Defines peak-integrated sensitivity curves (PISCs) that fold in the expected spectral shape of gravitational waves from cosmological phase transitions and supplies semianalytical fits plus public data for major detectors.
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A dirty-map space inference method allows recovery of SGWB angular power spectrum parameters from LIGO O3 simulations for strong signals in auto- and cross-correlation searches up to ℓ_max=10.
ALP-assisted first-order phase transitions can explain observed intergalactic magnetic fields and produce detectable gravitational waves, linking cosmology with particle physics searches.
citing papers explorer
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New Sensitivity Curves for Gravitational-Wave Signals from Cosmological Phase Transitions
Defines peak-integrated sensitivity curves (PISCs) that fold in the expected spectral shape of gravitational waves from cosmological phase transitions and supplies semianalytical fits plus public data for major detectors.
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Parameter Estimation of the Gravitational-Wave Angular Power Spectrum in the Dirty-Map Space
A dirty-map space inference method allows recovery of SGWB angular power spectrum parameters from LIGO O3 simulations for strong signals in auto- and cross-correlation searches up to ℓ_max=10.
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Primordial Magnetogenesis and Gravitational Waves from ALP-assisted Phase Transition
ALP-assisted first-order phase transitions can explain observed intergalactic magnetic fields and produce detectable gravitational waves, linking cosmology with particle physics searches.