18 citations · 47 across the 10 of their papers we have counts for
11 papers
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…
Implications of the LISA stochastic signal from eccentric stellar mass black hole binaries in vacuum
Ran Chen, Rohit S. Chandramouli, Federico Pozzoli +2
Astrophysical formation channels of stellar-mass binary black holes (sBBHs) can induce significant orbital eccentricities in their early inspiral. We analyze the implications on th…
The first year of LISA Galactic foreground
Riccardo Buscicchio, Federico Pozzoli, Daniele Chirico +1
Galactic white-dwarf binaries play a central role in the inference model for the Laser Interferometer Space Antenna. In this manuscript, we employ the codebase t…
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…
Bahamas: BAyesian inference with HAmiltonian Montecarlo for Astrophysical Stochastic background
Federico Pozzoli, Riccardo Buscicchio, Antoine Klein +1
The LISA datastream will be populated by large instrumental and astrophysical noises, both potentially exhibiting long-term non-stationarities. Modelling and inferring on them is a…
Is your stochastic signal really detectable?
Federico Pozzoli, Jonathan Gair, Riccardo Buscicchio +1
Separating a stochastic gravitational wave background (SGWB) from noise is a challenging statistical task. One approach to establishing a detection criterion for the SGWB is using…
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…
Cyclostationary signals in LISA: a practical application to Milky Way satellites
Federico Pozzoli, Riccardo Buscicchio, Antoine Klein +3
One of the primary sources of gravitational waves (GWs) anticipated to be detected by the Laser Interferometer Space Antenna (LISA) are Galactic double white dwarf binaries (DWDs).…
A weakly-parametric approach to stochastic background inference in LISA
Federico Pozzoli, Riccardo Buscicchio, Christopher J. Moore +2
Detecting stochastic gravitational wave backgrounds (SGWBs) with The Laser Interferometer Space Antenna (LISA) is among the mission science objectives. Disentangling SGWBs of astro…
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…
Computation of stochastic background from extreme mass ratio inspiral populations for LISA
Federico Pozzoli, Stanislav Babak, Alberto Sesana +2
Extreme mass ratio inspirals (EMRIs) are among the primary targets for the Laser Interferometer Space Antenna (LISA). The extreme mass ratios of these systems result in relatively…