Stokes Q-U…

高能天体物理现象 · 物理学 2017-03-15 Masaomi Tanaka , Keiichi Maeda , Paolo A. Mazzali , Koji S. Kawabata , Ken'ichi Nomoto

Evidence has mounted that Type Ia and core-collapse (CC) supernovae (SNe) can have substantial deviations from spherical symmetry; one such piece of evidence is the complex morphologies of supernova remnants (SNRs). However, the relative…

高能天体物理现象 · 物理学 2015-06-16 Laura A. Lopez

Supernova remnants (SNRs) are a complex class of sources, and their heterogeneous nature has hindered the characterization of their general observational properties. To overcome this challenge, we use statistical tools to analyze the…

高能天体物理现象 · 物理学 2015-05-20 Laura A. Lopez , Enrico Ramirez-Ruiz , Daniela Huppenkothen , Carles Badenes , David Pooley

Recently, the GeV--sub-PeV spectrum of supernova remnant (SNR) Cassiopeia A (Cas A), one of the youngest and most well-studied SNRs in our Galaxy, has been updated by observations of Fermi-LAT and LHAASO. We revisit Cas A with our previous…

高能天体物理现象 · 物理学 2026-03-30 Bo-Tao Li , Wei Wang , Zhuo Li