论文标题
端到端模拟器：灵活且可扩展的基于云的体系结构。应用高分辨率光谱仪和ELT雇员
End to end simulators: A flexible and scalable Cloud-Based architecture. Application to High Resolution Spectrographs ESPRESSO and ELT-HIRES
论文作者
论文摘要
从现有和即将到来的高分辨率光谱仪中的帧模拟（用于高精度径向速度测量值）的针对性是计算要求（无论是在时和空间上）。我们在本文中提出了一种基于工作量的并行化和分布的创新方法。通过使用平台中的NVIDIA CUDA定制内核和最先进的云构造作为服务（PAAS）方法，我们实施了一个模块化且可扩展的端到端模拟器，能够以几乎没有CM/sec的订单的准确性渲染合成框架，同时保持计算时间较低。我们将方法应用于两个光谱仪。对于VLT-Espresso，我们在实际数据和模拟之间进行了声音比较，显示了所获得的光谱格式和恢复的仪器剖面。我们还模拟了ELT的即将到来的员工的数据，并根据计算时间和可伸缩性研究了问题的大小。此外，我们证明了与数据还原系统的接口，我们的初步表明可以通过现有方法成功减少数据。
Simulations of frames from existing and upcoming high-resolution spectrographs, targeted for high accuracy radial velocity measurements, are computationally demanding (both in time and space). We present in this paper an innovative approach based on both parallelization and distribution of the workload. By using NVIDIA CUDA custom-made kernels and state-of-the-art cloud-computing architectures in a Platform as a Service (PaaS) approach, we implemented a modular and scalable end-to-end simulator that is able to render synthetic frames with an accuracy of the order of few cm/sec, while keeping the computational time low. We applied our approach to two spectrographs. For VLT-ESPRESSO we give a sound comparison between the actual data and the simulations showing the obtained spectral formats and the recovered instrumental profile. We also simulate data for the upcoming HIRES at the ELT and investigate the overall performance in terms of computational time and scalability against the size of the problem. In addition we demonstrate the interface with data-reduction systems and we preliminary show that the data can be reduced successfully by existing methods.
