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arXiv 0809.0695astro-phgr-qc
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核塌缩超新星的引力波特征

The Gravitational Wave Signature of Core-Collapse Supernovae

Christian D. Ott

摘要:

我们回顾了恒星核心坍缩和反弹后核心坍缩超新星演化中预期的引力波(GW)发射过程的系综。我们讨论了这些过程的建模的最新进展,并总结了最近的GW信号估计。此外,我们提出了新的结果GW发射反弹后对流翻转和质子中子星g-模式脉动的基础上轴对称辐射流体动力学计算。银河系核心坍缩超新星是非常罕见的事件,但在距离地球3-5 Mpc的范围内,其发生率在2年内跃升至1。使用目前可用的理论引力波形集,我们计算上限最佳信噪比的基础上,目前和先进的LIGO/GEO 600/VIRGO噪声曲线最近SN 2008 bk,爆炸在~3.9 Mpc。虽然最初的LIGO无法在这样的距离检测到核心坍塌事件发出的GW,但我们发现先进的LIGO级探测器可以对此类事件的GW发射强度施加显着的上限。我们研究了潜在的发生的各种GW的排放过程中,特别是超新星爆炸的情况下,并认为,GW的签名中微子驱动,磁旋转,和声驱动的核心崩溃SNe可能是相互排斥的。我们认为,即使是最初的LIGO可以区分这些爆炸机制的基础上检测(或未检测)的GW从银河系核心坍缩超新星。

英文摘要:

We review the ensemble of anticipated gravitational-wave (GW) emission processes in stellar core collapse and postbounce core-collapse supernova evolution. We discuss recent progress in the modeling of these processes and summarize most recent GW signal estimates. In addition, we present new results on the GW emission from postbounce convective overturn and protoneutron star g-mode pulsations based on axisymmetric radiation-hydrodynamic calculations. Galactic core-collapse supernovae are very rare events, but within 3-5 Mpc from Earth, the rate jumps to 1 in ~2 years. Using the set of currently available theoretical gravitational waveforms, we compute upper-limit optimal signal-to-noise ratios based on current and advanced LIGO/GEO600/VIRGO noise curves for the recent SN 2008bk which exploded at ~3.9 Mpc. While initial LIGOs cannot detect GWs emitted by core-collapse events at such a distance, we find that advanced LIGO-class detectors could put significant upper limits on the GW emission strength for such events. We study the potential occurrence of the various GW emission processes in particular supernova explosion scenarios and argue that the GW signatures of neutrino-driven, magneto-rotational, and acoustically-driven core-collapse SNe may be mutually exclusive. We suggest that even initial LIGOs could distinguish these explosion mechanisms based on the detection (or non-detection) of GWs from a galactic core-collapse supernova.

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