15 papers
All You Need is not : Beyond the Mean of the Cross-Correlation Estimator when Searching for an Astrophysical Gravitational-Wave Background
Haowen Zhong, Francesco Iacovelli, Vuk Mandic +1
Searches for the stochastic gravitational-wave background (SGWB) using ground-based detectors rely heavily on the cross-correlation estimator , whose statistical properti…
Learned proposals in trans-dimensional inference are optimal at equilibrium, not during assembly
Argyro Sasli, Nikolaos Karnesis, Minas Karamanis +5
Inferring the dimension of a model - the number of components needed to explain data - jointly with the parameters is a pervasive problem, from counting sources in an image to mixt…
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…
Searching Stochastic Gravitational Wave Background Landscape Across Frequency Bands
Yunjia Bao, Tore Boybeyi, Vuk Mandic +1
Gravitational wave (GW) astrophysics is entering a multi-band era with upcoming GW detectors, enabling detailed mapping of the stochastic GW background across vast frequencies. We…
Polarized Anisotropic Stochastic Gravitational Wave Background Search with Ground-Based Detector Networks
Töre Boybeyi, Vuk Mandic
Gravitational waves admit a Stokes decomposition into intensity (), circular polarization (), and linear polarization (, ), analogous to Cosmic Microwave Background (CM…
Parameter Estimation of the Gravitational-Wave Angular Power Spectrum in the Dirty-Map Space
Erik Floden, Alex Granados, Vuk Mandic
We consider a search for the anisotropic stochastic gravitational-wave background (SGWB) that decomposes the sky map into its spherical harmonics components in order to obtain esti…