Harnessing the Phi-Transform for Early Warning of Neutron Star-Black Hole Binary Events
Faculty Mentor Name
Cameron Williams, Sukanta Bose
Format Preference
Poster
Abstract
Gravitational waves are ripples in the fabric of spacetime that occur from astrophysical events such the merger of two compact stellar objects. Using ground base detectors, we can measure these events and their gravitational waves. In the new era of multi-messenger astronomy, astronomy using multiple sources such as gravitational waves and electromagnetic radiation, it is vital to determine the validity of these events before their occurrence. We introduce a new method for extracting gravitational waves, specifically neutron star black hole binaries (NSBH), using the $n transform and its chirp extraction techniques. We show that noise behaves differently in this new detection method which allows for the extraction of important chirp data when properly aligned. We outline the multiple detection techniques and signal-to-noise ratio (SNR) as well as validity tests of the NSB H signals. Finally, we outline the full detection scheme for chirp-extraction of LIGO data from its processing to SNR.
Harnessing the Phi-Transform for Early Warning of Neutron Star-Black Hole Binary Events
Gravitational waves are ripples in the fabric of spacetime that occur from astrophysical events such the merger of two compact stellar objects. Using ground base detectors, we can measure these events and their gravitational waves. In the new era of multi-messenger astronomy, astronomy using multiple sources such as gravitational waves and electromagnetic radiation, it is vital to determine the validity of these events before their occurrence. We introduce a new method for extracting gravitational waves, specifically neutron star black hole binaries (NSBH), using the $n transform and its chirp extraction techniques. We show that noise behaves differently in this new detection method which allows for the extraction of important chirp data when properly aligned. We outline the multiple detection techniques and signal-to-noise ratio (SNR) as well as validity tests of the NSB H signals. Finally, we outline the full detection scheme for chirp-extraction of LIGO data from its processing to SNR.