Finding EMRI Signals in Simulated LISA Data
- Document #:
- LIGO-G2301217-v1
- Document type:
- G - Presentations (eg Graphics)
Other Versions:
- Abstract:
- The millihertz band of the gravitational wave (GW) spectrum is expected to be populated by a host of undetected GW source types, including extreme mass-ratio inspirals (EMRIs). EMRIs are a type of inspiraling binary system, where a stellar mass compact object orbits a supermassive black hole. In preparation for the upcoming Laser Interferometer Space Antenna (LISA) mission, this project seeks to use a Markov Chain Monte Carlo algorithm to develop reliable methods for identifying EMRI signals and characterizing their source parameters. The LISA Data Challenges have been created to address a series of open questions on how to characterize gravitational wave (GW) signals from LISA including the EMRI-specific challenge, Radler 1-2. Solving these challenges is essential to demonstrating effective analysis methods for the mission, set to launch in the mid-2030s. This search presents progress towards a working EMRI detection algorithm that can be integrated into the full LISA global fit.
- Files in Document:
-
- Muller_August_EMRIs_GWANW.pdf (1.8 MB)
- Topics:
- Authors:
- Keywords:
- LISA
- Notes and Changes:
- Student presenter August Muller.
- Associated with Events:
- GWANW 2023 held from 26 Jun 2023 to 28 Jun 2023 in LIGO Hanford Observatory