论文标题
泊松焦点：一种有效的在线方法，用于检测计数爆发，并应用于伽玛射线爆发检测
Poisson-FOCuS: An efficient online method for detecting count bursts with application to gamma ray burst detection
论文作者
论文摘要
伽马射线爆发是遥远爆炸的恒星闪烁的闪光。在不同能带上监视光子的光子的立方体卫星用于检测这些爆发。需要使用有限的计算资源在板载板卫星上运行计算高效的算法，该算法可以检测何时发生伽马射线爆发。当前的算法基于在不同大小的时间窗口网格上监视光子计数。我们提出了一种新的算法，该算法将最近开发的用于在线变更检测检测的重点算法扩展到泊松数据。我们的算法在数学上等同于搜索所有可能的窗口尺寸，但以当前基于网格的方法的计算成本的一半。我们使用Fermi Gamma-ray爆发目录的模拟和数据证明了方法的额外功能。
Gamma-ray bursts are flashes of light from distant exploding stars. Cube satellites that monitor photons across different energy bands are used to detect these bursts. There is a need for computationally efficient algorithms, able to run using the limited computational resource onboard a cube satellite, that can detect when gamma-ray bursts occur. Current algorithms are based on monitoring photon counts across a grid of different sizes of time window. We propose a new algorithm, which extends the recently developed FOCuS algorithm for online change detection to Poisson data. Our algorithm is mathematically equivalent to searching over all possible window sizes, but at half the computational cost of the current grid-based methods. We demonstrate the additional power of our approach using simulations and data drawn from the Fermi gamma-ray burst catalogue.
