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A thorough investigation of cross-correlation estimators for stochastic gravitational-wave background searches in ground-based detector data
Haowen Zhong, Joseph D. Romano, Vuk Mandic +2
Detecting a stochastic gravitational-wave background represents a crucial yet challenging objective within the field of gravitational-wave astronomy. Ground-based detectors current…
pygwb: Python-based library for gravitational-wave background searches
Arianna I. Renzini, Alba Romero-Rodrguez, Colm Talbot +31
The collection of gravitational waves (GWs) that are either too weak or too numerous to be individually resolved is commonly referred to as the gravitational-wave background (GWB).…
Effects of calibration uncertainties on the detection and parameter estimation of isotropic gravitational-wave backgrounds
Junaid Yousuf, Shivaraj Kandhasamy, Manzoor A Malik
Gravitational-wave backgrounds are expected to arise from the superposition of gravitational wave signals from a large number of unresolved sources and also from the stochastic pro…
Gravitational-wave searches in the era of Advanced LIGO and Virgo
Sarah Caudill, Shivaraj Kandhasamy, Claudia Lazzaro +3
The field of gravitational-wave astronomy has been opened up by gravitational-wave observations made with interferometric detectors. This review surveys the current state-of-the-ar…
Search for the stochastic gravitational-wave background induced by primordial curvature perturbations in LIGO's second observing run
Shasvath J. Kapadia, Kanhaiya Lal Pandey, Teruaki Suyama +2
Primordial density perturbations in the radiation-dominated era of the early Universe are expected to generate stochastic gravitational waves (GWs) due to nonlinear mode coupling.…
Calibration of Advanced Virgo and Reconstruction of the Gravitational Wave Signal h(t) during the Observing Run O2
Virgo Collaboration, F. Acernese, T. Adams +281
In August 2017, Advanced Virgo joined Advanced LIGO for the end of the O2 run, leading to the first gravitational waves detections with the three-detector network. This paper descr…