论文标题
在MPD检测器上快速模拟时间投影室响应的生成对抗网络
Generative Adversarial Networks for the fast simulation of the Time Projection Chamber responses at the MPD detector
论文作者
论文摘要
详细的检测器仿真模型对于成功的现代高能物理实验的成功运行至关重要。在大多数情况下，此类详细的模型需要大量的计算资源才能运行。通常，这可能是无法提供的，需要更少的资源密集型方法。在这项工作中，我们证明了生成对抗网络（GAN）作为NICA加速器建筑群MPD检测器的时间投影室（TPC）的这种快速模拟模型的基础。与详细的仿真相比，我们基于GAN的原型TPC模型的效果要快的速度要快，而没有明显的高水平重建特性质量下降的速度。比较了直接和间接质量指标优化的方法。
The detailed detector simulation models are vital for the successful operation of modern high-energy physics experiments. In most cases, such detailed models require a significant amount of computing resources to run. Often this may not be afforded and less resource-intensive approaches are desired. In this work, we demonstrate the applicability of Generative Adversarial Networks (GAN) as the basis for such fast-simulation models for the case of the Time Projection Chamber (TPC) at the MPD detector at the NICA accelerator complex. Our prototype GAN-based model of TPC works more than an order of magnitude faster compared to the detailed simulation without any noticeable drop in the quality of the high-level reconstruction characteristics for the generated data. Approaches with direct and indirect quality metrics optimization are compared.
