Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Shan-Qin Wang is active.

Publication


Featured researches published by Shan-Qin Wang.


Advances in Astronomy | 2017

The Observer’s Guide to the Gamma-Ray Burst Supernova Connection

Z. Cano; Shan-Qin Wang; Zi-Gao Dai; Xue-Feng Wu

We present a detailed report of the connection between long-duration gamma-ray bursts (GRBs) and their accompanying supernovae (SNe). The discussion presented here places emphasis on how observations, and the modelling of observations, have constrained what we know about GRB-SNe. We discuss their photometric and spectroscopic properties, their role as cosmological probes, including their measured luminosity–decline relationships, and how they can be used to measure the Hubble constant. We present a statistical summary of their bolometric properties and use this to determine the properties of the “average” GRB-SN. We discuss their geometry and consider the various physical processes that are thought to power the luminosity of GRB-SNe and whether differences exist between GRB-SNe and the SNe associated with ultra-long-duration GRBs. We discuss how observations of their environments further constrain the physical properties of their progenitor stars and give a brief overview of the current theoretical paradigms of their central engines. We then present an overview of the radioactively powered transients that have been photometrically associated with short-duration GRBs, and we conclude by discussing what additional research is needed to further our understanding of GRB-SNe, in particular the role of binary-formation channels and the connection of GRB-SNe with superluminous SNe.


The Astrophysical Journal | 2015

Superluminous Supernovae Powered by Magnetars: Late-time Light Curves and Hard Emission Leakage

Shan-Qin Wang; Ling-Jun Wang; Z. G. Dai; Xue-Feng Wu

Recently, researches performed by two groups have revealed that the magnetar spin-down energy injection model with full energy trapping can explain the early-time light curves of SN 2010gx, SN 2013dg, LSQ12dlf, SSS120810 and CSS121015, but fails to fit the late-time light curves of these Superluminous Supernovae (SLSNe). These results imply that the original magnetar-powered model is challenged in explaining these SLSNe. Our paper aims to simultaneously explain both the early- and late-time data/upper limits by considering the leakage of hard emissions. We incorporate quantitatively the leakage effect into the original magnetar-powered model and derive a new semi-analytical equation. Comparing the light curves reproduced by our revised magnetar-powered model to the observed data and/or upper limits of these five SLSNe, we found that the late-time light curves reproduced by our semi-analytical equation are in good agreement with the late-time observed data and/or upper limits of SN 2010gx, CSS121015, SN 2013dg and LSQ12dlf and the late-time excess of SSS120810, indicating that the magnetar-powered model might be responsible for these SLSNe and that the gamma ray and X-ray leakage are unavoidable when the hard photons were down-Comptonized to softer photons. To determine the details of the leakage effect and unveil the nature of SLSNe, more high quality bolometric light curves and spectra of SLSNe are required.


The Astrophysical Journal | 2015

A Unified Energy-Reservoir Model Containing Contributions from 56 Ni and Neutron Stars and Its Implication to Luminous Type Ic Supernovae

Shan-Qin Wang; Ling-Jun Wang; Z. G. Dai; Xudong Wu

Most type-Ic core-collapse supernovae (CCSNe) produce


The Astrophysical Journal | 2016

Optical Transients Powered by Magnetars: Dynamics, Light Curves, and Transition to the Nebular Phase

Ling-Jun Wang; Shan-Qin Wang; Z. G. Dai; Dong Xu; Yan-Hui Han; Xue-Feng Wu; Jian-Yan Wei

^{56}


The Astrophysical Journal | 2017

A Monte Carlo Approach to Magnetar-powered Transients: I. Hydrogen-deficient Superluminous Supernovae

Liang-Duan Liu; Shan-Qin Wang; Ling-Jun Wang; Zi-Gao Dai; Hai Yu; Zong-Kai Peng

Ni and neutron stars (NSs) or black holes (BHs). The dipole radiation of nascent NSs has usually been neglected in explaining supernovae (SNe) with peak absolute magnitude


The Astrophysical Journal | 2017

Evidence for Magnetar Formation in Broad-lined Type Ic Supernovae1998bw and 2002ap

Ling-Jun Wang; Haiping Yu; Liang-Duan Liu; Shan-Qin Wang; Yunkun Han; D. Xu; Z. G. Dai; Y. L. Qiu; Jun-Jie Wei

M_{rm peak}


The Astrophysical Journal | 2016

SOLVING THE 56Ni PUZZLE OF MAGNETAR-POWERED BROAD-LINED TYPE IC SUPERNOVAE

Ling-Jun Wang; Yan-Hui Han; Dong Xu; Shan-Qin Wang; Zi-Gao Dai; Xue-Feng Wu; Jian-Yan Wei

in any band are


The Astrophysical Journal | 2017

A Monte Carlo approach to magnetar-powered transients: II. Broad-lined type Ic supernovae not associated with GRBs

Ling-Jun Wang; Z. Cano; Shan-Qin Wang; W. Zheng; Liang-Duan Liu; J. S. Deng; Hai Yu; Zi-Gao Dai; Yan-Hui Han; Dong Xu; Y.-L. Qiu; Jian-Yan Wei; Bing Li; L. M. Song

gtrsim -19.5


The Astrophysical Journal | 2018

A Multiple Ejecta-circumstellar Medium Interaction Model and Its Implications for Superluminous Supernovae iPTF15esb and iPTF13dcc

Liang-Duan Liu; Ling-Jun Wang; Shan-Qin Wang; Zi-Gao Dai

~mag, while the


The Astrophysical Journal | 2017

Modeling The Most Luminous Supernova Associated with a Gamma-Ray Burst, SN 2011kl

Shan-Qin Wang; Z. Cano; Ling-Jun Wang; W. Zheng; Zi-Gao Dai; Alexei V. Filippenko; Liang-Duan Liu

^{56}

Collaboration


Dive into the Shan-Qin Wang's collaboration.

Top Co-Authors

Avatar

Ling-Jun Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Xue-Feng Wu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Z. Cano

Spanish National Research Council

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jian-Yan Wei

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yan-Hui Han

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Dong Xu

Weizmann Institute of Science

View shared research outputs
Researchain Logo
Decentralizing Knowledge