从随机游走至热力骑行：在上升飞行中普遍的异常传输
From Random Walks to Thermal Rides: Universal Anomalous Transport in Soaring Flights
AI总结：
研究揭示了上升飞行中普遍的亚弹道传输特性，通过间歇性和持久性机制，发现学习在搜索阶段提升探索效率。
摘要：
跨国家的上升飞行依赖于间歇性的大气上升气流来覆盖长距离，产生轨迹在快速移动和局部探索之间交替。从滑翔伞、滑翔机和帆状机的大量飞行数据中，我们揭示出一个普遍的传输定律：在短时间的弹道运动之后，水平运动持续呈现亚弹道特性，Hurst指数约为0.88，几乎不依赖于飞行器类型。通过使用概率分割方法进行相位解析分析，我们发现这种标度特性源于上升传输本质上间歇性、二维且方向相关的性质，在连续弹道段落中并不相干地叠加。我们发现学习，在意义上是经验驱动的探索和决策能力的提升，主要体现在搜索阶段，增强了高效探测空气质量和定位下一个热力的能力。总体而言，我们的结果表明，大气结构和过渡-搜索-爬升循环的一般组织决定了传输特性，将人类上升飞行置于生物和物理系统中，异常传输源于间歇性和持久性。
英文摘要：
Cross-country soaring flights rely on intermittent atmospheric updrafts to cover long distances, producing trajectories that alternate between rapid relocation and local exploration. From a large dataset of paraglider, hang glider, and sailplane flights, we uncover a universal transport law: beyond short ballistic times, horizontal motion is persistently sub-ballistic, with a Hurst exponent $\approx 0.88$ largely independent of aircraft type. Phase-resolved analysis using a probabilistic segmentation method shows that this scaling arises from the fundamentally intermittent, two-dimensional, and directionally correlated nature of soaring transport, in which successive ballistic segments do not add coherently. We find that learning, in the sense of experience-driven improvements in exploration and decision-making, manifests primarily in the search phase, enhancing the ability to efficiently probe the air mass and locate the next thermal. Overall, our results suggest that atmospheric structure and the generic organization of the transition-search-climb cycle dominate transport properties, placing human soaring alongside biological and physical systems where anomalous transport emerges from intermittency and persistence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
