8 citations · 26 across the 13 of their papers we have counts for
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Hierarchical modeling of gravitational-wave populations for disentangling environmental and modified-gravity effects
Shubham Kejriwal, Enrico Barausse, Alvin J. K. Chua
The upcoming Laser Interferometer Space Antenna (LISA) will detect up to thousands of extreme-mass-ratio inspirals (EMRIs). These sources will spend cycles in band, and…
When vacuum breaks: a self-consistency test for astrophysical environments in extreme mass ratio inspirals
Lorenzo Copparoni, Rohit S. Chandramouli, Enrico Barausse
Gravitational-wave signals are typically interpreted under the vacuum hypothesis, i.e. assuming negligible influence from the astrophysical environment. This assumption is expected…
Muffled Murmurs: Environmental effects in the LISA stochastic signal from stellar-mass black hole binaries
Ran Chen, Rohit S. Chandramouli, Federico Pozzoli +2
The population of unresolved stellar-mass black hole binaries (sBBHs) is expected to produce a stochastic gravitational-wave background (SGWB) potentially detectable by the Laser I…
Simulation-based population inference of LISA's Galactic binaries: Bypassing the global fit
Rahul Srinivasan, Enrico Barausse, Natalia Korsakova +1
The Laser Interferometer Space Antenna (LISA) is expected to detect thousands of individually resolved gravitational wave sources, overlapping in time and frequency, on top of unre…
Systematic bias in LISA ringdown analysis due to waveform inaccuracy
Lodovico Capuano, Massimo Vaglio, Rohit S. Chandramouli +3
Inaccurate modeling of gravitational-wave signals can introduce systematic biases in the inferred source parameters. As detector sensitivities improve and signals become louder, mi…