论文标题
使用神经网络搜索1883年恒星的宽带脉冲信标
Searching for broadband pulsed beacons from 1883 stars using neural networks
论文作者
论文摘要
在无线电频率上寻找外星智能的搜索主要集中在连续波窄带信号上。我们证明，与较长的操作时标相比，与窄带信标相比，宽带脉冲脉冲信标相比具有高效。在这里，我们报告了第一次广泛的调查，以寻找这种宽带脉冲信标向1883年的恒星，这是突破性聆听寻求高级智能生活的一部分。我们使用Robert C. Byrd Green Bank望远镜进行了233个小时的深度观察，并搜索了三种具有人工（或负）分散体的信号。我们报告了详细的搜索 - 在高性能GPU上利用卷积神经网络分类器 - 在大规模搜索外星智能的信号中首次部署。由于我们的调查中没有任何利益的信号，我们对我们的太阳能社区中的存在构成了限制：$ \ lyssim $ 1千分之一的1000颗恒星具有发射机功率$ \ gtrsim $ 10 $^5 $^5 $^5 $ w/hz重复$ \ leq $ \ leq leq $ \ leq $ \ leq $ 500秒。
The search for extraterrestrial intelligence at radio frequencies has largely been focused on continuous-wave narrowband signals. We demonstrate that broadband pulsed beacons are energetically efficient compared to narrowband beacons over longer operational timescales. Here, we report the first extensive survey searching for such broadband pulsed beacons towards 1883 stars as a part of the Breakthrough Listen's search for advanced intelligent life. We conducted 233 hours of deep observations across 4 to 8 GHz using the Robert C. Byrd Green Bank Telescope and searched for three different classes of signals with artificial (or negative) dispersion. We report a detailed search -- leveraging a convolutional neural network classifier on high-performance GPUs -- deployed for the very first time in a large-scale search for signals from extraterrestrial intelligence. Due to the absence of any signal-of-interest from our survey, we place a constraint on the existence of broadband pulsed beacons in our solar neighborhood: $\lesssim$1 in 1000 stars have transmitter power-densities $\gtrsim$10$^5$ W/Hz repeating $\leq$500 seconds at these frequencies.
