报告题目:Electromagnetic Counterparts to Gravitational Wave Detections: Bridging the Gap between Theory and Observation
报告人： Zach Etienne, Assistant Professor
报告时间：14:00
报告地点：理A110
题目: Electromagnetic Counterparts to Gravitational Wave Detections: Bridging the Gap between Theory and Observation
报告人: Zach Etienne, Assistant Professor of West Virginia University
时间: 5月19日14:00
地点: 理A110
摘要: LIGO has proven that gravitational waves (GWs) from black hole binary mergers are detectable, and we expect within years it will detect GWs from double neutron star and black hole--neutron star mergers as well. In the extreme violence of merger, intense tidal forces can become sufficient to rip the neutron star(s) apart, which can lead to significant electromagnetic (EM) emission. If detected, a coincident EM and GW observation could for the first time reveal the anatomy of a gamma-ray burst or kilonova and provide the deepest probe yet into the behavior and composition of degenerate nuclear matter. However, the scientific understanding gained from these observations will be limited by the accuracy of our theoretical modeling, which must fully account for the effects of general relativity. To this end, I will review the physics behind current numerical relativity (NR) simulations of these extreme merger events and preview the next generation of NR simulations, which will be capable of predicting not only gravitational wave timeseries with unprecedented accuracy, but also electromagnetic spectra.
报告人简介：Zach Etienne is Assistant Professor of Mathematics at West Virginia University (WVU). He obtained his PhD in Physics in 2009 from the University of Illinois at Urbana Champaign (UIUC) under the supervision of Stuart L. Shapiro. He went on to obtain distinguished postdoctoral fellowships at the UIUC Numerical Relativity Group, NASA and University of Maryland. He is a senior member of the LIGO Scientific Collaboration, principal author of several open-source numerical relativity codes, and a recent recipient of the WVU Presidential Award for Excellence in Collaborative Research.