Developing a Method for Detection of Weak Gravitational Wave Signals from Core Collapse Supernovae
An Oral Presentation at Annual Research Conference
Dauren Dossymbek, Zhanerke Turymtay and Dr. Soma Mukherjee
Abstract
Gravitational waves are small changes in space time produced by massive astrophysical that propagate like waves moving with the speed of light. Tremendous efforts have been made by international community of scientists to detect gravitational waves. This goal has finally been achieved by Laser-Interferometer Gravitational Wave Observatory (LIGO) which is currently conducting continuous observations of the universe. Among the sources of gravitational waves are binary stellar objects, pulsars, supernovae, and the universe itself during its primordial expansion. Since supernovae signals are weak by nature we are looking for methods that can effectively increase signal-to-noise ratio of the data. In particular, we are developing a method for detection of weak gravitational wave signals from core collapse supernovae.
To test our algorithm, we use simulated injections which contain Gaussian noise and signals from Dimmelmeier and Oak Ridge waveform catalogs. When the algorithm is finished we will extend it to include realistic noise from LIGO detectors. Our approach utilizes the Wiener Noise Suppressor which is based on Decision-Directed method with TSNR and HRNR algorithms with the goal to improve signal-to-noise ratio for supernovae searches. The results of this research can be useful for international community of scientists.