paper

Parameter estimation from the core-bounce phase of rotating core collapse supernovae in real interferometer noise

arXiv:2304.01267

Abstract

In this work we propose an analytical model that reproduces the core-bounds phase of gravitational waves (GW) of Rapidly Rotating (RR) from Core Collapse Supernovae (CCSNe), as a function of three parameters, the arrival time , the ratio of the kinetic and potential energy and a phenomenological parameter related to rotation and equation of state (EOS). To validate the model we use 126 waveforms from the Richers catalog \cite{Richers_2017} selected with the criteria of exploring a range of rotation profiles, and involving EOS. To quantify the degree of accuracy of the proposed model, with a particular focus on the rotation parameter , we show that the average Fitting Factor (FF) between the simulated waveforms with the templates is 94.4\%. In order to estimate the parameters we propose a frequentist matched filtering approach in real interferometric noise which does not require assigning any priors. We use the Matched Filter (MF) technique, where we inject a bank of templates considering simulated colored Gaussian noise and the real noise of O3L1. For example for A300w6.00\_BHBLP at 10Kpc we obtain a standar deviation of for simulated colored Gaussian noise and for real noise. On the other hand, from the asymptotic expansion of the variance we obtain the theoretical minimum error for at 10 kpc and optimal orientation. The estimation error in this case is from to as increases. We show that the results of the estimation error of for the 3-parameter space (3D) is consistent with the single-parameter space (1D), which allows us to conclude that is decoupled from the others two parameters.

17 pages

Parameter estimation from the core-bounce phase of rotating core collapse supernovae in real interferometer noise · wovepaper