46 citations · 148 across the 18 of their papers we have counts for
21 papers
Noisy Pipelines I: An end-to-end pipeline to perform multivariate noise inference for LISA
Ollie Burke, Joseph Bayley, Charlie Hoy +1
Instrumental data from the Laser Interferometer Space Antenna (LISA) must be post-processed prior to any global-fit based analysis. For example, it is critical to filter, downsampl…
Untangling Extreme Mass Ratio Inspirals and Massive Black Hole Binaries in LISA Data
Rishav Agrawal, Clémence Allietta, Ollie Burke +1
The Laser Interferometer Space Antenna (LISA) will observe sources in the millihertz regime, such as Galactic Binaries (GBs), Massive Black Hole Binaries (MBHBs), and Extreme Mass…
Mind the second gap: The impact of gaps on noise and signal parameter inference
Ollie Burke, Federico Pozzoli, Martina Muratore +1
Gravitational-wave data is never analysed without some conditioning: filtering and tapering act multiplicatively on the noise, destroying the stationarity on which the Whittle like…
The significance of first post-adiabatic contributions for scalar charge measurements with intermediate and extreme mass ratio inspirals
Susanna Barsanti, Ollie Burke, Andrea Maselli +3
We present the first self-force-based beyond-GR waveform model incorporating post-adiabatic orbital evolution for intermediate- and extreme-mass-ratio inspirals in theories of grav…
An explicit and differentiable Wilson-Daubechies-Meyer transform for gravitational-wave data analysis
Avi Vajpeyi, Giorgio Mentasti, Quentin Baghi +2
The Wilson-Daubechies-Meyer (WDM) time-frequency transform has been widely used in gravitational-wave astronomy, yet a self-contained, mathematically explicit reference for practit…
LISA science ground segment conventions
Quentin Baghi, Stanislas Babak, Leor Barack +22
This document sets out the conventions used for data simulations, waveforms, and analysis pipelines within the Distributed Data Processing Centre (DDPC) of the Laser Interferometer…
Quantifying the Scientific Potential of Intermediate and Extreme Mass Ratio Inspirals with the Laser Interferometer Space Antenna
Lorenzo Speri, Francisco Duque, Susanna Barsanti +4
The Laser Interferometer Space Antenna (LISA) will enable precision studies of Extreme and Intermediate Mass Ratio Inspirals (EMRIs/IMRIs), providing unique probes of astrophysical…
First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals
Amin Boumerdassi, Matthew C. Edwards, Avi Vajpeyi +1
This work investigates the impact of streams of transient, non-Gaussian noise artifacts or "glitches" on the parameter estimation of extreme mass ratio inspirals (EMRI) in the Lase…
The impact of missing data on the construction of LISA Time Delay Interferometry Michelson variables
Ollie Burke, Martina Muratore, Graham Woan
We investigate the impact of missing input data on the construction of second-generation Time Delay Interferometry (TDI) variables, which enable data analysis for the Laser Interfe…
Systematic errors in fast relativistic waveforms for Extreme Mass Ratio Inspirals
Hassan Khalvati, Philip Lynch, Ollie Burke +3
Accurate modeling of \gls{EMRIs} is essential for extracting reliable information from future space-based gravitational wave observatories. Fast waveform generation frameworks adop…
The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes
Christian E. A. Chapman-Bird, Lorenzo Speri, Zachary Nasipak +13
Observations of gravitational-wave signals emitted by compact binary inspirals provide unique insights into their properties, but their analysis requires accurate and efficient wav…
A note on the conversion of orbital angles for extreme mass ratio inspirals
Philip Lynch, Ollie Burke
We outline a practical scheme for converting between three commonly used sets of phases to describe the trajectories of extreme mass ratio inspirals; quasi-Keplerian angles, Mino t…
Test for LISA foreground Gaussianity and stationarity: extreme mass-ratio inspirals
Manuel Piarulli, Riccardo Buscicchio, Federico Pozzoli +3
Extreme Mass Ratio Inspirals (EMRIs) are key observational targets for the Laser Interferometer Space Antenna (LISA) mission. Unresolvable EMRI signals contribute to the formation…
Probing fundamental physics with Extreme Mass Ratio Inspirals: a full Bayesian inference for scalar charge
Lorenzo Speri, Susanna Barsanti, Andrea Maselli +6
Extreme Mass Ratio Inspirals (EMRIs) are key sources for the future space-based gravitational wave detector LISA, and are considered promising probes of fundamental physics. Here,…
Accuracy Requirements: Assessing the Importance of First Post-Adiabatic Terms for Small-Mass-Ratio Binaries
Ollie Burke, Gabriel Andres Piovano, Niels Warburton +7
We investigate the impact of post-adiabatic (1PA) terms on parameter estimation for extreme and intermediate mass-ratio inspirals using state-of-the-art waveform models. Our analys…
Calibrating approximate Bayesian credible intervals of gravitational-wave parameters
Ruiting Mao, Jeong Eun Lee, Ollie Burke +3
Approximations are commonly employed in realistic applications of scientific Bayesian inference, often due to convenience if not necessity. In the field of gravitational-wave (GW)…
Strongly-Lensed Extreme Mass-ratio Inspirals
Martina Toscani, Ollie Burke, Chang Liu +3
In this work, we investigate detection rates and parameter estimation of strongly-lensed extreme mass-ratio inspirals (LEMRIs) in the context of the Laser Interferometer Space Ante…
Constraining the evolution of Newton's constant with slow inspirals observed from spaceborne gravitational-wave detectors
R. Barbieri, S. Savastano, L. Speri +5
Spaceborne gravitational-wave (GW) detectors observing at milli-Hz and deci-Hz frequencies are expected to detect large numbers of quasi-monochromatic signals. The first and second…
Noisy neighbours: inference biases from overlapping gravitational-wave signals
Andrea Antonelli, Ollie Burke, Jonathan R. Gair
Understanding and dealing with inference biases in gravitational-wave (GW) parameter estimation when a plethora of signals are present in the data is one of the key challenges for…
Constraining the spin parameter of near-extremal black holes using LISA
Ollie Burke, Jonathan R. Gair, Joan Simón +1
We describe a model that generates first order adiabatic EMRI waveforms for quasi-circular equatorial inspirals of compact objects into rapidly rotating (near-extremal) black holes…
Transition from Inspiral to Plunge: A Complete Near-Extremal Trajectory and Associated Waveform
Ollie Burke, Jonathan R. Gair, Joan Simón
We extend the Ori and Thorne (OT) procedure to compute the transition from an adiabatic inspiral into a geodesic plunge for any spin, with emphasis on near-extremal ones. Our analy…