论文标题
使用遗传算法的最佳重力波随访策略
Optimal Gravitational-wave Follow-up Tiling Strategies Using a Genetic Algorithm
论文作者
论文摘要
与重力观测器的随访观测值有限，与重力波的局部性观测值相比，重力波源的电磁发射通常需要进行多次后续观察。通常使用“蜂窝”结构覆盖重力波的定位区域，该结构仅在无限，平坦的表面上是最佳的。在这里，我们提出了一种机器学习算法，该算法与Broyden-Fletcher-Goldfarb-Shanno（BFGS）优化一起使用遗传算法，以找到瓷砖的最佳构型来覆盖球形表面上的重力波空定位区域。
The identification of electromagnetic emission from gravitational-wave sources typically requires multiple follow-up observations due to the limited fields-of-view of follow-up observatories compared to the poorly localized direction of gravitational waves. Gravitational-wave localization regions are typically covered with multiple telescope pointings using a "honeycomb" structure, which is optimal only on an infinite, flat surface. Here we present a machine-learning algorithm which uses genetic algorithms along with Broyden-Fletcher-Goldfarb-Shanno (BFGS) optimization to find an optimal configuration of tiles to cover the gravitational-wave sky localization area on a spherical surface.
