Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

Optimizing vetoes for gravitational-wave transient searches

(2013) R Essick et al.   CLASSICAL AND QUANTUM GRAVITY

Searching for gravitational waves from binary coalescence

(2013) S. Babak et al.   PHYSICAL REVIEW D

The characterization of Virgo data and its impact on gravitational-wave searches

(2012) J Aasi et al.   CLASSICAL AND QUANTUM GRAVITY

Likelihood-ratio ranking of gravitational-wave candidates in a non-Gaussian background

(2012) Rahul Biswas et al.   PHYSICAL REVIEW D

Detecting transient gravitational waves in non-Gaussian noise with partially redundant analysis methods

(2012) Rahul Biswas et al.   PHYSICAL REVIEW D

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

A hierarchical method for vetoing noise transients in gravitational-wave detectors

(2011) Joshua R Smith et al.   CLASSICAL AND QUANTUM GRAVITY

Methods for reducing false alarms in searches for compact binary coalescences in LIGO data

(2010) J Slutsky et al.   CLASSICAL AND QUANTUM GRAVITY

LIGO S6 detector characterization studies

(2010) Nelson Christensen et al.   CLASSICAL AND QUANTUM GRAVITY

Predictions for the rates of compact binary coalescences observable by ground-based gravitational-wave detectors

(2010) J Abadie et al.   CLASSICAL AND QUANTUM GRAVITY

Advanced LIGO: the next generation of gravitational wave detectors

(2010) Gregory M Harry et al.   CLASSICAL AND QUANTUM GRAVITY

Search for gravitational-wave bursts in the first year of the fifth LIGO science run

(2009) B. P. Abbott et al.   PHYSICAL REVIEW D

LIGO: the Laser Interferometer Gravitational-Wave Observatory

(2009) B P Abbott et al.   REPORTS ON PROGRESS IN PHYSICS

The LSC glitch group: monitoring noise transients during the fifth LIGO science run

(2008) L Blackburn et al.   CLASSICAL AND QUANTUM GRAVITY