Beijing Institute of Mathematical Sciences and Applications Beijing Institute of Mathematical Sciences and Applications

  • About
    • President
    • Governance
    • Partner Institutions
    • Visit
  • People
    • Management
    • Faculty
    • Postdocs
    • Visiting Scholars
    • Administration
    • Academic Support
  • Research
    • Research Groups
    • Courses
    • Seminars
  • Join Us
    • Faculty
    • Postdocs
    • Students
  • Events
    • Conferences
    • Workshops
    • Forum
  • Life @ BIMSA
    • Accommodation
    • Transportation
    • Facilities
    • Tour
  • News
    • News
    • Announcement
    • Downloads
About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Administration
Academic Support
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > BIMSA General Relativity Seminar LISA and the scientific analysis of extreme-mass-ratio inspirals
LISA and the scientific analysis of extreme-mass-ratio inspirals
Organizers
Lars Andersson , Alejandro Torres-Orjuela , Xiaoran Zhang
Speaker
Alvin J. K. Chua
Time
Friday, April 18, 2025 4:00 PM - 5:00 PM
Venue
A3-2-301
Online
Zoom 787 662 9899 (BIMSA)
Abstract
In the next decade, space interferometers such as the LISA mission will probe the mid-frequency band of the gravitational-wave sky, where the richest population of sources radiate. Extreme-mass-ratio inspirals (EMRIs) are the only LISA sources that combine the issue of strongly relativistic dynamics with that of long-lived signals. Discerning the presence and properties of putative EMRI signals in LISA data thus presents a profoundly difficult problem that epitomises the various distinctive challenges of LISA data analysis. I review the evolving roadmap towards a successful EMRI observation, and discuss possible paths through the roadblocks ahead.
Speaker Intro
Alvin Chua is an assistant professor at the National University of Singapore. He has previously held postdoctoral appointments at Caltech and the NASA Jet Propulsion Laboratory, and obtained his PhD from Cambridge in 2017. His current research interests are in gravitational-wave astrophysics and data analysis; data science and machine learning; as well as applied and computational statistics.
Beijing Institute of Mathematical Sciences and Applications
CONTACT

No. 544, Hefangkou Village Huaibei Town, Huairou District Beijing 101408

北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

Tel. 010-60661855 Tel. 010-60661855
Email. administration@bimsa.cn

Copyright © Beijing Institute of Mathematical Sciences and Applications

京ICP备2022029550号-1

京公网安备11011602001060 京公网安备11011602001060