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20092024
most citedLaser Interferometer Space Antenna

1.4k citations · 2.3k across the 34 of their papers we have counts for

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11 papers · 1 filter

gr-qc2024

Global Analysis of LISA Data with Galactic Binaries and Massive Black Hole Binaries

Stefan H. Strub, Luigi Ferraioli, Cédric Schmelzbach +2

The Laser Interferometer Space Antenna (LISA) is a planned space-based observatory to measure gravitational waves in the millihertz frequency band. This frequency band is expected…

gr-qc2014★ 33 cited

Data series subtraction with unknown and unmodeled background noise

Stefano Vitale, Giuseppe Congedo, Rita Dolesi +20

LISA Pathfinder (LPF), ESA's precursor mission to a gravitational wave observatory, will measure the degree to which two test-masses can be put into free-fall, aiming to demonstrat…

gr-qc2013★ 11 cited

Bayesian Model Selection for LISA Pathfinder

Nikolaos Karnesis, Miquel Nofrarias, Carlos F. Sopuerta +11

The main goal of the LISA Pathfinder (LPF) mission is to fully characterize the acceleration noise models and to test key technologies for future space-based gravitational-wave obs…

gr-qc2012★ 1 cited

Bayesian Inference for LISA Pathfinder using Markov Chain Monte Carlo Methods

Luigi Ferraioli, Edward K. Porter, Eric Plagnol

We present a parameter estimation procedure based on a Bayesian framework by applying a Markov Chain Monte Carlo algorithm to the calibration of the dynamical parameters of a space…

gr-qc2011★ 2 cited

Analysis of the residual force noise for the LISA Technology Package

Luigi Ferraioli, Michele Armano, Giuseppe Congedo +10

The analysis of the noise sources perturbing a test mass (TM) geodesic motion is the main scientific objective of the LISA Technology Package experiment (LTP) on board of the LISA…

gr-qc2011★ 9 cited

Quantitative Analysis of LISA Pathfinder Test Mass Noise

Luigi Ferraioli, Martin Hewitson, Giuseppe Congedo +4

In this paper we discuss two main problems associated with the analysis of the data from LISA Pathfinder (LPF): i) Excess noise detection and ii) Noise parameter identification. Th…