We use an asteroseismology method to calculate the frequencies of gravitational waves (GWs) in a long-term core-collapse supernova simulation, with a mass of 9.6 solar mass. The simulation, which includes neutrino radiation transport in general relativity is performed from core-collapse, bounce, explosion and cooling of protoneutron stars (PNSs) up to 20 s after the bounce self-consistently. Based on the hydrodynamics background, we calculate eigenmodes of the PNS oscillation through a perturbation analysis on fluid and metric. We classify the modes by the number of nodes and find that there are several eigenmodes. In the early phase before 1 s, there are low-frequency $g$-modes around 0.5 kHz, midfrequency $f$-modes around 1 kHz, and high-frequency $p$-modes above them. Beyond 1 second, the $g$-modes drop too low in frequency and the $p$-modes become too high to be detected by ground-based interferometers. However, the $f$-mode persists at 1 kHz. We present a novel fitting formula for the ramp-up mode, comprising a mixture of $g$-mode and $f$-mode, using postbounce time as a fitting parameter. Our approach yields improved results for the long-term simulation compared to prior quadratic formulas. We also fit frequencies using combinations of gravitational mass, $M$, and radius, $R$, of the PNS. We test three types of fitting variables: compactness $M/R$, surface gravity $M/{R}^{2}$, and average density $\sqrt{M/{R}^{3}}$. We present results of the time evolution of each mode and the fitting for three different ranges, from 0.2 s to 1 s, 4 s, and 20 s for each formula. We then compare the deviation of the formulas from the eigenmodes to determine which fitting formula is the best. In conclusion, any combination of $M$ and $R$ fits the eigenmodes well to a similar degree. Comparing three variables in detail, the fitting with compactness is slightly the best among them. We also find that the fitting using less than 1 s of simulation data cannot be extrapolated to the long-term frequency prediction.
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