Title: SFTs: a scalable data-analysis framework for long-duration gravitational-wave signals Show Chinese title

Title: SFTs：用于长持续时间引力波信号的可扩展数据分析框架

Abstract: We introduce a framework based on Short-time Fourier Transforms (SFTs) to analyze long-duration gravitational wave signals from compact binaries. Targeted systems include binary neutron stars observed by third-generation ground-based detectors and massive black-hole binaries observed by the LISA space mission. In short, ours is an extremely fast, scalable, and parallelizable implementation of the gravitational-wave inner product, a core operation of gravitational-wave matched filtering. By operating on disjoint data segments, SFTs allow for efficient handling of noise non-stationarities, data gaps, and detector-induced signal modulations. We present a pilot application to early warning problems in both ground- and space-based next-generation detectors. Overall, SFTs reduce the computing cost of evaluating an inner product by three to five orders of magnitude, depending on the specific application, with respect to a standard approach. We release public tools to operate using the SFT framework, including a vectorized and hardware-accelerated re-implementation of a time-domain waveform. The inner product is the key building block of all gravitational-wave data treatments; by speeding up this low-level element so massively, SFTs provide an extremely promising solution for current and future gravitational-wave data-analysis problem Show Chinese abstract

Abstract: 我们引入了一个基于短时傅里叶变换（SFTs）的框架，用于分析来自致密双星的长持续时间引力波信号。目标系统包括由第三代地面探测器观测的双中子星以及由LISA空间任务观测的质量较大的黑洞双星。简而言之，我们的方法是对引力波内积的一种极其快速、可扩展且可并行化的实现，这是引力波匹配滤波的核心操作。通过在不相交的数据段上操作，SFTs能够高效处理噪声非平稳性、数据间隙和探测器引起的信号调制。我们展示了在下一代地面和空间探测器中的早期预警问题的一个初步应用。总体而言，与标准方法相比，SFTs根据具体应用的不同，将评估内积的计算成本降低了三到五个数量级。我们发布了公共工具，可用于使用SFT框架，包括对时域波形的矢量化和硬件加速重新实现。内积是所有引力波数据处理的关键构建模块；通过如此大规模地加速这一底层元素，SFTs为当前和未来的引力波数据分析问题提供了一个极具前景的解决方案。