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In this work we propose an analytical model that reproduces the core-boundsphase of gravitational waves (GW) of Rapidly Rotating (RR) from Core CollapseSupernovae (CCSNe), as a function of three parameters, the arrival time $\tau$,the ratio of the kinetic and potential energy $\beta$ and a phenomenologicalparameter $\alpha$ related to rotation and equation of state (EOS). To validatethe model we use 126 waveforms from the Richers catalog \cite{Richers_2017}selected with the criteria of exploring a range of rotation profiles, andinvolving EOS. To quantify the degree of accuracy of the proposed model, with aparticular focus on the rotation parameter $\beta$, we show that the averageFitting Factor (FF) between the simulated waveforms with the templates is94.4\%. In order to estimate the parameters we propose a frequentist matchedfiltering approach in real interferometric noise which does not requireassigning any priors. We use the Matched Filter (MF) technique, where we injecta bank of templates considering simulated colored Gaussian noise and the realnoise of O3L1. For example for A300w6.00\_BHBLP at 10Kpc we obtain a standardeviation of $\sigma = 3.34\times 10^{-3}$ for simulated colored Gaussian noiseand $\sigma= 1.46\times 10^{-2}$ for real noise. On the other hand, from theasymptotic expansion of the variance we obtain the theoretical minimum errorfor $\hat{\beta}$ at 10 kpc and optimal orientation. The estimation error inthis case is from $10^{-2}$ to $10^{-3}$ as $\beta$ increases. We show that theresults of the estimation error of $\beta$ for the 3-parameter space (3D) isconsistent with the single-parameter space (1D), which allows us to concludethat $\beta$ is decoupled from the others two parameters.

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