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Faculty Mentor Name
Michele Zanolin
Format Preference
Oral and Poster Presentation
Abstract
Memory is a low frequency signal produced in asymmetric core-collapse supernova explosions. The memory is dependent on three facets in the supernovae: the matter emission, the anisotropic neutrino emission, and the neutrino energy density. This low frequency component can be modeled by applying a long-term cosine to the end of simulated explosions. In order to make a detection (at either ground-based or space-based detectors) a complete understanding of the transfer functions at low frequencies is required, which involves the motion of the ground and harmonic oscillations from the suspensions. The memory is investigated by comparing a the previously mentioned toy model and the spherical harmonic decomposition of numerical simulation. Here we present our initial investigation of the toy model and numerical simulations.
Original Full-res PPT
Gravitational Wave Memory from Core-Collapse Supernovae
Memory is a low frequency signal produced in asymmetric core-collapse supernova explosions. The memory is dependent on three facets in the supernovae: the matter emission, the anisotropic neutrino emission, and the neutrino energy density. This low frequency component can be modeled by applying a long-term cosine to the end of simulated explosions. In order to make a detection (at either ground-based or space-based detectors) a complete understanding of the transfer functions at low frequencies is required, which involves the motion of the ground and harmonic oscillations from the suspensions. The memory is investigated by comparing a the previously mentioned toy model and the spherical harmonic decomposition of numerical simulation. Here we present our initial investigation of the toy model and numerical simulations.