activity
20172025
most citedThe Lunar Gravitational-wave Antenna: Mission Studies and Science Case

39 citations · 109 across the 7 of their papers we have counts for

collaborators

7 papers

gr-qc2025★ 6 cited

Biased parameter inference of eccentric, spin-precessing binary black holes

Divyajyoti, Isobel M. Romero-Shaw, Vaishak Prasad +8

While the majority of gravitational wave (GW) events observed by the LIGO and Virgo detectors are consistent with mergers of binary black holes (BBHs) on quasi-circular orbits, som…

astro-ph.CO2025

An Accurate Modeling of Nano-hertz Gravitational Wave Signal from Eccentric Supermassive Binary Black Holes: An Essential Step Toward a Robust Discovery

Mohit Raj Sah, Akash Maurya, Suvodip Mukherjee +7

The stochastic gravitational wave background (SGWB) in the nanohertz (nHz) regime, detectable by pulsar timing arrays (PTAs), provides a promising probe of the cosmic population of…

astro-ph.IM2025★ 1 cited

Gravitational physics in the context of Indian astronomy: A vision document

P. Ajith, K. G. Arun, Sukanta Bose +13

Contributions from the Indian gravity community have played a significant role in shaping several branches of astronomy and astrophysics. This document reviews some of the most imp…

gr-qc2024★ 31 cited

ESIGMAHM: An Eccentric, Spinning inspiral-merger-ringdown waveform model with Higher Modes for the detection and characterization of binary black holes

Kaushik Paul, Akash Maurya, Quentin Henry +5

We present a time-domain inspiral-merger-ringdowm (IMR) waveform model ESIGMAHM constructed within a framework we named ESIGMA for coalescing binaries of spinning black holes on mo…

gr-qc2024★ 39 cited

The Lunar Gravitational-wave Antenna: Mission Studies and Science Case

Parameswaran Ajith, Pau Amaro Seoane, Manuel Arca Sedda +83

The Lunar Gravitational-wave Antenna (LGWA) is a proposed array of next-generation inertial sensors to monitor the response of the Moon to gravitational waves (GWs). Given the size…

astro-ph.IM2023★ 4 cited

Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers

Minyang Tian, E. A. Huerta, Huihuo Zheng +1

We present a new class of AI models for the detection of quasi-circular, spinning, non-precessing binary black hole mergers whose waveforms include the higher order gravitational w…