报告地点：教学行政楼1004会议室，腾讯会议(会议ID：411 4788 6096）
报告时间：2020-09-18 从 15:00 到 16:30
报告人：李泽峰
报告人简介：
李泽峰，1988年12月出生，2012年中国科学技术大学本科毕业，2017年美国佐治亚理工学院获得博士学位， 2017-2020年在美国加州理工学院地震学实验室从事博士后研究，2020年9月开始在中国科学技术大学任特任研究员。研究兴趣包括机器学习的地震学应用，分布式光纤传感技术，微震检测，地震早期预警，断层结构，地壳各向异性等。至今在GRL, EPSL，和 JGR等国际SCI期刊发表论文16篇，其中第一作者10篇。从2019年开始任美国地震学会学术期刊SRL副主编，曾担任该期刊机器学习地震学专辑的客座主编。任Nature Communication, GRL, JGR-Solid Earth, SRL, BSSA, Geophysics等十余个期刊审稿人，主持过AGU和SSA等多个国际会议相关分会和研习班。
报告题目：A generic spectrum of global earthquake rupture characteristics extracted by variational autoencoder
报告内容简介
Abstract: Accumulated observations of global earthquakes in the past decades have shown a great amount of variability of rupture behaviors; the extent that earthquakes share common rupture characteristics remains unclear. By applying a variational autoencoder to global source time function (STF) databases, we extract a generic spectrum of earthquake STF shapes along with their population density. The spectrum reveals the popularity of events with weak rupture onset and rapid termination, which contests a long-lingering perception that isosceles triangular and long-tailed shapes represent standard rupture models. The spectrum also highlights a special class of complex earthquakes that are located at shallow depth (<40 km) but pervasive in different faulting environments, implying apparent depth control on fault properties. Finally, we show that deviation from the spectrum serves as a convenient detector for earthquakes with unusual characteristics. Our results present a panoramic view of temporal rupture characteristics for global earthquakes and establish a quantitative framework to evaluate the uniqueness of individual events in the context of historical observations.