Data series subtraction with unknown and unmodeled background noise

Improving Bayesian analysis for LISA Pathfinder using an efficient Markov Chain Monte Carlo method

(2014) Luigi Ferraioli et al.   EXPERIMENTAL ASTRONOMY

Space-borne gravitational wave observatories

(2014) Stefano Vitale   GENERAL RELATIVITY AND GRAVITATION

Detecting a stochastic gravitational wave background in the presence of a galactic foreground and instrument noise

(2014) Matthew R. Adams et al.   PHYSICAL REVIEW D

Fortifying the characterization of binary mergers in LIGO data

(2013) Tyson B. Littenberg et al.   PHYSICAL REVIEW D

Space-borne gravitational-wave detectors as time-delayed differential dynamometers

(2013) Giuseppe Congedo et al.   PHYSICAL REVIEW D

Time domain maximum likelihood parameter estimation in LISA Pathfinder data analysis

(2012) G. Congedo et al.   PHYSICAL REVIEW D

LISA Pathfinder data analysis

(2011) F Antonucci et al.   CLASSICAL AND QUANTUM GRAVITY

Modelling coloured residual noise in gravitational-wave signal processing

(2010) Christian Röver et al.   CLASSICAL AND QUANTUM GRAVITY

Bayesian parameter estimation in the second LISA Pathfinder mock data challenge

(2010) M. Nofrarias et al.   PHYSICAL REVIEW D

Discrete derivative estimation in LISA Pathfinder data reduction

(2009) Luigi Ferraioli et al.   CLASSICAL AND QUANTUM GRAVITY