2006/04/30 by P. Ajith, P Ajith, M Hewitson +2 · 2 citations
Computer Science · Earth and Planetary Sciences · Physics and Astronomy · #Meteorological Phenomena and Simulations #Pulsars and Gravitational Waves Research #Target Tracking and Data Fusion in Sensor Networks #gr-qc
paper · pdf · doi:10.1088/0264-9381/23/19/s13
published as Class.Quant.Grav.23:S741-S749,2006 · Minor changes; To appear in Class. Quantum Grav. (Proc. GWDAW10)
arxiv created 2006/06/30 · openalex publication_date 2006/09/15 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Time-series data from multiple gravitational wave (GW) detectors can be linearly combined to form a null-stream , in which all GW information will be cancelled out. This null-stream can be used to distinguish between actual GW triggers and spurious noise transients in a search for GW bursts using a network of detectors. The biggest source of error in the null-stream analysis comes from the fact that the detector data are not perfectly calibrated. In this paper, we present an implementation of the null-stream veto in the simplest network of two co-located detectors. The detectors are assumed to have calibration uncertainties and correlated noise components. We estimate the effect of calibration uncertainties in the null-stream veto analysis and propose a new formulation to overcome this. This new formulation is demonstrated by doing software injections in Gaussian noise.