脉冲星探测器的市民计算机：CICLOPS
Citizen COmputing for Pulsar Searches: CICLOPS
摘要：
当今脉冲星天文学中使用的大多数周期性搜索算法都非常高效，并利用了多个CPU或GPU。瓶颈通常表现为需要专家进行明智选择的操作。一个典型的情况是数据中存在射频干扰，这往往模仿脉冲星的周期性信号，需要对数百或数千个满足一些预先选择的标准的脉冲星“候选者”进行目视检查。CICLOPS是一个公民科学项目，旨在将寻找海盗转变为一个有趣的3D视频游戏。我们构建了一个分布式计算平台，使用用户的CPU和GPU运行计算，并利用人类在模式识别方面的独特能力来找到最佳候选脉动。
英文摘要：
Most periodicity search algorithms used in pulsar astronomy today are highly efficient and take advantage of multiple CPUs or GPUs. The bottlenecks are usually represented by the operations that require an informed choice from an expert eye. A typical case is the presence of radio-frequency interferences in the data, that often mimic the periodic signals of pulsars, and require visual inspection of hundreds or thousands of pulsar "candidates" satisfying a number of preselected criteria. CICLOPS is a citizen science project designed to transform the search for pulsars into an entertaining 3D video game. We build a distributed computing platform, running calculations with the user's CPUs and GPUs and using the unique human abilities in pattern recognition to find the best candidate pulsations.
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。
