LISA’s Sensitivity and Detectability of Higher-Order Modes, Precession in Massive and Intermediate Black Hole Binaries, and Extreme-Mass-Ratio Inspirals

POSTER

Abstract

With the promise of increased detection rates and a milli-Hertz sensitivity band, the upcoming space-based gravitational-wave detector LISA is expected to open new frontiers in multi-band gravitational-wave astronomy. This work aims to assess LISA's sensitivity to higher-order modes (HOMs) and the influence of intrinsic parameters such as spin and mass ratio on its detection capability. We investigate the detectability of precession effects in Massive Black Hole Binaries (MBBHs), Intermediate-Mass Black Hole Binaries (IMBHs), and Extreme-Mass-Ratio Inspirals (EMRIs), focusing on the (2,2), (3,2), and (4,2) higher-order modes. The analysis employs Python-based toolkits developed for direct access to and utilization of LISA's sensitivity curve, as well as a visualization framework to examine dominant and subdominant modes across aligned, misaligned, and high-spin configurations. These tools enable efficient evaluation of waveform structures and detectability, supporting future advancements in LISA's data analysis pipelines. Our study underscores the importance of incorporating higher-order modes and spin-precession effects in waveform templates to fully exploit LISA's potential for probing the astrophysics and fundamental physics of black hole binary systems.

*This work was supported by the International Centre for Theoretical Sciences (ICTS), Tata Institute of Fundamental Research (TIFR), India, under the Long-Term Visiting Students Program (LTVSP). I would like to express my sincere gratitude to Prof. Prayush Kumar, Prof. Ajith Parameswaran, and Dr. Vaishak Prasad for their invaluable guidance and continuous support throughout this project. I am also thankful for the computational resources provided by the ICTS High-Performance Computing (HPC) cluster SONIC, which made this research possible.

Presenters

  • Bhuvaneshwari Kashi

    • Florida Atlantic University

Authors

  • Bhuvaneshwari Kashi

    • Florida Atlantic University