Optimizing Vetoes for Gravitational-wave Transient Searches
arXiv:1303.7159 · doi:10.1088/0264-9381/30/15/155010
Abstract
Interferometric gravitational-wave detectors like LIGO, GEO600 and Virgo record a surplus of information above and beyond possible gravitational-wave events. These auxiliary channels capture information about the state of the detector and its surroundings which can be used to infer potential terrestrial noise sources of some gravitational-wave-like events. We present an algorithm addressing the ordering (or equivalently optimizing) of such information from auxiliary systems in gravitational-wave detectors to establish veto conditions in searches for gravitational-wave transients. The procedure was used to identify vetoes for searches for unmodelled transients by the LIGO and Virgo collaborations during their science runs from 2005 through 2007. In this work we present the details of the algorithm; we also use a limited amount of data from LIGO's past runs in order to examine the method, compare it with other methods, and identify its potential to characterize the instruments themselves. We examine the dependence of Receiver Operating Characteristic curves on the various parameters of the veto method and the implementation on real data. We find that the method robustly determines important auxiliary channels, ordering them by the apparent strength of their correlations to the gravitational-wave channel. This list can substantially reduce the background of noise events in the gravitational-wave data. In this way it can identify the source of glitches in the detector as well as assist in establishing confidence in the detection of gravitaional-wave transients.
18 pages, 8 figures, 2 tables
References in corpus (5)
- LIGO: The Laser Interferometer Gravitational-Wave Observatory
- Search for Gravitational Waves from Low Mass Compact Binary Coalescence in LIGO's Sixth Science Run and Virgo's Science Runs 2 and 3
- All-sky search for gravitational-wave bursts in the second joint LIGO-Virgo run
- Physical instrumental vetoes for gravitational-wave burst triggers
- Robust vetoes for gravitational-wave burst triggers using known instrumental couplings
Cited by in corpus (17)
- Characterization of the LIGO detectors during their sixth science run
- Analysis Framework for the Prompt Discovery of Compact Binary Mergers in Gravitational-wave Data
- Characterization of transient noise in Advanced LIGO relevant to gravitational wave signal GW150914
- Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science
- Enhancing Gravitational-Wave Science with Machine Learning
- Mitigation of the instrumental noise transient in gravitational-wave data surrounding GW170817
- Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data
- Low-Latency Gravitational Wave Alerts for Multi-Messenger Astronomy During the Second Advanced LIGO and Virgo Observing Run
- Classification methods for noise transients in advanced gravitational-wave detectors
- LIGO Detector Characterization in the first half of the fourth Observing run
- Efficient Gravitational-wave Glitch Identification from Environmental Data Through Machine Learning
- Investigation of the effects of non-Gaussian noise transients and their mitigation in parameterized gravitational-wave tests of general relativity
- Incorporating information from LIGO data quality streams into the PyCBC search for gravitational waves
- A Coincidence Null Test for Poisson-Distributed Events
- Exposing Gravitational Waves below the Quantum Shot Noise
- Sensing and vetoing loud transient noises for the gravitational-wave detection
- Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning