论文标题
重力波替代建模的获取的成本最小化
Cost Minimization in Acquisition for Gravitational Wave Surrogate Modeling
论文作者
论文摘要
引力波科学取决于昂贵的数值模拟，这为解释大规模二元黑洞的观察所需的二进制合并辐射提供了基本理解。这些模拟的高成本限制了探索二进制黑洞参数空间的大规模广告系列。已经开发出替代模型以在模拟结果之间有效插值，但是这些模型需要足够全面的样本才能进行训练。采集功能可用于识别域中的点进行模拟。我们开发了一个新的采集功能，该功能是模拟新点的成本。我们表明，当应用于二元质量比和无量纲的二进制质量比和无量纲的3D结构域时，累积的模拟成本将减少约10倍。
Gravitational wave science is dependent upon expensive numerical simulations, which provide the foundational understanding of binary merger radiation needed to interpret observations of massive binary black holes. The high cost of these simulations limits large-scale campaigns to explore the binary black hole parameter space. Surrogate models have been developed to efficiently interpolate between simulation results, but these models require a sufficiently comprehensive sample to train on. Acquisition functions can be used to identify points in the domain for simulation. We develop a new acquisition function which accounts for the cost of simulating new points. We show that when applied to a 3D domain of binary mass ratio and dimensionless spins, the accumulated cost of simulation is reduced by a factor of about 10.
